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  1. Hemoglobin Screening Independently Predicts All-Cause Mortality.

    PubMed

    Fulks, Michael; Dolan, Vera F; Stout, Robert L

    2015-01-01

    Objective .- Determine if the addition of hemoglobin testing improves risk prediction for life insurance applicants. Method .- Hemoglobin results for insurance applicants tested from 1993 to 2007, with vital status determined by Social Security Death Master File follow-up in 2011, were analyzed by age and sex with and without accounting for the contribution of other test results. Results .- Hemoglobin values ≤12.0 g/dL (and possibly ≤13.0 g/dL) in females age 50+ (but not age <50) and hemoglobin values ≤13.0 g/dL in all males are associated with progressively increasing mortality risk independent of the contribution of other test values. Increased risk is also noted for hemoglobin values >15.0 g/dL (and possibly >14.0 g/dL) for all females and for hemoglobin values >16.0 g/dL for males. Conclusion .- Hemoglobin testing can add additional independent risk assessment to that obtained from other laboratory testing, BP and build in this relatively healthy insurance applicant population. Multiple studies support this finding at older ages, but data (and the prevalence of diseases impacting hemoglobin levels) are limited at younger ages. PMID:27584842

  2. Post-Exercise Heart Rate Recovery Independently Predicts Mortality Risk in Patients with Chronic Heart Failure

    PubMed Central

    Tang, Yi-Da; Dewland, Thomas A.; Wencker, Detlef; Katz, Stuart D.

    2009-01-01

    Background Post-exercise heart rate recovery (HRR) is an index of parasympathetic function associated with clinical outcomes in populations with and without documented coronary heart disease. Decreased parasympathetic activity is thought to be associated with disease progression in chronic heart failure (HF), but an independent association between post-exercise HRR and clinical outcomes among such patients has not been established. Methods and Results We measured HRR (calculated as the difference between heart rate at peak exercise and after 1 minute of recovery) in 202 HF subjects and recorded 17 mortality and 15 urgent transplantation outcome events over 624 days of follow-up. Reduced post-exercise HRR was independently associated with increased event risk after adjusting for other exercise-derived variables (peak oxygen uptake and VE/VCO2 slope), for the Heart Failure Survival Score (adjusted HR 1.09 for one beat/min reduction, 95% CI 1.05-1.13, p<0.0001) and the Seattle Heart Failure Model score (adjusted HR 1.08 for one beat/min reduction, 95% CI 1.05-1.12, p<0.0001). Subjects in the lowest risk tertile based on post-exercise HRR (≥30 beats/min) had low risk of events irrespective of the risk predicted by the survival scores. In a subgroup of 15 subjects, reduced post-exercise HRR was associated with increased serum markers of inflammation (interleukin-6 r=0.58, p=0.024, high sensitivity C-reactive protein r=0.66, p=0.007). Conclusions Post-exercise HRR predicts mortality risk in patients with HF and provides prognostic information independent of previously described survival models. Pathophysiologic links between autonomic function and inflammation may be mediators of this association. PMID:19944361

  3. CIBMTR Chronic GVHD Risk Score Predicts Mortality in an Independent Validation Cohort

    PubMed Central

    Arora, Mukta; Hemmer, Michael T.; Ahn, Kwang Woo; Klein, John P.; Cutler, Corey S.; Urbano-Ispizua, Alvaro; Couriel, Daniel R.; Alousi, Amin M.; Gale, Robert Peter; Inamoto, Yoshihiro; Weisdorf, Daniel J.; Li, Peigang; Antin, Joseph H.; Bolwell, Brian J.; Boyiadzis, Michael; Cahn, Jean-Yves; Cairo, Mitchell S.; Isola, Luis M.; Jacobsohn, David A.; Jagasia, Madan; Klumpp, Thomas R.; Petersdorf, Effie W.; Santarone, Stella; Schouten, Harry C.; Wingard, John R.; Spellman, Stephen R.; Pavletic, Steven Z.; Lee, Stephanie J.; Horowitz, Mary M.; Flowers, Mary E.D.

    2015-01-01

    We previously reported a risk score that predicted mortality in patients with chronic graft-versus-host disease (CGVHD) after hematopoietic stem cell transplant (HCT) between 1995–2004 and reported to the Center for International Blood and Marrow Transplant Registry (CIBMTR). We sought to validate this risk score in an independent CIBMTR cohort of 1128 patients with CGVHD transplanted between 2005–2007 using the same inclusion criteria and risk-score calculations. According to the sum of the overall risk score (range 1 to 12), patients were assigned to 4 risk-groups (RGs): RG1 (0–2), RG2 (3–6), RG3 (7–8) and RG4 (9–10). RG3 and 4 were combined as RG4 comprised only 1% of the total cohort. Cumulative incidences of non relapse mortality (NRM) and probability of overall survival (OS) were significantly different between each RG (all p<0.01). NRM and OS at five years after CGVHD for each RG were 17% and 72% in RG1, 26% and 53% in RG2, and 44% and 25% in RG 3, respectively (all p<0.01). Our study validates the prognostic value of the CIBMTR CGVHD RGs for OS and NRM in a contemporary transplant population. The CIBMTR CGVHD RGs can be used to predict major outcomes, tailor treatment planning, and enrollment in clinical trials. PMID:25528390

  4. Center for International Blood and Marrow Transplant Research chronic graft-versus-host disease risk score predicts mortality in an independent validation cohort.

    PubMed

    Arora, Mukta; Hemmer, Michael T; Ahn, Kwang Woo; Klein, John P; Cutler, Corey S; Urbano-Ispizua, Alvaro; Couriel, Daniel R; Alousi, Amin M; Gale, Robert Peter; Inamoto, Yoshihiro; Weisdorf, Daniel J; Li, Peigang; Antin, Joseph H; Bolwell, Brian J; Boyiadzis, Michael; Cahn, Jean-Yves; Cairo, Mitchell S; Isola, Luis M; Jacobsohn, David A; Jagasia, Madan; Klumpp, Thomas R; Petersdorf, Effie W; Santarone, Stella; Schouten, Harry C; Wingard, John R; Spellman, Stephen R; Pavletic, Steven Z; Lee, Stephanie J; Horowitz, Mary M; Flowers, Mary E D

    2015-04-01

    We previously reported a risk score that predicted mortality in patients with chronic graft-versus-host disease (CGVHD) after hematopoietic stem cell transplantation (HCT) between 1995 and 2004 and reported to the Center for International Blood and Marrow Transplant Research (CIBMTR). We sought to validate this risk score in an independent CIBMTR cohort of 1128 patients with CGVHD who underwent transplantation between 2005 and 2007 using the same inclusion criteria and risk score calculations. According to the sum of the overall risk score (range, 1 to 12), patients were assigned to 4 risk groups (RGs): RG1 (0 to 2), RG2 (3 to 6), RG3 (7 to 8), and RG4 (9 to 10). RG3 and RG4 were combined, as RG4 accounted for only 1% of the total cohort. Cumulative incidences of nonrelapse mortality (NRM) and probability of overall survival were significantly different between each RG (all P < .01). NRM and overall survival at 5 years after CGVHD for each RG were 17% and 72% in RG1, 26% and 53% in RG2, and 44% and 25% in RG3, respectively (all P < .01). Our study validates the prognostic value of the CIBMTR CGVHD RGs for overall survival and NRM in a contemporary transplantation population. The CIBMTR CGVHD RGs can be used to predict major outcomes, tailor treatment planning, and enroll patients in clinical trials. PMID:25528390

  5. Seven-Day Mortality Can Be Predicted in Medical Patients by Blood Pressure, Age, Respiratory Rate, Loss of Independence, and Peripheral Oxygen Saturation (the PARIS Score): A Prospective Cohort Study with External Validation

    PubMed Central

    Brabrand, Mikkel; Lassen, Annmarie Touborg; Knudsen, Torben; Hallas, Jesper

    2015-01-01

    Background Most existing risk stratification systems predicting mortality in emergency departments or admission units are complex in clinical use or have not been validated to a level where use is considered appropriate. We aimed to develop and validate a simple system that predicts seven-day mortality of acutely admitted medical patients using routinely collected variables obtained within the first minutes after arrival. Methods and Findings This observational prospective cohort study used three independent cohorts at the medical admission units at a regional teaching hospital and a tertiary university hospital and included all adult (≥15 years) patients. Multivariable logistic regression analysis was used to identify the clinical variables that best predicted the endpoint. From this, we developed a simplified model that can be calculated without specialized tools or loss of predictive ability. The outcome was defined as seven-day all-cause mortality. 76 patients (2.5%) met the endpoint in the development cohort, 57 (2.0%) in the first validation cohort, and 111 (4.3%) in the second. Systolic blood Pressure, Age, Respiratory rate, loss of Independence, and peripheral oxygen Saturation were associated with the endpoint (full model). Based on this, we developed a simple score (range 0–5), ie, the PARIS score, by dichotomizing the variables. The ability to identify patients at increased risk (discriminatory power and calibration) was excellent for all three cohorts using both models. For patients with a PARIS score ≥3, sensitivity was 62.5–74.0%, specificity 85.9–91.1%, positive predictive value 11.2–17.5%, and negative predictive value 98.3–99.3%. Patients with a score ≤1 had a low mortality (≤1%); with 2, intermediate mortality (2–5%); and ≥3, high mortality (≥10%). Conclusions Seven-day mortality can be predicted upon admission with high sensitivity and specificity and excellent negative predictive values. PMID:25867881

  6. Independent predictors of mortality following spine surgery.

    PubMed

    Desai, Rupen; Nayar, Gautam; Suresh, Visakha; Wang, Timothy Y; Loriaux, Daniel; Martin, Joel R; Gottfried, Oren N

    2016-07-01

    We investigated the effect of preoperative patient demographics and operative factors on mortality in the 30day postoperative period after spine surgery. Postoperative mortality from surgical interventions has significantly decreased with progressive improvement in surgical techniques and patient selection. Well-studied preoperative risk factors include age, obesity, emphysema, clotting disorders, renal failure, and cardiovascular disease. However, the prognostic implications of such risk factors after spine surgery specifically remain unknown. The medical records of all consecutive patients undergoing spine surgery from 2008-2010 at our institution were reviewed. Patient demographics, comorbidities, indication for operation, surgical details, postoperative complications, and mortalities were collected. The association between preoperative demographics or surgical details and postoperative mortality was assessed via logistic regression analysis. All 1344 consecutive patients (1153 elective, 191 emergency) met inclusion criteria for the study; 19 (1.4%) patients died in the 30days following surgery. Multivariable logistic regression found several predictive factors of mortality for all spine surgery patients: operation in the cervical area (odds ratio [OR]: 7.279, 95% confidence interval [CI]: 1.37-42.83, p=0.02), postoperative sepsis (OR: 5.75, 95% CI: 1.16-26.38, p=0.03), operation for neoplastic (OR: 7.68, 95% CI: 1.53-42.71, p=0.01) or traumatic (OR: 13.76, 95% CI: 2.40-88.68, p=0.03) etiology, and age as defined as a continuous variable (OR: 1.05, 95% CI: 1.01-1.10, p=0.03). This study demonstrates predictive factors to help identify and evaluate patients who are at higher risk for mortality from spinal surgery, and potentially devise methods to reduce this risk. PMID:26928158

  7. Red blood cell distribution width independently predicts medium-term mortality and major adverse cardiac events after an acute coronary syndrome

    PubMed Central

    Turcato, Gianni; Serafini, Valentina; Dilda, Alice; Bovo, Chiara; Caruso, Beatrice; Ricci, Giorgio

    2016-01-01

    Background The value of red blood cell distribution width (RDW), a simple and inexpensive measure of anisocytosis, has been associated with the outcome of many human chronic disorders. Therefore, this retrospective study was aimed to investigate whether RDW may be associated with medium-term mortality and major adverse cardiac events (MACE) after an acute coronary syndrome (ACS). Methods A total number of 979 patients diagnosed with ACS were enrolled from June 2014 to November 2014, and followed-up until June 2015. Results The RDW value in patients with 3-month MACE and in those who died was significantly higher than that of patients without 3-month MACE (13.3% vs. 14.0%; P<0.001) and those who were still alive at the end of follow-up (13.4% vs. 14.4%; P<0.001). In univariate analysis, RDW was found to be associated with 3-month MACE [odds ratio (OR), 1.70; 95% CI, 1.44–2.00, P<0.001]. In multivariate analysis, RDW remained independently associated with 3-month MACE (adjusted OR, 1.36; 95% CI, 1.19–1.55; P<0.001) and death (adjusted OR, 1.34; 95% CI, 1.05–1.71; P=0.020). The accuracy of RDW for predicting 3-month MACE was 0.67 (95% CI, 0.66–0.72; P<0.001). The most efficient discriminatory RDW value was 14.8%, which was associated with 3.8 (95% CI, 2.6–5.7; P<0.001) higher risk of 3-month MACE. Patients with RDW >14.8% exhibited a significantly short survival than those with RDW ≤14.8% (331 vs. 465 days; P<0.001). Conclusions The results of this study confirm that RDW may be a valuable, easy and inexpensive parameter for stratifying the medium-term risk in patients with ACS. PMID:27500155

  8. HDAC1 and HDAC2 independently predict mortality in hepatocellular carcinoma by a competing risk regression model in a Southeast Asian population

    PubMed Central

    LER, SER YENG; LEUNG, CAROL HO WING; KHIN, LAY WAI; LU, GUO-DONG; SALTO-TELLEZ, MANUEL; HARTMAN, MIKAEL; IAU, PHILIP TSAU CHOONG; YAP, CELESTIAL T.; HOOI, SHING CHUAN

    2015-01-01

    Histone deacetylases (HDACs) are enzymes involved in transcriptional repression. We aimed to examine the significance of HDAC1 and HDAC2 gene expression in the prediction of recurrence and survival in 156 patients with hepatocellular carcinoma (HCC) among a South East Asian population who underwent curative surgical resection in Singapore. We found that HDAC1 and HDAC2 were upregulated in the majority of HCC tissues. The presence of HDAC1 in tumor tissues was correlated with poor tumor differentiation. Notably, HDAC1 expression in adjacent non-tumor hepatic tissues was correlated with the presence of satellite nodules and multiple lesions, suggesting that HDAC1 upregulation within the field of HCC may contribute to tumor spread. Using competing risk regression analysis, we found that increased cancer-specific mortality was significantly associated with HDAC2 expression. Mortality was also increased with high HDAC1 expression. In the liver cancer cell lines, HEP3B, HEPG2, PLC5, and a colorectal cancer cell line, HCT116, the combined knockdown of HDAC1 and HDAC2 increased cell death and reduced cell proliferation as well as colony formation. In contrast, knockdown of either HDAC1 or HDAC2 alone had minimal effects on cell death and proliferation. Taken together, our study suggests that both HDAC1 and HDAC2 exert pro-survival effects in HCC cells, and the combination of isoform-specific HDAC inhibitors against both HDACs may be effective in targeting HCC to reduce mortality. PMID:26352599

  9. Extensively drug-resistant bacteria are an independent predictive factor of mortality in 130 patients with spontaneous bacterial peritonitis or spontaneous bacteremia

    PubMed Central

    Alexopoulou, Alexandra; Vasilieva, Larisa; Agiasotelli, Danai; Siranidi, Kyriaki; Pouriki, Sophia; Tsiriga, Athanasia; Toutouza, Marina; Dourakis, Spyridon P

    2016-01-01

    AIM: To evaluate the epidemiology and outcomes of culture-positive spontaneous bacterial peritonitis (SBP) and spontaneous bacteremia (SB) in decompensated cirrhosis. METHODS: We prospectively collected clinical, laboratory characteristics, type of administered antibiotic, susceptibility and resistance of bacteria to antibiotics in one hundred thirty cases (68.5% males) with positive ascitic fluid and/or blood cultures during the period from January 1, 2012 to May 30, 2014. All patients with SBP had polymorphonuclear cell count in ascitic fluid > 250/mm3. In patients with SB a thorough study did not reveal any other cause of bacteremia. The patients were followed-up for a 30-d period following diagnosis of the infection. The final outcome of the patients was recorded in the end of follow-up and comparison among 3 groups of patients according to the pattern of drug resistance was performed. RESULTS: Gram-positive-cocci (GPC) were found in half of the cases. The most prevalent organisms in a descending order were Escherichia coli (33), Enterococcus spp (30), Streptococcus spp (25), Klebsiella pneumonia (16), S. aureus (8), Pseudomanas aeruginosa (5), other Gram-negative-bacteria (GNB) (11) and anaerobes (2). Overall, 20.8% of isolates were multidrug-resistant (MDR) and 10% extensively drug-resistant (XDR). Health-care-associated (HCA) and/or nosocomial infections were present in 100% of MDR/XDR and in 65.5% of non-DR cases. Meropenem was the empirically prescribed antibiotic in HCA/nosocomial infections showing a drug-resistance rate of 30.7% while third generation cephalosporins of 43.8%. Meropenem was ineffective on both XDR bacteria and Enterococcus faecium (E. faecium). All but one XDR were susceptible to colistin while all GPC (including E. faecium) and the 86% of GNB to tigecycline. Overall 30-d mortality was 37.7% (69.2% for XDR and 34.2% for the rest of the patients) (log rank, P = 0.015). In multivariate analysis, factors adversely affecting outcome included

  10. Consistent Predictions of Future Forest Mortality

    NASA Astrophysics Data System (ADS)

    McDowell, N. G.

    2014-12-01

    We examined empirical and model based estimates of current and future forest mortality of conifers in the northern hemisphere. Consistent water potential thresholds were found that resulted in mortality of our case study species, pinon pine and one-seed juniper. Extending these results with IPCC climate scenarios suggests that most existing trees in this region (SW USA) will be dead by 2050. Further, independent estimates of future mortality for the entire coniferous biome suggest widespread mortality by 2100. The validity and assumptions and implications of these results are discussed.

  11. Tree mortality predicted from drought-induced vascular damage

    NASA Astrophysics Data System (ADS)

    Anderegg, William R. L.; Flint, Alan; Huang, Cho-Ying; Flint, Lorraine; Berry, Joseph A.; Davis, Frank W.; Sperry, John S.; Field, Christopher B.

    2015-05-01

    The projected responses of forest ecosystems to warming and drying associated with twenty-first-century climate change vary widely from resiliency to widespread tree mortality. Current vegetation models lack the ability to account for mortality of overstorey trees during extreme drought owing to uncertainties in mechanisms and thresholds causing mortality. Here we assess the causes of tree mortality, using field measurements of branch hydraulic conductivity during ongoing mortality in Populus tremuloides in the southwestern United States and a detailed plant hydraulics model. We identify a lethal plant water stress threshold that corresponds with a loss of vascular transport capacity from air entry into the xylem. We then use this hydraulic-based threshold to simulate forest dieback during historical drought, and compare predictions against three independent mortality data sets. The hydraulic threshold predicted with 75% accuracy regional patterns of tree mortality as found in field plots and mortality maps derived from Landsat imagery. In a high-emissions scenario, climate models project that drought stress will exceed the observed mortality threshold in the southwestern United States by the 2050s. Our approach provides a powerful and tractable way of incorporating tree mortality into vegetation models to resolve uncertainty over the fate of forest ecosystems in a changing climate.

  12. Prediction of Mortality Based on Facial Characteristics.

    PubMed

    Delorme, Arnaud; Pierce, Alan; Michel, Leena; Radin, Dean

    2016-01-01

    Recent studies have shown that characteristics of the face contain a wealth of information about health, age and chronic clinical conditions. Such studies involve objective measurement of facial features correlated with historical health information. But some individuals also claim to be adept at gauging mortality based on a glance at a person's photograph. To test this claim, we invited 12 such individuals to see if they could determine if a person was alive or dead based solely on a brief examination of facial photographs. All photos used in the experiment were transformed into a uniform gray scale and then counterbalanced across eight categories: gender, age, gaze direction, glasses, head position, smile, hair color, and image resolution. Participants examined 404 photographs displayed on a computer monitor, one photo at a time, each shown for a maximum of 8 s. Half of the individuals in the photos were deceased, and half were alive at the time the experiment was conducted. Participants were asked to press a button if they thought the person in a photo was living or deceased. Overall mean accuracy on this task was 53.8%, where 50% was expected by chance (p < 0.004, two-tail). Statistically significant accuracy was independently obtained in 5 of the 12 participants. We also collected 32-channel electrophysiological recordings and observed a robust difference between images of deceased individuals correctly vs. incorrectly classified in the early event related potential (ERP) at 100 ms post-stimulus onset. Our results support claims of individuals who report that some as-yet unknown features of the face predict mortality. The results are also compatible with claims about clairvoyance warrants further investigation. PMID:27242466

  13. Prediction of Mortality Based on Facial Characteristics

    PubMed Central

    Delorme, Arnaud; Pierce, Alan; Michel, Leena; Radin, Dean

    2016-01-01

    Recent studies have shown that characteristics of the face contain a wealth of information about health, age and chronic clinical conditions. Such studies involve objective measurement of facial features correlated with historical health information. But some individuals also claim to be adept at gauging mortality based on a glance at a person’s photograph. To test this claim, we invited 12 such individuals to see if they could determine if a person was alive or dead based solely on a brief examination of facial photographs. All photos used in the experiment were transformed into a uniform gray scale and then counterbalanced across eight categories: gender, age, gaze direction, glasses, head position, smile, hair color, and image resolution. Participants examined 404 photographs displayed on a computer monitor, one photo at a time, each shown for a maximum of 8 s. Half of the individuals in the photos were deceased, and half were alive at the time the experiment was conducted. Participants were asked to press a button if they thought the person in a photo was living or deceased. Overall mean accuracy on this task was 53.8%, where 50% was expected by chance (p < 0.004, two-tail). Statistically significant accuracy was independently obtained in 5 of the 12 participants. We also collected 32-channel electrophysiological recordings and observed a robust difference between images of deceased individuals correctly vs. incorrectly classified in the early event related potential (ERP) at 100 ms post-stimulus onset. Our results support claims of individuals who report that some as-yet unknown features of the face predict mortality. The results are also compatible with claims about clairvoyance warrants further investigation. PMID:27242466

  14. Overhydration Is a Strong Predictor of Mortality in Peritoneal Dialysis Patients – Independently of Cardiac Failure

    PubMed Central

    Jotterand Drepper, Valérie; Kihm, Lars P.; Kälble, Florian; Diekmann, Christian; Seckinger, Joerg; Sommerer, Claudia; Zeier, Martin; Schwenger, Vedat

    2016-01-01

    Background Overhydration is a common problem in peritoneal dialysis patients and has been shown to be associated with mortality. However, it still remains unclear whether overhydration per se is predictive of mortality or whether it is mainly a reflection of underlying comorbidities. The purpose of our study was to assess overhydration in peritoneal dialysis patients using bioimpedance spectroscopy and to investigate whether overhydration is an independent predictor of mortality. Methods We analyzed and followed 54 peritoneal dialysis patients between June 2008 and December 2014. All patients underwent bioimpedance spectroscopy measurement once and were allocated to normohydrated and overhydrated groups. Overhydration was defined as an absolute overhydration/extracellular volume ratio > 15%. Simultaneously, clinical, echocardiographic and laboratory data were assessed. Heart failure was defined either on echocardiography, as a reduced left ventricular ejection fraction, or clinically according to the New York Heart Association functional classification. Patient survival was documented up until December 31st 2014. Factors associated with mortality were identified and a multivariable Cox regression model was used to identify independent predictors of mortality. Results Apart from higher daily peritoneal ultrafiltration rate and cumulative diuretic dose in overhydrated patients, there were no significant differences between the 2 groups, in particular with respect to gender, body mass index, comorbidity and cardiac medication. Mortality was higher in overhydrated than in euvolemic patients. In the univariate analysis, increased age, overhydration, low diastolic blood pressure, raised troponin and NTproBNP, hypoalbuminemia, heart failure but not CRP were predictive of mortality. After adjustment, only overhydration, increased age and low diastolic blood pressure remained statistically significant in the multivariate analysis. Conclusions Overhydration remains an

  15. Vitamin D status predicts 30 day mortality in hospitalised cats.

    PubMed

    Titmarsh, Helen; Kilpatrick, Scott; Sinclair, Jennifer; Boag, Alisdair; Bode, Elizabeth F; Lalor, Stephanie M; Gaylor, Donna; Berry, Jacqueline; Bommer, Nicholas X; Gunn-Moore, Danielle; Reed, Nikki; Handel, Ian; Mellanby, Richard J

    2015-01-01

    Vitamin D insufficiency, defined as low serum concentrations of the major circulating form of vitamin D, 25 hydroxyvitamin D (25(OH)D), has been associated with the development of numerous infectious, inflammatory, and neoplastic disorders in humans. In addition, vitamin D insufficiency has been found to be predictive of mortality for many disorders. However, interpretation of human studies is difficult since vitamin D status is influenced by many factors, including diet, season, latitude, and exposure to UV radiation. In contrast, domesticated cats do not produce vitamin D cutaneously, and most cats are fed a commercial diet containing a relatively standard amount of vitamin D. Consequently, domesticated cats are an attractive model system in which to examine the relationship between serum 25(OH)D and health outcomes. The hypothesis of this study was that vitamin D status would predict short term, all-cause mortality in domesticated cats. Serum concentrations of 25(OH)D, together with a wide range of other clinical, hematological, and biochemical parameters, were measured in 99 consecutively hospitalised cats. Cats which died within 30 days of initial assessment had significantly lower serum 25(OH)D concentrations than cats which survived. In a linear regression model including 12 clinical variables, serum 25(OH)D concentration in the lower tertile was significantly predictive of mortality. The odds ratio of mortality within 30 days was 8.27 (95% confidence interval 2.54-31.52) for cats with a serum 25(OH)D concentration in the lower tertile. In conclusion, this study demonstrates that low serum 25(OH)D concentration status is an independent predictor of short term mortality in cats. PMID:25970442

  16. Vitamin D Status Predicts 30 Day Mortality in Hospitalised Cats

    PubMed Central

    Titmarsh, Helen; Kilpatrick, Scott; Sinclair, Jennifer; Boag, Alisdair; Bode, Elizabeth F.; Lalor, Stephanie M.; Gaylor, Donna; Berry, Jacqueline; Bommer, Nicholas X.; Gunn-Moore, Danielle; Reed, Nikki; Handel, Ian; Mellanby, Richard J.

    2015-01-01

    Vitamin D insufficiency, defined as low serum concentrations of the major circulating form of vitamin D, 25 hydroxyvitamin D (25(OH)D), has been associated with the development of numerous infectious, inflammatory, and neoplastic disorders in humans. In addition, vitamin D insufficiency has been found to be predictive of mortality for many disorders. However, interpretation of human studies is difficult since vitamin D status is influenced by many factors, including diet, season, latitude, and exposure to UV radiation. In contrast, domesticated cats do not produce vitamin D cutaneously, and most cats are fed a commercial diet containing a relatively standard amount of vitamin D. Consequently, domesticated cats are an attractive model system in which to examine the relationship between serum 25(OH)D and health outcomes. The hypothesis of this study was that vitamin D status would predict short term, all-cause mortality in domesticated cats. Serum concentrations of 25(OH)D, together with a wide range of other clinical, hematological, and biochemical parameters, were measured in 99 consecutively hospitalised cats. Cats which died within 30 days of initial assessment had significantly lower serum 25(OH)D concentrations than cats which survived. In a linear regression model including 12 clinical variables, serum 25(OH)D concentration in the lower tertile was significantly predictive of mortality. The odds ratio of mortality within 30 days was 8.27 (95% confidence interval 2.54-31.52) for cats with a serum 25(OH)D concentration in the lower tertile. In conclusion, this study demonstrates that low serum 25(OH)D concentration status is an independent predictor of short term mortality in cats. PMID:25970442

  17. Predicting mortality based on body composition analysis.

    PubMed Central

    Tellado, J M; Garcia-Sabrido, J L; Hanley, J A; Shizgal, H M; Christou, N V

    1989-01-01

    The role of the Nae/Ke ratio (the ratio of exchangeable sodium to exchangeable potassium) was examined as a nutritional marker in surgical patients in relation to anthropometrical and biochemical indexes by its ability to identify patients at risk for mortality after hospitalization. In 73 patients with sepsis and malnutrition (Training Group, Madrid) the following were determined: percentage of recent weight loss, triceps skin fold, midarm muscle circumference, serum albumin, serum transferrin, delayed hypersensitivity skin test response, total lymphocytes, and Nae/Ke ratio by multiple isotope dilution. The predictive power of Nae/Ke ratio was so strong (F = 105.1; p less than 0.00001) that it displaced anthropometric, biochemical, and immunologic variables from the linear equation derived from stepwise discriminant analysis using hospital mortality as the dependent variable. A theoretical curve of expected deaths was developed, based on an equation obtained by logistic regression analysis: Pr/death/ = 1/(1 + e[11.8-5.2 Nae/Ke]). Pre- and post-test probabilities on that curve allowed us to determine two cut-off values, Nae/Ke ratios of 1.5 and 2.5, which were markers for nonrisk and mortality, respectively. The model was tested in a heterogeneous data base of surgical patients (n = 417) in another hospital (Validation Group, Montreal). For patients exhibiting an abnormal Nae/Ke ratio (greater than 1.2) and a greater than 10% of probability of death, 54 deaths were expected and 53 observed (X2 = 1.8 NS). Two tests confirmed the basic agreement between the model and its performance, a G statistic of -0.704 and the area beneath the "receiver-operating-characteristic" (ROC) curve (Az = 0.904 + 0.0516 for the Madrid group vs. Az = 0.915 + 0.0349 for the Montreal group, NS). It was concluded from this analysis that, compared with the usual anthropometric measurements, the Nae/Ke ratio, if available, is the best method for identifying malnourished patients at risk of

  18. Illness Beliefs Predict Mortality in Patients with Diabetic Foot Ulcers

    PubMed Central

    Vedhara, Kavita; Dawe, Karen; Miles, Jeremy N. V.; Wetherell, Mark A.; Cullum, Nicky; Dayan, Colin; Drake, Nicola; Price, Patricia; Tarlton, John; Weinman, John; Day, Andrew; Campbell, Rona; Reps, Jenna; Soria, Daniele

    2016-01-01

    Background Patients’ illness beliefs have been associated with glycaemic control in diabetes and survival in other conditions. Objective We examined whether illness beliefs independently predicted survival in patients with diabetes and foot ulceration. Methods Patients (n = 169) were recruited between 2002 and 2007. Data on illness beliefs were collected at baseline. Data on survival were extracted on 1st November 2011. Number of days survived reflected the number of days from date of recruitment to 1st November 2011. Results Cox regressions examined the predictors of time to death and identified ischemia and identity beliefs (beliefs regarding symptoms associated with foot ulceration) as significant predictors of time to death. Conclusions Our data indicate that illness beliefs have a significant independent effect on survival in patients with diabetes and foot ulceration. These findings suggest that illness beliefs could improve our understanding of mortality risk in this patient group and could also be the basis for future therapeutic interventions to improve survival. PMID:27096609

  19. Predictive Mortality Index for Community-Dwelling Elderly Koreans

    PubMed Central

    Kim, Nan H.; Cho, Hyun J.; Kim, Soriul; Seo, Ji H.; Lee, Hyun J.; Yu, Ji H.; Chung, Hye S.; Yoo, Hye J.; Seo, Ji A.; Kim, Sin Gon; Baik, Sei Hyun; Choi, Dong Seop; Shin, Chol; Choi, Kyung Mook

    2016-01-01

    Abstract There are very few predictive indexes for long-term mortality among community-dwelling elderly Asian individuals, despite its importance, given the rapid and continuous increase in this population. We aimed to develop 10-year predictive mortality indexes for community-dwelling elderly Korean men and women based on routinely collected clinical data. We used data from 2244 elderly individuals (older than 60 years of age) from the southwest Seoul Study, a prospective cohort study, for the development of a prognostic index. An independent longitudinal cohort of 679 elderly participants was selected from the Korean Genome Epidemiology Study in Ansan City for validation. During a 10-year follow-up, 393 participants (17.5%) from the development cohort died. Nine risk factors were identified and weighed in the Cox proportional regression model to create a point scoring system: age, male sex, smoking, diabetes, systolic blood pressure, triglyceride, total cholesterol, white blood cell count, and hemoglobin. In the development cohort, the 10-year mortality risk was 6.6%, 14.8%, 18.2%, and 38.4% among subjects with 1 to 4, 5 to 7, 8 to 9, and ≥10 points, respectively. In the validation cohort, the 10-year mortality risk was 5.2%, 12.0%, 16.0%, and 16.0% according to these categories. The C-statistic for the point system was 0.73 and 0.67 in the development and validation cohorts, respectively. The present study provides valuable information for prognosis among elderly Koreans and may guide individualized approaches for appropriate care in a rapidly aging society. PMID:26844511

  20. Predicting postoperative mortality in patients undergoing colorectal surgery.

    PubMed

    Slim, Karem; Panis, Yves; Alves, Arnaud; Kwiatkowski, Fabrice; Mathieu, Pierre; Mantion, Georges

    2006-01-01

    Well-known and suitable instruments for surgical audit are the POSSUM and P-POSSUM scoring systems. But these scores have not been well validated across the countries. The objective of the present study was to assess the predictive value of scores for colorectal surgery in France. Patients operated on for colorectal malignant or diverticular diseases, whether electively or on emergency basis, within a 4-month period were included in a prospective multicenter study conducted by the French Association for Surgery (Association Française de Chirurgie, AFC). The main outcome measure was postoperative in-hospital mortality. Independent factors leading to death were assessed by multivariate logistic regression analysis (AFC-index). The ratio of expected versus observed deaths was calculated, and the predictive value of the POSSUM and P-POSSUM scores were analyzed by the receiver operating characteristic (ROC) curve. A total of 1426 patients were included. The in-hospital death rate was 3.4%. Four independent preoperative factors (AFC-index) have been found: emergency surgery, loss of more than 10% of weight, neurological disease history, and age > 70 years. POSSUM had a poor predictive value; it overestimated postoperative death in all cases. P-POSSUM had a good predictive value, except for elective surgery, where it overestimated postoperative death twofold. The predictive value of the AFC-index was also good. It had the same sensitivity and specificity as the P-POSSUM. POSSUM has not been validated in France in the field of colorectal surgery. P-POSSUM was as predictive as the AFC-index which is a simpler instrument based on four clinical parameters (without any mathematical formulas). PMID:16369701

  1. Mortality of atomic bomb survivors predicted from laboratory animals

    NASA Technical Reports Server (NTRS)

    Carnes, Bruce A.; Grahn, Douglas; Hoel, David

    2003-01-01

    Exposure, pathology and mortality data for mice, dogs and humans were examined to determine whether accurate interspecies predictions of radiation-induced mortality could be achieved. The analyses revealed that (1) days of life lost per unit dose can be estimated for a species even without information on radiation effects in that species, and (2) accurate predictions of age-specific radiation-induced mortality in beagles and the atomic bomb survivors can be obtained from a dose-response model for comparably exposed mice. These findings illustrate the value of comparative mortality analyses and the relevance of animal data to the study of human health effects.

  2. Prediction of mortality rates in the presence of missing values

    NASA Astrophysics Data System (ADS)

    Tan, Chon Sern; Pooi, Ah Hin

    2015-12-01

    A time series model based on multivariate power-normal distribution has been applied in the past literature on the United States (US) mortality data from the years 1933 to 2000 to forecast the future age-specific mortality rates of the years 2001 to 2010. In this paper, we show that the method based on multivariate power-normal distribution can still be used for an incomplete US mortality dataset that contains some missing values. The prediction intervals based on this incomplete training data are found to still have good ability of covering the observed future mortality rates although the interval lengths may become wider for long-range prediction.

  3. Mortality of atomic bomb survivors predicted from laboratory animals.

    PubMed

    Carnes, Bruce A; Grahn, Douglas; Hoel, David

    2003-08-01

    Exposure, pathology and mortality data for mice, dogs and humans were examined to determine whether accurate interspecies predictions of radiation-induced mortality could be achieved. The analyses revealed that (1) days of life lost per unit dose can be estimated for a species even without information on radiation effects in that species, and (2) accurate predictions of age-specific radiation-induced mortality in beagles and the atomic bomb survivors can be obtained from a dose-response model for comparably exposed mice. These findings illustrate the value of comparative mortality analyses and the relevance of animal data to the study of human health effects. PMID:12859226

  4. Predicting drought-induced tree mortality in the western United States

    NASA Astrophysics Data System (ADS)

    Anderegg, W.; Wolf, A.; Shevliakova, E.; Pacala, S. W.

    2015-12-01

    Projected responses of forest ecosystems to warming and drying associated with 21st century climate change vary widely from resiliency to widespread dieback. A major shortcoming of current vegetation models is the inability to account for mortality of overstory trees during extreme drought due to uncertainties in mechanisms and thresholds. In this talk, I discuss two modeling efforts to predict drought-induced tree mortality in the western United States. In the first, we identify a lethal drought threshold in the loss of vascular transport capacity from xylem cavitation, which provides insight into what initiates mortality, in Populus tremuloides in the southwestern United States. We then use the hydraulic-based threshold to produce a hindcast of a drought-induced forest dieback and compare predictions against three independent regional mortality datasets. The hydraulic threshold predicted major regional patterns of tree mortality with high accuracy based on field plots and mortality maps derived from Landsat imagery. Climate model simulations project increasing drought stress in this region that exceeds the observed mortality threshold in the high emissions scenario by the 2050s, likely triggering further widespread diebacks. In the second approach, we build a dynamic plant hydraulic model into a land-surface model and compare predictions against observed mortality patterns across multiple species. These methods provide powerful and tractable approaches for incorporating tree mortality into vegetation models to resolve uncertainty over the fate of forest ecosystems in a changing climate.

  5. Do hassles and uplifts trajectories predict mortality? Longitudinal findings from the VA Normative Aging Study.

    PubMed

    Jeong, Yu-Jin; Aldwin, Carolyn M; Igarashi, Heidi; Spiro, Avron

    2016-06-01

    We examined whether longitudinal patterns of hassles and uplifts trajectories predicted mortality, using a sample of 1315 men from the VA Normative Aging Study (mean age = 65.31, SD = 7.6). In prior work, we identified different trajectory classes of hassles and uplifts exposure and intensity scores over a period of 16 years. In this study, we used the probabilities of these exposure and intensity class memberships to examine their ability to predict mortality. Men with higher probabilities of high hassle intensity trajectory class and high uplift intensity class had higher mortality risks. In a model combining the probabilities of hassle and uplift intensities, the probability of high intensity hassle class membership significantly increased the risk of mortality. This suggests that appraisals of hassles intensity are better predictors of mortality than simple exposure measures, and that uplifts have no independent effects. PMID:26721518

  6. Height Loss in Older Women: Risk of Hip Fracture and Mortality Independent of Vertebral Fractures

    PubMed Central

    Hillier, Teresa A.; Lui, Li-Yung; Kado, Deborah M.; LeBlanc, ES; Vesco, Kimberly K; Bauer, Douglas C.; Cauley, Jane A.; Ensrud, Kristine E.; Black, Dennis M.; Hochberg, Marc C.; Cummings, Steven R.

    2013-01-01

    We examined if height loss in older women predicts risk of hip fractures, other non-spine fractures, and mortality, and whether this risk is independent of both vertebral fractures (VFx) and bone mineral density (BMD) by dual-energy x-ray absorptiometry. Among 3,124 women age 65 and older in the Study of Osteoporotic Fractures, we assessed the association with measured height change between Year 0 (1986–1988) and Year 15 (2002–2004) and subsequent risk of radiologically confirmed hip fractures, other non-spine fractures, and mortality assessed via death certificates. Follow-up occurred every 4 months for fractures and vital status (>95% contacts complete). Cox proportional hazards models assessed risk of hip fracture, non-spine fracture, and mortality over a mean of 5 years after height change was assessed (i.e, after final height measurement). After adjustment for VFx, BMD and other potential covariates, height loss >5 cm was associated with a marked increased risk of hip fracture (HR 1.50, 95% CI 1.06, 2.12), non-spine fracture (HR 1.48; 95% CI 1.20, 1.83), and mortality (1.45; 95% CI 1.21, 1.73). Although primary analyses were a subset of 3,124 survivors healthy enough to return for a Year 15 height measurement, a sensitivity analysis in the entire cohort (n=9,677) using initial height in earlier adulthood (self-reported height at age 25 [−40 years] to measured height age >65 years [Year 0]) demonstrated consistent results. Height loss >5 cm (2”) in older women was associated with a nearly 50% increased risk of hip fracture, non-spine fracture, and mortality—independent of incident VFx and BMD. PMID:22072593

  7. The epigenetic clock and telomere length are independently associated with chronological age and mortality

    PubMed Central

    Marioni, Riccardo E; Harris, Sarah E; Shah, Sonia; McRae, Allan F; von Zglinicki, Thomas; Martin-Ruiz, Carmen; Wray, Naomi R; Visscher, Peter M; Deary, Ian J

    2016-01-01

    Background: Telomere length and DNA methylation have been proposed as biological clock measures that track chronological age. Whether they change in tandem, or contribute independently to the prediction of chronological age, is not known. Methods: We address these points using data from two Scottish cohorts: the Lothian Birth Cohorts of 1921 (LBC1921) and 1936 (LBC1936). Telomere length and epigenetic clock estimates from DNA methylation were measured in 920 LBC1936 participants (ages 70, 73 and 76 years) and in 414 LBC1921 participants (ages 79, 87 and 90 years). Results: The epigenetic clock changed over time at roughly the same rate as chronological age in both cohorts. Telomere length decreased at 48–67 base pairs per year on average. Weak, non-significant correlations were found between epigenetic clock estimates and telomere length. Telomere length explained 6.6% of the variance in age in LBC1921, the epigenetic clock explained 10.0%, and combined they explained 17.3% (all P < 1 × 10−7). Corresponding figures for the LBC1936 cohort were 14.3%, 11.7% and 19.5% (all P < 1 × 10−12). In a combined cohorts analysis, the respective estimates were 2.8%, 28.5% and 29.5%. Also in a combined cohorts analysis, a one standard deviation increase in baseline epigenetic age was linked to a 22% increased mortality risk (P = 2.6 × 10−4) whereas, in the same model, a one standard deviation increase in baseline telomere length was independently linked to an 11% decreased mortality risk (P = 0.06). Conclusions: These results suggest that telomere length and epigenetic clock estimates are independent predictors of chronological age and mortality risk. PMID:27075770

  8. Vision impairment predicts five-year mortality.

    PubMed Central

    Taylor, H R; McCarty, C A; Nanjan, M B

    2000-01-01

    PURPOSE: To describe predictors of mortality in the 5-year follow-up of the Melbourne Visual Impairment Project (VIP) cohort. METHODS: The Melbourne VIP was a population-based study of the distribution and determinants of age-related eye disease in a cluster random sample of Melbourne residents aged 40 years and older. Baseline examinations were conducted between 1992 and 1994. In 1997, 5-year follow-up examinations of the original cohort commenced. Causes of death were obtained from the National Death Index for all reported deaths. RESULTS: Of the original 3,271 participants, 231 (7.1%) were reported to have died in the intervening 5 years. Of the remaining 3,040 participants eligible to return for follow-up examinations, 2,594 (85% of eligible) did participate, 51 (2%) had moved interstate or overseas, 83 (3%) could not be traced, and 312 (10%) refused to participate. Best corrected visual acuity < 6/12 and cortical cataract were associated with a significantly increased risk of mortality, as were increasing age, male sex, increased duration of cigarette smoking, increased duration of hypertension, and arthritis. CONCLUSIONS: Even mild visual impairment increases the risk of death more than twofold. PMID:11190044

  9. Factors predicting mortality in invasive pneumococcal disease in adults in Alberta.

    PubMed

    Marrie, Thomas James; Tyrrell, Gregory J; Garg, Sipi; Vanderkooi, Otto G

    2011-05-01

    To define the factors associated with 30-day mortality among adult patients with invasive pneumococcal disease (IPD), we conducted a retrospective review of all cases of IPD in Alberta from 2000 to 2004. We hypothesized that multiple factors would be predictive of such mortality. We also examined the factors predictive of early (within 5 days of admission) mortality. We identified 1154 patients who met our inclusion criteria, 163 (14.1%) of whom died within 30 days. Over half (62.6%) of the deaths occurred within 5 days of admission. Ten factors were independently associated with increased 30-day mortality: 3 comorbidity factors-cancer within 5 years of diagnosis of IPD, diabetes, and cirrhosis; 4 complications-requirement for supplemental oxygen, mechanical ventilation, alteration of mental status, and cardiac arrest; 2 microorganism-related factors-infection with high- or infection with intermediate-mortality serotypes; and 1 treatment-related factor-treatment with a single antibiotic. Age 18-40 years and treatment with 2 antibiotics concurrently were associated with lower 30-day mortality. Comorbid illnesses were not contributory to early mortality (within 5 days of admission); instead, complications (alteration of mental status, requirement for supplemental oxygen, mechanical ventilation, and cardiac arrest) as well as infection with high-mortality serotypes and treatment with a single antibiotic were important. Age 18-40 years, infection with serotypes in the polysaccharide vaccine, and treatment with 2 or more than 2 antibiotics were associated with decreased early mortality. Early mortality accounted for 62.6% of the deaths. In conclusion, we found that mortality in IPD is multifactorial, the factors differ for 5- and 30-day mortality, and mortality is associated with host (age and complications), microorganism (pneumococcal serotypes), and therapeutic factors. Our data indicate that treatment with 2 or more antibiotics effective against Streptococcus

  10. Variability in Physical Activity Assessed with Accelerometer Is an Independent Predictor of Mortality in CHF Patients

    PubMed Central

    Melin, Michael; Hagerman, Inger; Gonon, Adrian; Gustafsson, Thomas; Rullman, Eric

    2016-01-01

    Aims Patients with heart failure often display a distinct pattern of walking characterized by short step-length and frequent short pauses. In the current study we sought to explore if qualitative aspects of movement have any additive value to established factors to predict all-cause mortality in patients with advanced heart failure. Methods and results 60 patients with advanced heart failure (NYHA III, peak VO2 <20 ml/kg and LVEF <35%) underwent symptom-limited CPX, echocardiography and routine chemistry. Physical activity was assessed using an accelerometer worn attached to the waist during waking hours for 7 consecutive days. The heart-failure survival score (HFSS) was calculated for each patient. All accelerometer-derived variables were analyzed with regard to all-cause mortality and added to a baseline model utilizing HFSS scores. HFSS score was significantly associated with the incidence of death (P<0.001; c-index 0.71; CI, 0.67–0.73). The addition of peak skewness to the HFSS model significantly improved the predictive ability with an increase in c-index to 0.74 (CI, 0.69–0.78), likelihood ratio P<0.02, establishing skewness as a predictor of increased event rates when accounting for baseline risk. Conclusion The feature skewness, a measure of asymmetry in the intensity level of periods of high physical activity, was identified to be predictive of all-cause mortality independent of the established prognostic model–HFSS and peak VO2. The findings from the present study emphasize the use of accelerometer analysis in clinical practice to make more accurate prognoses in addition to extract features of physical activity relevant to functional classification. PMID:27054323

  11. Multiple biomarkers for mortality prediction in peripheral arterial disease.

    PubMed

    Amrock, Stephen M; Weitzman, Michael

    2016-04-01

    Few studies have assessed which biomarkers influence mortality risk among those with peripheral arterial disease (PAD). We analyzed data from 556 individuals identified to have PAD (i.e. ankle-brachial index ⩽0.9) with available measurements of C-reactive protein, the neutrophil-to-lymphocyte ratio (NLR), homocysteine, and the urinary albumin-to-creatinine ratio (UACR) in the 1999-2004 National Health and Nutrition Examination Survey. We investigated whether a combination of these biomarkers improved the prediction of all-cause and cardiovascular mortality beyond conventional risk factors. During follow-up (median, 8.1 years), 277 of 556 participants died; 63 deaths were attributed to cardiovascular disease. After adjusting for conventional risk factors, Cox proportional-hazards models showed the following to be most strongly associated with all-cause mortality (each is followed by the adjusted hazard ratio [HR] per 1 standard deviation increment in the log values): homocysteine (1.31), UACR (1.21), and NLR (1.20). UACR alone significantly predicted cardiovascular mortality (1.53). Persons in the highest quintile of multimarker scores derived from regression coefficients of significant biomarkers had elevated risks of all-cause mortality (adjusted HR, 2.45; 95% CI, 1.66-3.62; p for trend, <0.001) and cardiovascular mortality (adjusted HR, 2.20; 95% CI, 1.02-4.71; p for trend, 0.053) compared to those in the lowest two quintiles. The addition of continuous multimarker scores to conventional risk factors improved risk stratification of all-cause mortality (integrated discrimination improvement [IDI], 0.162; p<0.00001) and cardiovascular mortality (IDI, 0.058; p<0.00001). In conclusion, the addition of a continuous multimarker score to conventional risk factors improved mortality prediction among patients with PAD. PMID:26762418

  12. Using Highly Detailed Administrative Data to Predict Pneumonia Mortality

    PubMed Central

    Rothberg, Michael B.; Pekow, Penelope S.; Priya, Aruna; Zilberberg, Marya D.; Belforti, Raquel; Skiest, Daniel; Lagu, Tara; Higgins, Thomas L.; Lindenauer, Peter K.

    2014-01-01

    Background Mortality prediction models generally require clinical data or are derived from information coded at discharge, limiting adjustment for presenting severity of illness in observational studies using administrative data. Objectives To develop and validate a mortality prediction model using administrative data available in the first 2 hospital days. Research Design After dividing the dataset into derivation and validation sets, we created a hierarchical generalized linear mortality model that included patient demographics, comorbidities, medications, therapies, and diagnostic tests administered in the first 2 hospital days. We then applied the model to the validation set. Subjects Patients aged ≥18 years admitted with pneumonia between July 2007 and June 2010 to 347 hospitals in Premier, Inc.’s Perspective database. Measures In hospital mortality. Results The derivation cohort included 200,870 patients and the validation cohort had 50,037. Mortality was 7.2%. In the multivariable model, 3 demographic factors, 25 comorbidities, 41 medications, 7 diagnostic tests, and 9 treatments were associated with mortality. Factors that were most strongly associated with mortality included receipt of vasopressors, non-invasive ventilation, and bicarbonate. The model had a c-statistic of 0.85 in both cohorts. In the validation cohort, deciles of predicted risk ranged from 0.3% to 34.3% with observed risk over the same deciles from 0.1% to 33.7%. Conclusions A mortality model based on detailed administrative data available in the first 2 hospital days had good discrimination and calibration. The model compares favorably to clinically based prediction models and may be useful in observational studies when clinical data are not available. PMID:24498090

  13. Disgust sensitivity predicts defensive responding to mortality salience.

    PubMed

    Kelley, Nicholas J; Crowell, Adrienne L; Tang, David; Harmon-Jones, Eddie; Schmeichel, Brandon J

    2015-10-01

    Disgust protects the physical self. The present authors suggest that disgust also contributes to the protection of the psychological self by fostering stronger defensive reactions to existential concerns. To test this idea, 3 studies examined the link between disgust sensitivity and defensive responses to mortality salience or "terror management" processes (Greenberg, Solomon, & Pyszczynski, 1997). Each study included an individual difference measure of disgust sensitivity, a manipulation of mortality salience, and a dependent measure of defensive responding. In Study 1, disgust sensitivity predicted increases in worldview defense in the mortality salience condition but not in the control condition. In Study 2, disgust sensitivity predicted increases in optimistic perceptions of the future in the mortality salience condition but not in the control condition. In Study 3, disgust sensitivity predicted reductions in delay discounting for those in the mortality salience condition such that those higher in disgust sensitivity discounted the future less. This pattern did not occur in the control condition. These findings highlight disgust sensitivity as a key to understanding reactions to mortality salience, and they support the view that disgust-related responses protect against both physical (e.g., noxious substances) and psychological threats. PMID:25775230

  14. Multi-scale predictions of coniferous forest mortality in the northern hemisphere

    NASA Astrophysics Data System (ADS)

    McDowell, N. G.

    2015-12-01

    Global temperature rise and extremes accompanying drought threaten forests and their associated climatic feedbacks. Our incomplete understanding of the fundamental physiological thresholds of vegetation mortality during drought limits our ability to accurately simulate future vegetation distributions and associated climate feedbacks. Here we integrate experimental evidence with models to show potential widespread loss of needleleaf evergreen trees (NET; ~ conifers) within the Southwest USA by 2100; with rising temperature being the primary cause of mortality. Experimentally, dominant Southwest USA NET species died when they fell below predawn water potential (Ypd) thresholds (April-August mean) beyond which photosynthesis, stomatal and hydraulic conductance, and carbohydrate availability approached zero. Empirical and mechanistic models accurately predicted NET Ypd, and 91% of predictions (10/11) exceeded mortality thresholds within the 21st century due to temperature rise. Completely independent global models predicted >50% loss of northern hemisphere NET by 2100, consistent with the findings for Southwest USA. The global models disagreed with the ecosystem process models in regards to future mortality in Southwest USA, however, highlighting the potential underestimates of future NET mortality as simulated by the global models and signifying the importance of improving regional predictions. Taken together, these results from the validated regional predictions and the global simulations predict global-scale conifer loss in coming decades under projected global warming.

  15. Proteomics Improves the Prediction of Burns Mortality: Results from Regression Spline Modeling

    PubMed Central

    Finnerty, Celeste C.; Ju, Hyunsu; Spratt, Heidi; Victor, Sundar; Jeschke, Marc G.; Hegde, Sachin; Bhavnani, Suresh K.; Luxon, Bruce A.; Brasier, Allan R.; Herndon, David N.

    2012-01-01

    Prediction of mortality in severely burned patients remains unreliable. Although clinical covariates and plasma protein abundance have been used with varying degrees of success, the triad of burn size, inhalation injury, and age remains the most reliable predictor. We investigated the effect of combining proteomics variables with these three clinical covariates on prediction of mortality in burned children. Serum samples were collected from 330 burned children (burns covering >25% of the total body surface area) between admission and the time of the first operation for clinical chemistry analyses and proteomic assays of cytokines. Principal component analysis revealed that serum protein abundance and the clinical covariates each provided independent information regarding patient survival. To determine whether combining proteomics with clinical variables improves prediction of patient mortality, we used multivariate adaptive regression splines, since the relationships between analytes and mortality were not linear. Combining these factors increased overall outcome prediction accuracy from 52% to 81% and area under the receiver operating characteristic curve from 0.82 to 0.95. Thus, the predictive accuracy of burns mortality is substantially improved by combining protein abundance information with clinical covariates in a multivariate adaptive regression splines classifier, a model currently being validated in a prospective study. PMID:22686201

  16. Multi-scale predictions of massive conifer mortality due to chronic temperature rise

    USGS Publications Warehouse

    McDowell, Nathan G.; Williams, A.P.; Xu, C.; Pockman, W. T.; Dickman, L. T.; Sevanto, S.; Pangle, R.; Limousin, J.; Plaut, J.J.; Mackay, D.S.; Ogee, J.; Domec, Jean-Christophe; Allen, Craig D.; Fisher, Rosie A.; Jiang, X.; Muss, J.D.; Breshears, D.D.; Rauscher, Sara A.; Koven, C.

    2015-01-01

    Global temperature rise and extremes accompanying drought threaten forests and their associated climatic feedbacks. Our ability to accurately simulate drought-induced forest impacts remains highly uncertain in part owing to our failure to integrate physiological measurements, regional-scale models, and dynamic global vegetation models (DGVMs). Here we show consistent predictions of widespread mortality of needleleaf evergreen trees (NET) within Southwest USA by 2100 using state-of-the-art models evaluated against empirical data sets. Experimentally, dominant Southwest USA NET species died when they fell below predawn water potential (Ψpd) thresholds (April–August mean) beyond which photosynthesis, hydraulic and stomatal conductance, and carbohydrate availability approached zero. The evaluated regional models accurately predicted NET Ψpd, and 91% of predictions (10 out of 11) exceeded mortality thresholds within the twenty-first century due to temperature rise. The independent DGVMs predicted ≥50% loss of Northern Hemisphere NET by 2100, consistent with the NET findings for Southwest USA. Notably, the global models underestimated future mortality within Southwest USA, highlighting that predictions of future mortality within global models may be underestimates. Taken together, the validated regional predictions and the global simulations predict widespread conifer loss in coming decades under projected global warming.

  17. Multi-scale predictions of massive conifer mortality due to chronic temperature rise

    NASA Astrophysics Data System (ADS)

    McDowell, N. G.; Williams, A. P.; Xu, C.; Pockman, W. T.; Dickman, L. T.; Sevanto, S.; Pangle, R.; Limousin, J.; Plaut, J.; Mackay, D. S.; Ogee, J.; Domec, J. C.; Allen, C. D.; Fisher, R. A.; Jiang, X.; Muss, J. D.; Breshears, D. D.; Rauscher, S. A.; Koven, C.

    2016-03-01

    Global temperature rise and extremes accompanying drought threaten forests and their associated climatic feedbacks. Our ability to accurately simulate drought-induced forest impacts remains highly uncertain in part owing to our failure to integrate physiological measurements, regional-scale models, and dynamic global vegetation models (DGVMs). Here we show consistent predictions of widespread mortality of needleleaf evergreen trees (NET) within Southwest USA by 2100 using state-of-the-art models evaluated against empirical data sets. Experimentally, dominant Southwest USA NET species died when they fell below predawn water potential (Ψpd) thresholds (April-August mean) beyond which photosynthesis, hydraulic and stomatal conductance, and carbohydrate availability approached zero. The evaluated regional models accurately predicted NET Ψpd, and 91% of predictions (10 out of 11) exceeded mortality thresholds within the twenty-first century due to temperature rise. The independent DGVMs predicted >=50% loss of Northern Hemisphere NET by 2100, consistent with the NET findings for Southwest USA. Notably, the global models underestimated future mortality within Southwest USA, highlighting that predictions of future mortality within global models may be underestimates. Taken together, the validated regional predictions and the global simulations predict widespread conifer loss in coming decades under projected global warming.

  18. Frailty Predicts Wait-List Mortality in Liver Transplant Candidates

    PubMed Central

    Lai, Jennifer C.; Feng, Sandy; Terrault, Norah A.; Lizaola, Blanca; Hayssen, Hilary; Covinsky, Kenneth

    2014-01-01

    We aimed to determine whether frailty, a validated geriatric construct of increased vulnerability to physiologic stressors, predicts mortality in liver transplant (LT) candidates. Consecutive adult outpatients listed for LT with laboratory MELD≥12 at a single center (97% recruitment rate) underwent 4 frailty assessments: Fried Frailty, Short Physical Performance Battery (SPPB), Activities of Daily Living (ADL), and Instrumental ADL (IADL) scales. Competing risks models associated frailty with wait-list mortality (death/delisting for being too sick for LT). 294 listed LT patients with MELD≥12, median age 60y, and MELD 15 were followed for 12 months. By Fried Frailty score≥3, 17% were frail; 11/51 (22%) of the frail versus 25/243 (10%) of the not frail died/were delisted (p=0.03). Each 1-unit increase in the Fried Frailty score was associated with a 45% (95%CI, 4-202%) increased risk of wait-list mortality adjusted for MELD. Similarly, the adjusted risk of wait-list mortality associated with each 1-unit decrease (i.e., increasing frailty) in the SPPB (HR 1.19, 95%CI 1.07-1.32). Frailty is prevalent in LT candidates. It strongly predicts wait-list mortality, even after adjustment for liver disease severity demonstrating the applicability and importance of the frailty construct in this population. PMID:24935609

  19. Improved Comorbidity Adjustment for Predicting Mortality in Medicare Populations

    PubMed Central

    Schneeweiss, Sebastian; Wang, Philip S; Avorn, Jerry; Glynn, Robert J

    2003-01-01

    Objective To define and improve the performance of existing comorbidity scores in predicting mortality in Medicare enrollees. Data Sources Study participants were two Medicare populations who had complete drug coverage either through Medicaid or a statewide pharmacy assistance program: New Jersey Medicare enrollees (NNJ=235,881) and Pennsylvania Medicare enrollees (NPA=230,913). Study Design Frequently used comorbidity scores were computed for all subjects during the baseline year (January 1, 1994, to December 31, 1994, and one year later in Pennsylvania). The study outcome was one-year mortality during the following year. Performance of scores was measured with the c-statistic derived from multivariate logistic regression models. Empirical weights were derived in the New Jersey population and the performance of scores with new weights was validated in the Pennsylvania population. Principal Findings A score based on ICD-9-diagnoses (Romano) performed 60 percent better than one based on patterns of medication use (Chronic Disease Score, or CDS-1) (c=0.771 vs. c=0.703). The performance of the Romano score was further improved slightly by inclusion of the number of different prescription drugs used during the past year. Modeling the 17 conditions included in the Romano score as separate binary indicators increased its performance by 8 percent (c=0.781). We derived elderly-specific weights for these scores in the New Jersey sample, including negative weights for the use of some drugs, for example, lipid lowering drugs. Applying these weights, the performance of Romano and CDS-1 scores improved in an independent validation sample of Pennsylvania Medicare enrollees by 8.3 percent and 43 percent compared to the scores with the original weights. When we added an indicator of nursing home residency, age, and gender, the Romano score reached a performance of c=0.80. Conclusions We conclude that in epidemiologic studies of the elderly, a modified diagnosis-based score using

  20. Predicting discharge mortality after acute ischemic stroke using balanced data.

    PubMed

    Ho, King Chung; Speier, William; El-Saden, Suzie; Liebeskind, David S; Saver, Jeffery L; Bui, Alex A T; Arnold, Corey W

    2014-01-01

    Several models have been developed to predict stroke outcomes (e.g., stroke mortality, patient dependence, etc.) in recent decades. However, there is little discussion regarding the problem of between-class imbalance in stroke datasets, which leads to prediction bias and decreased performance. In this paper, we demonstrate the use of the Synthetic Minority Over-sampling Technique to overcome such problems. We also compare state of the art machine learning methods and construct a six-variable support vector machine (SVM) model to predict stroke mortality at discharge. Finally, we discuss how the identification of a reduced feature set allowed us to identify additional cases in our research database for validation testing. Our classifier achieved a c-statistic of 0.865 on the cross-validated dataset, demonstrating good classification performance using a reduced set of variables. PMID:25954451

  1. Predicting Mortality in Low-Income Country ICUs: The Rwanda Mortality Probability Model (R-MPM)

    PubMed Central

    Kiviri, Willy; Fowler, Robert A.; Mueller, Ariel; Novack, Victor; Banner-Goodspeed, Valerie M.; Weinkauf, Julia L.; Talmor, Daniel S.; Twagirumugabe, Theogene

    2016-01-01

    Introduction Intensive Care Unit (ICU) risk prediction models are used to compare outcomes for quality improvement initiatives, benchmarking, and research. While such models provide robust tools in high-income countries, an ICU risk prediction model has not been validated in a low-income country where ICU population characteristics are different from those in high-income countries, and where laboratory-based patient data are often unavailable. We sought to validate the Mortality Probability Admission Model, version III (MPM0-III) in two public ICUs in Rwanda and to develop a new Rwanda Mortality Probability Model (R-MPM) for use in low-income countries. Methods We prospectively collected data on all adult patients admitted to Rwanda’s two public ICUs between August 19, 2013 and October 6, 2014. We described demographic and presenting characteristics and outcomes. We assessed the discrimination and calibration of the MPM0-III model. Using stepwise selection, we developed a new logistic model for risk prediction, the R-MPM, and used bootstrapping techniques to test for optimism in the model. Results Among 427 consecutive adults, the median age was 34 (IQR 25–47) years and mortality was 48.7%. Mechanical ventilation was initiated for 85.3%, and 41.9% received vasopressors. The MPM0-III predicted mortality with area under the receiver operating characteristic curve of 0.72 and Hosmer-Lemeshow chi-square statistic p = 0.024. We developed a new model using five variables: age, suspected or confirmed infection within 24 hours of ICU admission, hypotension or shock as a reason for ICU admission, Glasgow Coma Scale score at ICU admission, and heart rate at ICU admission. Using these five variables, the R-MPM predicted outcomes with area under the ROC curve of 0.81 with 95% confidence interval of (0.77, 0.86), and Hosmer-Lemeshow chi-square statistic p = 0.154. Conclusions The MPM0-III has modest ability to predict mortality in a population of Rwandan ICU patients. The R

  2. Manic/hypomanic Symptom Burden Predicts Cardiovascular Mortality with Bipolar Disorder in the Collaborative Depression Study

    PubMed Central

    Fiedorowicz, Jess G.; Solomon, David A.; Endicott, Jean; Leon, Andrew C.; Li, Chunshan; Rice, John P.; Coryell, William H.

    2009-01-01

    Objectives Bipolar disorder conveys an increased risk of cardiovascular mortality. We compared the risk for cardiovascular mortality between bipolar I and bipolar II subtypes and determined correlates of cardiovascular mortality. Methods Participants with major affective disorders were recruited for the National Institute of Mental Health Collaborative Depression Study and followed prospectively for up to twenty-five years. A total of 435 participants met diagnostic criteria for bipolar I (N=288) or bipolar II (N=147) disorder based on Research Diagnostic Criteria at intake and measures of psychiatric symptoms during follow-up. Diagnostic subtypes were contrasted by cardiovascular mortality risk using Cox proportional-hazards regression. Affective symptom burden (the proportion of time with clinically significant manic/hypomanic or depressive symptoms) and treatment exposure were additionally included in the models. Results Thirty-three participants died from cardiovascular causes. Participants with bipolar I disorder had more than double the cardiovascular mortality risk of those with bipolar II disorder, after controlling for age and gender (HR=2.35, 95% C.I. 1.04–5.33, p=0.04). The observed difference in cardiovascular mortality between these subtypes was at least partially confounded by the burden of clinically significant manic/hypomanic symptoms which predicted cardiovascular mortality independent of diagnosis, treatment exposure, age, gender, and cardiovascular risk factors at intake. Selective serotonin uptake inhibitors appeared protective though were introduced late in follow-up. Depressive symptom burden was not related to cardiovascular mortality. Conclusions Participants with bipolar I disorder may face greater risk of cardiovascular mortality than those with bipolar II disorder. This difference in cardiovascular mortality risk may reflect manic/hypomanic symptom burden. PMID:19561163

  3. Predicting exposure-response associations of ambient particulate matter with mortality in 73 Chinese cities.

    PubMed

    Madaniyazi, Lina; Guo, Yuming; Chen, Renjie; Kan, Haidong; Tong, Shilu

    2016-01-01

    Estimating the burden of mortality associated with particulates requires knowledge of exposure-response associations. However, the evidence on exposure-response associations is limited in many cities, especially in developing countries. In this study, we predicted associations of particulates smaller than 10 μm in aerodynamic diameter (PM10) with mortality in 73 Chinese cities. The meta-regression model was used to test and quantify which city-specific characteristics contributed significantly to the heterogeneity of PM10-mortality associations for 16 Chinese cities. Then, those city-specific characteristics with statistically significant regression coefficients were treated as independent variables to build multivariate meta-regression models. The model with the best fitness was used to predict PM10-mortality associations in 73 Chinese cities in 2010. Mean temperature, PM10 concentration and green space per capita could best explain the heterogeneity in PM10-mortality associations. Based on city-specific characteristics, we were able to develop multivariate meta-regression models to predict associations between air pollutants and health outcomes reasonably well. PMID:26452312

  4. Postdischarge mortality in children with acute infectious diseases: derivation of postdischarge mortality prediction models

    PubMed Central

    Wiens, M O; Kumbakumba, E; Larson, C P; Ansermino, J M; Singer, J; Kissoon, N; Wong, H; Ndamira, A; Kabakyenga, J; Kiwanuka, J; Zhou, G

    2015-01-01

    Objectives To derive a model of paediatric postdischarge mortality following acute infectious illness. Design Prospective cohort study. Setting 2 hospitals in South-western Uganda. Participants 1307 children of 6 months to 5 years of age were admitted with a proven or suspected infection. 1242 children were discharged alive and followed up 6 months following discharge. The 6-month follow-up rate was 98.3%. Interventions None. Primary and secondary outcome measures The primary outcome was postdischarge mortality within 6 months following the initial hospital discharge. Results 64 children died during admission (5.0%) and 61 died within 6 months of discharge (4.9%). Of those who died following discharge, 31 (51%) occurred within the first 30 days. The final adjusted model for the prediction of postdischarge mortality included the variables mid-upper arm circumference (OR 0.95, 95% CI 0.94 to 0.97, per 1 mm increase), time since last hospitalisation (OR 0.76, 95% CI 0.61 to 0.93, for each increased period of no hospitalisation), oxygen saturation (OR 0.96, 95% CI 0.93 to 0·99, per 1% increase), abnormal Blantyre Coma Scale score (OR 2.39, 95% CI 1·18 to 4.83), and HIV-positive status (OR 2.98, 95% CI 1.36 to 6.53). This model produced a receiver operating characteristic curve with an area under the curve of 0.82. With sensitivity of 80%, our model had a specificity of 66%. Approximately 35% of children would be identified as high risk (11.1% mortality risk) and the remaining would be classified as low risk (1.4% mortality risk), in a similar cohort. Conclusions Mortality following discharge is a poorly recognised contributor to child mortality. Identification of at-risk children is critical in developing postdischarge interventions. A simple prediction tool that uses 5 easily collected variables can be used to identify children at high risk of death after discharge. Improved discharge planning and care could be provided for high-risk children. PMID

  5. Unified baseline and longitudinal mortality prediction in idiopathic pulmonary fibrosis.

    PubMed

    Ley, Brett; Bradford, Williamson Z; Weycker, Derek; Vittinghoff, Eric; du Bois, Roland M; Collard, Harold R

    2015-05-01

    The Gender-Age-Physiology (GAP) model is a validated, baseline-risk prediction model for mortality in idiopathic pulmonary fibrosis. Longitudinal variables have been shown to contribute to risk prediction in idiopathic pulmonary fibrosis and may improve the predictive performance of the baseline GAP model. Our aims were to further validate the GAP model and evaluate whether the addition of longitudinal variables improves its predictive performance. The study population was derived from a large clinical trials cohort of patients with idiopathic pulmonary fibrosis (n=1109). Model performance was determined by improvement in the C-statistic, net reclassification improvement, clinical net reclassification improvement, and a goodness-of-fit test. The GAP model had good discriminative performance with a C-statistic of 0.757 (95% CI 0.750-0.764). However, the original GAP model tended to overestimate risk in this cohort. A novel, easy to use model, consisting of the original GAP predictors plus history of respiratory hospitalisation and 24-week change in forced vital capacity (the longitudinal GAP model) improved model performance with a C-statistic of 0.785 (95% CI 0.780-0.790), net reclassification improvement of 8.5%, clinical net reclassification improvement of 25%, and a goodness-of-fit test of 0.929. The Longitudinal GAP model, along with the original GAP model, may unify baseline and longitudinal mortality risk prediction in idiopathic pulmonary fibrosis. PMID:25614172

  6. Prediction of the mortality dose-response relationship in man

    SciTech Connect

    Morris, M.D.; Jones, T.D.

    1987-01-01

    Based upon an extensive data base including 100 separate animal studies, an estimate of the mortality dose-response relationship due to continuous photon radiation is predicted for 70 kg man. The model used in this prediction exercise includes fixed terms accounting for effects of body weight and dose rate, and random terms accounting for inter- and intra-species variation and experimental error. Point predictions and 95% prediction intervals are given for the LD/sub 05/, LD/sub 10/, LD/sub 25/, LD/sub 50/, LD/sub 75/, LD/sub 90/, and LD/sub 95/, for dose rates ranging from 1 to 50 R/min. 6 refs., 5 tabs.

  7. Early coagulopathy is an independent predictor of mortality in children after severe trauma.

    PubMed

    Whittaker, Brent; Christiaans, Sarah C; Altice, Jessica L; Chen, Mike K; Bartolucci, Alfred A; Morgan, Charity J; Kerby, Jeffrey D; Pittet, Jean-François

    2013-05-01

    To determine whether early coagulopathy affects the mortality associated with severe civilian pediatric trauma, trauma patients younger than 18 years admitted to a pediatric intensive care unit from 2001 to 2010 were evaluated. Patients with burns, primary asphyxiation, preexisting bleeding diathesis, lack of coagulation studies, or transferred from other hospitals more than 24 h after injury were excluded. Age, sex, race, mechanism of injury, initial systolic blood pressure, Glasgow Coma Scale score, Injury Severity Score, prothrombin time, partial thromboplastin time, platelet count, and international normalized ratio were recorded. An arterial or venous blood gas was performed, if clinically indicated. Coagulopathy was defined as an international normalized ratio greater than 1.2. The primary outcome was in-hospital mortality. Secondary outcomes were lengths of intensive care unit and hospital stay. Eight hundred three patients were included in the study. Overall mortality was 13.4%. The incidence of age-adjusted hypotension was 5.4%. Early coagulopathy was observed in 37.9% of patients. High Injury Severity Score and/or hypotension were associated with early coagulopathy and higher mortality. Early coagulopathy was associated with a modest increase in mortality in pediatric trauma patients without traumatic brain injury (TBI). In contrast, the combination of TBI and early coagulopathy was associated with a fourfold increase in mortality in this patient population. Early coagulopathy is an independent predictor of mortality in civilian pediatric patients with severe trauma. The increase in mortality was particularly significant in patients with TBI either isolated or combined with other injuries, suggesting that a rapid correction of this coagulopathy could substantially decrease the mortality after TBI in pediatric trauma patients. PMID:23591559

  8. Gut Epithelial Barrier Dysfunction and Innate Immune Activation Predict Mortality in Treated HIV Infection

    PubMed Central

    Hunt, Peter W.; Sinclair, Elizabeth; Rodriguez, Benigno; Shive, Carey; Clagett, Brian; Funderburg, Nicholas; Robinson, Janet; Huang, Yong; Epling, Lorrie; Martin, Jeffrey N.; Deeks, Steven G.; Meinert, Curtis L.; Van Natta, Mark L.; Jabs, Douglas A.; Lederman, Michael M.

    2014-01-01

    Background. While inflammation predicts mortality in treated human immunodeficiency virus (HIV) infection, the prognostic significance of gut barrier dysfunction and phenotypic T-cell markers remains unclear. Methods. We assessed immunologic predictors of mortality in a case-control study within the Longitudinal Study of the Ocular Complications of AIDS (LSOCA), using conditional logistic regression. Sixty-four case patients who died within 12 months of treatment-mediated viral suppression were each matched to 2 control individuals (total number of controls, 128) by duration of antiretroviral therapy–mediated viral suppression, nadir CD4+ T-cell count, age, sex, and prior cytomegalovirus (CMV) retinitis. A similar secondary analysis was conducted in the SCOPE cohort, which had participants with less advanced immunodeficiency. Results. Plasma gut epithelial barrier integrity markers (intestinal fatty acid binding protein and zonulin-1 levels), soluble CD14 level, kynurenine/tryptophan ratio, soluble tumor necrosis factor receptor 1 level, high-sensitivity C-reactive protein level, and D-dimer level all strongly predicted mortality, even after adjustment for proximal CD4+ T-cell count (all P ≤ .001). A higher percentage of CD38+HLA-DR+ cells in the CD8+ T-cell population was a predictor of mortality before (P = .031) but not after (P = .10) adjustment for proximal CD4+ T-cell count. Frequencies of senescent (defined as CD28−CD57+ cells), exhausted (defined as PD1+ cells), naive, and CMV-specific T cells did not predict mortality. Conclusions. Gut epithelial barrier dysfunction, innate immune activation, inflammation, and coagulation—but not T-cell activation, senescence, and exhaustion—independently predict mortality in individuals with treated HIV infection with a history of AIDS and are viable targets for interventions. PMID:24755434

  9. Increased dietary sodium is independently associated with greater mortality among prevalent hemodialysis patients

    PubMed Central

    Mc Causland, Finnian R.; Waikar, Sushrut S.; Brunelli, Steven M.

    2013-01-01

    Dietary sodium is thought to play a major role in the pathogenesis of hypertension, hypervolemia and mortality in hemodialysis patients. Thus, restriction is almost universally recommended. However, the evidence on which these assumptions are based is limited. We undertook a post-hoc analysis of the Hemodialysis Study with available dietary, clinical and laboratory information. Linear regression models were fit to estimate associations of dietary sodium with ultrafiltration requirement, blood pressure and nutritional indices. Cox regression models were fit to estimate the association of dietary sodium intake, sodium:calorie intake, sodium:potassium intake and prescribed sodium restriction with all-cause mortality. Complete data were available in 1770 subjects, of whom 44% were male, 63% were black and 44% were diabetic. Mean age was 58 (±14) years; median dietary sodium intake was 2080 (IQR: 1490-2850) mg/day. After case-mix adjustment, higher reported dietary sodium was associated with greater ultrafiltration requirement, caloric and protein intake; sodium:calorie intake ratio associated with greater UF requirement; sodium:potassium ratio associated with higher serum sodium. None were associated with pre-dialysis systolic blood pressure. Higher baseline reported dietary sodium, sodium:calorie ratio and sodium:potassium ratio were independently associated with greater all-cause mortality. No associations between prescribed dietary sodium restriction and mortality were observed. Higher reported dietary sodium intake is independently associated with greater mortality among prevalent hemodialysis subjects. Randomized trials are warranted to determine whether dietary sodium restriction improves survival. PMID:22418981

  10. Usefulness of Psoas Muscle Area to Predict Mortality in Patients Undergoing Transcatheter Aortic Valve Replacement.

    PubMed

    Saji, Mike; Lim, D Scott; Ragosta, Michael; LaPar, Damien J; Downs, Emily; Ghanta, Ravi K; Kern, John A; Dent, John M; Ailawadi, Gorav

    2016-07-15

    Frailty has become high-priority theme in cardiovascular diseases because of aging and increasingly complex nature of patients. Low muscle mass is characteristic of frailty, in which invasive interventions are avoided if possible because of decreased physiological reserve. This study aimed to determine if the psoas muscle area (PMA) could predict mortality and to investigate its utility in patients who underwent transcatheter aortic valve replacement (TAVR). We retrospectively reviewed 232 consecutive patients who underwent TAVR. Cross-sectional areas of the psoas muscles at the level of fourth lumbar vertebra were measured by computed tomography and normalized to body surface area. Patients were divided into tertiles according to the normalized PMA for each gender (men: tertile 1, 1,708 to 1,178 mm(2)/m(2); tertile 2, 1,176 to 1,011 mm(2)/m(2); and tertile 3, 1,009 to 587 mm(2)/m(2); women: tertile 1, 1,436 to 962 mm(2)/m(2); tertile 2, 952 to 807 mm(2)/m(2); and tertile 3, 806 to 527 mm(2)/m(2)). Smaller normalized PMA was independently correlated with women and higher New York Heart Association classification. After adjustment for multiple confounding factors, the normalized PMA tertile was independently associated with mortality at 6 months (adjusted hazard ratio 1.53, 95% confidence interval 1.06 to 2.21). Kaplan-Meier analysis showed that tertile 3 had higher mortality rates than tertile 1 at 6 months (14% and 31%, respectively, p = 0.029). Receiver-operating characteristic analysis showed that normalized PMA provided the increase of C-statistics for predicting mortality for a clinical model and gait speed. In conclusion, PMA is an independent predictor of mortality after TAVR and can complement a clinical model and gait speed. PMID:27236254

  11. High-Sensitivity C-Reactive Protein Predicts Mortality and Technique Failure in Peritoneal Dialysis Patients

    PubMed Central

    Liu, Shou-Hsuan; Li, Yi-Jung; Wu, Hsin-Hsu; Lee, Cheng-Chia; Lin, Chan-Yu; Weng, Cheng-Hao; Chen, Yung-Chang; Chang, Ming-Yang; Hsu, Hsiang-Hao; Fang, Ji-Tseng; Hung, Cheng-Chieh; Yang, Chih-Wei; Tian, Ya-Chung

    2014-01-01

    Introduction An elevated level of serum C-reactive protein (CRP) is widely considered an indicator of an underlying inflammatory disease and a long-term prognostic predictor for dialysis patients. This cross-sectional cohort study was designed to assess the correlation between the level of high-sensitivity CRP (HS-CRP) and the outcome of peritoneal dialysis (PD) patients. Methods A total of 402 patients were stratified into 3 tertiles (lower, middle, upper) according to serum HS-CRP level and and followed up from October 2009 to September 2011. During follow-up, cardiovascular events, infection episodes, technique failure, and mortality rate were recorded. Results During the 24-month follow-up, 119 of 402 patients (29.6%) dropped out from PD, including 28 patients (7.0%) who died, 81 patients (20.1%) who switched to hemodialysis, and 10 patients (2.5%) who underwent kidney transplantation. The results of Kaplan–Meier analysis and log-rank test demonstrated a significant difference in the cumulative patient survival rate across the 3 tertiles (the lowest rate in upper tertile). On multivariate Cox regression analysis, only higher HS-CRP level, older age, the presence of diabetes mellitus (DM), lower serum albumin level, and the occurrence of cardiovascular events during follow-up were identified as independent predictors of mortality. Every 1 mg/L increase in HS-CRP level was independently predictive of a 1.4% increase in mortality. Multivariate Cox regression analysis also showed that higher HS-CRP level, the presence of DM, lower hemoglobin level, lower serum albumin level, higher dialysate/plasma creatinine ratio, and the occurrence of infective episodes and cardiovascular events during follow-up were independent predictors of technique failure. Conclusions The present study shows the importance of HS-CRP in the prediction of 2-year mortality and technique survival in PD patients independent of age, diabetes, hypoalbuminemia, and the occurrence of

  12. Life span decrements in fluid intelligence and processing speed predict mortality risk.

    PubMed

    Aichele, Stephen; Rabbitt, Patrick; Ghisletta, Paolo

    2015-09-01

    We examined life span changes in 5 domains of cognitive performance as predictive of mortality risk. Data came from the Manchester Longitudinal Study of Cognition, a 20-plus-year investigation of 6,203 individuals ages 42-97 years. Cognitive domains were general crystallized intelligence, general fluid intelligence, verbal memory, visuospatial memory, and processing speed. Life span decrements were evident across these domains, controlling for baseline performance at age 70 and adjusting for retest effects. Survival analyses stratified by sex and conducted independently by cognitive domain showed that lower baseline performance levels in all domains-and larger life span decrements in general fluid intelligence and processing speed-were predictive of increased mortality risk for both women and men. Critically, analyses of the combined predictive power of cognitive performance variables showed that baseline levels of processing speed (in women) and general fluid intelligence (in men), and decrements in processing speed (in women and in men) and general fluid intelligence (in women), accounted for most of the explained variation in mortality risk. In light of recent evidence from brain-imaging studies, we speculate that cognitive abilities closely linked to cerebral white matter integrity (such as processing speed and general fluid intelligence) may represent particularly sensitive markers of mortality risk. In addition, we presume that greater complexity in cognition-survival associations observed in women (in analyses incorporating all cognitive predictors) may be a consequence of longer and more variable cognitive declines in women relative to men. PMID:26098167

  13. Elevated neutrophil to lymphocyte ratio predicts mortality in medical inpatients with multiple chronic conditions.

    PubMed

    Isaac, Vivian; Wu, Chia-Yi; Huang, Chun-Ta; Baune, Bernhard T; Tseng, Chia-Lin; McLachlan, Craig S

    2016-06-01

    Neutrophil to lymphocyte ratio (NLR) is an easy measurable laboratory marker used to evaluate systemic inflammation. Elevated NLR is associated with poor survival and increased morbidity in cancer and cardiovascular disease. However, the usefulness of NLR to predict morbidity and mortality in a hospital setting for patients with multiple chronic conditions has not been previously examined. In this study, we investigate the association between NLR and mortality in multimorbid medical inpatients. Two hundred thirty medical in-patients with chronic conditions were selected from a single academic medical center in Taiwan. Retrospective NLRs were calculated from routine full blood counts previously obtained during the initial hospital admission and at the time of discharge. Self-rated health (using a single-item question), medical disorders, depressive symptoms, and medical service utilization over a 1-year period were included in the analyses. Mortality outcomes were ascertained by reviewing electronic medical records and follow-up. The mortality rate at 2-year follow-up was 23%. Depression (odds ratio [OR] 1.9 [95% CI 1.0-3.7]), poor self-rated health (OR 2.1 [95% CI 1.1-3.9]), being hospitalized 2 or more times in the previous year (OR 2.3 [95% CI 1.2-4.6]), metastatic cancer (OR 4.7 [95% CI 2.3-9.7]), and chronic liver disease (OR 4.3 [95% CI 1.5-12.1]) were associated with 2-year mortality. The median (interquartile range) NLR at admission and discharge were 4.47 (2.4-8.7) and 3.65 (2.1-6.5), respectively. Two-year mortality rates were higher in patients with an elevated NLR at admission (NLR <3 = 15.5%, NLR >3 = 27.6%) and discharge (NLR < 3 = 14.7%, NLR >3 = 29.1%). Multivariate logistic regression demonstrated that an elevated NLR >3.0 at admission (OR 2.3 [95% CI 1.0-5.2]) and discharge (OR 2.3 [95% CI 1.1-5.0]) were associated with mortality independent of baseline age, sex, education, metastatic cancer, liver disease, depression, and previous

  14. Using growth velocity to predict child mortality12

    PubMed Central

    Schwinger, Catherine; Van den Broeck, Jan

    2016-01-01

    Background: Growth assessment based on the WHO child growth velocity standards can potentially be used to predict adverse health outcomes. Nevertheless, there are very few studies on growth velocity to predict mortality. Objectives: We aimed to determine the ability of various growth velocity measures to predict child death within 3 mo and to compare it with those of attained growth measures. Design: Data from 5657 children <5 y old who were enrolled in a cohort study in the Democratic Republic of Congo were used. Children were measured up to 6 times in 3-mo intervals, and 246 (4.3%) children died during the study period. Generalized estimating equation (GEE) models informed the mortality risk within 3 mo for weight and length velocity z scores and 3-mo changes in midupper arm circumference (MUAC). We used receiver operating characteristic (ROC) curves to present balance in sensitivity and specificity to predict child death. Results: GEE models showed that children had an exponential increase in the risk of dying with decreasing growth velocity in all 4 indexes (1.2- to 2.4-fold for every unit decrease). A length and weight velocity z score of <−3 was associated with an 11.8- and a 7.9-fold increase, respectively, in the RR of death in the subsequent 3-mo period (95% CIs: 3.9, 35.5, and 3.9, 16.2, respectively). Weight and length velocity z scores had better predictive abilities [area under the ROC curves (AUCs) of 0.67 and 0.69] than did weight-for-age (AUC: 0.57) and length-for-age (AUC: 0.52) z scores. Among wasted children (weight-for-height z score <−2), the AUC of weight velocity z scores was 0.87. Absolute MUAC performed best among the attained indexes (AUC: 0.63), but longitudinal assessment of MUAC-based indexes did not increase the predictive value. Conclusion: Although repeated growth measures are slightly more complex to implement, their superiority in mortality-predictive abilities suggests that these could be used more for identifying children at

  15. Interhospital transfer: an independent risk factor for mortality in the surgical intensive care unit.

    PubMed

    Arthur, Katherine R; Kelz, Rachel R; Mills, Angela M; Reinke, Caroline E; Robertson, Mathew P; Sims, Carrie A; Pascual, Jose L; Reilly, Patrick M; Holena, Daniel N

    2013-09-01

    Interhospital transfer (IHT) is associated with mortality in medical and mixed intensive care units (ICUs), but few studies have examined this relationship in a surgical ICU (SICU) setting. We hypothesized that IHT is associated with increased mortality in SICU patients relative to ICU patients admitted within the hospital. We reviewed SICU and transfer center databases from a tertiary academic center over a 2-year period. Inclusion criteria included age 18 years or older and SICU admission 24 hours or greater. Demographic data, admission service, and Acute Physiology and Chronic Health Evaluation (APACHE) II scores were captured. The primary end point was ICU mortality. Univariate logistic regression was used to test the association between variables and mortality. Factors found to be associated with mortality at P < 0.1 were entered into a multivariable model. Of 4542 admissions, 416 arrived by IHT. Compared with the non-IHT group, the IHT group was older (age 58.3 years [interquartile range, 47.8 to 70.6] vs. 57.8 years [interquartile range, 44.1 to 68.8] years, P = 0.036), sicker (APACHE II score 16.5 [interquartile range, 12 to 23] vs. 14 [interquartile range, 10 to 20], P < 0.001), and more likely to be white (82% [n = 341] vs. 69% [n = 2865], P < 0.001). Mortality rates in IHT patients were highest on the emergency surgery (18%), transplant surgery (16%), and gastrointestinal surgery (8%) services. After adjusting for age and APACHE II score, IHT remained a risk factor for ICU mortality (odds ratio, 1.60; 95% confidence interval, 1.04 to 2.45; P = 0.032) in SICU patients. Interhospital transfer is an independent risk factor for mortality in the SICU population; this risk is unevenly distributed through service lines. Further efforts to determine the cause of this association are warranted. PMID:24069990

  16. Sagittal Abdominal Diameter Is an Independent Predictor of All-Cause and Cardiovascular Mortality in Incident Peritoneal Dialysis Patients

    PubMed Central

    Lee, Mi Jung; Shin, Dong Ho; Kim, Seung Jun; Yoo, Dong Eun; Ko, Kwang Il; Koo, Hyang Mo; Kim, Chan Ho; Doh, Fa Mee; Oh, Hyung Jung; Park, Jung Tak; Han, Seung Hyeok; Yoo, Tae-Hyun; Choi, Kyu Hun; Kang, Shin-Wook

    2013-01-01

    Backgrounds and Aims Visceral fat has a crucial role in the development and progression of cardiovascular disease, the major cause of death in end-stage renal disease (ESRD). Although sagittal abdominal diameter (SAD), as an index of visceral fat, significantly correlated with mortality in the general population, the impact of SAD on clinical outcomes has never been explored in ESRD patients. Therefore, we sought to elucidate the prognostic value of SAD in incident peritoneal dialysis (PD) patients. Methods We prospectively determined SAD by lateral abdominal X-ray at PD initiation, and evaluated the association of SAD with all-cause and cardiovascular mortality in 418 incident PD patients. Results The mean SAD was 24.5±4.3 cm, and during a mean follow-up of 39.4 months, 97 patients (23.2%) died, and 49.4% of them died due to cardiovascular disease. SAD was a significant independent predictor of all-cause [3rd versus 1st tertile, HR (hazard ratio): 3.333, 95% CI (confidence interval): 1.514–7.388, P = 0.01; per 1 cm increase, HR: 1.071, 95% CI: 1.005–1.141, P = 0.03] and cardiovascular mortality (3rd versus 1st tertile, HR: 8.021, 95% CI: 1.994–32.273, P = 0.01; per 1 cm increase, HR: 1.106, 95% CI: 1.007–1.214, P = 0.03). Multivariate fractional polynomial analysis also showed that all-cause and cardiovascular mortality risk increased steadily with higher SAD values. In addition, SAD provided higher predictive value for all-cause (AUC: 0.691 vs. 0.547, P<0.001) and cardiovascular mortality (AUC: 0.644 vs. 0.483, P<0.001) than body mass index (BMI). Subgroup analysis revealed higher SAD (≥24.2 cm) was significantly associated with all-cause mortality in men, women, younger patients (<65 years), and patients with lower BMI (<22.3 kg/m2). Conclusions SAD determined by lateral abdominal X-ray at PD initiation was a significant independent predictor of all-cause and cardiovascular mortality in incident PD patients. Estimating visceral fat by

  17. Serum Gamma-Glutamyltransferase Levels Predict Mortality in Patients With Peritoneal Dialysis

    PubMed Central

    Park, Woo-Yeong; Kim, Su-Hyun; Kim, Young Ok; Jin, Dong Chan; Song, Ho Chul; Choi, Euy Jin; Kim, Yong Lim; Kim, Yon Su; Kang, Shin Wook; Kim, Nam Ho; Yang, Chul Woo; Kim, Yong Kyun

    2015-01-01

    Abstract Serum gamma-glutamyltransferase (GGT) level has been considered marker of oxidative stress as well as liver function. Serum GGT level has been reported to be associated with the mortality in hemodialysis patients. However, it is not well established whether serum GGT level is associated with all-cause mortality in peritoneal dialysis (PD) patients. The aim of this study was to determine the association between serum GGT levels and all-cause mortality in PD patients. PD patients were included from the Clinical Research Center registry for end-stage renal disease cohort, a multicenter prospective observational cohort study in Korea. Patients were categorized into 3 groups by tertile of serum GGT levels as follows: tertile 1, GGT < 16 IU/L; tertile 2, GGT = 16 to 27 IU/L; and tertile 3, GGT > 27 IU/L. Primary outcome was all-cause mortality. A total of 820 PD patients were included. The median follow-up period was 34 months. Kaplan–Meier analysis showed that the all-cause mortality rate was significantly different according to tertiles of GGT (P = 0.001, log-rank). The multivariate Cox regression analysis showed that higher tertiles significantly associated with higher risk for all-cause mortality (tertile 2: hazard ratio [HR] 2.08, 95% confidence interval [CI], 1.17–3.72, P = 0.013; tertile 3: HR 1.83, 95% CI, 1.04–3.22, P = 0.035) in using tertile 1 as the reference group after adjusting for clinical variables. Our study demonstrated that high serum GGT levels were an independent risk factor for all-cause mortality in PD patients. Our findings suggest that serum GGT levels might be a useful biomarker to predict all-cause mortality in PD patients. PMID:26252286

  18. Plasma Lactate Dehydrogenase Levels Predict Mortality in Acute Aortic Syndromes

    PubMed Central

    Morello, Fulvio; Ravetti, Anna; Nazerian, Peiman; Liedl, Giovanni; Veglio, Maria Grazia; Battista, Stefania; Vanni, Simone; Pivetta, Emanuele; Montrucchio, Giuseppe; Mengozzi, Giulio; Rinaldi, Mauro; Moiraghi, Corrado; Lupia, Enrico

    2016-01-01

    Abstract In acute aortic syndromes (AAS), organ malperfusion represents a key event impacting both on diagnosis and outcome. Increased levels of plasma lactate dehydrogenase (LDH), a biomarker of malperfusion, have been reported in AAS, but the performance of LDH for the diagnosis of AAS and the relation of LDH with outcome in AAS have not been evaluated so far. This was a bi-centric prospective diagnostic accuracy study and a cohort outcome study. From 2008 to 2014, patients from 2 Emergency Departments suspected of having AAS underwent LDH assay at presentation. A final diagnosis was obtained by aortic imaging. Patients diagnosed with AAS were followed-up for in-hospital mortality. One thousand five hundred seventy-eight consecutive patients were clinically eligible, and 999 patients were included in the study. The final diagnosis was AAS in 201 (20.1%) patients. Median LDH was 424 U/L (interquartile range [IQR] 367–557) in patients with AAS and 383 U/L (IQR 331–460) in patients with alternative diagnoses (P < 0.001). Using a cutoff of 450 U/L, the sensitivity of LDH for AAS was 44% (95% confidence interval [CI] 37–51) and the specificity was 73% (95% CI 69–76). Overall in-hospital mortality for AAS was 23.8%. Mortality was 32.6% in patients with LDH ≥ 450 U/L and 16.8% in patients with LDH < 450 U/L (P = 0.006). Following stratification according to LDH quartiles, in-hospital mortality was 12% in the first (lowest) quartile, 18.4% in the second quartile, 23.5% in the third quartile, and 38% in the fourth (highest) quartile (P = 0.01). LDH ≥ 450 U/L was further identified as an independent predictor of death in AAS both in univariate and in stepwise logistic regression analyses (odds ratio 2.28, 95% CI 1.11–4.66; P = 0.025), in addition to well-established risk markers such as advanced age and hypotension. Subgroup analysis showed excess mortality in association with LDH ≥ 450 U/L in elderly, hemodynamically stable

  19. Physical Stress Echocardiography: Prediction of Mortality and Cardiac Events in Patients with Exercise Test showing Ischemia

    PubMed Central

    de Araujo, Ana Carla Pereira; Santos, Bruno F. de Oliveira; Calasans, Flavia Ricci; Pinto, Ibraim M. Francisco; de Oliveira, Daniel Pio; Melo, Luiza Dantas; Andrade, Stephanie Macedo; Tavares, Irlaneide da Silva; Sousa, Antonio Carlos Sobral; Oliveira, Joselina Luzia Menezes

    2014-01-01

    Background Studies have demonstrated the diagnostic accuracy and prognostic value of physical stress echocardiography in coronary artery disease. However, the prediction of mortality and major cardiac events in patients with exercise test positive for myocardial ischemia is limited. Objective To evaluate the effectiveness of physical stress echocardiography in the prediction of mortality and major cardiac events in patients with exercise test positive for myocardial ischemia. Methods This is a retrospective cohort in which 866 consecutive patients with exercise test positive for myocardial ischemia, and who underwent physical stress echocardiography were studied. Patients were divided into two groups: with physical stress echocardiography negative (G1) or positive (G2) for myocardial ischemia. The endpoints analyzed were all‑cause mortality and major cardiac events, defined as cardiac death and non-fatal acute myocardial infarction. Results G2 comprised 205 patients (23.7%). During the mean 85.6 ± 15.0-month follow-up, there were 26 deaths, of which six were cardiac deaths, and 25 non-fatal myocardial infarction cases. The independent predictors of mortality were: age, diabetes mellitus, and positive physical stress echocardiography (hazard ratio: 2.69; 95% confidence interval: 1.20 – 6.01; p = 0.016). The independent predictors of major cardiac events were: age, previous coronary artery disease, positive physical stress echocardiography (hazard ratio: 2.75; 95% confidence interval: 1.15 – 6.53; p = 0.022) and absence of a 10% increase in ejection fraction. All-cause mortality and the incidence of major cardiac events were significantly higher in G2 (p < 0. 001 and p = 0.001, respectively). Conclusion Physical stress echocardiography provides additional prognostic information in patients with exercise test positive for myocardial ischemia. PMID:25352460

  20. Echocardiographic parameters of right ventricular function predict mortality in acute respiratory distress syndrome: a pilot study.

    PubMed

    Shah, Trushil G; Wadia, Subeer K; Kovach, Julie; Fogg, Louis; Tandon, Rajive

    2016-06-01

    Right ventricular (RV) dysfunction in acute respiratory distress syndrome (ARDS) contributes to increased mortality. Our aim is to identify reproducible transthoracic echocardiography (TTE) parameters of RV dysfunction that can be used to predict outcomes in ARDS. We performed a retrospective single-center cohort pilot study measuring tricuspid annular plane systolic excursion (TAPSE), Tei index, RV-fractional area change (RV-FAC), pulmonary artery systolic pressure (PASP), and septal shift, reevaluated by an independent blinded cardiologist (JK). Thirty-eight patients were included. Patients were divided on the basis of 30-day survival. Thirty-day mortality was 47%. Survivors were younger than nonsurvivors. Survivors had a higher pH, PaO2∶FiO2 ratio, and TAPSE. Acute Physiology and Chronic Health Evaluation II (APACHE II), Simplified Acute Physiology Score II (SAPS II), and Sequential Organ Failure Assessment (SOFA) scores were lower in survivors. TAPSE has the strongest association with increased 30-day mortality from date of TTE. Accordingly, TAPSE has a strong positive correlation with PaO2∶FiO2 ratios, and Tei index has a strong negative correlation with PaO2∶FiO2 ratios. Septal shift was associated with lower PaO2∶FiO2 ratios. Decrease in TAPSE, increase in Tei index, and septal shift were seen in the severe ARDS group. In multivariate logistic regression models, TAPSE maintained a significant association with mortality independent of age, pH, PaO2∶FiO2 ratios, positive end expiratory pressure, PCO2, serum bicarbonate, plateau pressures, driving pressures, APACHE II, SAPS II, and SOFA scores. In conclusion, TAPSE and other TTE parameters should be used as novel predictive indicators for RV dysfunction in ARDS. These parameters can be used as surrogate noninvasive RV hemodynamic measurements to be manipulated to improve mortality in patients with ARDS and contributory RV dysfunction. PMID:27252840

  1. Echocardiographic parameters of right ventricular function predict mortality in acute respiratory distress syndrome: a pilot study

    PubMed Central

    Wadia, Subeer K.; Kovach, Julie; Fogg, Louis; Tandon, Rajive

    2016-01-01

    Abstract Right ventricular (RV) dysfunction in acute respiratory distress syndrome (ARDS) contributes to increased mortality. Our aim is to identify reproducible transthoracic echocardiography (TTE) parameters of RV dysfunction that can be used to predict outcomes in ARDS. We performed a retrospective single-center cohort pilot study measuring tricuspid annular plane systolic excursion (TAPSE), Tei index, RV-fractional area change (RV-FAC), pulmonary artery systolic pressure (PASP), and septal shift, reevaluated by an independent blinded cardiologist (JK). Thirty-eight patients were included. Patients were divided on the basis of 30-day survival. Thirty-day mortality was 47%. Survivors were younger than nonsurvivors. Survivors had a higher pH, PaO2∶FiO2 ratio, and TAPSE. Acute Physiology and Chronic Health Evaluation II (APACHE II), Simplified Acute Physiology Score II (SAPS II), and Sequential Organ Failure Assessment (SOFA) scores were lower in survivors. TAPSE has the strongest association with increased 30-day mortality from date of TTE. Accordingly, TAPSE has a strong positive correlation with PaO2∶FiO2 ratios, and Tei index has a strong negative correlation with PaO2∶FiO2 ratios. Septal shift was associated with lower PaO2∶FiO2 ratios. Decrease in TAPSE, increase in Tei index, and septal shift were seen in the severe ARDS group. In multivariate logistic regression models, TAPSE maintained a significant association with mortality independent of age, pH, PaO2∶FiO2 ratios, positive end expiratory pressure, PCO2, serum bicarbonate, plateau pressures, driving pressures, APACHE II, SAPS II, and SOFA scores. In conclusion, TAPSE and other TTE parameters should be used as novel predictive indicators for RV dysfunction in ARDS. These parameters can be used as surrogate noninvasive RV hemodynamic measurements to be manipulated to improve mortality in patients with ARDS and contributory RV dysfunction. PMID:27252840

  2. Darcy's law predicts widespread forest mortality under climate warming

    NASA Astrophysics Data System (ADS)

    McDowell, Nathan G.; Allen, Craig D.

    2015-07-01

    Drought and heat-induced tree mortality is accelerating in many forest biomes as a consequence of a warming climate, resulting in a threat to global forests unlike any in recorded history. Forests store the majority of terrestrial carbon, thus their loss may have significant and sustained impacts on the global carbon cycle. We use a hydraulic corollary to Darcy’s law, a core principle of vascular plant physiology, to predict characteristics of plants that will survive and die during drought under warmer future climates. Plants that are tall with isohydric stomatal regulation, low hydraulic conductance, and high leaf area are most likely to die from future drought stress. Thus, tall trees of old-growth forests are at the greatest risk of loss, which has ominous implications for terrestrial carbon storage. This application of Darcy’s law indicates today’s forests generally should be replaced by shorter and more xeric plants, owing to future warmer droughts and associated wildfires and pest attacks. The Darcy’s corollary also provides a simple, robust framework for informing forest management interventions needed to promote the survival of current forests. Given the robustness of Darcy’s law for predictions of vascular plant function, we conclude with high certainty that today’s forests are going to be subject to continued increases in mortality rates that will result in substantial reorganization of their structure and carbon storage.

  3. To Operate or Not: Prediction of 3-Month Postoperative Mortality in Geriatric Cancer Patients

    PubMed Central

    Chou, Wen-Chi; Liu, Keng-Hao; Lu, Chang-Hsien; Hung, Yu-Shin; Chen, Miao-Fen; Cheng, Yu-Fan; Wang, Cheng-Hsu; Lin, Yung-Chang; Yeh, Ta-Sen

    2016-01-01

    Context: Appropriate selection of aging patient who fit for cancer surgery is an art-of-state. Objectives: This study aimed to identify predictive factors pertinent to 3-month postoperative mortality in geriatric cancer patients. Methods: A total of 8,425 patients over 70 years old with solid cancer received radical surgery between 2007 and 2012 at four affiliated hospitals of the Chang Gung Memorial Hospital were included. The clinical variables of patients who died within 3 months post-surgery were analyzed retrospectively. Recursive partitioning analysis (RPA) was performed by randomly selecting 50% of the patients (testing set) to identify specific groups of patients with the lowest and highest probability of 3-month postoperative mortality. The remaining 50% were used as validation set of the model. Results: Patients' gender, Eastern Cooperative Oncology Group performance (ECOG scale), Charlson comorbidity index (CCI), American Society of Anesthesiologist physical status, age, tumor staging, and mode of admission were independent variables that predicted 3-month postoperative mortality. The RPA model identified patients with an ECOG scale of 0-2, localized tumor stage, and a CCI of 0-2 as having the lowest probability of 3-month postoperative mortality (1.1% and 1.3% in the testing set and validation set, respectively). Conversely, an ECOG scale of 3-4 and a CCI >2 were associated with the highest probability of 3-month postoperative mortality (55.2% and 47.8% in the testing set and validation set, respectively). Conclusion: We identified ECOG scale and CCI score were the two most influencing factors that determined 3-month postoperative mortality in geriatric cancer patients. PMID:26722355

  4. Does Parsonnet scoring model predict mortality following adult cardiac surgery in India?

    PubMed Central

    Srilata, Moningi; Padhy, Narmada; Padmaja, Durga; Gopinath, Ramachandran

    2015-01-01

    Aims and Objectives: To validate the Parsonnet scoring model to predict mortality following adult cardiac surgery in Indian scenario. Materials and Methods: A total of 889 consecutive patients undergoing adult cardiac surgery between January 2010 and April 2011 were included in the study. The Parsonnet score was determined for each patient and its predictive ability for in-hospital mortality was evaluated. The validation of Parsonnet score was performed for the total data and separately for the sub-groups coronary artery bypass grafting (CABG), valve surgery and combined procedures (CABG with valve surgery). The model calibration was performed using Hosmer–Lemeshow goodness of fit test and receiver operating characteristics (ROC) analysis for discrimination. Independent predictors of mortality were assessed from the variables used in the Parsonnet score by multivariate regression analysis. Results: The overall mortality was 6.3% (56 patients), 7.1% (34 patients) for CABG, 4.3% (16 patients) for valve surgery and 16.2% (6 patients) for combined procedures. The Hosmer–Lemeshow statistic was <0.05 for the total data and also within the sub-groups suggesting that the predicted outcome using Parsonnet score did not match the observed outcome. The area under the ROC curve for the total data was 0.699 (95% confidence interval 0.62–0.77) and when tested separately, it was 0.73 (0.64–0.81) for CABG, 0.79 (0.63–0.92) for valve surgery (good discriminatory ability) and only 0.55 (0.26–0.83) for combined procedures. The independent predictors of mortality determined for the total data were low ejection fraction (odds ratio [OR] - 1.7), preoperative intra-aortic balloon pump (OR - 10.7), combined procedures (OR - 5.1), dialysis dependency (OR - 23.4), and re-operation (OR - 9.4). Conclusions: The Parsonnet score yielded a good predictive value for valve surgeries, moderate predictive value for the total data and for CABG and poor predictive value for combined

  5. Factors That Predict Short-term Intensive Care Unit Mortality in Patients With Cirrhosis

    PubMed Central

    BAHIRWANI, RANJEETA; GHABRIL, MARWAN; FORDE, KIMBERLY A.; CHATRATH, HEMANT; WOLF, KAREN M.; URIBE, LINDSAY; REDDY, K. RAJENDER; FUCHS, BARRY; CHALASANI, NAGA

    2013-01-01

    BACKGROUND & AIMS Despite advances in critical care medicine, the mortality rate is high among critically ill patients with cirrhosis. We aimed to identify factors that predict early (7 d) mortality among patients with cirrhosis admitted to the intensive care unit (ICU) and to develop a risk-stratification model. METHODS We collected data from patients with cirrhosis admitted to the ICU at Indiana University (IU–ICU) from December 1, 2006, through December 31, 2009 (n = 185), or at the University of Pennsylvania (Penn–ICU) from May 1, 2005, through December 31, 2010 (n = 206). Factors associated with mortality within 7 days of admission (7-d mortality) were determined by logistic regression analyses. A model was constructed based on the predictive parameters available on the first day of ICU admission in the IU–ICU cohort and then validated in the Penn–ICU cohort. RESULTS Median Model for End-stage Liver Disease (MELD) scores at ICU admission were 25 in the IU–ICU cohort (interquartile range, 23–34) and 32 in the Penn–ICU cohort (interquartile range, 26–41); corresponding 7-day mortalities were 28.3% and 53.6%, respectively. MELD score (odds ratio, 1.13; 95% confidence interval [CI], 1.07–1.2) and mechanical ventilation (odds ratio, 5.7; 95% CI, 2.3–14.1) were associated independently with 7-day mortality in the IU–ICU. A model based on these 2 variables separated IU–ICU patients into low-, medium-, and high-risk groups; these groups had 7-day mortalities of 9%, 27%, and 74%, respectively (concordance index, 0.80; 95% CI, 0.72– 0.87; P < 10−8). The model was applied to the Penn–ICU cohort; the low-, medium-, and high-risk groups had 7-day mortalities of 33%, 56%, and 71%, respectively (concordance index, 0.67; 95% CI, 0.59–0.74; P < 10−4). CONCLUSIONS A model based on MELD score and mechanical ventilation on day 1 can stratify risk of early mortality in patients with cirrhosis admitted to the ICU. More studies are needed to

  6. Endothelial Progenitor Cells Predict Long-Term Mortality in Hemodialysis Patients

    PubMed Central

    Lu, Chien-Lin; Leu, Jyh-Gang; Liu, Wen-Chih; Zheng, Cai-Mei; Lin, Yuh-Feng; Shyu, Jia-Fwu; Wu, Chia-Chao; Lu, Kuo-Cheng

    2016-01-01

    Background: The endothelial progenitor cells (EPCs) dysfunction is a critical event in the initiation of atherosclerotic plaque development and the level of circulating EPCs can be considered a biomarker of cardiovascular events. The level and functional change in EPCs has been investigated in hemodialysis patients, but the effect of absolute number of EPCs on risk of death has not yet been explored. We hypothesized that the number of EPCs predicted death from cardiovascular and all-cause mortality in hemodialysis patients. Methods: We evaluate the association between endothelial progenitor cells and clinical outcome in 154 patients on maintenance hemodialysis. The blood sample was drawn at the time of patient enrollment and EPCs were identified by flow cytometry using triple staining for CD34/CD133/KDR. Results: The median duration of follow-up was 4.19 years. There were 79 (51.3%) deaths during the follow-up period, 41 of whom died due to a confirmed cardiovascular cause. The cumulative survival was greater in the high-EPC group than the low-EPC group for all-cause and cardiovascular mortality. Decreased EPCs levels were associated with a significant increase in the risk of cardiovascular and all-cause mortality after adjusting for age, gender, current smokers, diabetes mellitus, and hypertension. Conclusions: The level of circulating EPCs independently predicts the clinical outcome in patients on maintenance hemodialysis. Thus, the EPCs levels may be a useful predictive tool for evaluating the risk of death in maintenance hemodialysis patients. PMID:26941585

  7. Intersections of mortality-rate and survival functions: model-independent considerations.

    PubMed

    Hirsch, H R

    1997-01-01

    In work reported previously (Hirsch, 1995), it was shown that families of straight lines intersect at a single point if and only if the slopes of the lines are linearly related to their intercepts. This slope-intercept relation was applied to several mathematical mortality models including the Gompertz-Makeham and the Weibull. In all cases, survival functions intersected at greater ages than the corresponding mortality-rate functions. It was further demonstrated that a common point of intersection can exist for members of a family of survival functions or for members of the corresponding family of mortality-rate functions but not for both. Here the same results are obtained with respect to intersections of general model-independent survival and mortality-rate functions. The generality of the results strengthens the conclusion reached earlier that these intersections imply only the existence of a valid slope-intercept relation and have little other significance with regard to the biology of aging. PMID:9193896

  8. Usefulness of Glycemic Gap to Predict ICU Mortality in Critically Ill Patients With Diabetes

    PubMed Central

    Liao, Wen-I.; Wang, Jen-Chun; Chang, Wei-Chou; Hsu, Chin-Wang; Chu, Chi-Ming; Tsai, Shih-Hung

    2015-01-01

    Abstract Stress-induced hyperglycemia (SIH) has been independently associated with an increased risk of mortality in critically ill patients without diabetes. However, it is also necessary to consider preexisting hyperglycemia when investigating the relationship between SIH and mortality in patients with diabetes. We therefore assessed whether the gap between admission glucose and A1C-derived average glucose (ADAG) levels could be a predictor of mortality in critically ill patients with diabetes. We retrospectively reviewed the Acute Physiology and Chronic Health Evaluation II (APACHE-II) scores and clinical outcomes of patients with diabetes admitted to our medical intensive care unit (ICU) between 2011 and 2014. The glycosylated hemoglobin (HbA1c) levels were converted to the ADAG by the equation, ADAG = [(28.7 × HbA1c) − 46.7]. We also used receiver operating characteristic (ROC) curves to determine the optimal cut-off value for the glycemic gap when predicting ICU mortality and used the net reclassification improvement (NRI) to measure the improvement in prediction performance gained by adding the glycemic gap to the APACHE-II score. We enrolled 518 patients, of which 87 (17.0%) died during their ICU stay. Nonsurvivors had significantly higher APACHE-II scores and glycemic gaps than survivors (P < 0.001). Critically ill patients with diabetes and a glycemic gap ≥80 mg/dL had significantly higher ICU mortality and adverse outcomes than those with a glycemic gap <80 mg/dL (P < 0.001). Incorporation of the glycemic gap into the APACHE-II score increased the discriminative performance for predicting ICU mortality by increasing the area under the ROC curve from 0.755 to 0.794 (NRI = 13.6%, P = 0.0013). The glycemic gap can be used to assess the severity and prognosis of critically ill patients with diabetes. The addition of the glycemic gap to the APACHE-II score significantly improved its ability to predict ICU mortality. PMID

  9. Fatty liver disease: Disparate predictive ability for cardiometabolic risk and all-cause mortality

    PubMed Central

    Onat, Altan; Can, Günay; Kaya, Ayşem; Akbaş, Tuğba; Özpamuk-Karadeniz, Fatma; Şimşek, Barış; Çakır, Hakan; Yüksel, Hüsniye

    2015-01-01

    AIM: To assess the association of a surrogate of fatty liver disease (FLD) with incident type-2 diabetes, coronary heart disease, and all-cause mortality. METHODS: In a prospective population-based study on 1822 middle-aged adults, stratified to gender, we used an algorithm of fatty liver index (FLI) to identify associations with outcomes. An index ≥ 60 indicated the presence of FLD. In Cox regression models, adjusted for age, smoking status, high-density lipoprotein cholesterol, and systolic blood pressure, we assessed the predictive value of FLI for incident diabetes, coronary heart disease (CHD), and all-cause mortality. RESULTS: At a mean 8 year follow-up, 218 and 285 incident cases of diabetes and CHD, respectively, and 193 deaths were recorded. FLD was significantly associated in each gender with blood pressure, total cholesterol, apolipoprotein B, uric acid, and C-reactive protein; weakly with fasting glucose; and inversely with high-density lipoprotein-cholesterol and sex hormone-binding globulin. In adjusted Cox models, FLD was (with a 5-fold HR) the major determinant of diabetes development. Analyses further disclosed significant independent prediction of CHD by FLD in combined gender [hazard ratio (HR) = 1.72, 95% confidence interval (CI): 1.17-2.53] and men (HR = 2.35, 95%CI: 1.25-4.43). Similarly-adjusted models for all-cause mortality proved, however, not to confer risk, except for a tendency in prediabetics and diabetic women. CONCLUSION: A surrogate of FLD conferred significant high risk of diabetes and coronary heart disease, independent of some metabolic syndrome traits. All-cause mortality was not associated with FLD, except likely in the prediabetic state. Such a FLI may reliably be used in epidemiologic studies. PMID:26730168

  10. Determining the Independent Risk Factors and Mortality Rate of Nosocomial Infections in Pediatric Patients.

    PubMed

    Aktar, Fesih; Tekin, Recep; Güneş, Ali; Ülgen, Cevat; Tan, İlhan; Ertuğrul, Sabahattin; Köşker, Muhammet; Balık, Hasan; Karabel, Duran; Yolbaş, Ilyas

    2016-01-01

    The objective of this study was to determine the rate, independent risk factors, and outcomes of healthcare-associated infections in pediatric patients. This study was performed between 2011 and 2014 in pediatric clinic and intensive care unit. 86 patients and 86 control subjects were included in the study. Of 86 patients with nosocomial infections (NIs), there were 100 NIs episodes and 90 culture growths. The median age was 32.0 months. The median duration of hospital stay of the patients was 30.0 days. The most frequent pathogens were Coagulase-negative Staphylococcus, Acinetobacter spp., Klebsiella spp., and Candida spp. Unconsciousness, prolonged hospitalization, transfusion, mechanical ventilation, use of central venous catheter, enteral feeding via a nasogastric tube, urinary catheter, and receiving carbapenems and glycopeptides were found to be significantly higher in NIs patients. Multivariate logistic regression analysis showed prolonged hospitalization, neutropenia, and use of central venous catheter and carbapenems as the independent risk factors for NIs. In the univariate analysis, unconsciousness, mechanical ventilation, enteral feeding, use of enteral feeding via a nasogastric tube, H2 receptor blockers, and port and urinary catheter were significantly associated with mortality. In the multiple logistic regression analysis, only mechanical ventilation was found as an independent predictor of mortality in patients with NIs. PMID:26981536

  11. Determining the Independent Risk Factors and Mortality Rate of Nosocomial Infections in Pediatric Patients

    PubMed Central

    Aktar, Fesih; Tekin, Recep; Güneş, Ali; Ülgen, Cevat; Tan, İlhan; Ertuğrul, Sabahattin; Köşker, Muhammet; Balık, Hasan; Karabel, Duran; Yolbaş, Ilyas

    2016-01-01

    The objective of this study was to determine the rate, independent risk factors, and outcomes of healthcare-associated infections in pediatric patients. This study was performed between 2011 and 2014 in pediatric clinic and intensive care unit. 86 patients and 86 control subjects were included in the study. Of 86 patients with nosocomial infections (NIs), there were 100 NIs episodes and 90 culture growths. The median age was 32.0 months. The median duration of hospital stay of the patients was 30.0 days. The most frequent pathogens were Coagulase-negative Staphylococcus, Acinetobacter spp., Klebsiella spp., and Candida spp. Unconsciousness, prolonged hospitalization, transfusion, mechanical ventilation, use of central venous catheter, enteral feeding via a nasogastric tube, urinary catheter, and receiving carbapenems and glycopeptides were found to be significantly higher in NIs patients. Multivariate logistic regression analysis showed prolonged hospitalization, neutropenia, and use of central venous catheter and carbapenems as the independent risk factors for NIs. In the univariate analysis, unconsciousness, mechanical ventilation, enteral feeding, use of enteral feeding via a nasogastric tube, H2 receptor blockers, and port and urinary catheter were significantly associated with mortality. In the multiple logistic regression analysis, only mechanical ventilation was found as an independent predictor of mortality in patients with NIs. PMID:26981536

  12. Predictive ability of C-reactive protein for early mortality after ischemic stroke: comparison with NIHSS score.

    PubMed

    Ghabaee, Mojdeh; Zandieh, Ali; Mohebbi, Shahrzad; Fakhri, Mohammad; Sadeghian, Homa; Divani, Fatemeh; Amirifard, Hamed; Mousavi-Mirkala, Mohammadreza; Ghaffarpour, Majid

    2014-03-01

    We aimed to compare the association of high-sensitivity C-reactive protein (CRP) and National Institutes of Health Stroke Scale (NIHSS) score with mortality risk and to determine the optimal threshold of CRP for prediction of mortality in ischemic-stroke patients. A series of 162 patients with first-ever ischemic-stroke admitted within 24 h after onset of symptoms was enrolled. CRP and NIHSS score were estimated on admission and their predictive abilities for mortality at 7 days were determined by logistic-regression analyses. Receiver-Operating Characteristic (ROC) curves were depicted to identify the optimal cut-off of CRP, using the maximum Youden-index and the shortest-distance methods. Deceased patients had higher levels of CRP and NIHSS on admission (8.87 ± 7.11 vs. 2.20 ± 4.71 mg/l for CRP, and 17.31 ± 6.36 vs. 8.70 ± 4.85 U for NIHSS, respectively, P < 0.01). CRP and NIHSS were correlated with each other (r (2) = 0.39, P < 0.001) and were also independently associated with increased risk of mortality [odds ratios (95 % confidence interval) of 1.16 (1.05-1.28) and 1.20 (1.07-1.35) for CRP and NIHSS, respectively, P < 0.01]. The areas under the ROC curves of CRP and NIHSS for mortality were 0.82 and 0.84, respectively. The CRP value of 2.2 mg/l was identified as the optimal cut-off value for prediction of mortality within 7 days (sensitivity: 0.81, specificity: 0.80). Thus, CRP as an independent predictor of mortality following ischemic-stroke is comparable with NIHSS and the value of 2.2 mg/l yields the optimum sensitivity and specificity for mortality prediction. PMID:23975559

  13. Serum Alkaline Phosphatase Levels Predict Infection-Related Mortality and Hospitalization in Peritoneal Dialysis Patients

    PubMed Central

    Hwang, Seun Deuk; Kim, Su-Hyun; Kim, Young Ok; Jin, Dong Chan; Song, Ho Chul; Choi, Euy Jin; Kim, Yong-Lim; Kim, Yon-Su; Kang, Shin-Wook; Kim, Nam-Ho; Yang, Chul Woo; Kim, Yong Kyun

    2016-01-01

    Background Serum alkaline phosphatase (ALP) levels have been reported to be associated with all-cause and cardiovascular mortality in peritoneal dialysis (PD) patients. However, it is unclear whether serum ALP levels predict infection-related clinical outcomes in PD patients. The aim of this study was to determine the relationships between serum ALP levels, infection-related mortality and hospitalization in PD patients. Methods PD patients from the Clinical Research Center registry for end-stage renal disease, a multicenter prospective observational cohort study in Korea, were included in the present study. Patients were categorized into three groups by serum ALP tertiles as follows: Tertile 1, ALP <78 U/L; Tertile 2, ALP = 78–155 U/L; Tertile 3, ALP >155 U/L. Tertile 1 was used as the reference category. The primary outcomes were infection-related mortality and hospitalization. Results A total of 1,455 PD patients were included. The median follow-up period was 32 months. The most common cause of infection-related mortality and hospitalization was PD-related peritonitis. Multivariate Cox regression analyses showed that patients in the highest tertiles of serum ALP levels were at higher risk of infection-related mortality (HR 2.29, 95% CI, 1.42–5.21, P = 0.008) after adjustment for clinical variables. Higher tertiles of serum ALP levels were associated with higher risk of infection-related hospitalization (Tertile 2: HR 1.56, 95% CI, 1.18–2.19, P = 0.009, tertile 3: HR 1.34, 95% CI, 1.03–2.62, P = 0.031). Conclusions Our data showed that elevated serum ALP levels were independently associated with a higher risk of infection-related mortality and hospitalization in PD patients. PMID:27310428

  14. Anemia on Admission Is an Independent Predictor of Long-Term Mortality in Hip Fracture Population

    PubMed Central

    Zhang, Licheng; Yin, Pengbin; Lv, Houchen; Long, Anhua; Gao, Yuan; Zhang, Lihai; Tang, Peifu

    2016-01-01

    Abstract Anemia is a disputable factor for long-term mortality in hip fracture population in previous studies. Previous studies indicated that the level of hemoglobin (Hb) might fluctuate due to various factors, such as comorbidities and in-hospital interventions, and the changing level of Hb, may lead to discordance diagnosis of anemia and thus to the conflicting conclusions on prognostic value of anemia. So in this study, we aim to compare factors affecting the diagnosis of anemia at different time-points, admission, postoperation, and discharge, and to determine which the time point is most suitable for mortality prediction. This prospective cohort study included 1330 hip fracture patients from 1 January 2000 to 18 November 2012. Hb levels at 3 different time points, such as admission, postoperation, and discharge, were collected and used to stratify the cohort into anemia and nonanemia groups. Candidate factors including commodities, perioperative factors, blood transfusion, and other in-hospital interventions were collected before discharge. Logistic regression analyses were performed to detect risk factors for anemia for the 3 time points separately. Kaplan–Meier and multivariate Cox regression analyses were used to evaluate the association between anemia and 2-year mortality. Factors affecting the diagnosis of anemia were different for the 3 time points. Age, female sex, American Society of Anesthesiologists score (ASA), and intertrochanteric fracture were associated with admission anemia, while surgical procedure, surgical duration, blood transfusion, blood loss during the operation, and drainage volume were major risk factors for postoperation anemia. Cox proportional-hazards regression analysis suggested that the risk of all-cause mortality was higher in the anemia group on admission (1.680, 95%CI: 1.201–2.350, P < 0.01), but not postoperation or on discharge, after adjustment for confounding factors. Our study showed that risk factors for anemia

  15. Mortality Risk Prediction by Application of Pediatric Risk of Mortality Scoring System in Pediatric Intensive Care Unit

    PubMed Central

    Khajeh, Ali; Noori, Noor Mohammad; Reisi, Mohsen; Fayyazi, Afshin; Mohammadi, Mahdi; Miri-Aliabad, Ghasem

    2013-01-01

    Objective The Pediatric Risk of Mortality (PRISM) score is one of the scores used by many pediatricians for prediction of the mortality risk in the pediatric intensive care unit (PICU). Herein, we intend to evaluate the efficacy of PRISM score in prediction of mortality rate in PICU. Methods In this cohort study, 221 children admitted during an 18-month period to PICU, were enrolled. PRISM score and mortality risk were calculated. Follow up was noted as death or discharge. Results were analyzed by Kaplan-Meier curve, ROC curve, Log Rank (Mantel-Cox), Logistic regression model using SPSS 15. Findings Totally, 57% of the patients were males. Forty seven patients died during the study period. The PRISM score was 0-10 in 71%, 11-20 in 20.4% and 21-30 in 8.6%. PRISM score showed an increase of mortality from 10.2% in 0-10 score patients to 73.8% in 21-30 score ones. The survival time significantly decreased as PRISM score increased (P≤0.001). A 7.2 fold mortality risk was present in patients with score 21-30 compared with score 0-10. ROC curve analysis for mortality according to PRISM score showed an under curve area of 80.3%. Conclusion PRISM score is a good predictor for evaluation of mortality risk in PICU. PMID:24800015

  16. AST to Platelet Ratio Index Predicts Mortality in Hospitalized Patients With Hepatitis B-Related Decompensated Cirrhosis

    PubMed Central

    Mao, Weilin; Sun, Qinqin; Fan, Jian; Lin, Sha; Ye, Bo

    2016-01-01

    Abstract Aspartate aminotransferase to platelet ratio index (APRI) has originally been considered as a noninvasive marker for detecting hepatic fibrosis in patients with chronic hepatitis B and C. APRI has been used for predicting liver-related mortality in patients with chronic hepatitis C virus infection or alcoholic liver disease. However, whether APRI could be useful for predicting mortality in chronic hepatitis B virus (HBV) infection remains unevaluated. This study aims to address this knowledge gap. A total of 193 hospitalized chronic HBV-infected patients (cirrhosis, n = 100; noncirrhosis, n = 93) and 88 healthy subjects were retrospectively enrolled. All patients were followed up for 4 months. Mortality that occurred within 90 days of hospital stay was compared among patients with different APRI. APRI predictive value was evaluated by univariate and multivariate regression embedded in a Cox proportional hazards model. APRI varied significantly in our cohort (range, 0.16–10.00). Elevated APRI was associated with increased severity of liver disease and 3-month mortality in hospitalized patients with HBV-related cirrhosis. Multivariate analysis demonstrated that APRI (odds ratio: 1.456, P < 0.001) and the model for end-stage liver disease score (odds ratio: 1.194, P < 0.001) were 2 independent markers for predicting mortality. APRI is a simple marker that may serve as an additional predictor of 3-month mortality in hospitalized patients with HBV-related decompensated cirrhosis. PMID:26945406

  17. Elevated Cell-Free Plasma DNA Level as an Independent Predictor of Mortality in Patients with Severe Traumatic Brain Injury

    PubMed Central

    Rodrigues Filho, Edison Moraes; Simon, Daniel; Ikuta, Nilo; Klovan, Caroline; Dannebrock, Fernando Augusto; Oliveira de Oliveira, Carla

    2014-01-01

    Abstract Trauma is the leading cause of death in individuals less than 45 years old worldwide, and up to 50% of trauma fatalities are because of brain injury. Prediction of outcome is one of the major problems associated with severe traumatic brain injury (TBI), and research efforts have focused on the investigation of biomarkers with prognostic value after TBI. Therefore, our aim was to investigate whether cell-free DNA concentrations correlated to short-term primary outcome (survival or death) and Glasgow Coma Scale (GCS) scores after severe TBI. A total of 188 patients with severe TBI were enrolled in this prospective study; outcome variables comprised survival and neurological assessment using the GCS at intensive care unit (ICU) discharge. Control blood samples were obtained from 25 healthy volunteers. Peripheral venous blood was collected at admission to the ICU. Plasma DNA was measured using a real-time quantitative polymerase chain reaction (PCR) assay for the β-globin gene. There was correlation between higher DNA levels and both fatal outcome and lower hospital admission GCS scores. Plasma DNA concentrations at the chosen cutoff point (≥171,381 kilogenomes-equivalents/L) predicted mortality with a specificity of 90% and a sensitivity of 43%. Logistic regression analysis showed that elevated plasma DNA levels were independently associated with death (p<0.001). In conclusion, high cell-free DNA concentration was a predictor of short-term mortality after severe TBI. PMID:24827371

  18. Elevated cell-free plasma DNA level as an independent predictor of mortality in patients with severe traumatic brain injury.

    PubMed

    Rodrigues Filho, Edison Moraes; Simon, Daniel; Ikuta, Nilo; Klovan, Caroline; Dannebrock, Fernando Augusto; Oliveira de Oliveira, Carla; Regner, Andrea

    2014-10-01

    Trauma is the leading cause of death in individuals less than 45 years old worldwide, and up to 50% of trauma fatalities are because of brain injury. Prediction of outcome is one of the major problems associated with severe traumatic brain injury (TBI), and research efforts have focused on the investigation of biomarkers with prognostic value after TBI. Therefore, our aim was to investigate whether cell-free DNA concentrations correlated to short-term primary outcome (survival or death) and Glasgow Coma Scale (GCS) scores after severe TBI. A total of 188 patients with severe TBI were enrolled in this prospective study; outcome variables comprised survival and neurological assessment using the GCS at intensive care unit (ICU) discharge. Control blood samples were obtained from 25 healthy volunteers. Peripheral venous blood was collected at admission to the ICU. Plasma DNA was measured using a real-time quantitative polymerase chain reaction (PCR) assay for the β-globin gene. There was correlation between higher DNA levels and both fatal outcome and lower hospital admission GCS scores. Plasma DNA concentrations at the chosen cutoff point (≥171,381 kilogenomes-equivalents/L) predicted mortality with a specificity of 90% and a sensitivity of 43%. Logistic regression analysis showed that elevated plasma DNA levels were independently associated with death (p<0.001). In conclusion, high cell-free DNA concentration was a predictor of short-term mortality after severe TBI. PMID:24827371

  19. Is Self-Rated Health an Independent Index for Mortality among Older People in Indonesia?

    PubMed Central

    Ng, Nawi; Hakimi, Mohammad; Santosa, Ailiana; Byass, Peter; Wilopo, Siswanto Agus; Wall, Stig

    2012-01-01

    Background Empirical studies on the association between self-rated health (SRH) and subsequent mortality are generally lacking in low- and middle-income countries. The evidence on whether socio-economic status and education modify this association is inconsistent. This study aims to fill these gaps using longitudinal data from a Health and Demographic Surveillance System (HDSS) site in Indonesia. Methods In 2010, we assessed the mortality status of 11,753 men and women aged 50+ who lived in Purworejo HDSS and participated in the INDEPTH WHO SAGE baseline in 2007. Information on self-rated health, socio-demographic indicators, disability and chronic disease were collected through face-to-face interview at baseline. We used Cox-proportional hazards regression for mortality and included all variables measured at baseline, including interaction terms between SRH and both education and socio-economic status (SES). Results During an average of 36 months follow-up, 11% of men and 9.5% of women died, resulting in death rates of 3.1 and 2.6 per 1,000 person-months, respectively. The age-adjusted Hazard Ratio (HR) for mortality was 17% higher in men than women (HR = 1.17; 95% CI = 1.04–1.31). After adjustment for covariates, the hazard ratios for mortality in men and women reporting bad health were 3.0 (95% CI = 2.0–4.4) and 4.9 (95% CI = 3.2–7.4), respectively. Education and SES did not modify this association for either sex. Conclusions This study supports the predictive power of bad self-rated health for subsequent mortality in rural Indonesian men and women 50 years old and over. In these analyses, education and household socio-economic status do not modify the relationship between SRH and mortality. This means that older people who rate their own health poorly should be an important target group for health service interventions. PMID:22523584

  20. Ecological effects of density-independent mortality: application to cooling-water withdrawals.

    PubMed

    Newbold, Stephen C; Iovanna, Rich

    2007-03-01

    A wide variety of environmental stresses can cause density-independent mortality in species populations. One example is cooling-water withdrawals, which kill or injure many aquatic organisms near power plants and other industrial facilities. In the United States alone, hundreds of facilities withdraw trillions of gallons from inland and coastal waters every year to cool turbines and other manufacturing equipment. A number of detailed, site-specific studies of the effects of such cooling-water withdrawals have been conducted over the last 30 years, but only a few generalizations have been proposed in the peer-reviewed literature. In this paper we use a series of basic theoretical models to investigate the potential effects of density-independent mortality on species populations and ecosystems, with particular focus on the effects of cooling-water withdrawals on fish populations, fisheries, and aquatic communities. Among other results, we show that the effects of cooling-water withdrawals on a species will depend on the magnitude of other co-occurring stressors, environmental variability, the nature of the management regime in the associated fisheries, and the position of the species in the food web. The general models in this paper can provide a starting point for further empirical case studies and some preliminary conceptual guidance for decision makers who must choose between alternative policy options for controlling cooling-water withdrawals. PMID:17489247

  1. Viscoelastic clot strength predicts coagulation-related mortality within 15 minutes

    PubMed Central

    Pezold, Michael; Moore, Ernest E.; Wohlauer, Max; Sauaia, Angela; Gonzalez, Eduardo; Banerjee, Anirban; Silliman, Christopher C.

    2015-01-01

    Background Predicting refractory coagulopathy early in resuscitation of injured patients may decrease a leading cause of preventable death. We hypothesized that clot strength (G) measured by point-of-care rapid thrombelastography (r-TEG) on arrival in the emergency department can predict massive transfusion (MT) and coagulation-related mortality (MT-death). Methods Trauma alerts/activations from May 2008 to September 2010 were reviewed. The variables included the following: age, sex, injury severity score (ISS), systolic blood pressure (SBP), base deficit (BD), traditional coagulation tests (international normalized ratio ([INR], partial thromboplastin time [PTT]), TEG-derived G, and blood products transfused within the first 6 hours. Independent predictors of 2 outcomes (MT [≥10 packed red blood cells units/6 h] and MT-related death) were identified using logistic regression. The individual predictive values of BD, INR, PTT, and G were assessed comparing the areas under the receiver operating characteristic curves (AUC ROC), while adjusting for age, ISS, and SBP. Results Among the 80 study patients, 48% required MT, and 21% died of MT-related complications. INR, ISS, and G were independent predictors of MT, whereas age, ISS, SBP, and G were independently associated with MT-death. The predictive power for outcome MT did not differ among INR (adjusted AUC ROC = 0.92), PTT (AUC ROC = 0.90, P = .41), or G (AUC ROC = 0.89, P = .39). For outcome MT-death, G had the greatest adjusted AUC ROC (0.93) compared with the AUC ROC for BD (0.87, P = .05), INR (0.88, P = .11), and PTT (0.89; P = .19). Conclusion These data suggest that the point-of-care TEG parameter clot strength (G) provides consistent, independent prediction of MT and MT-death early in the resuscitation of injured patients. PMID:21899867

  2. Exercise Ventilatory Inefficiency Adds to Lung Function in Predicting Mortality in COPD.

    PubMed

    Neder, J Alberto; Alharbi, Abdullah; Berton, Danilo C; Alencar, Maria Clara N; Arbex, Flavio F; Hirai, Daniel M; Webb, Katherine A; O'Donnell, Denis E

    2016-08-01

    Severity of resting functional impairment only partially predicts the increased risk of death in chronic obstructive pulmonary disease (COPD). Increased ventilation during exercise is associated with markers of disease progression and poor prognosis, including emphysema extension and pulmonary vascular impairment. Whether excess exercise ventilation would add to resting lung function in predicting mortality in COPD, however, is currently unknown. After an incremental cardiopulmonary exercise test, 288 patients (forced expiratory volume in one second ranging from 18% to 148% predicted) were followed for a median (interquartile range) of 57 (47) months. Increases in the lowest (nadir) ventilation to CO2 output (VCO2) ratio determined excess exercise ventilation. Seventy-seven patients (26.7%) died during follow-up: 30/77 (38.9%) deaths were due to respiratory causes. Deceased patients were older, leaner, had a greater co-morbidity burden (Charlson Index) and reported more daily life dyspnea. Moreover, they had poorer lung function and exercise tolerance (p < 0.05). A logistic regression analysis revealed that ventilation/VCO2 nadir was the only exercise variable that added to age, body mass index, Charlson Index and resting inspiratory capacity (IC)/total lung capacity (TLC) ratio to predict all-cause and respiratory mortality (p < 0.001). Kaplan-Meier analyses showed that survival time was particularly reduced when ventilation/VCO2 nadir > 34 was associated with IC/TLC ≤ 0.34 or IC/TLC ≤ 0.31 for all-cause and respiratory mortality, respectively (p < 0.001). Excess exercise ventilation is an independent prognostic marker across the spectrum of COPD severity. Physiological abnormalities beyond traditional airway dysfunction and lung mechanics are relevant in determining the course of the disease. PMID:27077955

  3. Diastolic myocardial dysfunction by tissue Doppler imaging predicts mortality in patients with cerebral infarction.

    PubMed

    Olsen, Flemming J; Jørgensen, Peter G; Møgelvang, Rasmus; Jensen, Jan S; Fritz-Hansen, Thomas; Bech, Jan; Sivertsen, Jacob; Biering-Sørensen, Tor

    2015-10-01

    Several clinical prediction score models have been investigated for predicting mortality in patients with cerebral infarction. However, none of these include echocardiographic measures. Our objective was to evaluate the prognostic value of tissue Doppler imaging (TDI) of the myocardium in patients with cerebral infarction. Two hundred forty-four patients with cerebral infarction and subsequent echocardiographic examination in sinus rhythm were identified. Using TDI in three apical projections, longitudinal mitral annular velocities were obtained in six segments. Cox regression models, C-statistics and reclassification analysis were performed for global and segmental e'. During a median follow-up of 3 years 42 patients died. Patients who died had significantly impaired systolic and diastolic function (determined by LVEF and E/e'). The risk of dying increased with decreasing global e', being approximately 13 times higher for patients in the lowest tertile compared to patients in the highest tertile (HR 13.4 [3.2;56.3], p < 0.001). Patients with significantly impaired global e' showed increased mortality after multivariable adjustment for: LVEF, E/e', age, gender, heart failure, chronic obstructive pulmonary disease, prior cerebral infarction, ischemic heart disease, cancer, hypertension, hypercholesterolemia, carotid stenosis, mitral regurgitation, liver disease and thromboembolisms (HR 1.9 [1.1;3.2]), per 1 cm/s decrease, p < 0.05). Similar pattern was seen in segmental analyses of the e'. In contrast to e', no conventional echocardiographic parameters remained independent predictors of mortality after multivariable adjustment. Diastolic myocardial dysfunction determined as e' by TDI is a significant predictor of mortality in patients with cerebral infarction. Applying this parameter can aid the prognostic assessment after cerebral infarction. PMID:26195231

  4. MELD score can predict early mortality in patients with rebleeding after band ligation for variceal bleeding

    PubMed Central

    Chen, Wei-Ting; Lin, Chun-Yen; Sheen, I-shyan; Huang, Chang-Wen; Lin, Tsung-Nan; Lin, Chun-Jung; Jeng, Wen-Juei; Huang, Chien-Hao; Ho, Yu-Pin; Chiu, Cheng-Tang

    2011-01-01

    AIM: To investigate the outcomes, as well as risk factors for 6-wk mortality, in patients with early rebleeding after endoscopic variceal band ligation (EVL) for esophageal variceal hemorrhage (EVH). METHODS: Among 817 EVL procedures performed for EVH between January 2007 and December 2008, 128 patients with early rebleeding, defined as rebleeding within 6 wk after EVL, were enrolled for analysis. RESULT: The rate of early rebleeding after EVL for acute EVH was 15.6% (128/817). The 5-d, 6-wk, 3-mo, and 6-mo mortality rates were 7.8%, 38.3%, 55.5%, and 58.6%, respectively, in these early rebleeding patients. The use of beta-blockers, occurrence of hypovolemic shock, and higher model for end-stage liver disease (MELD) score at the time of rebleeding were independent predictors for 6-wk mortality. A cut-off value of 21.5 for the MELD score was found with an area under ROC curve of 0.862 (P < 0.001). The sensitivity, specificity, positive predictive value, and negative predictive value were 77.6%, 81%, 71.7%, and 85.3%, respectively. As for the 6-mo survival rate, patients with a MELD score ≥ 21.5 had a significantly lower survival rate than patients with a MELD score < 21.5 (P < 0.001). CONCLUSION: This study demonstrated that the MELD score is an easy and powerful predictor for 6-wk mortality and outcomes of patients with early rebleeding after EVL for EVH. PMID:21547132

  5. Predicting mortality from burns: the need for age-group specific models.

    PubMed

    Taylor, Sandra L; Lawless, MaryBeth; Curri, Terese; Sen, Soman; Greenhalgh, David G; Palmieri, Tina L

    2014-09-01

    Traditional burn mortality models are derived using all age groups. We hypothesized that age variably impacts mortality after burn and that age-specific models for children, adults, and seniors will more accurately predict mortality than an all-ages model. We audited data from the American Burn Association (ABA) National Burn Repository (NBR) from 2000 to 2009 and used mixed effect logistic regression models to assess the influence of age, total body surface area (TBSA) burn, and inhalation injury on mortality. Mortality models were constructed for all ages and age-specific models: children (<18 years), adults (18-60 years), and seniors (>60 years). Model performance was assessed by area under the receiver operating curve (AUC). Main effect and two-way interactions were used to construct age-group specific mortality models. Each age-specific model was compared to the All Ages model. Of 286,293 records 100,051 had complete data. Overall mortality was 4% but varied by age (17% seniors, <1% children). Age, TBSA, and inhalation injury were significant mortality predictors for all models (p<0.05). Differences in predicted mortality between the All Ages model and the age-specific models occurred in children and seniors. In the age-specific pediatric model, predicted mortality decreased with age; inhalation injury had greater effect on mortality than in the All Ages model. In the senior model mortality increased with age. Seniors had greater increase in mortality per 1% increment in burn size and 1 year increase in age than other ages. The predicted mortality in seniors using the senior-specific model was higher than in the All Ages model. "One size fits all" models for predicting burn outcomes do not accurately reflect the outcomes for seniors and children. Age-specific models for children and seniors may be advisable. PMID:24846014

  6. Trends and predictions for gastric cancer mortality in Brazil

    PubMed Central

    de Souza Giusti, Angela Carolina Brandão; de Oliveira Salvador, Pétala Tuani Candido; dos Santos, Juliano; Meira, Karina Cardoso; Camacho, Amanda Rodrigues; Guimarães, Raphael Mendonça; Souza, Dyego L B

    2016-01-01

    AIM: To analyze the effect of age-period and birth cohort on gastric cancer mortality, in Brazil and across its five geographic regions, by sex, in the population over 20 years of age, as well as make projections for the period 2010-2029. METHODS: An ecological study is presented herein, which distributed gastric cancer-related deaths in Brazil and its geographic regions. The effects of age-period and birth cohort were calculated by the Poisson regression model and projections were made with the age-period-cohort model in the statistical program R. RESULTS: Progressive reduction of mortality rates was observed in the 1980’s, and then higher and lower mortality rates were verified in the 2000’s, for both sexes, in Brazil and for the South, Southeast and Midwest regions. A progressive decrease in mortality rates was observed for the Northeast (both sexes) and North (men only) regions within the period 1995-1999, followed by rising rates. CONCLUSION: Regional differences were demonstrated in the mortality rates for gastric cancer in Brazil, and the least developed regions of the country will present increases in projected mortality rates. PMID:27605887

  7. From hospital admission to independent living: is prediction possible?

    PubMed

    Lipskaya-Velikovsky, Lena; Kotler, Moshe; Easterbrook, Adam; Jarus, Tal

    2015-04-30

    An integral component of recovery from mental illness is being able to engage in everyday activities. This ability is often restricted among people with schizophrenia. Although functional deficits are addressed during hospitalization, the ability to predict daily functioning based on information gathered during hospitalization has not been well established. This study examines whether measurements completed during hospitalization can be useful for predicting independent living within the community. Inpatients with schizophrenia (N=104) were enrolled in the study and assessed for cognitive functioning, functional capacity and symptoms. They were approached again 6 months after discharge to evaluate their functioning with respect to everyday life Instrumental Activities of Daily Living (IADL) and Activities of Daily Living (ADL). Functional capacity during hospitalization predicted 26.8% of ADL functioning and 38.8% of IADL functioning. ADL was best predicted by the severity of negative symptoms, cognitive functioning, and the number of hospitalizations (51.2%), while IADL was best predicted by functional capacity, cognition, and number of hospitalizations (60.1%). This study provides evidence that evaluations during hospitalization can be effective, and demonstrates the advantage of a holistic approach in predicting daily functioning. When a holistic approach is not practical, a functional capacity measurement may serve as an effective predictor. PMID:25747682

  8. Independent influence of negative blood cultures and bloodstream infections on in-hospital mortality

    PubMed Central

    2014-01-01

    Background The independent influence of blood culture testing and bloodstream infection (BSI) on hospital mortality is unclear. Methods We included all adults treated in non-psychiatric services at our hospital between 2004 and 2011. We identified all blood cultures and their results to determine the independent association of blood culture testing and BSI on death in hospital using proportional hazards modeling that adjusted for important covariates. Results Of 297 070 hospitalizations, 48 423 had negative blood cultures and 5274 had BSI. 12 529 (4.2%) died in hospital. Compared to those without blood cultures, culture-negative patients and those with BSI were sicker. Culture-negative patients had a significantly increased risk of death in hospital (adjusted hazard ratio [HR] ranging between 3.1 and 4.4 depending on admission urgency, extent of comorbidities, and whether the blood culture was taken in the intensive care unit). Patients with BSI had a significantly increased risk of death (adj-HR ranging between 3.8 and 24.3] that was significantly higher when BSI was: diagnosed within the first hospital day; polymicrobial; in patients who were exposed to immunosuppressants or were neutropenic; or due to Clostridial and Candidal organisms. Death risk in culture negative and bloodstream infection patients decreased significantly with time. Conclusions Risk of death in hospital is independently increased both in patients with negative blood cultures and further in those with bloodstream infection. Death risk associated with bloodstream infections varied by the patient’s immune status and the causative microorganism. PMID:24444097

  9. Metabonomics Analysis of Plasma Reveals the Lactate to Cholesterol Ratio as an Independent Prognostic Factor of Short-Term Mortality in Acute Heart Failure

    PubMed Central

    Desmoulin, Franck; Galinier, Michel; Trouillet, Charlotte; Berry, Matthieu; Delmas, Clément; Turkieh, Annie; Massabuau, Pierre; Taegtmeyer, Heinrich; Smih, Fatima; Rouet, Philippe

    2013-01-01

    Objective Mortality in heart failure (AHF) remains high, especially during the first days of hospitalization. New prognostic biomarkers may help to optimize treatment. The aim of the study was to determine metabolites that have a high prognostic value. Methods We conducted a prospective study on a training cohort of AHF patients (n = 126) admitted in the cardiac intensive care unit and assessed survival at 30 days. Venous plasmas collected at admission were used for 1H NMR–based metabonomics analysis. Differences between plasma metabolite profiles allow determination of discriminating metabolites. A cohort of AHF patients was subsequently constituted (n = 74) to validate the findings. Results Lactate and cholesterol were the major discriminating metabolites predicting 30-day mortality. Mortality was increased in patients with high lactate and low total cholesterol concentrations at admission. Accuracies of lactate, cholesterol concentration and lactate to cholesterol (Lact/Chol) ratio to predict 30-day mortality were evaluated using ROC analysis. The Lact/Chol ratio provided the best accuracy with an AUC of 0.82 (P < 0.0001). The acute physiology and chronic health evaluation (APACHE) II scoring system provided an AUC of 0.76 for predicting 30-day mortality. APACHE II score, Cardiogenic shock (CS) state and Lact/Chol ratio ≥ 0.4 (cutoff value with 82% sensitivity and 64% specificity) were significant independent predictors of 30-day mortality with hazard ratios (HR) of 1.11, 4.77 and 3.59, respectively. In CS patients, the HR of 30-day mortality risk for plasma Lact/Chol ratio ≥ 0.4 was 3.26 compared to a Lact/Chol ratio of < 0.4 (P  =  0.018). The predictive power of the Lact/Chol ratio for 30-day mortality outcome was confirmed with the independent validation cohort. Conclusion This study identifies the plasma Lact/Chol ratio as a useful objective and simple parameter to evaluate short term prognostic and could be integrated into quantitative

  10. Peritoneal solute transport rate as an independent risk factor for total and cardiovascular mortality in a population of peritoneal dialysis patients.

    PubMed

    Janda, Katarzyna; Krzanowski, Marcin; Dumnicka, Paulina; Kuśnierz-Cabala, Beata; Miarka, Przemysław; Sułowicz, Władysław

    2014-01-01

    The aim of the present study was to assess the influence of peritoneal permeability expressed as the dialysate-to-plasma ratio of creatinine (D/P Cr) on total and cardiovascular (CV) mortality in a population of peritoneal dialysis (PD) patients during a 6-year observation period. The study recruited 55 patients (mean age: 53 years) treated with PD for a median of 24 months. Hematology parameters and serum albumin were determined using routine methods. Tumor necrosis factor alpha (TNF-alpha) and transforming growth factor beta (TGF-beta1) were determined by high-sensitivity ELISA. Peritoneal transport characteristics were identified using D/P Cr reference values after a peritoneal equilibration test. During the 6-year observation period, 22 patients (40%) died, mostly from CV complications (77% of deaths). In multiple Cox regression, D/P Cr and dialysate volume at PD initiation predicted total [hazard ratio (HR): 1.57; p = 0.02; and HR: 1.20; p = 0.04 respectively] and CV mortality (HR: 1.65; p = 0.02; and HR: 1.23; p = 0.05 respectively) independent of age, dialysis therapy duration, serum albumin concentration, dialysis adequacy measures, TGF-beta1, and TNF-alpha. Additionally, TNF-alpha was independently associated with all-cause and CV mortality, and albumin, with all-cause mortality. Baseline D/P Cr was a strong independent marker of survival in PD patients. Baseline D/P Cr and dialysate volume were independent risk factors for total and CV mortality in the PD population and could be significant for assessing CV risk in this population. PMID:25338416

  11. Developing a simple preinterventional score to predict hospital mortality in adult venovenous extracorporeal membrane oxygenation: A pilot study.

    PubMed

    Cheng, Yu-Ting; Wu, Meng-Yu; Chang, Yu-Sheng; Huang, Chung-Chi; Lin, Pyng-Jing

    2016-07-01

    Despite gaining popularity, venovenous extracorporeal membrane oxygenation (VV-ECMO) remains a controversial therapy for acute respiratory failure (ARF) in adult patients due to its equivocal survival benefits. The study was aimed at identifying the preinterventional prognostic predictors of hospital mortality in adult VV-ECMO patients and developing a practical mortality prediction score to facilitate clinical decision-making.This retrospective study included 116 adult patients who received VV-ECMO for severe ARF in a tertiary referral center, from 2007 to 2015. The definition of severe ARF was PaO2/ FiO2 ratio < 70 mm Hg under advanced mechanical ventilation (MV). Preinterventional variables including demographic characteristics, ventilatory parameters, and severity of organ dysfunction were collected for analysis. The prognostic predictors of hospital mortality were generated with multivariate logistic regression and transformed into a scoring system. The discriminative power on hospital mortality of the scoring system was presented as the area under receiver operating characteristic curve (AUROC).The overall hospital mortality rate was 47% (n = 54). Pre-ECMO MV day > 4 (OR: 4.71; 95% CI: 1.98-11.23; P < 0.001), pre-ECMO sequential organ failure assessment (SOFA) score >9 (OR: 3.16; 95% CI: 1.36-7.36; P = 0.01), and immunocompromised status (OR: 2.91; 95% CI: 1.07-7.89; P = 0.04) were independent predictors of hospital mortality of adult VV-ECMO. A mortality prediction score comprising of the 3 binary predictors was developed and named VV-ECMO mortality score. The total score was estimated as follows: VV-ECMO mortality score = 2 × (Pre-ECMO MV day > 4) + 1 × (Pre-ECMO SOFA score >9) + 1 × (immunocompromised status). The AUROC of VV-ECMO mortality score was 0.76 (95% CI: 0.67-0.85; P < 0.001). The corresponding hospital mortality rates to VV-ECMO mortality scores were 18% (Score 0), 35% (Score 1), 56% (Score 2), 75% (Score

  12. Acute Kidney Injury Predicts Mortality after Charcoal Burning Suicide

    PubMed Central

    Chen, Yu-Chin; Tseng, Yi-Chia; Huang, Wen-Hung; Hsu, Ching-Wei; Weng, Cheng-Hao; Liu, Shou-Hsuan; Yang, Huang-Yu; Chen, Kuan-Hsin; Chen, Hui-Ling; Fu, Jen-Fen; Lin, Wey-Ran; Wang, I-Kuan; Yen, Tzung-Hai

    2016-01-01

    A paucity of literature exists on risk factors for mortality in charcoal burning suicide. In this observational study, we analyzed the data of 126 patients with charcoal burning suicide that seen between 2002 and 2013. Patients were grouped according to status of renal damage as acute kidney injury (N = 49) or non-acute kidney injury (N = 77). It was found that patients with acute kidney injury suffered severer complications such as respiratory failure (P = 0.002), myocardial injury (P = 0.049), hepatic injury (P < 0.001), rhabdomyolysis (P = 0.045) and out-of-hospital cardiac arrest (P = 0.028) than patients without acute kidney injury. Moreover, patients with acute kidney injury suffered longer hospitalization duration (16.9 ± 18.3 versus 10.7 ± 10.9, P = 0.002) and had higher mortality rate (8.2% versus 0%, P = 0.011) than patients without injury. In a multivariate Cox regression model, it was demonstrated that serum creatinine level (P = 0.019) and heart rate (P = 0.022) were significant risk factors for mortality. Finally, Kaplan-Meier analysis revealed that patients with acute kidney injury suffered lower cumulative survival than without injury (P = 0.016). In summary, the overall mortality rate of charcoal burning suicide population was 3.2%, and acute kidney injury was a powerful predictor of mortality. Further studies are warranted. PMID:27430168

  13. Acute Kidney Injury Predicts Mortality after Charcoal Burning Suicide.

    PubMed

    Chen, Yu-Chin; Tseng, Yi-Chia; Huang, Wen-Hung; Hsu, Ching-Wei; Weng, Cheng-Hao; Liu, Shou-Hsuan; Yang, Huang-Yu; Chen, Kuan-Hsin; Chen, Hui-Ling; Fu, Jen-Fen; Lin, Wey-Ran; Wang, I-Kuan; Yen, Tzung-Hai

    2016-01-01

    A paucity of literature exists on risk factors for mortality in charcoal burning suicide. In this observational study, we analyzed the data of 126 patients with charcoal burning suicide that seen between 2002 and 2013. Patients were grouped according to status of renal damage as acute kidney injury (N = 49) or non-acute kidney injury (N = 77). It was found that patients with acute kidney injury suffered severer complications such as respiratory failure (P = 0.002), myocardial injury (P = 0.049), hepatic injury (P < 0.001), rhabdomyolysis (P = 0.045) and out-of-hospital cardiac arrest (P = 0.028) than patients without acute kidney injury. Moreover, patients with acute kidney injury suffered longer hospitalization duration (16.9 ± 18.3 versus 10.7 ± 10.9, P = 0.002) and had higher mortality rate (8.2% versus 0%, P = 0.011) than patients without injury. In a multivariate Cox regression model, it was demonstrated that serum creatinine level (P = 0.019) and heart rate (P = 0.022) were significant risk factors for mortality. Finally, Kaplan-Meier analysis revealed that patients with acute kidney injury suffered lower cumulative survival than without injury (P = 0.016). In summary, the overall mortality rate of charcoal burning suicide population was 3.2%, and acute kidney injury was a powerful predictor of mortality. Further studies are warranted. PMID:27430168

  14. Independent and additive association of prenatal famine exposure and intermediary life conditions with adult mortality age 18–63 years

    PubMed Central

    Ekamper, P.; van Poppel, F.; Stein, A.D.; Lumey, L.H.

    2014-01-01

    Objectives To quantify the relation between prenatal famine exposure and adult mortality, taking into account mediating effects of intermediary life conditions. Design Historical follow-up study. Setting The Dutch famine (Hunger Winter) of 1944–1945 which occurred towards the end of WWII in occupied Netherlands. Study population From 408,015 Dutch male births born 1944–1947, examined for military service at age 18, we selected for follow-up all men born at the time of the famine in six affected cities in the Western Netherlands (n=25,283), and a sample of unexposed time (n=10,667) and place (n=9,087) controls. These men were traced and followed for mortality through the national population and death record systems. Outcome measure All-cause mortality between ages 18 and 63 years using Cox proportional hazards models adjusted for intermediary life conditions. Results An increase in mortality was seen after famine exposure in early gestation (HR 1.12; 95% confidence interval (CI): 1.01 to 1.24) but not late gestation (HR 1.04; 95% CI: 0.96 to 1.13). Among intermediary life conditions at age 18 years, educational level was inversely associated with mortality and mortality was elevated in men with fathers with a manual versus non-manual occupations (HR 1.08; CI: 1.02 to 1.16) and in men who were declared unfit for military service (HR 1.44; CI: 1.31 to 1.58). Associations of intermediate factors with mortality were independent of famine exposure in early life and associations between prenatal famine exposure and adult mortality were independent of social class and education at age 18. Conclusions Timing of exposure in relation to the stage of pregnancy may be of critical importance for later health outcomes independent of intermediary life conditions. PMID:24262812

  15. Perceived extrinsic mortality risk and reported effort in looking after health: testing a behavioral ecological prediction.

    PubMed

    Pepper, Gillian V; Nettle, Daniel

    2014-09-01

    Socioeconomic gradients in health behavior are pervasive and well documented. Yet, there is little consensus on their causes. Behavioral ecological theory predicts that, if people of lower socioeconomic position (SEP) perceive greater personal extrinsic mortality risk than those of higher SEP, they should disinvest in their future health. We surveyed North American adults for reported effort in looking after health, perceived extrinsic and intrinsic mortality risks, and measures of SEP. We examined the relationships between these variables and found that lower subjective SEP predicted lower reported health effort. Lower subjective SEP was also associated with higher perceived extrinsic mortality risk, which in turn predicted lower reported health effort. The effect of subjective SEP on reported health effort was completely mediated by perceived extrinsic mortality risk. Our findings indicate that perceived extrinsic mortality risk may be a key factor underlying SEP gradients in motivation to invest in future health. PMID:24990431

  16. Abdominal aortic calcification is not superior over other vascular calcification in predicting mortality in hemodialysis patients: a retrospective observational study

    PubMed Central

    2013-01-01

    Background KDIGO (Kidney Disease: Improving Global Outcomes) guidelines recommend that a lateral abdominal radiograph should be performed to assess vascular calcification (VC) in dialysis patients. However, abdominal aortic calcification is a prevalent finding, and it remains unclear whether other anatomical areas of VC can predict mortality more accurately. Methods A total of 217 maintenance hemodialysis patients were enrolled at the Sichuan Provincial People’s Hospital between July 2010 and March 2011. Radiographs of the abdomen, pelvis and hands were evaluated by a radiologist to evaluate the presence of VC. The correlation between different areas of VC and all-cause or cardiovascular mortality was analyzed using univariate and multivariate models. Results The prevalence of VC was 70.0% (152 patients), and most had abdominal aortic calcification (90.1%). During 26 ± 7 months of follow-up, 37 patients died. The VC score was independently associated with patient mortality. VC observed on abdominal radiographs (abdominal aortic calcification) was associated with all-cause mortality in models adjusted for cardiovascular risk factors (HR, 4.69; 95%CI, 1.60-13.69) and dialysis factors (HR, 3.38; 95%CI, 1.18-9.69). VC in the pelvis or hands was associated with all-cause mortality in the model adjusted for dialysis factors. When three combinations of VC in different radiographs were included in models, the presence of abdominal VC was only significantly associated with all-cause mortality in the integrated model. VC in the abdomen and pelvis was associated with all-cause mortality in the model adjusted for cardiovascular factors and the integrated model, but neither was significantly associated with cardiovascular mortality. VC in all radiographs was significantly associated with a more than 6-fold risk of all-cause mortality and a more than 5-fold risk of cardiovascular mortality compared to patients without VC. Conclusions VC in different arteries as shown on

  17. A biological approach to the interspecies prediction of radiation-induced mortality risk

    SciTech Connect

    Carnes, B.A.; Grahn, D.; Olshansky, S.J.

    1997-08-01

    Evolutionary explanations for why sexually reproducing organisms grow old suggest that the forces of natural selection affect the ages when diseases occur that are subject to a genetic influence (referred to here as intrinsic diseases). When extended to the population level for a species, this logic leads to the general prediction that age-specific death rates from intrinsic causes should begin to rise as the force of selection wanes once the characteristic age of sexual maturity is attained. Results consistent with these predictions have been found for laboratory mice, beagles, and humans where, after adjusting for differences in life span, it was demonstrated that these species share a common age pattern of mortality for intrinsic causes of death. In quantitative models used to predict radiation-induced mortality, risks are often expressed as multiples of those observed in a control population. A control population, however, is an aging population. As such, mortality risks related to exposure must be interpreted relative to the age-specific risk of death associated with aging. Given the previous success in making interspecies predictions of age-related mortality, the purpose of this study was to determine whether radiation-induced mortality observed in one species could also be predicted quantitatively from a model used to describe the mortality consequences of exposure to radiation in a different species. Mortality data for B6CF{sub 1} mice and beagles exposed to {sup 60}Co {gamma}-rays for the duration of life were used for analysis.

  18. The development of an automated ward independent delirium risk prediction model.

    PubMed

    de Wit, Hugo A J M; Winkens, Bjorn; Mestres Gonzalvo, Carlota; Hurkens, Kim P G M; Mulder, Wubbo J; Janknegt, Rob; Verhey, Frans R; van der Kuy, Paul-Hugo M; Schols, Jos M G A

    2016-08-01

    Background A delirium is common in hospital settings resulting in increased mortality and costs. Prevention of a delirium is clearly preferred over treatment. A delirium risk prediction model can be helpful to identify patients at risk of a delirium, allowing the start of preventive treatment. Current risk prediction models rely on manual calculation of the individual patient risk. Objective The aim of this study was to develop an automated ward independent delirium riskprediction model. To show that such a model can be constructed exclusively from electronically available risk factors and thereby implemented into a clinical decision support system (CDSS) to optimally support the physician to initiate preventive treatment. Setting A Dutch teaching hospital. Methods A retrospective cohort study in which patients, 60 years or older, were selected when admitted to the hospital, with no delirium diagnosis when presenting, or during the first day of admission. We used logistic regression analysis to develop a delirium predictive model out of the electronically available predictive variables. Main outcome measure A delirium risk prediction model. Results A delirium risk prediction model was developed using predictive variables that were significant in the univariable regression analyses. The area under the receiver operating characteristics curve of the "medication model" model was 0.76 after internal validation. Conclusions CDSSs can be used to automatically predict the risk of a delirium in individual hospitalised patients' by exclusively using electronically available predictive variables. To increase the use and improve the quality of predictive models, clinical risk factors should be documented ready for automated use. PMID:27177868

  19. Mortality of Inshore Marine Mammals in Eastern Australia Is Predicted by Freshwater Discharge and Air Temperature

    PubMed Central

    Meager, Justin J.; Limpus, Colin

    2014-01-01

    Understanding environmental and climatic drivers of natural mortality of marine mammals is critical for managing populations effectively and for predicting responses to climate change. Here we use a 17-year dataset to demonstrate a clear relationship between environmental forcing and natural mortality of inshore marine mammals across a subtropical-tropical coastline spanning a latitudinal gradient of 13° (>2000 km of coastline). Peak mortality of inshore dolphins and dugongs followed sustained periods of elevated freshwater discharge (9 months) and low air temperature (3 months). At a regional scale, these results translated into a strong relationship between annual mortality and an index of El Niño-Southern Oscillation. The number of cyclones crossing the coastline had a comparatively weak effect on inshore marine mammal mortality, and only in the tropics. Natural mortality of offshore/migratory cetaceans was not predicted by freshwater discharge, but was related to lagged air temperature. These results represent the first quantitative link between environmental forcing and marine mammal mortality in the tropics, and form the basis of a predictive tool for managers to prepare responses to periods of elevated marine mammal mortality. PMID:24740149

  20. Mortality of inshore marine mammals in eastern Australia is predicted by freshwater discharge and air temperature.

    PubMed

    Meager, Justin J; Limpus, Colin

    2014-01-01

    Understanding environmental and climatic drivers of natural mortality of marine mammals is critical for managing populations effectively and for predicting responses to climate change. Here we use a 17-year dataset to demonstrate a clear relationship between environmental forcing and natural mortality of inshore marine mammals across a subtropical-tropical coastline spanning a latitudinal gradient of 13° (>2000 km of coastline). Peak mortality of inshore dolphins and dugongs followed sustained periods of elevated freshwater discharge (9 months) and low air temperature (3 months). At a regional scale, these results translated into a strong relationship between annual mortality and an index of El Niño-Southern Oscillation. The number of cyclones crossing the coastline had a comparatively weak effect on inshore marine mammal mortality, and only in the tropics. Natural mortality of offshore/migratory cetaceans was not predicted by freshwater discharge, but was related to lagged air temperature. These results represent the first quantitative link between environmental forcing and marine mammal mortality in the tropics, and form the basis of a predictive tool for managers to prepare responses to periods of elevated marine mammal mortality. PMID:24740149

  1. Which metric of ambient ozone to predict daily mortality?

    NASA Astrophysics Data System (ADS)

    Moshammer, Hanns; Hutter, Hans-Peter; Kundi, Michael

    2013-02-01

    It is well known that ozone concentration is associated with daily cause specific mortality. But which ozone metric is the best predictor of the daily variability in mortality? We performed a time series analysis on daily deaths (all causes, respiratory and cardiovascular causes as well as death in elderly 65+) in Vienna for the years 1991-2009. We controlled for seasonal and long term trend, day of the week, temperature and humidity using the same basic model for all pollutant metrics. We found model fit was best for same day variability of ozone concentration (calculated as the difference between daily hourly maximum and minimum) and hourly maximum. Of these the variability displayed a more linear dose-response function. Maximum 8 h moving average and daily mean value performed not so well. Nitrogen dioxide (daily mean) in comparison performed better when previous day values were assessed. Same day ozone and previous day nitrogen dioxide effect estimates did not confound each other. Variability in daily ozone levels or peak ozone levels seem to be a better proxy of a complex reactive secondary pollutant mixture than daily average ozone levels in the Middle European setting. If this finding is confirmed this would have implications for the setting of legally binding limit values.

  2. Prediction of Cancer Incidence and Mortality in Korea, 2016

    PubMed Central

    Jung, Kyu-Won; Won, Young-Joo; Oh, Chang-Mo; Kong, Hyun-Joo; Cho, Hyunsoon; Lee, Jong-Keun; Lee, Duk Hyoung; Lee, Kang Hyun

    2016-01-01

    Purpose: To estimate of Korea’s current cancer burden, this study aimed to report on projected cancer incidence and mortality rates for the year 2016. Materials and Methods: Cancer incidence data from 1999 to 2013 were obtained from the Korea National Cancer Incidence Database, and cancer mortality data from 1993 to 2014 were acquired from Statistics Korea. Cancer incidence in 2016 was projected by fitting a linear regression model to observed age-specific cancer incidence rates against observed years, then multiplying the projected age-specific rates by the age-specific population. The Joinpoint regression model was used to determine at which year the linear trend changed significantly. Results: A total of 254,962 new cancer cases and 75,172 cancer deaths are expected to occur in Korea in 2016. The five leading primary cancer incident sites in 2016 were estimated colorectal, stomach, lung, liver and thyroid cancer in men; thyroid, breast, colorectal, stomach, and lung cancer in women. Conclusion: Currently cancer is one of the foremost public health concerns in Korea. Although cancer rates are anticipated to decrease the nation’s cancer burden will continue to increase as the population ages. PMID:27034143

  3. Echocardiographic Assessment of Estimated Right Atrial Pressure and Size Predicts Mortality in Pulmonary Arterial Hypertension

    PubMed Central

    Austin, Christopher; Alassas, Khadija; Burger, Charles; Safford, Robert; Pagan, Ricardo; Duello, Katherine; Kumar, Preetham; Zeiger, Tonya

    2015-01-01

    BACKGROUND: Elevated mean right atrial pressure (RAP) measured by cardiac catheterization is an independent risk factor for mortality. Prior studies have demonstrated a modest correlation with invasive and noninvasive echocardiographic RAP, but the prognostic impact of estimated right atrial pressure (eRAP) has not been previously evaluated in patients with pulmonary arterial hypertension (PAH). METHODS: A retrospective analysis of 121 consecutive patients with PAH based on right-sided heart catheterization and echocardiography was performed. The eRAP was calculated by inferior vena cava diameter and collapse using 2005 and 2010 American Society of Echocardiography (ASE) definitions. Accuracy and correlation of eRAP to RAP was assessed. Kaplan-Meier survival analysis by eRAP, right atrial area, and Registry to Evaluate Early and Long-term PAH Disease Management (REVEAL Registry) risk criteria as well as univariate and multivariate analysis of echocardiographic findings was performed. RESULTS: Elevation of eRAP was associated with decreased survival time compared with lower eRAP (P < .001, relative risk = 7.94 for eRAP > 15 mm Hg vs eRAP ≤ 5 mm Hg). Univariate analysis of echocardiographic parameters including eRAP > 15 mm Hg, right atrial area > 18 cm2, presence of pericardial effusion, right ventricular fractional area change < 35%, and at least moderate tricuspid regurgitation was predictive of poor survival. However, multivariate analysis revealed that eRAP > 15 mm Hg was the only echocardiographic risk factor that was predictive of mortality (hazard ratio = 2.28, P = .037). CONCLUSIONS: Elevation of eRAP by echocardiography at baseline assessment was strongly associated with increased risk of death or transplant in patients with PAH. This measurement may represent an important prognostic component in the comprehensive echocardiographic evaluation of PAH. PMID:25211049

  4. Hearing, mobility, and pain predict mortality: a longitudinal population-based study

    PubMed Central

    Feeny, David; Huguet, Nathalie; McFarland, Bentson H.; Kaplan, Mark S.; Orpana, Heather; Eckstrom, Elizabeth

    2012-01-01

    Objective Measures of health-related quality of life (HRQL), including the Health Utilities Index Mark 3 (HUI3) are predictive of mortality. HUI3 includes eight attributes, vision, hearing, speech, ambulation, dexterity, cognition, emotion, and pain and discomfort, with five or six levels per attribute that vary from no to severe disability. This study examined associations between individual HUI3 attributes and mortality. Study Design and Setting Baseline data and 12 years of follow-up data from a closed longitudinal cohort study, the 1994/95 Canadian National Population Health Survey, consisting of 12,375 women and men aged 18 and older. A priori hypotheses were that ambulation, cognition, emotion, and pain would predict mortality. Cox proportional hazards regression models were applied controlling for standard determinants of health and risk factors. Results Single-attribute utility scores for ambulation (hazard ratio [HR] = 0.10; 0.04–0.22), hearing (HR = 0.18; 0.06–0.57), and pain (HR = 0.53; 0.29–0.96) were statistically significantly associated with an increased risk of mortality; ambulation and hearing were predictive for the 60+ cohort. Conclusion Few studies have identified hearing or pain as risk factors for mortality. This study is innovative because it identifies specific components of HRQL that predict mortality. Further research is needed to understand better the mechanisms through which deficits in hearing and pain affect mortality risks. PMID:22521576

  5. Predicting One-Year Mortality in Peritoneal Dialysis Patients: An Analysis of the China Peritoneal Dialysis Registry

    PubMed Central

    Cao, Xue-Ying; Zhou, Jian-Hui; Cai, Guang-Yan; Tan, Ni-Na; Huang, Jing; Xie, Xiang-Cheng; Tang, Li; Chen, Xiang-Mei

    2015-01-01

    This study aims to investigate basic clinical features of peritoneal dialysis (PD) patients, their prognostic risk factors, and to establish a prognostic model for predicting their one-year mortality. A national multi-center cohort study was performed. A total of 5,405 new PD cases from China Peritoneal Dialysis Registry in 2012 were enrolled in model group. All these patients had complete baseline data and were followed for one year. Demographic and clinical features of these patients were collected. Cox proportional hazards regression model was used to analyze prognostic risk factors and establish prognostic model. A validation group was established using 1,764 new PD cases between January 1, 2013 and July 1, 2013, and to verify accuracy of prognostic model. Results indicated that model group included 4,453 live PD cases and 371 dead cases. Multivariate survival analysis showed that diabetes mellitus (DM), residual glomerular filtration rate (rGFR), , SBP, Kt/V, high PET type and Alb were independently associated with one-year mortality. Model was statistically significant in both within-group verification and outside-group verification. In conclusion, DM, rGFR, SBP, Kt/V, high PET type and Alb were independent risk factors for short-term mortality in PD patients. Prognostic model established in this study accurately predicted risk of short-term death in PD patients. PMID:26019685

  6. Use of early indicators in rehabilitation process to predict one-year mortality in elderly hip fracture patients.

    PubMed

    Dubljanin-Raspopović, Emilija; Markovic Denić, Ljiljana; Marinković, Jelena; Grajić, Mirko; Tomanovic Vujadinović, Sanja; Bumbaširević, Marko

    2012-01-01

    Hip fractures remain one of the most devastating injuries in the elderly. Early prediction of outcome following hip fracture potentially results in more efficient health care. The aims of this study were to explore predictors of ambulation status at hospital discharge in patients ≥65 years of age operated on for fracture of the hip, and to investigate the impact of ambulation status at hospital discharge on 1-year mortality after hip fracture. We studied 344 patients who underwent surgery for hip fracture during a 12 month period. Multivariate regression analysis was used to explore predictive factors for ambulatory status at discharge, and 1-year mortality adjusted on important baseline variables. Cumulative 1-year mortality was significantly lower for patients in the ambulatory group when compared to patients in the non-ambulatory group. Patients who were older, had severe cognitive impairment, lower functional level before injury, and in whom postoperative delirium and pressure ulcers occurred had a higher chance of not recovering their gait ability at hospital discharge, and being dead 1 year after hip fracture. Inability to walk at hospital discharge and presence of delirium are independent predictors of 1-year mortality. Every effort should be made to assure early mobilisation after hip fracture surgery, and prevention, prompt recognition and treatment of postoperative complications is important in order to facilitate better short-and long-term outcome. PMID:23233176

  7. Heart rate multiscale entropy at three hours predicts hospital mortality in 3,154 trauma patients.

    PubMed

    Norris, Patrick R; Anderson, Steven M; Jenkins, Judith M; Williams, Anna E; Morris, John A

    2008-07-01

    Complexity is a measure of variation and randomness potentially indicating improvement or deterioration in critically ill patients. Previously, we have shown integer heart rate (HR) multiscale entropy (MSE), an indicator of complexity, predicts death based on long duration (12 h) and dense (>or=0.4 Hz) windows of HR data. However, such restrictions reduce the use of MSE in the clinical setting. We hypothesized MSE predicts death using HR data of shorter duration and lower density. During the initial 24 h of intensive care unit stay, 3,154 patients had at least 3 h of continuous integer HR sampled. The first continuous window of 3, 6, 9, and 12 h was selected for each patient regardless of density, and an open-source MSE algorithm was applied (M. Costa, www.physionet.org; m = 2; r = 0.15). Risk of death based on MSE, alone and with covariates (age, sex, injury severity score), was assessed using randomly selected logistic regression in half of the cases. Area under the receiver operator curve (AUC) was computed in the other half in subgroups having various durations and densities of HR data. At days 2.3 (median) and 4.9 (mean), 441 patients (14%) died. Multiscale entropy stratified patients by mortality and was an independent predictor of death using 3 h or more of data. Multiscale entropy alone (AUC = 0.66 - 0.71) predicted death comparably to covariates alone (AUC = 0.72). We conclude: (1) Heart rate MSE within hours of admission predicts death occurring days later. (2) Multiscale entropy is robust to variation in bedside data duration and density occurring in a working intensive care unit. (3) Complexity may be a new clinical biomarker of outcome. PMID:18323736

  8. Usefulness of Fragmented QRS Complex to Predict Arrhythmic Events and Cardiovascular Mortality in Patients With Noncompaction Cardiomyopathy.

    PubMed

    Cetin, Mehmet Serkan; Ozcan Cetin, Elif Hande; Canpolat, Ugur; Cay, Serkan; Topaloglu, Serkan; Temizhan, Ahmet; Aydogdu, Sinan

    2016-05-01

    We aimed to evaluate the prevalence and prognostic role of fragmented QRS complex (fQRS) in predicting arrhythmic events and cardiovascular mortality in patients with noncompaction cardiomyopathy (NCC). A total of 88 patients (64.8% men, mean age 38.6 ± 17.7 years) with the diagnosis of NCC were enrolled. Median follow-up time was 42.4 months. The fQRS was defined as the presence of ≥1 additional R wave (R') or notch on the R/S waves in ≥2 contiguous leads representing anterior (V1 to V5), inferior (II, III, and aVF), or lateral (I, aVL, and V6) myocardial segments. Compared to patients without fQRS group, patients with fQRS (fQRS (+) group) showed higher rates for total arrhythmic events, ventricular tachycardia, bradyarrhythmia requiring pacemaker, sudden cardiac death, cardiovascular mortality, and all-cause mortality. The cut-off point of ≥3 leads for the fQRS was the optimal point discriminating an arrhythmic event and cardiovascular mortality. In Kaplan-Meier survival analysis, total arrhythmic events and cardiovascular mortality occurred more frequently in the fQRS (+) group. In multivariate Cox proportional hazard regression analysis, after adjusting for other confounding factors, the presence of fQRS were found to be as an independent predictor of arrhythmic events (hazard ratio 3.850, 95% CI 1.062 to 9.947, p = 0.002) and cardiovascular mortality (hazard ratio 2.719, 95% CI 1.494 to 9.262, p = 0.005). In conclusion, the presence of fQRS complex, as a simple and feasible electrocardiographic marker, seems to be a novel predictor of arrhythmic events and cardiovascular mortality in patients with NCC. This simple parameter may be used in identifying patients at high risk for arrhythmic events and so individualization of specific therapies can be applied. PMID:26979479

  9. Pleural cancer mortality in Spain: time-trends and updating of predictions up to 2020

    PubMed Central

    2013-01-01

    Background A total of 2,514,346 metric tons (Mt) of asbestos were imported into Spain from 1906 until the ban on asbestos in 2002. Our objective was to study pleural cancer mortality trends as an indicator of mesothelioma mortality and update mortality predictions for the periods 2011–2015 and 2016–2020 in Spain. Methods Log-linear Poisson models were fitted to study the effect of age, period of death and birth cohort (APC) on mortality trends. Change points in cohort- and period-effect curvatures were assessed using segmented regression. Fractional power-link APC models were used to predict mortality until 2020. In addition, an alternative model based on national asbestos consumption figures was also used to perform long-term predictions. Results Pleural cancer deaths increased across the study period, rising from 491 in 1976–1980 to 1,249 in 2006–2010. Predictions for the five-year period 2016–2020 indicated a total of 1,319 pleural cancer deaths (264 deaths/year). Forecasts up to 2020 indicated that this increase would continue, though the age-adjusted rates showed a levelling-off in male mortality from 2001 to 2005, corresponding to the lower risk in post-1960 generations. Among women, rates were lower and the mortality trend was also different, indicating that occupational exposure was possibly the single factor having most influence on pleural cancer mortality. Conclusion The cancer mortality-related consequences of human exposure to asbestos are set to persist and remain in evidence until the last surviving members of the exposed cohorts have disappeared. It can thus be assumed that occupationally-related deaths due to pleural mesothelioma will continue to occur in Spain until at least 2040. PMID:24195451

  10. Free Thyroxine Level as an Independent Predictor of Infection-Related Mortality in Patients on Peritoneal Dialysis: A Prospective Multicenter Cohort Study

    PubMed Central

    Jang, Hye Min; Kim, Yon Su; Kang, Shin-Wook; Yang, Chul Woo; Kim, Nam-Ho; Choi, Ji-Young; Park, Sun-Hee; Kim, Chan-Duck; Kim, Yong-Lim

    2014-01-01

    Background Previous studies have reported the relationship between thyroid hormone levels and mortality in dialysis patients. However, little is known about the association of free thyroxine (fT4) and mortality in patients on peritoneal dialysis (PD). This study investigated the association between basal and annual variation in fT4 level and mortality in PD patients. Methods Patients on maintenance PD were enrolled from a prospective multicenter cohort study in Korea; their serum triiodothyronine, fT4, and thyroid-stimulating hormone levels were measured 12 months apart. Patients with overt thyroid disease and those receiving thyroid hormone replacement therapy were excluded from the analysis. Patients were divided into two groups based on the median levels of fT4. The differences of all-cause, infection-related, and cardiovascular mortalities were analyzed between the two groups. The association of basal levels and annual variation with mortality was investigated with Kaplan–Meier curves and Cox proportional hazard models. Results Among 235 PD patients, 31 (13.2%) deaths occurred during the mean follow-up period of 24 months. Infection (38.7%) was the most common cause of death. Lower basal fT4 levels were an independent predictor of all-cause and infection-related death (hazard ratio [HR] = 2.74, 95% confidence interval [CI] 1.27–5.90, P = 0.01, and HR = 6.33, 95% CI 1.16–34.64, P = 0.03, respectively). Longitudinally, patients with persistently lower fT4 levels during the 12-month period had significantly higher all-cause mortality than those with persistently higher levels (HR = 3.30, 95% CI 1.15–9.41, P = 0.03). The area under the receiver operating characteristic curve of fT4 for predicting all-cause and infection-related mortality was 0.60 and 0.68, respectively. Conclusions fT4 level is an independent predictor of mortality and is especially attributable to infection in PD patients. This predictor was consistent when

  11. Multivariate prediction of total and cardiovascular mortality in an obese Polynesian population.

    PubMed

    Crews, D E

    1989-08-01

    The effects of body weight and blood pressure on the risk of total mortality and mortality from cardiovascular diseases (CVD) were examined in a prospective sample of 5,866 adult residents of American Samoa, a Polynesian population noted for exhibiting high levels of obesity. Data collected during 1975-76 were linked to mortality records from 1976 through 1981. In logistic regression models which did not include blood pressure, percent of desirable weight was an important risk factor for mortality from CVD, but it was not an important risk factor when diastolic blood pressure was included in the model. Percent of desirable weight was not related to mortality from all causes combined in either Samoan men or women. Age and diastolic blood pressure were predictors of total and CVD mortality in men and women. These results, in an obese population, suggest that body weight and obesity are not independently related to excess mortality in the very obese, although they may associate with high blood pressure. These results also suggest that relations between physiological characteristics and mortality may vary with cultural, genetic, or other factors not examined in this study. PMID:2751036

  12. A satellite mortality study to support space systems lifetime prediction

    NASA Astrophysics Data System (ADS)

    Fox, George; Salazar, Ronald; Habib-Agahi, Hamid; Dubos, Gregory F.

    Estimating the operational lifetime of satellites and spacecraft is a complex process. Operational lifetime can differ from mission design lifetime for a variety of reasons. Unexpected mortality can occur due to human errors in design and fabrication, to human errors in launch and operations, to random anomalies of hardware and software or even satellite function degradation or technology change, leading to unrealized economic or mission return. This study focuses on data collection of public information using, for the first time, a large, publically available dataset, and preliminary analysis of satellite lifetimes, both operational lifetime and design lifetime. The objective of this study is the illustration of the relationship of design life to actual lifetime for some representative classes of satellites and spacecraft. First, a Weibull and Exponential lifetime analysis comparison is performed on the ratio of mission operating lifetime to design life, accounting for terminated and ongoing missions. Next a Kaplan-Meier survivor function, standard practice for clinical trials analysis, is estimated from operating lifetime. Bootstrap resampling is used to provide uncertainty estimates of selected survival probabilities. This study highlights the need for more detailed databases and engineering reliability models of satellite lifetime that include satellite systems and subsystems, operations procedures and environmental characteristics to support the design of complex, multi-generation, long-lived space systems in Earth orbit.

  13. A Satellite Mortality Study to Support Space Systems Lifetime Prediction

    NASA Technical Reports Server (NTRS)

    Fox, George; Salazar, Ronald; Habib-Agahi, Hamid; Dubos, Gregory

    2013-01-01

    Estimating the operational lifetime of satellites and spacecraft is a complex process. Operational lifetime can differ from mission design lifetime for a variety of reasons. Unexpected mortality can occur due to human errors in design and fabrication, to human errors in launch and operations, to random anomalies of hardware and software or even satellite function degradation or technology change, leading to unrealized economic or mission return. This study focuses on data collection of public information using, for the first time, a large, publically available dataset, and preliminary analysis of satellite lifetimes, both operational lifetime and design lifetime. The objective of this study is the illustration of the relationship of design life to actual lifetime for some representative classes of satellites and spacecraft. First, a Weibull and Exponential lifetime analysis comparison is performed on the ratio of mission operating lifetime to design life, accounting for terminated and ongoing missions. Next a Kaplan-Meier survivor function, standard practice for clinical trials analysis, is estimated from operating lifetime. Bootstrap resampling is used to provide uncertainty estimates of selected survival probabilities. This study highlights the need for more detailed databases and engineering reliability models of satellite lifetime that include satellite systems and subsystems, operations procedures and environmental characteristics to support the design of complex, multi-generation, long-lived space systems in Earth orbit.

  14. Mortality Prediction in Patients Undergoing Non-Invasive Ventilation in Intermediate Care

    PubMed Central

    Martinez-Urbistondo, Diego; Alegre, Félix; Carmona-Torre, Francisco; Huerta, Ana; Fernandez-Ros, Nerea; Landecho, Manuel Fortún; García-Mouriz, Alberto; Núñez-Córdoba, Jorge M.; García, Nicolás; Quiroga, Jorge; Lucena, Juan Felipe

    2015-01-01

    Background Intermediate Care Units (ImCU) have become an alternative scenario to perform Non-Invasive Ventilation (NIV). The limited number of prognostic studies in this population support the need of mortality prediction evaluation in this context. Objective The objective of this study is to analyze the performance of Simplified Acute Physiology Score (SAPS) II and 3 in patients undergoing NIV in an ImCU. Additionally, we searched for new variables that could be useful to customize these scores, in order to improve mortality prediction. Design Cohort study with prospectively collected data from all patients admitted to a single center ImCU who received NIV. The SAPS II and 3 scores with their respective predicted mortality rates were calculated. Discrimination and calibration were evaluated by calculating the area under the receiver operating characteristic curve (AUC) and with the Hosmer-Lemeshow goodness of fit test for the models, respectively. Binary logistic regression was used to identify new variables to customize the scores for mortality prediction in this setting. Patients The study included 241 patients consecutively admitted to an ImCU staffed by hospitalists from April 2006 to December 2013. Key Results The observed in-hospital mortality was 32.4% resulting in a Standardized Mortality Ratio (SMR) of 1.35 for SAPS II and 0.68 for SAPS 3. Mortality discrimination based on the AUC was 0.73 for SAPS II and 0.69 for SAPS 3. Customized models including immunosuppression, chronic obstructive pulmonary disease (COPD), acute pulmonary edema (APE), lactic acid, pCO2 and haemoglobin levels showed better discrimination than old scores with similar calibration power. Conclusions These results suggest that SAPS II and 3 should be customized with additional patient-risk factors to improve mortality prediction in patients undergoing NIV in intermediate care. PMID:26436420

  15. Development and validation of a predictive mortality risk score from a European hemodialysis cohort

    PubMed Central

    Floege, Jürgen; Gillespie, Iain A; Kronenberg, Florian; Anker, Stefan D; Gioni, Ioanna; Richards, Sharon; Pisoni, Ronald L; Robinson, Bruce M; Marcelli, Daniele; Froissart, Marc; Eckardt, Kai-Uwe

    2015-01-01

    Although mortality risk scores for chronic hemodialysis (HD) patients should have an important role in clinical decision-making, those currently available have limited applicability, robustness, and generalizability. Here we applied a modified Framingham Heart Study approach to derive 1- and 2-year all-cause mortality risk scores using a 11,508 European incident HD patient database (AROii) recruited between 2007 and 2009. This scoring model was validated externally using similar-sized Dialysis Outcomes and Practice Patterns Survey (DOPPS) data. For AROii, the observed 1- and 2-year mortality rates were 13.0 (95% confidence interval (CI; 12.3–13.8)) and 11.2 (10.4–12.1)/100 patient years, respectively. Increasing age, low body mass index, history of cardiovascular disease or cancer, and use of a vascular access catheter during baseline were consistent predictors of mortality. Among baseline laboratory markers, hemoglobin, ferritin, C-reactive protein, serum albumin, and creatinine predicted death within 1 and 2 years. When applied to the DOPPS population, the predictive risk score models were highly discriminatory, and generalizability remained high when restricted by incidence/prevalence and geographic location (C-statistics 0.68–0.79). This new model offers improved predictive power over age/comorbidity-based models and also predicted early mortality (C-statistic 0.71). Our new model delivers a robust and reproducible mortality risk score, based on readily available clinical and laboratory data. PMID:25651366

  16. Predictive Factors of Hospital Mortality Due to Myocardial Infarction: A Multilevel Analysis of Iran's National Data

    PubMed Central

    Ahmadi, Ali; Soori, Hamid; Mehrabi, Yadollah; Etemad, Koorosh; Sajjadi, Homeira; Sadeghi, Mehraban

    2015-01-01

    Background: Regarding failure to establish the statistical presuppositions for analysis of the data by conventional approaches, hierarchical structure of the data as well as the effect of higher-level variables, this study was conducted to determine the factors independently associated with hospital mortality due to myocardial infarction (MI) in Iran using a multilevel analysis. Methods: This study was a national, hospital-based, and cross-sectional study. In this study, the data of 20750 new MI patients between April, 2012 and March, 2013 in Iran were used. The hospital mortality due to MI was considered as the dependent variable. The demographic data, clinical and behavioral risk factors at the individual level and environmental data were gathered. Multilevel logistic regression models with Stata software were used to analyze the data. Results: Within 1-year of study, the frequency (%) of hospital mortality within 30 days of admission was derived 2511 (12.1%) patients. The adjusted odds ratio (OR) of mortality with (95% confidence interval [CI]) was derived 2.07 (95% CI: 1.5–2.8) for right bundle branch block, 1.5 (95% CI: 1.3–1.7) for ST-segment elevation MI, 1.3 (95% CI: 1.1–1.4) for female gender, and 1.2 (95% CI: 1.1–1.3) for humidity, all of which were considered as risk factors of mortality. But, OR of mortality was 0.7 for precipitation (95% CI: 0.7–0.8) and 0.5 for angioplasty (95% CI: 0.4–0.6) were considered as protective factors of mortality. Conclusions: Individual risk factors had independent effects on the hospital mortality due to MI. Variables in the province level had no significant effect on the outcome of MI. Increasing access and quality to treatment could reduce the mortality due to MI. PMID:26730342

  17. The Low Fall as a Surrogate Marker of Frailty Predicts Long-Term Mortality in Older Trauma Patients

    PubMed Central

    Wong, Ting Hway; Nguyen, Hai V.; Chiu, Ming Terk; Chow, Khuan Yew; Ong, Marcus Eng Hock; Lim, Gek Hsiang; Nadkarni, Nivedita Vikas; Bautista, Dianne Carrol Tan; Cheng, Jolene Yu Xuan; Loo, Lynette Mee Ann; Seow, Dennis Chuen Chai

    2015-01-01

    Background Frailty is associated with adverse outcomes including disability, mortality and risk of falls. Trauma registries capture a broad range of injuries. However, frail patients who fall comprise a large proportion of the injuries occurring in ageing populations and are likely to have different outcomes compared to non-frail injured patients. The effect of frail fallers on mortality is under-explored but potentially significant. Currently, many trauma registries define low falls as less than three metres, a height that is likely to include non-frailty falls. We hypothesized that the low fall from less than 0.5 metres, including same-level falls, is a surrogate marker of frailty and predicts long-term mortality in older trauma patients. Methods Using data from the Singapore National Trauma Registry, 2011–2013, matched till September 2014 to the death registry, we analysed adults aged over 45 admitted via the emergency department in public hospitals sustaining blunt injuries with an injury severity score (ISS) of 9 or more, excluding isolated hip fractures from same-level falls in the over 65. Patients injured by a low fall were compared to patients injured by high fall and other blunt mechanisms. Logistic regression was used to analyze 12-month mortality, controlling for mechanism of injury, ISS, revised trauma score (RTS), co-morbidities, gender, age and age-gender interaction. Different low fall height definitions, adjusting for injury regions, and analyzing the entire adult cohort were used in sensitivity analyses and did not change our findings. Results Of the 8111 adults in our cohort, patients who suffered low falls were more likely to die of causes unrelated to their injuries (p<0.001), compared to other blunt trauma and higher fall heights. They were at higher risk of 12-month mortality (OR 1.75, 95% CI 1.18–2.58, p = 0.005), independent of ISS, RTS, age, gender, age-gender interaction and co-morbidities. Falls that were higher than 0.5m did not

  18. Early Standard Electroencephalogram Abnormalities Predict Mortality in Septic Intensive Care Unit Patients

    PubMed Central

    Azabou, Eric; Magalhaes, Eric; Braconnier, Antoine; Yahiaoui, Lyria; Moneger, Guy; Heming, Nicholas; Annane, Djillali; Mantz, Jean; Chrétien, Fabrice; Durand, Marie-Christine; Lofaso, Frédéric; Porcher, Raphael; Sharshar, Tarek

    2015-01-01

    Introduction Sepsis is associated with increased mortality, delirium and long-term cognitive impairment in intensive care unit (ICU) patients. Electroencephalogram (EEG) abnormalities occurring at the acute stage of sepsis may correlate with severity of brain dysfunction. Predictive value of early standard EEG abnormalities for mortality in ICU septic patients remains to be assessed. Methods In this prospective, single center, observational study, standard EEG was performed, analyzed and classified according to both Synek and Young EEG scales, in consecutive patients acutely admitted in ICU for sepsis. Delirium, coma and the level of sedation were assessed at the time of EEG recording; and duration of sedation, occurrence of in-ICU delirium or death were assessed during follow-up. Adjusted analyses were carried out using multiple logistic regression. Results One hundred ten patients were included, mean age 63.8 (±18.1) years, median SAPS-II score 38 (29–55). At the time of EEG recording, 46 patients (42%) were sedated and 22 (20%) suffered from delirium. Overall, 54 patients (49%) developed delirium, of which 32 (29%) in the days after EEG recording. 23 (21%) patients died in the ICU. Absence of EEG reactivity was observed in 27 patients (25%), periodic discharges (PDs) in 21 (19%) and electrographic seizures (ESZ) in 17 (15%). ICU mortality was independently associated with a delta-predominant background (OR: 3.36; 95% CI [1.08 to 10.4]), absence of EEG reactivity (OR: 4.44; 95% CI [1.37–14.3], PDs (OR: 3.24; 95% CI [1.03 to 10.2]), Synek grade ≥ 3 (OR: 5.35; 95% CI [1.66–17.2]) and Young grade > 1 (OR: 3.44; 95% CI [1.09–10.8]) after adjustment to Simplified Acute Physiology Score (SAPS-II) at admission and level of sedation. Delirium at the time of EEG was associated with ESZ in non-sedated patients (32% vs 10%, p = 0.037); with Synek grade ≥ 3 (36% vs 7%, p< 0.05) and Young grade > 1 (36% vs 17%, p< 0.001). Occurrence of delirium in the days after

  19. Modified IDSA/ATS Minor Criteria for Severe Community-Acquired Pneumonia Best Predicted Mortality

    PubMed Central

    Li, Hai-yan; Guo, Qi; Song, Wei-dong; Zhou, Yi-ping; Li, Ming; Chen, Xiao-ke; Liu, Hui; Peng, Hong-lin; Yu, Hai-qiong; Chen, Xia; Liu, Nian; Lü, Zhong-dong; Liang, Li-hua; Zhao, Qing-zhou; Jiang, Mei

    2015-01-01

    Abstract It is not clear whether the IDSA/ATS minor criteria for severe community-acquired pneumonia (CAP) could be simplified or even be modified to orchestrate improvements in predicting mortality. A retrospective cohort study of 1230 CAP patients was performed to simplify and to modify the scoring system by excluding 4 noncontributory or infrequent variables (leukopenia, hypothermia, hypotension, and thrombocytopenia) and by excluding these variables and then adding age ≥65 years, respectively. The simplification and modification were tested against a prospective 2-center validation cohort of 1409 adults with CAP. The increasing numbers of IDSA/ATS, simplified, and modified minor criteria present in the retrospective cohort were positively associated with the mortality, showing significant increased odds ratios for mortality of 2.711, 4.095, and 3.755, respectively. The validation cohort confirmed a similar pattern. The sensitivity, specificity, positive predictive value, and Youden index of modified minor criteria for mortality prediction were the best pattern in the retrospective cohort. High values of corresponding indices were confirmed in the validation cohort. The highest accuracy of the modified version for predicting mortality in the retrospective cohort was illustrated by the highest area under the receiver operating characteristic curve of 0.925 (descending order: modified, simplified, and IDSA/ATS minor criteria). The validation cohort confirmed a similar paradigm. The IDSA/ATS minor criteria could be simplified to 5 variables and then be modified to orchestrate improvements in predicting mortality in CAP patients. The modified version best predicted mortality. These were more suitable for clinic and emergency department. PMID:26356705

  20. Multi-scale heart rate dynamics detected by phase-rectified signal averaging predicts mortality after acute myocardial infarction

    PubMed Central

    Kisohara, Masaya; Stein, Phyllis K.; Yoshida, Yutaka; Suzuki, Mari; Iizuka, Narushi; Carney, Robert M.; Watkins, Lana L.; Freedland, Kenneth E.; Blumenthal, James A.; Hayano, Junichiro

    2013-01-01

    Aims Acceleration and deceleration capacity (AC and DC) for beat-to-beat short-term heart rate dynamics are powerful predictors of mortality after acute myocardial infarction (AMI). We examined if AC and DC for minute-order long-term heart rate dynamics also have independent predictive value. Methods and results We studied 24-hr Holter electrcardiograms in 708 post-AMI patients who were followed up for up to 30 months thereafter. Acceleration capacity and DC was calculated with the time scales of T (window size defining heart rate) and s (wavelet scale) from 1 to 500 s and compared their prognostic values with conventional measures (ACconv and DCconv) that were calculated with (T,s) = [1,2 (beat)]. During the follow-up, 47 patients died. Both increased ACconv and decreased DCconv predicted mortality (C statistic, 0.792 and 0.797). Concordantly, sharp peaks of C statistics were observed at (T,s) = [2,7 (sec)] for both increased AC and decreased DC (0.762 and 0.768), but there were larger peaks of C statistics at around [30,60 (sec)] for both (0.783 and 0.796). The C statistic was greater for DC than AC at (30,60) (P = 0.0012). Deceleration capacity at (30,60) was a significant predictor even after adjusted for ACconv (P = 0.020) and DCconv (P = 0.028), but the predictive power of AC at (30,60) was no longer significant. Conclusion A decrease in DC for minute-order long-term heart rate dynamics is a strong predictor for post-AMI mortality and the predictive power is independent of ACconv and DCconv for beat-to-beat short-term heart rate dynamics. PMID:23248218

  1. Independent and joint effects of sedentary time and cardiorespiratory fitness on all-cause mortality: the Cooper Center Longitudinal Study

    PubMed Central

    Shuval, Kerem; Finley, Carrie E; Barlow, Carolyn E; Nguyen, Binh T; Njike, Valentine Y; Pettee Gabriel, Kelley

    2015-01-01

    Objectives To examine the independent and joint effects of sedentary time and cardiorespiratory fitness (fitness) on all-cause mortality. Design, setting, participants A prospective study of 3141 Cooper Center Longitudinal Study participants. Participants provided information on television (TV) viewing and car time in 1982 and completed a maximal exercise test during a 1-year time frame; they were then followed until mortality or through 2010. TV viewing, car time, total sedentary time and fitness were the primary exposures and all-cause mortality was the outcome. The relationship between the exposures and outcome was examined utilising Cox proportional hazard models. Results A total of 581 deaths occurred over a median follow-up period of 28.7 years (SD=4.4). At baseline, participants’ mean age was 45.0 years (SD=9.6), 86.5% were men and their mean body mass index was 24.6 (SD=3.0). Multivariable analyses revealed a significant linear relationship between increased fitness and lower mortality risk, even while adjusting for total sedentary time and covariates (p=0.02). The effects of total sedentary time on increased mortality risk did not quite reach statistical significance once fitness and covariates were adjusted for (p=0.05). When examining this relationship categorically, in comparison to the reference category (≤10 h/week), being sedentary for ≥23 h weekly increased mortality risk by 29% without controlling for fitness (HR=1.29, 95% CI 1.03 to 1.63); however, once fitness and covariates were taken into account this relationship did not reach statistical significance (HR=1.20, 95% CI 0.95 to 1.51). Moreover, spending >10 h in the car weekly significantly increased mortality risk by 27% in the fully adjusted model. The association between TV viewing and mortality was not significant. Conclusions The relationship between total sedentary time and higher mortality risk is less pronounced when fitness is taken into account. Increased car time, but

  2. Circulating desmosine levels do not predict emphysema progression but are associated with cardiovascular risk and mortality in COPD.

    PubMed

    Rabinovich, Roberto A; Miller, Bruce E; Wrobel, Karolina; Ranjit, Kareshma; Williams, Michelle C; Drost, Ellen; Edwards, Lisa D; Lomas, David A; Rennard, Stephen I; Agustí, Alvar; Tal-Singer, Ruth; Vestbo, Jørgen; Wouters, Emiel F M; John, Michelle; van Beek, Edwin J R; Murchison, John T; Bolton, Charlotte E; MacNee, William; Huang, Jeffrey T J

    2016-05-01

    Elastin degradation is a key feature of emphysema and may have a role in the pathogenesis of atherosclerosis associated with chronic obstructive pulmonary disease (COPD). Circulating desmosine is a specific biomarker of elastin degradation. We investigated the association between plasma desmosine (pDES) and emphysema severity/progression, coronary artery calcium score (CACS) and mortality.pDES was measured in 1177 COPD patients and 110 healthy control subjects from two independent cohorts. Emphysema was assessed on chest computed tomography scans. Aortic arterial stiffness was measured as the aortic-femoral pulse wave velocity.pDES was elevated in patients with cardiovascular disease (p<0.005) and correlated with age (rho=0.39, p<0.0005), CACS (rho=0.19, p<0.0005) modified Medical Research Council dyspnoea score (rho=0.15, p<0.0005), 6-min walking distance (rho=-0.17, p<0.0005) and body mass index, airflow obstruction, dyspnoea, exercise capacity index (rho=0.10, p<0.01), but not with emphysema, emphysema progression or forced expiratory volume in 1 s decline. pDES predicted all-cause mortality independently of several confounding factors (p<0.005). In an independent cohort of 186 patients with COPD and 110 control subjects, pDES levels were higher in COPD patients with cardiovascular disease and correlated with arterial stiffness (p<0.05).In COPD, excess elastin degradation relates to cardiovascular comorbidities, atherosclerosis, arterial stiffness, systemic inflammation and mortality, but not to emphysema or emphysema progression. pDES is a good biomarker of cardiovascular risk and mortality in COPD. PMID:27009168

  3. Predicted and observed mortality from vector-borne disease in small songbirds

    PubMed Central

    Kilpatrick, A. Marm; Peters, Ryan J.; Dupuis, Alan P.; Jones, Matthew J.; Marra, Peter P.; Kramer, Laura D.

    2013-01-01

    Numerous diseases of wildlife have recently emerged due to trade and travel. However, the impact of disease on wild animal populations has been notoriously difficult to detect and demonstrate, due to problems of attribution and the rapid disappearance of bodies after death. Determining the magnitude of avian mortality from West Nile virus (WNV) is emblematic of these challenges. Although correlational analyses may show population declines coincident with the arrival of the virus, strong inference of WNV as a cause of mortality or a population decline requires additional evidence. We show how integrating field data on mosquito feeding patterns, avian abundance, and seroprevalence can be used to predict relative mortality from vector-borne pathogens. We illustrate the method with a case study on WNV in three species of small songbirds, tufted titmouse (Baeolophus bicolor), Carolina wrens (Thryothorus ludovicianus), and northern cardinals (Cardinalis cardinalis). We then determined mortality, infectiousness, and behavioral response of wrens and titmouse following infection with WNV in laboratory experiments and compared them to a previous study on WNV mortality in cardinals. In agreement with predictions, we found titmouse had the highest mortality from WNV infection, with 100% of eleven birds perishing within seven days after infection. Mortality in wrens was significantly lower at 27% (3/11), but still substantial. Viremia profiles indicated that both species were highly infectious for WNV and could play roles in WNV amplification. These findings suggest that WNV may be killing many small-bodied birds, despite the absence of large numbers of dead birds testing positive for WNV. More broadly, they illustrate a framework for predicting relative mortality in hosts from vector-borne disease. PMID:23956457

  4. Predictive value of weight loss on mortality of HIV-positive mothers in a prolonged breastfeeding setting.

    PubMed

    Koyanagi, Ai; Humphrey, Jean H; Moulton, Lawrence H; Ntozini, Robert; Mutasa, Kuda; Iliff, Peter; Ruff, Andrea J

    2011-11-01

    HIV-positive lactating women may be at high risk of weight loss due to increased caloric requirements and postpartum physiological weight loss. Ten percent weight loss is associated with a higher risk of mortality in HIV-positive patients and this alone is a criterion for highly active antiretroviral therapy (HAART) initiation where CD4 counts are not available. However, no study has investigated this association in lactating postpartum women. We investigated whether 10% weight loss predicts death in postpartum HIV-positive women. A total of 9207 HIV-negative and 4495 HIV-positive mothers were recruited at delivery. Women were weighed at 6 weeks, 3 months, and every 3 months thereafter for up to 24 months postpartum and data on mortality up to 2 years were collected. The median duration of breastfeeding was longer than 18 months. Among HIV-positive women, the independent predictors of ≥10% weight loss were CD4 cell count, body mass index, and household income. Mortality was up to 7.12 (95% CI 3.47-14.61) times higher in HIV-positive women with ≥10% weight loss than those without weight loss. Ten percent weight loss in postpartum lactating HIV-positive women was significantly predictive of death. Our findings suggest that 10% weight loss is an appropriate criterion for HAART initiation among postpartum breastfeeding women. PMID:21226627

  5. STARD-compliant article: The utility of red cell distribution width to predict mortality for septic patients visiting the emergency department.

    PubMed

    Chen, Chun-Kuei; Lin, Shen-Che; Wu, Chin-Chieh; Chen, Li-Min; Tzeng, I-Shiang; Chen, Kuan-Fu

    2016-06-01

    Sepsis is a common condition in the emergency department that is associated with high mortality. Red blood cell distribution width (RDW) has been used as a simple prognosis predictor for patients with community-acquired pneumonia, gram-negative bacteremia, and severe sepsis or septic shock. To evaluate the performance of RDW to predict in-hospital mortality among septic patients, we conducted a hospital-based retrospective cohort study in an emergency department of a tertiary teaching hospital. RDW was compared with other commonly used clinical prediction scores (Systemic Inflammatory Response Syndrome (SIRS), Mortality in Emergency Department Sepsis (MEDS) and the Confusion, Urea nitrogen, Respiratory rate, Blood pressure, 65 years of age and older (CURB65)). Of 6973 consecutive adult patients with a clinical diagnosis of sepsis and 2 sets of blood culture ordered by physicians, 477 (6.8%) died. The mortality group had higher RDW levels than the survival group (15.7% vs 13.8%). After dividing RDW into quartiles, the patients in the highest RDW quartile (RDW >15.6%; mortality, 16.7%) had more than twice the risk of in-hospital mortality compared with patients in the second highest quartile (RDW >14% and <15.6%; mortality, 7.3%), whereas the mortality rate in the lowest RDW quartile (<13.1%) was only 1.6%. The area under the receiver operating characteristic curve of RDW to predict mortality was 0.75 (95% confidence interval, 0.72-0.77), which is significantly higher than the areas under the curve of clinical prediction rules (SIRS, MEDS, and CURB65). After integrating RDW into these scores, all scores performed better in predicting mortality (0.73, 0.72, and 0.77, for SIRS, MEDS, and CURB65, respectively). RDW could be an independent predictor of mortality among septic patients. Clinicians could classify the septic patients into different risk groups according to RDW quartiles. For more accurate mortality prediction, RDW could be a potential parameter to be

  6. Variable selection and regression analysis for the prediction of mortality rates associated with foodborne diseases.

    PubMed

    Amene, E; Hanson, L A; Zahn, E A; Wild, S R; Döpfer, D

    2016-07-01

    The purpose of this study was to apply a novel statistical method for variable selection and a model-based approach for filling data gaps in mortality rates associated with foodborne diseases using the WHO Vital Registration mortality dataset. Correlation analysis and elastic net regularization methods were applied to drop redundant variables and to select the most meaningful subset of predictors. Whenever predictor data were missing, multiple imputation was used to fill in plausible values. Cluster analysis was applied to identify similar groups of countries based on the values of the predictors. Finally, a Bayesian hierarchical regression model was fit to the final dataset for predicting mortality rates. From 113 potential predictors, 32 were retained after correlation analysis. Out of these 32 predictors, eight with non-zero coefficients were selected using the elastic net regularization method. Based on the values of these variables, four clusters of countries were identified. The uncertainty of predictions was large for countries within clusters lacking mortality rates, and it was low for a cluster that had mortality rate information. Our results demonstrated that, using Bayesian hierarchical regression models, a data-driven clustering of countries and a meaningful subset of predictors can be used to fill data gaps in foodborne disease mortality. PMID:26785774

  7. Role of sTREM-1 in predicting mortality of infection: a systematic review and meta-analysis

    PubMed Central

    Su, Longxiang; Liu, Dan; Chai, Wenzhao; Liu, Dawei; Long, Yun

    2016-01-01

    Objectives Several studies have investigated the prognostic value of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) in patients with infection. However, the result was controversial. Thus, the purpose of the present meta-analysis was to determine the prognostic value of the sTREM-1 level in predicting mortality at the initial stage of infection. Methods The literature was searched in the PubMed, EMBASE, Web of Knowledge and Cochrane databases. A 2×2 contingency table was constructed on the basis of mortality and sTREM-1 levels in patients with infection. 2 authors independently judged study eligibility and extracted data. The prognostic value of sTREM-1 in predicting mortality was determined using a bivariate meta-analysis model. Q-test and I2 index were used to test heterogeneity. Results 9 studies were selected from 803 studies. An elevated sTREM-1 level was associated with a higher risk of death in infection, with pooled risk ratio (RR) was 2.54 (95% CI 1.77 to 3.65) using a random-effects model (I2=53.8%). With the bivariate random-effects regression model, the pooled sensitivity and specificity of sTREM-1 to predict mortality in infection were 0.75 (95% CI 0.61 to 0.86) and 0.66 (95% CI 0.54 to 0.75), respectively. The diagnostic OR was 6 (95% CI 3 to 10). The overall area under the summary receiver operator characteristic (SROC) curve was 0.76 (95% CI 0.72 to 0.79). When we calculated the sepsis subgroup, the pooled RR was 2.98 (95% CI 2.19 to 4.40). The pooled sensitivity and specificity were 0.74 (95% CI 0.58 to 0.85) and 0.72 (95% CI 0.62 to 0.80), respectively. The overall area under the SROC curve was 0.78 (95% CI 0.74 to 0.81). Conclusions Elevated sTREM-1 concentrations had a moderate prognostic significance in assessing the mortality of infection in adult patients. However, sTREM-1 alone is insufficient to predict mortality as a biomarker. PMID:27178971

  8. Maternal health in fifty years of Tanzania independence: Challenges and opportunities of reducing maternal mortality.

    PubMed

    Shija, Angela E; Msovela, Judith; Mboera, Leonard E G

    2011-12-01

    High rate of maternal death is one of the major public health concerns in Tanzania. Most of maternal deaths are caused by factors attributed to pregnancy, childbirth and poor quality of health services. More than 80% of maternal deaths can be prevented if pregnant women access essential maternity care and assured of skilled attendance at childbirth as well as emergency obstetric care. The objective of this review was to analyse maternal mortality situation in Tanzania during the past 50 years and to identify efforts, challenges and opportunities of reducing it. This paper was written through desk review of key policy documents, technical reports, publications and available internet-based literature. From 1961 to 1990 maternal mortality ratio in Tanzania had been on a downward trend from 453 to 200 per 100,000 live births. However, from 1990's there been an increasing trend to 578 per 100,000 live births. Current statistics indicate that maternal mortality ratio has dropped slightly in 2010 to 454 per 100,000 live births. Despite a high coverage (96%) in pregnant women who attend at least one antenatal clinic, only half of the women (51%) have access to skilled delivery. Coverage of emergence obstetric services is 64.5% and utilization of modern family planning method is 27%. Only about 13% of home deliveries access post natal check-up. Despite a number of efforts maternal mortality is still unacceptably high. Some of the efforts done to reduce maternal mortality in Tanzania included the following initiatives: reproductive and child survival; increased skilled delivery; maternal death audit; coordination and integration of different programs including maternal and child health services, family planning, malaria interventions, expanded program on immunization and adolescent health and nutrition programmes. These initiatives are however challenged by inadequate access to maternal health care services. In order to considerably reduce maternal deaths some of recommended

  9. 30-day Mortality after Bariatric Surgery: Independently Adjudicated Causes of Death in the Longitudinal Assessment of Bariatric Surgery

    PubMed Central

    Smith, Mark D.; Patterson, Emma; Wahed, Abdus S.; Belle, Steven H.; Berk, Paul D.; Courcoulas, Anita P.; Dakin, Gregory F.; Flum, David R.; Machado, Laura; Mitchell, James E.; Pender, John; Pomp, Alfons; Pories, Walter; Ramanathan, Ramesh; Schrope, Beth; Staten, Myrlene; Ude, Akuezunkpa; Wolfe, Bruce M.

    2011-01-01

    Purpose Mortality following bariatric surgery is a rare event in contemporary series, making it difficult for any single center to draw meaningful conclusions as to cause of death. Nevertheless, much of the published mortality data come from single center case series and reviews of administrative databases. These sources tend to produce lower mortality estimates than those obtained from controlled clinical trials. Furthermore, information about the causes of death and how they were determined is not always available. The aim of the present report is to describe in detail all deaths occurring within 30-days of surgery in the Longitudinal Assessment of Bariatric Surgery (LABS). Methods LABS is a 10-center observational cohort study of bariatric surgical outcomes. Data were collected prospectively for bariatric surgeries performed between March 2005 and April 2009. All deaths occurring within 30-days of surgery were identified, and cause of death assigned by an independent Adjudication Subcommittee, blinded to operating surgeon and site. Results 6118 patients underwent primary bariatric surgery. 18 deaths (0.3%) occurred within 30-days of surgery. The most common cause of death was sepsis (33% of deaths), followed by cardiac causes (28%) and pulmonary embolism (17%). For one patient cause of death could not be determined despite examination of all available information. Conclusions This study confirms the low 30-day mortality rate following bariatric surgery. The recognized complications of anastomotic leak, cardiac events, and pulmonary emboli accounted for the majority of 30-day deaths. PMID:21866378

  10. Validation of the DECAF score to predict hospital mortality in acute exacerbations of COPD

    PubMed Central

    Echevarria, C; Steer, J; Heslop-Marshall, K; Stenton, SC; Hickey, PM; Hughes, R; Wijesinghe, M; Harrison, RN; Steen, N; Simpson, AJ; Gibson, GJ; Bourke, SC

    2016-01-01

    Background Hospitalisation due to acute exacerbations of COPD (AECOPD) is common, and subsequent mortality high. The DECAF score was derived for accurate prediction of mortality and risk stratification to inform patient care. We aimed to validate the DECAF score, internally and externally, and to compare its performance to other predictive tools. Methods The study took place in the two hospitals within the derivation study (internal validation) and in four additional hospitals (external validation) between January 2012 and May 2014. Consecutive admissions were identified by screening admissions and searching coding records. Admission clinical data, including DECAF indices, and mortality were recorded. The prognostic value of DECAF and other scores were assessed by the area under the receiver operator characteristic (AUROC) curve. Results In the internal and external validation cohorts, 880 and 845 patients were recruited. Mean age was 73.1 (SD 10.3) years, 54.3% were female, and mean (SD) FEV1 45.5 (18.3) per cent predicted. Overall mortality was 7.7%. The DECAF AUROC curve for inhospital mortality was 0.83 (95% CI 0.78 to 0.87) in the internal cohort and 0.82 (95% CI 0.77 to 0.87) in the external cohort, and was superior to other prognostic scores for inhospital or 30-day mortality. Conclusions DECAF is a robust predictor of mortality, using indices routinely available on admission. Its generalisability is supported by consistent strong performance; it can identify low-risk patients (DECAF 0–1) potentially suitable for Hospital at Home or early supported discharge services, and high-risk patients (DECAF 3–6) for escalation planning or appropriate early palliation. Trial registration number UKCRN ID 14214. PMID:26769015

  11. Predicting all-cause mortality from basic physiology in the Framingham Heart Study.

    PubMed

    Zhang, William B; Pincus, Zachary

    2016-02-01

    Using longitudinal data from a cohort of 1349 participants in the Framingham Heart Study, we show that as early as 28-38 years of age, almost 10% of variation in future lifespan can be predicted from simple clinical parameters. Specifically, we found diastolic and systolic blood pressure, blood glucose, weight, and body mass index (BMI) to be relevant to lifespan. These and similar parameters have been well-characterized as risk factors in the relatively narrow context of cardiovascular disease and mortality in middle to old age. In contrast, we demonstrate here that such measures can be used to predict all-cause mortality from mid-adulthood onward. Further, we find that different clinical measurements are predictive of lifespan in different age regimes. Specifically, blood pressure and BMI are predictive of all-cause mortality from ages 35 to 60, while blood glucose is predictive from ages 57 to 73. Moreover, we find that several of these parameters are best considered as measures of a rate of 'damage accrual', such that total historical exposure, rather than current measurement values, is the most relevant risk factor (as with pack-years of cigarette smoking). In short, we show that simple physiological measurements have broader lifespan-predictive value than indicated by previous work and that incorporating information from multiple time points can significantly increase that predictive capacity. In general, our results apply equally to both men and women, although some differences exist. PMID:26446764

  12. Childhood-Onset Disease Predicts Mortality in an Adult Cohort of Patients with Systemic Lupus Erythematosus

    PubMed Central

    Hersh, Aimee O.; Trupin, Laura; Yazdany, Jinoos; Panopalis, Peter; Julian, Laura; Katz, Patricia; Criswell, Lindsey A.; Yelin, Edward

    2013-01-01

    Objective To examine childhood-onset disease as a predictor of mortality in a cohort of adult patients with systemic lupus erythematosus (SLE). Methods Data were derived from the University of California Lupus Outcomes Study, a longitudinal cohort of 957 adult subjects with SLE that includes 98 subjects with childhood-onset SLE. Baseline and follow-up data were obtained via telephone interviews conducted between 2002-2007. The number of deaths during 5 years of follow-up was determined and standardized mortality ratios (SMRs) for the cohort, and across age groups, were calculated. Kaplan-Meier life table analysis was used to compare mortality rates between childhood (defined as SLE diagnosis <18 years) and adult-onset SLE. Multivariate Cox proportional hazard models were used to determine predictors of mortality. Results During the median follow-up period of 48 months, 72 deaths (7.5% of subjects) occurred, including 9 (12.5%) among those with childhood-onset SLE. The overall SMR was 2.5 (CI 2.0-3.2). In Kaplan-Meier survival analysis, after adjusting for age, childhood-onset subjects were at increased risk for mortality throughout the follow-up period (p<0.0001). In a multivariate model adjusting for age, disease duration and other covariates, childhood-onset SLE was independently associated with an increased mortality risk (hazard ratio [HR]: 3.1; 95% confidence interval [CI]: 1.3-7.3), as was low socioeconomic status measured by education (HR: 1.9; 95% CI 1.1-3.2) and end stage renal disease (HR: 2.1; 95% CI 1.1-4.0). Conclusion Childhood-onset SLE was a strong predictor of mortality in this cohort. Interventions are needed to prevent early mortality in this population. PMID:20235215

  13. Development and Validation of a Clinical Risk-Assessment Tool Predictive of All-Cause Mortality

    PubMed Central

    Bello, Ghalib A; Dumancas, Gerard G; Gennings, Chris

    2015-01-01

    In clinical settings, the diagnosis of medical conditions is often aided by measurement of various serum biomarkers through the use of laboratory tests. These biomarkers provide information about different aspects of a patient’s health and overall function of multiple organ systems. We have developed a statistical procedure that condenses the information from a variety of health biomarkers into a composite index, which could be used as a risk score for predicting all-cause mortality. It could also be viewed as a holistic measure of overall physiological health status. This health status metric is computed as a function of standardized values of each biomarker measurement, weighted according to their empirically determined relative strength of association with mortality. The underlying risk model was developed using the biomonitoring and mortality data of a large sample of US residents obtained from the National Health and Nutrition Examination Survey (NHANES) and the National Death Index (NDI). Biomarker concentration levels were standardized using spline-based Cox regression models, and optimization algorithms were used to estimate the weights. The predictive accuracy of the tool was optimized by bootstrap aggregation. We also demonstrate how stacked generalization, a machine learning technique, can be used for further enhancement of the prediction power. The index was shown to be highly predictive of all-cause mortality and long-term outcomes for specific health conditions. It also exhibited a robust association with concurrent chronic conditions, recent hospital utilization, and current health status as assessed by self-rated health. PMID:26380550

  14. Multiple Brain Abscesses due to Streptococcus anginosus: Prediction of Mortality by an Imaging Severity Index Score

    PubMed Central

    2016-01-01

    An elderly patient with altered mental status, brain abscesses, ventriculitis, and empyemas died of septic shock and brain abscesses secondary to Streptococcus anginosus despite aggressive treatment. An imaging severity index score with a better prognostic value than the Glasgow coma scale predicted mortality in this patient. PMID:27034878

  15. The choice of self-rated health measures matter when predicting mortality: evidence from 10 years follow-up of the Australian longitudinal study of ageing

    PubMed Central

    2010-01-01

    Background Self-rated health (SRH) measures with different wording and reference points are often used as equivalent health indicators in public health surveys estimating health outcomes such as healthy life expectancies and mortality for older adults. Whilst the robust relationship between SRH and mortality is well established, it is not known how comparable different SRH items are in their relationship to mortality over time. We used a dynamic evaluation model to investigate the sensitivity of time-varying SRH measures with different reference points to predict mortality in older adults over time. Methods We used seven waves of data from the Australian Longitudinal Study of Ageing (1992 to 2004; N = 1733, 52.6% males). Cox regression analysis was used to evaluate the relationship between three time-varying SRH measures (global, age-comparative and self-comparative reference point) with mortality in older adults (65+ years). Results After accounting for other mortality risk factors, poor global SRH ratings increased mortality risk by 2.83 times compared to excellent ratings. In contrast, the mortality relationship with age-comparative and self-comparative SRH was moderated by age, revealing that these comparative SRH measures did not independently predict mortality for adults over 75 years of age in adjusted models. Conclusions We found that a global measure of SRH not referenced to age or self is the best predictor of mortality, and is the most reliable measure of self-perceived health for longitudinal research and population health estimates of healthy life expectancy in older adults. Findings emphasize that the SRH measures are not equivalent measures of health status. PMID:20403203

  16. Height loss starting in middle age predicts increased mortality in the elderly.

    PubMed

    Masunari, Naomi; Fujiwara, Saeko; Kasagi, Fumiyoshi; Takahashi, Ikuno; Yamada, Michiko; Nakamura, Toshitaka

    2012-01-01

    was an independent risk factor for cardiovascular and respiratory-disease mortality among the elderly, even after adjusting for potential risk factors. PMID:21932348

  17. Predicting perioperative mortality after oesophagectomy: a systematic review of performance and methods of multivariate models.

    PubMed

    Warnell, I; Chincholkar, M; Eccles, M

    2015-01-01

    Predicting risk of perioperative mortality after oesophagectomy for cancer may assist patients to make treatment choices and allow balanced comparison of providers. The aim of this systematic review of multivariate prediction models is to report their performance in new patients, and compare study methods against current recommendations. We used PRISMA guidelines and searched Medline, Embase, and standard texts from 1990 to 2012. Inclusion criteria were English language articles reporting development and validation of prediction models of perioperative mortality after open oesophagectomy. Two reviewers screened articles and extracted data for methods, results, and potential biases. We identified 11 development, 10 external validation, and two clinical impact studies. Overestimation of predicted mortality was common (5-200% error), discrimination was poor to moderate (area under receiver operator curves ranged from 0.58 to 0.78), and reporting of potential bias was poor. There were potentially important case mix differences between modelling and validation samples, and sample sizes were considerably smaller than is currently recommended. Steyerberg and colleagues' model used the most 'transportable' predictors and was validated in the largest sample. Most models have not been adequately validated and reported performance has been unsatisfactory. There is a need to clarify definition, effect size, and selection of currently available candidate predictors for inclusion in prediction models, and to identify new ones strongly associated with outcome. Adoption of prediction models into practice requires further development and validation in well-designed large sample prospective studies. PMID:25231768

  18. Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB)

    PubMed Central

    Grossi, Enzo; Marmo, Riccardo; Intraligi, Marco; Buscema, Massimo

    2008-01-01

    Background Mortality for non variceal upper gastrointestinal bleeding (UGIB) is clinically relevant in the first 12–24 hours of the onset of haemorrhage and therefore identification of clinical factors predictive of the risk of death before endoscopic examination may allow for early corrective therapeutic intervention. Aim 1) Identify simple and early clinical variables predictive of the risk of death in patients with non variceal UGIB; 2) assess previsional gain of a predictive model developed with conventional statistics vs. that developed with artificial neural networks (ANNs). Methods and results Analysis was performed on 807 patients with nonvariceal UGIB (527 males, 280 females), as a part of a multicentre Italian study. The mortality was considered “bleeding-related” if occurred within 30 days from the index bleeding episode. A total of 50 independent variables were analysed, 49 of which clinico-anamnestic, all collected prior to endoscopic examination plus the haemoglobin value measured on admission in the emergency department. Death occurred in 42 (5.2%). Conventional statistical techniques (linear discriminant analysis) were compared with ANNs (Twist® system-Semeion) adopting the same result validation protocol with random allocation of the sample in training and testing subsets and subsequent cross-over. ANNs resulted to be significantly more accurate than LDA with an overall accuracy rate near to 90%. Conclusion Artificial neural networks technology is highly promising in the development of accurate diagnostic tools designed to recognize patients at high risk of death for UGIB. PMID:27429551

  19. Growth rate predicts mortality of Abies concolor in both burned and unburned stands

    USGS Publications Warehouse

    van Mantgem, P.J.; Stephenson, N.L.; Mutch, L.S.; Johnson, V.G.; Esperanza, A.M.; Parsons, D.J.

    2003-01-01

    Tree mortality is often the result of both long-term and short-term stress. Growth rate, an indicator of long-term stress, is often used to estimate probability of death in unburned stands. In contrast, probability of death in burned stands is modeled as a function of short-term disturbance severity. We sought to narrow this conceptual gap by determining (i) whether growth rate, in addition to crown scorch, is a predictor of mortality in burned stands and (ii) whether a single, simple model could predict tree death in both burned and unburned stands. Observations of 2622 unburned and 688 burned Abies concolor (Gord. & Glend.) Lindl. (white fir) in the Sierra Nevada of California, U.S.A., indicated that growth rate was a significant predictor of mortality in the unburned stands, while both crown scorch and radial growth were significant predictors of mortality in the burned stands. Applying the burned stand model to unburned stands resulted in an overestimation of the unburned stand mortality rate. While failing to create a general model of tree death for A. concolor, our findings underscore the idea that similar processes may affect mortality in disturbed and undisturbed stands.

  20. Prediction of Residential Independence of Special Education High School Students.

    ERIC Educational Resources Information Center

    Heal, Laird W.; Rusch, Frank

    1994-01-01

    The residential independence of students with disabilities who had exited high school was assessed, using data from 2,686 interviewees in the National Longitudinal Transition Study. Individual characteristics, such as intelligence, living skills, and bad conduct records, were better predictors of postschool living arrangement status than were…

  1. Physical Stress Echocardiography: Prediction of Mortality and Cardiac Events in Patients with Exercise Test showing Ischemia.

    PubMed

    Araujo, Ana Carla Pereira de; Santos, Bruno F de Oliveira; Calasans, Flavia Ricci; Pinto, Ibraim M Francisco; Oliveira, Daniel Pio de; Melo, Luiza Dantas; Andrade, Stephanie Macedo; Tavares, Irlaneide da Silva; Sousa, Antonio Carlos Sobral; Oliveira, Joselina Luzia Menezes

    2014-11-01

    Background: Studies have demonstrated the diagnostic accuracy and prognostic value of physical stress echocardiography in coronary artery disease. However, the prediction of mortality and major cardiac events in patients with exercise test positive for myocardial ischemia is limited. Objective: To evaluate the effectiveness of physical stress echocardiography in the prediction of mortality and major cardiac events in patients with exercise test positive for myocardial ischemia. Methods: This is a retrospective cohort in which 866 consecutive patients with exercise test positive for myocardial ischemia, and who underwent physical stress echocardiography were studied. Patients were divided into two groups: with physical stress echocardiography negative (G1) or positive (G2) for myocardial ischemia. The endpoints analyzed were all-cause mortality and major cardiac events, defined as cardiac death and non-fatal acute myocardial infarction. Results: G2 comprised 205 patients (23.7%). During the mean 85.6 ± 15.0-month follow-up, there were 26 deaths, of which six were cardiac deaths, and 25 non-fatal myocardial infarction cases. The independent predictors of mortality were: age, diabetes mellitus, and positive physical stress echocardiography (hazard ratio: 2.69; 95% confidence interval: 1.20 - 6.01; p = 0.016). The independent predictors of major cardiac events were: age, previous coronary artery disease, positive physical stress echocardiography (hazard ratio: 2.75; 95% confidence interval: 1.15 - 6.53; p = 0.022) and absence of a 10% increase in ejection fraction. All-cause mortality and the incidence of major cardiac events were significantly higher in G2 (p < 0. 001 and p = 0.001, respectively). Conclusion: Physical stress echocardiography provides additional prognostic information in patients with exercise test positive for myocardial ischemia.Fundamento: Estudos têm demonstrado a acurácia diagnóstica e o valor prognóstico da ecocardiografia com estresse f

  2. Prediction of Mortality in Nonagenarians Following the Surgical Repair of Hip Fractures

    PubMed Central

    Fansa, Ashraf; Ebraheim, Nabil

    2016-01-01

    Background The purpose of this study is to report on the mortality of nonagenarians who underwent surgical treatment for a hip fracture, specifically in regards to preexisting comorbidities. Furthermore, we assessed the effectiveness of the Deyo score in predicting such mortality. Methods Thirty-nine patients over the age of 90 who underwent surgical repair of a hip fracture were retrospectively analyzed. Twenty-six patients (66.7%) suffered femoral neck fractures, while the remaining 13 (33.3%) presented with trochanteric type fractures. Patient charts were examined to determine previously diagnosed patient comorbidities as well as living arrangements and mobility before and after surgery. Results Deyo index scores did not demonstrate statistically significant correlations with postoperative mortality or functional outcomes. The hazard of in-hospital mortality was found to be 91% (p = 0.036) and 86% (p = 0.05) less in patients without a history of congestive heart failure (CHF) and chronic pulmonary disease (CPD), respectively. Additionally, the hazard of 90-day mortality was 88% (p = 0.01) and 81% (p = 0.024) less in patients without a history of dementia and CPD, respectively. The hazard of 1-year mortality was also found to be 75% (p = 0.01) and 80% (p = 0.01) less in patients without a history of dementia and CPD, respectively. Furthermore, dementia patients stayed in-hospital postoperatively an average of 5.3 days (p = 0.013) less than nondementia patients and only 38.5% returned to preoperative living conditions (p = 0.036). Conclusions Nonagenarians with a history of CHF and CPD have a higher risk of in-hospital mortality following the operative repair of hip fractures. CPD and dementia patients over 90 years old have higher 90-day and 1-year mortality hazards postoperatively. Dementia patients are also discharged more quickly than nondementia patients. PMID:27247737

  3. Comparison of risk-scoring systems in predicting hospital mortality after abdominal aortic aneurysm repair

    PubMed Central

    Supsamutchai, Chaiyarat; Wilasrusmee, Chumpon; Lertsithichai, Panuwat; Proprom, Napaphat; Kittur, Dilip S

    2008-01-01

    OBJECTIVE: To compare the Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity, Portsmouth adjustment (P-POSSUM), the Hardman index and the Glasgow aneurysm score (GAS) in the prediction of hospital mortality after abdominal aortic aneurysm (AAA) repair. METHODS: Medical charts of 146 AAA patients treated between January 1996 and January 2007 were reviewed. The P-POSSUM, Hardman index and GAS were calculated for each patient. The scores were tested and compared for their discriminatory ability to predict hospital death. RESULTS: Of the 146 patients with ruptured and unruptured AAAs (133 underwent open repair, five underwent extra-anatomical bypass and eight underwent endovascular aneurysm repair), 18 died (12%) after AAA repair. The areas under the receiver operating characteristic curves for the GAS, Hardman index and P-POSSUM for predicting hospital mortality were 0.740, 0.730 and 0.886, respectively. The area under the receiver operating characteristic curve for the P-POSSUM was significantly higher than those of other scores. CONCLUSION: In the present study, the P-POSSUM was the best predictor of hospital mortality for patients undergoing AAA repair. PMID:22477446

  4. Prediction of mortality in patients in acute medical wards using basic laboratory and anthropometric data.

    PubMed Central

    Woo, J.; Mak, Y. T.; Lau, J.; Swaminathan, R.

    1992-01-01

    The value of anthropometric and biochemical indices in predicting short-term mortality among patients in general medical wards was assessed in 294 patients admitted consecutively to a district hospital over a one month period. Using a stepwise logistic regression model and supported by the linear discriminant analysis method, mortality within 3 months could be predicted with sensitivity of 83% and specificity of 84% using the following variables: sex, functional ability, urea, total protein, alkaline phosphatase and albumin-adjusted calcium. Addition of anthropometric values and biochemical nutritional indices did little to improve the accuracy of the prediction, contrary to previous findings among surgical patients and elderly residents of long-term care institutions. PMID:1494524

  5. Comprehensive geriatric assessment can predict postoperative morbidity and mortality in elderly patients undergoing elective surgery.

    PubMed

    Kim, Kwang-Il; Park, Kay-Hyun; Koo, Kyung-Hoi; Han, Ho-Seong; Kim, Cheol-Ho

    2013-01-01

    The proportion of elderly patients who undergo surgery has rapidly increased; however, clinical indicators predicting outcomes are limited. Our aim was to evaluate the significance of comprehensive geriatric assessment (CGA) in elderly patients undergoing elective surgery. We studied 141 consecutive elderly patients (age: 78.0±6.5 years old, male: 41.1%) who were referred to our geriatric department for surgical risk evaluation. CGA was performed to evaluate physical health, functional status, psychological health, and social support. The primary composite outcome of this study was in-hospital death or post-discharge institutionalization. In-hospital adverse events, such as delirium, pressure ulcers, pneumonia, and urinary tract infections, were also evaluated. The associations between CGA and in-hospital adverse events, in-hospital death, and post-discharge institutionalization were investigated. There were 32 adverse outcomes (6 in-hospital deaths and 26 post-discharge institutionalizations). Compared with the patients who were discharged to their homes, patients with adverse outcomes were characterized by poor nutritional status and prior strokes. However, there was no significant difference in surgical risk or anesthesia type. The CGA results showed that patients with adverse outcomes were associated with functional dependency and poor nutrition. The cumulative number of impairments in the CGA domain was significantly associated with adverse outcomes, in-hospital events, and prolonged hospital stays. In multiple logistic regression analysis, cumulative impairment in CGA was independently associated with surgical outcomes in elderly patients undergoing elective surgery. Preoperative CGA can identify elderly patients at greater risk for mortality, post-discharge institutionalization, adverse in-hospital events, and prolonged length of hospital stay. PMID:23246499

  6. Non-linear feature extraction from HRV signal for mortality prediction of ICU cardiovascular patient.

    PubMed

    Karimi Moridani, Mohammad; Setarehdan, Seyed Kamaledin; Motie Nasrabadi, Ali; Hajinasrollah, Esmaeil

    2016-04-01

    Intensive care unit (ICU) patients are at risk of in-ICU morbidities and mortality, making specific systems for identifying at-risk patients a necessity for improving clinical care. This study presents a new method for predicting in-hospital mortality using heart rate variability (HRV) collected from the times of a patient's ICU stay. In this paper, a HRV time series processing based method is proposed for mortality prediction of ICU cardiovascular patients. HRV signals were obtained measuring R-R time intervals. A novel method, named return map, is then developed that reveals useful information from the HRV time series. This study also proposed several features that can be extracted from the return map, including the angle between two vectors, the area of triangles formed by successive points, shortest distance to 45° line and their various combinations. Finally, a thresholding technique is proposed to extract the risk period and to predict mortality. The data used to evaluate the proposed algorithm obtained from 80 cardiovascular ICU patients, from the first 48 h of the first ICU stay of 40 males and 40 females. This study showed that the angle feature has on average a sensitivity of 87.5% (with 12 false alarms), the area feature has on average a sensitivity of 89.58% (with 10 false alarms), the shortest distance feature has on average a sensitivity of 85.42% (with 14 false alarms) and, finally, the combined feature has on average a sensitivity of 92.71% (with seven false alarms). The results showed that the last half an hour before the patient's death is very informative for diagnosing the patient's condition and to save his/her life. These results confirm that it is possible to predict mortality based on the features introduced in this paper, relying on the variations of the HRV dynamic characteristics. PMID:27028609

  7. Predicting mortality in acutely hospitalized older patients: a retrospective cohort study.

    PubMed

    de Gelder, Jelle; Lucke, Jacinta A; Heim, Noor; de Craen, Antonius J M; Lourens, Shantaily D; Steyerberg, Ewout W; de Groot, Bas; Fogteloo, Anne J; Blauw, Gerard J; Mooijaart, Simon P

    2016-06-01

    Acutely hospitalized older patients have an increased risk of mortality, but at the moment of presentation this risk is difficult to assess. Early identification of patients at high risk might increase the awareness of the physician, and enable tailored decision-making. Existing screening instruments mainly use either geriatric factors or severity of disease for prognostication. Predictive performance of these instruments is moderate, which hampers successive interventions. We conducted a retrospective cohort study among all patients aged 70 years and over who were acutely hospitalized in the Acute Medical Unit of the Leiden University Medical Center, the Netherlands in 2012. We developed a prediction model for 90-day mortality that combines vital signs and laboratory test results reflecting severity of disease with geriatric factors, represented by comorbidities and number of medications. Among 517 patients, 94 patients (18.2 %) died within 90 days after admission. Six predictors of mortality were included in a model for mortality: oxygen saturation, Charlson comorbidity index, thrombocytes, urea, C-reactive protein and non-fasting glucose. The prediction model performs satisfactorily with an 0.738 (0.667-0.798). Using this model, 53 % of the patients in the highest risk decile (N = 51) were deceased within 90 days. In conclusion, we are able to predict 90-day mortality in acutely hospitalized older patients using a model with directly available clinical data describing disease severity and geriatric factors. After further validation, such a model might be used in clinical decision making in older patients. PMID:26825335

  8. Accuracy and Calibration of Computational Approaches for Inpatient Mortality Predictive Modeling

    PubMed Central

    Nakas, Christos T.; Schütz, Narayan; Werners, Marcus; Leichtle, Alexander B.

    2016-01-01

    Electronic Health Record (EHR) data can be a key resource for decision-making support in clinical practice in the “big data” era. The complete database from early 2012 to late 2015 involving hospital admissions to Inselspital Bern, the largest Swiss University Hospital, was used in this study, involving over 100,000 admissions. Age, sex, and initial laboratory test results were the features/variables of interest for each admission, the outcome being inpatient mortality. Computational decision support systems were utilized for the calculation of the risk of inpatient mortality. We assessed the recently proposed Acute Laboratory Risk of Mortality Score (ALaRMS) model, and further built generalized linear models, generalized estimating equations, artificial neural networks, and decision tree systems for the predictive modeling of the risk of inpatient mortality. The Area Under the ROC Curve (AUC) for ALaRMS marginally corresponded to the anticipated accuracy (AUC = 0.858). Penalized logistic regression methodology provided a better result (AUC = 0.872). Decision tree and neural network-based methodology provided even higher predictive performance (up to AUC = 0.912 and 0.906, respectively). Additionally, decision tree-based methods can efficiently handle Electronic Health Record (EHR) data that have a significant amount of missing records (in up to >50% of the studied features) eliminating the need for imputation in order to have complete data. In conclusion, we show that statistical learning methodology can provide superior predictive performance in comparison to existing methods and can also be production ready. Statistical modeling procedures provided unbiased, well-calibrated models that can be efficient decision support tools for predicting inpatient mortality and assigning preventive measures. PMID:27414408

  9. Postoperative Nomogram for Predicting Cancer-Specific Mortality in Medullary Thyroid Cancer

    PubMed Central

    Ho, Allen S.; Wang, Lu; Palmer, Frank L.; Yu, Changhong; Toset, Arnbjorn; Patel, Snehal; Kattan, Michael W.; Tuttle, R. Michael; Ganly, Ian

    2016-01-01

    Background Medullary thyroid cancer (MTC) is a rare thyroid cancer accounting for 5 % of all thyroid malignancies. The purpose of our study was to design a predictive nomogram for cancer-specific mortality (CSM) utilizing clinical, pathological, and biochemical variables in patients with MTC. Methods MTC patients managed entirely at Memorial Sloan-Kettering Cancer Center between 1986 and 2010 were identified. Patient, tumor, and treatment characteristics were recorded, and variables predictive of CSM were identified by univariable analyses. A multivariable competing risk model was then built to predict the 10-year cancer specific mortality of MTC. All predictors of interest were added in the starting full model before selection, including age, gender, pre- and postoperative serum calcitonin, pre- and postoperative CEA, RET mutation status, perivascular invasion, margin status, pathologic T status, pathologic N status, and M status. Stepdown method was used in model selection to choose predictive variables. Results Of 249 MTC patients, 22.5 % (56/249) died from MTC, whereas 6.4 % (16/249) died secondary to other causes. Mean follow-up period was 87 ± 67 months. The seven variables with the highest predictive accuracy for cancer specific mortality included age, gender, postoperative calcitonin, perivascular invasion, pathologic T status, pathologic N status, and M status. These variables were used to create the final nomogram. Discrimination from the final nomogram was measured at 0.77 with appropriate calibration. Conclusions We describe the first nomogram that estimates cause-specific mortality in individual patients with MTC. This predictive nomogram will facilitate patient counseling in terms of prognosis and subsequent clinical follow up. PMID:25366585

  10. Performance of Surgical Risk Scores to Predict Mortality after Transcatheter Aortic Valve Implantation

    PubMed Central

    Silva, Leonardo Sinnott; Caramori, Paulo Ricardo Avancini; Nunes Filho, Antonio Carlos Bacelar; Katz, Marcelo; Guaragna, João Carlos Vieira da Costa; Lemos, Pedro; Lima, Valter; Abizaid, Alexandre; Tarasoutchi, Flavio; de Brito Jr, Fabio S.

    2015-01-01

    Background Predicting mortality in patients undergoing transcatheter aortic valve implantation (TAVI) remains a challenge. Objectives To evaluate the performance of 5 risk scores for cardiac surgery in predicting the 30-day mortality among patients of the Brazilian Registry of TAVI. Methods The Brazilian Multicenter Registry prospectively enrolled 418 patients undergoing TAVI in 18 centers between 2008 and 2013. The 30-day mortality risk was calculated using the following surgical scores: the logistic EuroSCORE I (ESI), EuroSCORE II (ESII), Society of Thoracic Surgeons (STS) score, Ambler score (AS) and Guaragna score (GS). The performance of the risk scores was evaluated in terms of their calibration (Hosmer–Lemeshow test) and discrimination [area under the receiver–operating characteristic curve (AUC)]. Results The mean age was 81.5 ± 7.7 years. The CoreValve (Medtronic) was used in 86.1% of the cohort, and the transfemoral approach was used in 96.2%. The observed 30-day mortality was 9.1%. The 30-day mortality predicted by the scores was as follows: ESI, 20.2 ± 13.8%; ESII, 6.5 ± 13.8%; STS score, 14.7 ± 4.4%; AS, 7.0 ± 3.8%; GS, 17.3 ± 10.8%. Using AUC, none of the tested scores could accurately predict the 30-day mortality. AUC for the scores was as follows: 0.58 [95% confidence interval (CI): 0.49 to 0.68, p = 0.09] for ESI; 0.54 (95% CI: 0.44 to 0.64, p = 0.42) for ESII; 0.57 (95% CI: 0.47 to 0.67, p = 0.16) for AS; 0.48 (95% IC: 0.38 to 0.57, p = 0.68) for STS score; and 0.52 (95% CI: 0.42 to 0.62, p = 0.64) for GS. The Hosmer–Lemeshow test indicated acceptable calibration for all scores (p > 0.05). Conclusions In this real world Brazilian registry, the surgical risk scores were inaccurate in predicting mortality after TAVI. Risk models specifically developed for TAVI are required. PMID:26247244

  11. Comparison of the Utility of Preoperative versus Postoperative B-type Natriuretic Peptide for Predicting Hospital Length of Stay and Mortality after Primary Coronary Artery Bypass Grafting

    PubMed Central

    Fox, Amanda A.; Muehlschlegel, Jochen D.; Body, Simon C.; Shernan, Stanton K.; Liu, Kuang-Yu; Perry, Tjorvi E.; Aranki, Sary F.; Cook, E. Francis; Marcantonio, Edward R.; Collard, Charles D.

    2016-01-01

    Background Preoperative B-type natriuretic peptide (BNP) is known to predict adverse outcomes after cardiac surgery. The value of postoperative BNP for predicting adverse outcomes is less well delineated. The authors hypothesized that peak postoperative plasma BNP (measured postoperative days 1–5) predicts hospital length of stay (HLOS) and mortality in patients undergoing primary coronary artery bypass grafting, even after adjusting for preoperative BNP and perioperative clinical risk factors. Methods This study is a prospective longitudinal study of 1,183 patients undergoing primary coronary artery bypass grafting surgery. Mortality was defined as all-cause death within 5 yr after surgery. Cox proportional hazards analyses were conducted to separately evaluate the associations between peak postoperative BNP and HLOS and mortality. Multivariable adjustments were made for patient demographics, preoperative BNP concentration, and clinical risk factors. BNP measurements were log10 transformed before analysis. Results One hundred fifteen deaths (9.7%) occurred in the cohort (mean follow-up = 4.3 yr, range = 2.38–5.0 yr). After multivariable adjustment for preoperative BNP and clinical covariates, peak postoperative BNP predicted HLOS (hazard ratio [HR] = 1.28, 95% CI = 1.002–1.64, P = 0.049) but not mortality (HR = 1.62, CI = 0.71–3.68, P = 0.25), whereas preoperative BNP independently predicted HLOS (HR = 1.09, CI = 1.01–1.18, P = 0.03) and approached being an independent predictor of mortality (HR = 1.36, CI = 0.96–1.94, P = 0.08). When preoperative and peak postoperative BNP were separately adjusted for within the clinical multivariable models, each independently predicted HLOS (preoperative BNP HR = 1.13, CI = 1.05–1.21, P = 0.0007; peak postoperative BNP HR = 1.44, CI = 1.15–1.81, P = 0.001) and mortality (preoperative BNP HR = 1.50, CI = 1.09–2.07, P = 0.01; peak postoperative BNP HR = 2.29, CI = 1.11–4.73, P = 0.02). Conclusions Preoperative

  12. Derivation and validation of a simple, accurate and robust prediction rule for risk of mortality in patients with Clostridium difficile infection

    PubMed Central

    2013-01-01

    Background Clostridium difficile infection poses a significant healthcare burden. However, the derivation of a simple, evidence based prediction rule to assist patient management has not yet been described. This study aimed to identify such a prediction rule to stratify hospital inpatients according to risk of all-cause mortality, at initial diagnosis of infection. Method Univariate, multivariate and decision tree procedures were used to deduce a prediction rule from over 186 variables; retrospectively collated from clinical data for 213 patients. The resulting prediction rule was validated on independent data from a cohort of 158 patients described by Bhangu et al. (Colorectal Disease, 12(3):241-246, 2010). Results Serum albumin levels (g/L) (P = 0.001), respiratory rate (resps /min) (P = 0.002), C-reactive protein (mg/L) (P = 0.034) and white cell count (mcL) (P = 0.049) were predictors of all-cause mortality. Threshold levels of serum albumin ≤ 24.5 g/L, C- reactive protein >228 mg/L, respiratory rate >17 resps/min and white cell count >12 × 103 mcL were associated with an increased risk of all-cause mortality. A simple four variable prediction rule was devised based on these threshold levels and when tested on the initial data, yield an area under the curve score of 0.754 (P < 0.001) using receiver operating characteristics. The prediction rule was then evaluated using independent data, and yield an area under the curve score of 0.653 (P = 0.001). Conclusions Four easily measurable clinical variables can be used to assess the risk of mortality of patients with Clostridium difficile infection and remains robust with respect to independent data. PMID:23849267

  13. Should We Use the Model for End-Stage Liver Disease (MELD) to Predict Mortality After Colorectal Surgery?

    PubMed

    Pantel, Haddon Jacob; Stensland, Kristian D; Nelson, Jason; Francone, Todd D; Roberts, Patricia L; Marcello, Peter W; Read, Thomas; Ricciardi, Rocco

    2016-08-01

    We sought to determine the accuracy of the Model for End-Stage Liver Disease and the Mayo Clinic Postoperative Mortality Risk in Patients with Cirrhosis Calculator in patients with ascites who underwent colorectal surgery. The National Surgical Quality Improvement Program database was queried for patients with ascites who underwent a major colorectal operation. Predicted 90-day mortality rate based on the Model for End-Stage Liver Disease and 30-day mortality based on the Mayo Clinic Postoperative Mortality Risk in Patients with Cirrhosis Calculator were compared with observed 30-day mortality. The cohort contained 3137 patients with ascites who underwent a colorectal operation. The Model for End-Stage Liver Disease predicted that 252 (8 %) of patients with ascites undergoing colorectal operations would die within 90 days postoperatively, yet we observed 821 deaths (26 % mortality) within 30 days after surgery (p < 0.001). The Mayo Clinic Postoperative Mortality Risk in Patients with Cirrhosis Calculator predicted that 491 (16.6 % mortality) of patients with ascites undergoing colorectal operations would die within 30 days postoperatively, yet we observed 707 (23.9 % mortality) at 30 days (p < 0.01). We concluded that the current risk prediction models significantly under predict mortality in patients with ascites who underwent colorectal surgery. PMID:27216407

  14. The Kind of Student You Were in Elementary School Predicts Mortality.

    PubMed

    Spengler, Marion; Roberts, Brent W; Lüdtke, Oliver; Martin, Romain; Brunner, Martin

    2016-08-01

    We examined the association of self-reported and teacher-rated student characteristics assessed at the end of primary school with all-cause mortality assessed through age 52. Data stem from a representative sample of students from Luxembourg assessed in 1968 (N = 2,543; M = 11.9 years, SD = 0.6; 49.9% female; N = 166 participants died). Results from logistic regression analyses showed that the self-reported responsible student scale (OR = .81; CI = [.70; .95]) and the teacher rating of studiousness (OR = .80; CI = [.67; .96]) were predictive for all-cause mortality even after controlling for IQ, parental SES, and sex. These findings indicate that both observer-rated and self-reported student behaviors are important life-course predictors for mortality and are perhaps more important than childhood IQ. PMID:25941045

  15. Psychological Language on Twitter Predicts County-Level Heart Disease Mortality

    PubMed Central

    Eichstaedt, Johannes C.; Schwartz, Hansen Andrew; Kern, Margaret L.; Park, Gregory; Labarthe, Darwin R.; Merchant, Raina M.; Jha, Sneha; Agrawal, Megha; Dziurzynski, Lukasz A.; Sap, Maarten; Weeg, Christopher; Larson, Emily E.; Ungar, Lyle H.; Seligman, Martin E. P.

    2015-01-01

    Hostility and chronic stress are known risk factors for heart disease, but they are costly to assess on a large scale. We used language expressed on Twitter to characterize community-level psychological correlates of age-adjusted mortality from atherosclerotic heart disease (AHD). Language patterns reflecting negative social relationships, disengagement, and negative emotions—especially anger—emerged as risk factors; positive emotions and psychological engagement emerged as protective factors. Most correlations remained significant after controlling for income and education. A cross-sectional regression model based only on Twitter language predicted AHD mortality significantly better than did a model that combined 10 common demographic, socioeconomic, and health risk factors, including smoking, diabetes, hypertension, and obesity. Capturing community psychological characteristics through social media is feasible, and these characteristics are strong markers of cardiovascular mortality at the community level. PMID:25605707

  16. Abnormal Heart Rate Turbulence Predicts Cardiac Mortality in Low, Intermediate and High Risk Older Adults

    PubMed Central

    Stein, Phyllis K.; Barzilay, Joshua I.

    2011-01-01

    Introduction We examined whether heart rate turbulence (HRT) adds to traditional risk factors for cardiac mortality in older adults at low, intermediate and high risk. Methods and Results N=1298, age ≥65 years, with 24-hour Holter recordings were studied. HRT, which quantifies heart rate response to ventricular premature contractions, was categorized as: both turbulence onset (TO) and turbulence slope (TS) normal; TO abnormal; TS abnormal; or both abnormal. Independent risks for cardiac mortality associated with HRT or, for comparison, elevated C-reactive protein (CRP) (>3.0 mg/L), were calculated using Cox regression analysis adjusted for traditional cardiovascular disease risk factors and stratified by the presence of no, isolated subclinical (i.e., intermediate risk) or clinical CVD. Having both TS and TO abnormal compared to both normal was associated with cardiac mortality in the low risk group [HR 7.9, 95% CI 2.8–22.5, (p<0.001)]. In the high and intermediate risk groups, abnormal TS and TO ([HR 2.2, 95% CI 1.5–4.0, p=0.016] and [HR 2.7, 95% CI 1.2–5.9, p=0.012]), respectively, were also significantly associated with cardiac mortality. In contrast, elevated CRP was associated with increased cardiac mortality risk only in low risk individuals [HR 2.5, 95% CI 1.3–5.1, p=0.009]. In the low risk group, the c-statistic was 0.706 for the base model, 0.725 for the base model with CRP, and 0.767 for the base model with HRT. Conclusions Abnormal HRT independently adds to risk stratification of low, intermediate and high risk individuals but appears to add especially to the stratification of those considered at low risk. PMID:21134026

  17. Practical prediction model for the risk of 2-year mortality of individuals in the general population.

    PubMed

    Goldfarb-Rumyantzev, Alexander; Gautam, Shiva; Brown, Robert S

    2016-04-01

    This study proposed to validate a prediction model and risk-stratification tool of 2-year mortality rates of individuals in the general population suitable for office practice use. A risk indicator (R) derived from data in the literature was based on only 6 variables: to calculate R for an individual, starting with 0, for each year of age above 60, add 0.14; for a male, add 0.9; for diabetes mellitus, add 0.7; for albuminuria >30 mg/g of creatinine, add 0.7; for stage ≥3 chronic kidney disease (CKD), add 0.9; for cardiovascular disease (CVD), add 1.4; or for both CKD and CVD, add 1.7. We developed a univariate logistic regression model predicting 2-year individual mortality rates. The National Health and Nutrition Examination Survey (NHANES) data set (1999-2004 with deaths through 2006) was used as the target for validation. These 12,515 subjects had a mean age of 48.9±18.1 years, 48% males, 9.5% diabetes, 11.7% albuminuria, 6.8% CVD, 5.4% CKD, and 2.8% both CKD and CVD. Using the risk indicator R alone to predict mortality demonstrated good performance with area under the receiver operating characteristic (ROC) curve of 0.84. Dividing subjects into low-risk (R=0-1.0), low intermediate risk (R>1.0-3.0), high intermediate risk (R>3.0-5.0) or high-risk (R>5.0) categories predicted 2-year mortality rates of 0.52%, 1.44%, 5.19% and 15.24%, respectively, by the prediction model compared with actual mortality rates of 0.29%, 2.48%, 5.13% and 13.40%, respectively. We have validated a model of risk stratification using easily identified clinical characteristics to predict 2-year mortality rates of individuals in the general population. The model demonstrated performance adequate for its potential use for clinical practice and research decisions. PMID:26951378

  18. New consensus definition for acute kidney injury accurately predicts 30-day mortality in cirrhosis with infection

    PubMed Central

    Wong, Florence; O’Leary, Jacqueline G; Reddy, K Rajender; Patton, Heather; Kamath, Patrick S; Fallon, Michael B; Garcia-Tsao, Guadalupe; Subramanian, Ram M.; Malik, Raza; Maliakkal, Benedict; Thacker, Leroy R; Bajaj, Jasmohan S

    2015-01-01

    Background & Aims A consensus conference proposed that cirrhosis-associated acute kidney injury (AKI) be defined as an increase in serum creatinine by >50% from the stable baseline value in <6 months or by ≥0.3mg/dL in <48 hrs. We prospectively evaluated the ability of these criteria to predict mortality within 30 days among hospitalized patients with cirrhosis and infection. Methods 337 patients with cirrhosis admitted with or developed an infection in hospital (56% men; 56±10 y old; model for end-stage liver disease score, 20±8) were followed. We compared data on 30-day mortality, hospital length-of-stay, and organ failure between patients with and without AKI. Results 166 (49%) developed AKI during hospitalization, based on the consensus criteria. Patients who developed AKI had higher admission Child-Pugh (11.0±2.1 vs 9.6±2.1; P<.0001), and MELD scores (23±8 vs17±7; P<.0001), and lower mean arterial pressure (81±16mmHg vs 85±15mmHg; P<.01) than those who did not. Also higher amongst patients with AKI were mortality in ≤30 days (34% vs 7%), intensive care unit transfer (46% vs 20%), ventilation requirement (27% vs 6%), and shock (31% vs 8%); AKI patients also had longer hospital stays (17.8±19.8 days vs 13.3±31.8 days) (all P<.001). 56% of AKI episodes were transient, 28% persistent, and 16% resulted in dialysis. Mortality was 80% among those without renal recovery, higher compared to partial (40%) or complete recovery (15%), or AKI-free patients (7%; P<.0001). Conclusions 30-day mortality is 10-fold higher among infected hospitalized cirrhotic patients with irreversible AKI than those without AKI. The consensus definition of AKI accurately predicts 30-day mortality, length of hospital stay, and organ failure. PMID:23999172

  19. Risk Prediction of One-Year Mortality in Patients with Cardiac Arrhythmias Using Random Survival Forest

    PubMed Central

    Miao, Fen; Cai, Yun-Peng; Zhang, Yu-Xiao; Li, Ye; Zhang, Yuan-Ting

    2015-01-01

    Existing models for predicting mortality based on traditional Cox proportional hazard approach (CPH) often have low prediction accuracy. This paper aims to develop a clinical risk model with good accuracy for predicting 1-year mortality in cardiac arrhythmias patients using random survival forest (RSF), a robust approach for survival analysis. 10,488 cardiac arrhythmias patients available in the public MIMIC II clinical database were investigated, with 3,452 deaths occurring within 1-year followups. Forty risk factors including demographics and clinical and laboratory information and antiarrhythmic agents were analyzed as potential predictors of all-cause mortality. RSF was adopted to build a comprehensive survival model and a simplified risk model composed of 14 top risk factors. The built comprehensive model achieved a prediction accuracy of 0.81 measured by c-statistic with 10-fold cross validation. The simplified risk model also achieved a good accuracy of 0.799. Both results outperformed traditional CPH (which achieved a c-statistic of 0.733 for the comprehensive model and 0.718 for the simplified model). Moreover, various factors are observed to have nonlinear impact on cardiac arrhythmias prognosis. As a result, RSF based model which took nonlinearity into account significantly outperformed traditional Cox proportional hazard model and has great potential to be a more effective approach for survival analysis. PMID:26379761

  20. Application of an autoregressive integrated moving average model for predicting injury mortality in Xiamen, China

    PubMed Central

    Lin, Yilan; Chen, Min; Chen, Guowei; Wu, Xiaoqing; Lin, Tianquan

    2015-01-01

    Objective Injury is currently an increasing public health problem in China. Reducing the loss due to injuries has become a main priority of public health policies. Early warning of injury mortality based on surveillance information is essential for reducing or controlling the disease burden of injuries. We conducted this study to find the possibility of applying autoregressive integrated moving average (ARIMA) models to predict mortality from injuries in Xiamen. Method The monthly mortality data on injuries in Xiamen (1 January 2002 to 31 December 2013) were used to fit the ARIMA model with the conditional least-squares method. The values p, q and d in the ARIMA (p, d, q) model refer to the numbers of autoregressive lags, moving average lags and differences, respectively. The Ljung–Box test was used to measure the ‘white noise’ and residuals. The mean absolute percentage error (MAPE) between observed and fitted values was used to evaluate the predicted accuracy of the constructed models. Results A total of 8274 injury-related deaths in Xiamen were identified during the study period; the average annual mortality rate was 40.99/100 000 persons. Three models, ARIMA (0, 1, 1), ARIMA (4, 1, 0) and ARIMA (1, 1, (2)), passed the parameter (p<0.01) and residual (p>0.05) tests, with MAPE 11.91%, 11.96% and 11.90%, respectively. We chose ARIMA (0, 1, 1) as the optimum model, the MAPE value for which was similar to that of other models but with the fewest parameters. According to the model, there would be 54 persons dying from injuries each month in Xiamen in 2014. Conclusion The ARIMA (0, 1, 1) model could be applied to predict mortality from injuries in Xiamen. PMID:26656013

  1. Model independent predictions for rare top decays with weak coupling

    SciTech Connect

    Datta, Alakabha; Duraisamy, Murugeswaran

    2010-04-01

    Measurements at B factories have provided important constraints on new physics in several rare processes involving the B meson. New physics, if present in the b quark sector may also affect the top sector. In an effective Lagrangian approach, we write down operators, where effects in the bottom and the top sector are related. Assuming the couplings of the operators to be of the same size as the weak coupling g of the standard model and taking into account constraints on new physics from the bottom sector as well as top branching ratios, we make predictions for the rare top decays t{yields}cV, where V={gamma}, Z. We find branching fractions for these decays within possible reach of the LHC. Predictions are also made for t{yields}sW.

  2. Predictive factors of mortality within 30 days in patients with nonvariceal upper gastrointestinal bleeding

    PubMed Central

    Lee, Yoo Jin; Min, Bo Ram; Kim, Eun Soo; Park, Kyung Sik; Cho, Kwang Bum; Jang, Byoung Kuk; Chung, Woo Jin; Hwang, Jae Seok; Jeon, Seong Woo

    2016-01-01

    Background/Aims: Nonvariceal upper gastrointestinal bleeding (NVUGIB) is a common medical emergency that can be life threatening. This study evaluated predictive factors of 30-day mortality in patients with this condition. Methods: A prospective observational study was conducted at a single hospital between April 2010 and November 2012, and 336 patients with symptoms and signs of gastrointestinal bleeding were consecutively enrolled. Clinical characteristics and endoscopic findings were reviewed to identify potential factors associated with 30-day mortality. Results: Overall, 184 patients were included in the study (men, 79.3%; mean age, 59.81 years), and 16 patients died within 30 days (8.7%). Multivariate analyses revealed that comorbidity of diabetes mellitus (DM) or metastatic malignancy, age ≥ 65 years, and hypotension (systolic pressure < 90 mmHg) during hospitalization were significant predictive factors of 30-day mortality. Conclusions: Comorbidity of DM or metastatic malignancy, age ≥ 65 years, and hemodynamic instability during hospitalization were predictors of 30-day mortality in patients with NVUGIB. These results will help guide the management of patients with this condition. PMID:26767858

  3. Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species

    USGS Publications Warehouse

    Then, Amy Y.; Hoenig, John M; Hall, Norman G.; Hewitt, David A.

    2015-01-01

    Many methods have been developed in the last 70 years to predict the natural mortality rate, M, of a stock based on empirical evidence from comparative life history studies. These indirect or empirical methods are used in most stock assessments to (i) obtain estimates of M in the absence of direct information, (ii) check on the reasonableness of a direct estimate of M, (iii) examine the range of plausible M estimates for the stock under consideration, and (iv) define prior distributions for Bayesian analyses. The two most cited empirical methods have appeared in the literature over 2500 times to date. Despite the importance of these methods, there is no consensus in the literature on how well these methods work in terms of prediction error or how their performance may be ranked. We evaluate estimators based on various combinations of maximum age (tmax), growth parameters, and water temperature by seeing how well they reproduce >200 independent, direct estimates of M. We use tenfold cross-validation to estimate the prediction error of the estimators and to rank their performance. With updated and carefully reviewed data, we conclude that a tmax-based estimator performs the best among all estimators evaluated. The tmax-based estimators in turn perform better than the Alverson–Carney method based on tmax and the von Bertalanffy K coefficient, Pauly's method based on growth parameters and water temperature and methods based just on K. It is possible to combine two independent methods by computing a weighted mean but the improvement over the tmax-based methods is slight. Based on cross-validation prediction error, model residual patterns, model parsimony, and biological considerations, we recommend the use of a tmax-based estimator (M=4.899t−0.916max, prediction error = 0.32) when possible and a growth-based method (M=4.118K0.73L−0.33∞ , prediction error = 0.6) otherwise.

  4. Mortality Prediction Model of Septic Shock Patients Based on Routinely Recorded Data

    PubMed Central

    Carrara, Marta; Baselli, Giuseppe; Ferrario, Manuela

    2015-01-01

    We studied the problem of mortality prediction in two datasets, the first composed of 23 septic shock patients and the second composed of 73 septic subjects selected from the public database MIMIC-II. For each patient we derived hemodynamic variables, laboratory results, and clinical information of the first 48 hours after shock onset and we performed univariate and multivariate analyses to predict mortality in the following 7 days. The results show interesting features that individually identify significant differences between survivors and nonsurvivors and features which gain importance only when considered together with the others in a multivariate regression model. This preliminary study on two small septic shock populations represents a novel contribution towards new personalized models for an integration of multiparameter patient information to improve critical care management of shock patients. PMID:26557154

  5. Pulmonary Hypertension an Independent Risk Factor for Death in Intensive Care Unit: Correlation of Hemodynamic Factors with Mortality

    PubMed Central

    Saydain, Ghulam; Awan, Aamir; Manickam, Palaniappan; Kleinow, Paul; Badr, Safwan

    2015-01-01

    OBJECTIVE Critically ill patients with pulmonary hypertension (PH) pose additional challenges due to the existence of right ventricular (RV) dysfunction. The purpose of this study was to assess the impact of hemodynamic factors on the outcome. METHODS We reviewed the records of patients with a diagnosis of PH admitted to the intensive care unit. In addition to evaluating traditional hemodynamic parameters, we defined severe PH as right atrial pressure >20 mmHg, mean pulmonary artery pressure >55 mmHg, or cardiac index (CI) <2 L/min/m2. We also defined the RV functional index (RFI) as pulmonary artery systolic pressure (PASP) adjusted for CI as PASP/CI; increasing values reflect RV dysfunction. RESULTS Fifty-three patients (mean age 60 years, 72% women, 79% Blacks), were included in the study. Severe PH was present in 68% of patients who had higher Sequential Organ Failure Assessment (SOFA) score (6.8 ± 3.3 vs 3.8 ± 1.6; P = 0.001) and overall in-hospital mortality (36% vs 6%; P = 0.02) compared to nonsevere patients, although Acute Physiology and Chronic Health Evaluation (APACHE) II scores (19.9 ± 7.5 vs 18.5 ± 6.04; P = 0.52) were similar and sepsis was more frequent among nonsevere PH patients (31 vs 64%; P = 0.02). Severe PH (P = 0.04), lower mean arterial pressure (P = 0.04), and CI (P = 0.01); need for invasive ventilation (P = 0.02) and vasopressors (P = 0.03); and higher SOFA (P = 0.001), APACHE II (P = 0.03), pulmonary vascular resistance index (PVRI) (P = 0.01), and RFI (P = 0.004) were associated with increased mortality. In a multivariate model, SOFA [OR = 1.45, 95% confidence interval (C.I.) = 1.09–1.93; P = 0.01], PVRI (OR = 1.12, 95% C.I. = 1.02–1.24; P = 0.02), and increasing RFI (OR = 1.06, 95% C.I. = 1.01–1.11; P = 0.01) were independently associated with mortality. CONCLUSION PH is an independent risk factor for mortality in critically ill patients. Composite factors rather than individual hemodynamic parameters are better predictors of

  6. Venovenous extracorporeal membrane oxygenation in adult respiratory failure: Scores for mortality prediction.

    PubMed

    Hsin, Chun-Hsien; Wu, Meng-Yu; Huang, Chung-Chi; Kao, Kuo-Chin; Lin, Pyng-Jing

    2016-06-01

    Despite a potentially effective therapy for adult respiratory failure, a general agreement on venovenous extracorporeal membrane oxygenation (VV-ECMO) has not been reached among institutions due to its invasiveness and high resource usage. To establish consensus on the timing of intervention, large ECMO organizations have published the respiratory extracorporeal membrane oxygenation survival prediction (RESP) score and the ECMOnet score, which allow users to predict hospital mortality for candidates with their pre-ECMO presentations. This study was aimed to test the predictive powers of these published scores in a medium-sized cohort enrolling adults treated with VV-ECMO for acute respiratory failure, and develop an institutional prediction model under the framework of the 3 scores if a superior predictive power could be achieved. This retrospective study included 107 adults who received VV-ECMO for severe acute respiratory failure (a PaO2/FiO2 ratio <70 mm Hg) in a tertiary referral center from 2007 to 2015. Essential demographic and clinical data were collected to calculate the RESP score, the ECMOnet score, and the sequential organ failure assessment (SOFA) score before VV-ECMO. The predictive power of hospital mortality of each score was presented as the area under receiver-operating characteristic curve (AUROC). The multivariate logistic regression was used to develop an institutional prediction model. The surviving to discharge rate was 55% (n = 59). All of the 3 published scores had a real but poor predictive power of hospital mortality in this study. The AUROCs of RESP score, ECMOnet score, and SOFA score were 0.662 (P = 0.004), 0.616 (P = 0.04), and 0.667 (P = 0.003), respectively. An institutional prediction model was established from these score parameters and presented as follows: hospital mortality (Y) = -3.173 + 0.208 × (pre-ECMO SOFA score) + 0.148 × (pre-ECMO mechanical ventilation day) + 1.021

  7. TI-59 programmable calculator program for calculating predicted operative mortality in general surgery.

    PubMed

    Haddad, M; Reiss, R; Lilos, P; Fuchs, C

    1986-01-01

    A program for the TI-59 programmable calculator for calculating predicted postoperative mortality is presented. Input data are based on handy, clinical, non-invasive pre-operative and operative parameters retrieved mostly significant in this respect by former multivariate logistic regression analysis of a broad data-base; their relative weights are incorporated into the program data base as basic coefficients. Considerations employed in its usage are discussed, as well as possible future technical and/or environmental modifications. PMID:3791971

  8. Predicting 1-Year Mortality Rate for Patients Admitted With an Acute Exacerbation of Chronic Obstructive Pulmonary Disease to an Intensive Care Unit: An Opportunity for Palliative Care

    PubMed Central

    Batzlaff, Cassandra M.; Karpman, Craig; Afessa, Bekele; Benzo, Roberto P.

    2015-01-01

    The objective of this study was to develop a model to aid clinicians in better predicting 1-year mortality rate for patients with an acute exacerbation of chronic obstructive pulmonary disease admitted to the medical intensive care unit (ICU) with the goal of earlier initiation of palliative care and end-of-life communications in this patient population. This retrospective cohort study included patients from a medical ICU from April 1, 1995, to November 30, 2009. Data collected from the Acute Physiology and Chronic Health Evaluation III database included demographic characteristics; severity of illness scores; noninvasive and invasive mechanical ventilation time; ICU and hospital length of stay; and ICU, hospital, and 1-year mortality. Statistically significant univariate variables for 1-year mortality were entered into a multivariate model, and the independent variables were used to generate a scoring system to predict 1-year mortality rate. At 1-year follow-up, 295 of 591 patients died (50%). Age and hospital length of stay were identified as independent determinants of mortality at 1 year by using multivariate analysis, and the predictive model developed had an area under the operating curve of 0.68. Bootstrap analysis with 1000 iterations validated the model, age, and hospital length of stay, entered the model 100% of the time (area under the operating curve=0.687; 95% CI, 0.686–0.688). A simple model using age and hospital length of stay may be informative for providers willing to identify patients with chronic obstructive pulmonary disease with high 1-year mortality rate who may benefit from end-of-life communications and from palliative care. PMID:24656805

  9. Temperature multiscale entropy analysis: a promising marker for early prediction of mortality in septic patients.

    PubMed

    Papaioannou, V E; Chouvarda, I G; Maglaveras, N K; Baltopoulos, G I; Pneumatikos, I A

    2013-11-01

    A few studies estimating temperature complexity have found decreased Shannon entropy, during severe stress. In this study, we measured both Shannon and Tsallis entropy of temperature signals in a cohort of critically ill patients and compared these measures with the sequential organ failure assessment (SOFA) score, in terms of intensive care unit (ICU) mortality. Skin temperature was recorded in 21 mechanically ventilated patients, who developed sepsis and septic shock during the first 24 h of an ICU-acquired infection. Shannon and Tsallis entropies were calculated in wavelet-based decompositions of the temperature signal. Statistically significant differences of entropy features were tested between survivors and non-survivors and classification models were built, for predicting final outcome. Significantly reduced Tsallis and Shannon entropies were found in non-survivors (seven patients, 33%) as compared to survivors. Wavelet measurements of both entropy metrics were found to predict ICU mortality better than SOFA, according to a combination of area under the curve, sensitivity and specificity values. Both entropies exhibited similar prognostic accuracy. Combination of SOFA and entropy presented improved the outcome of univariate models. We suggest that reduced wavelet Shannon and Tsallis entropies of temperature signals may complement SOFA in mortality prediction, during the first 24 h of an ICU-acquired infection. PMID:24149496

  10. Using Wind Tunnels to Predict Bird Mortality in Wind Farms: The Case of Griffon Vultures

    PubMed Central

    de Lucas, Manuela; Ferrer, Miguel; Janss, Guyonne F. E.

    2012-01-01

    Background Wind farms have shown a spectacular growth during the last 15 years. Avian mortality through collision with moving rotor blades is well-known as one of the main adverse impacts of wind farms. In Spain, the griffon vulture incurs the highest mortality rates in wind farms. Methodology/Principal Findings As far as we know, this study is the first attempt to predict flight trajectories of birds in order to foresee potentially dangerous areas for wind farm development. We analyse topography and wind flows in relation to flight paths of griffon vultures, using a scaled model of the wind farm area in an aerodynamic wind tunnel, and test the difference between the observed flight paths of griffon vultures and the predominant wind flows. Different wind currents for each wind direction in the aerodynamic model were observed. Simulations of wind flows in a wind tunnel were compared with observed flight paths of griffon vultures. No statistical differences were detected between the observed flight trajectories of griffon vultures and the wind passages observed in our wind tunnel model. A significant correlation was found between dead vultures predicted proportion of vultures crossing those cells according to the aerodynamic model. Conclusions Griffon vulture flight routes matched the predominant wind flows in the area (i.e. they followed the routes where less flight effort was needed). We suggest using these kinds of simulations to predict flight paths over complex terrains can inform the location of wind turbines and thereby reduce soaring bird mortality. PMID:23152764

  11. Serum Calcification Propensity Is a Strong and Independent Determinant of Cardiac and All-Cause Mortality in Kidney Transplant Recipients.

    PubMed

    Dahle, D O; Åsberg, A; Hartmann, A; Holdaas, H; Bachtler, M; Jenssen, T G; Dionisi, M; Pasch, A

    2016-01-01

    Calcification of the vasculature is associated with cardiovascular disease and death in kidney transplant recipients. A novel functional blood test measures calcification propensity by quantifying the transformation time (T50 ) from primary to secondary calciprotein particles. Accelerated T50 indicates a diminished ability of serum to resist calcification. We measured T50 in 1435 patients 10 weeks after kidney transplantation during 2000-2003 (first era) and 2009-2012 (second era). Aortic pulse wave velocity (APWV) was measured at week 10 and after 1 year in 589 patients from the second era. Accelerated T50 was associated with diabetes, deceased donor, first transplant, rejection, stronger immunosuppression, first era, higher serum phosphate and lower albumin. T50 was not associated with progression of APWV. During a median follow-up of 5.1 years, 283 patients died, 70 from myocardial infarction, cardiac failure or sudden death. In Cox regression models, accelerated T50 was strongly and independently associated with both all-cause and cardiac mortality, low versus high T50 quartile: hazard ratio 1.60 (95% confidence interval [CI] 1.00-2.57), ptrend   = 0.03, and 3.60 (95% CI 1.10-11.83), ptrend   = 0.02, respectively. In conclusion, calcification propensity (T50 ) was strongly associated with all-cause and cardiac mortality of kidney transplant recipients, potentially via a cardiac nonAPWV-related pathway. Whether therapeutic improvement of T50 improves outcome awaits clarification in a randomized trial. PMID:26375609

  12. N-terminal pro b-type natriuretic peptide (NT-pro-BNP) –based score can predict in-hospital mortality in patients with heart failure

    PubMed Central

    Huang, Ya-Ting; Tseng, Yuan-Teng; Chu, Tung-Wei; Chen, John; Lai, Min-Yu; Tang, Woung-Ru; Shiao, Chih-Chung

    2016-01-01

    Serum N-terminal pro b-type natriuretic peptide (NT-pro-BNP) testing is recommended in the patients with heart failure (HF). We hypothesized that NT-pro-BNP, in combination with other clinical factors in terms of a novel NT-pro BNP-based score, may provide even better predictive power for in-hospital mortality among patients with HF. A retrospective study enrolled adult patients with hospitalization-requiring HF who fulfilled the predefined criteria during the period from January 2011 to December 2013. We proposed a novel scoring system consisting of several independent predictors including NT-pro-BNP for predicting in-hospital mortality, and then compared the prognosis-predictive power of the novel NT-pro BNP-based score with other prognosis-predictive scores. A total of 269 patients were enrolled in the current study. Factors such as “serum NT-pro-BNP level above 8100 mg/dl,” “age above 79 years,” “without taking angiotensin converting enzyme inhibitors/angiotensin receptor blocker,” “without taking beta-blocker,” “without taking loop diuretics,” “with mechanical ventilator support,” “with non-invasive ventilator support,” “with vasopressors use,” and “experience of cardio-pulmonary resuscitation” were found as independent predictors. A novel NT-pro BNP-based score composed of these risk factors was proposed with excellent predictability for in-hospital mortality. The proposed novel NT-pro BNP-based score was extremely effective in predicting in-hospital mortality in HF patients. PMID:27411951

  13. N-terminal pro b-type natriuretic peptide (NT-pro-BNP) -based score can predict in-hospital mortality in patients with heart failure.

    PubMed

    Huang, Ya-Ting; Tseng, Yuan-Teng; Chu, Tung-Wei; Chen, John; Lai, Min-Yu; Tang, Woung-Ru; Shiao, Chih-Chung

    2016-01-01

    Serum N-terminal pro b-type natriuretic peptide (NT-pro-BNP) testing is recommended in the patients with heart failure (HF). We hypothesized that NT-pro-BNP, in combination with other clinical factors in terms of a novel NT-pro BNP-based score, may provide even better predictive power for in-hospital mortality among patients with HF. A retrospective study enrolled adult patients with hospitalization-requiring HF who fulfilled the predefined criteria during the period from January 2011 to December 2013. We proposed a novel scoring system consisting of several independent predictors including NT-pro-BNP for predicting in-hospital mortality, and then compared the prognosis-predictive power of the novel NT-pro BNP-based score with other prognosis-predictive scores. A total of 269 patients were enrolled in the current study. Factors such as "serum NT-pro-BNP level above 8100 mg/dl," "age above 79 years," "without taking angiotensin converting enzyme inhibitors/angiotensin receptor blocker," "without taking beta-blocker," "without taking loop diuretics," "with mechanical ventilator support," "with non-invasive ventilator support," "with vasopressors use," and "experience of cardio-pulmonary resuscitation" were found as independent predictors. A novel NT-pro BNP-based score composed of these risk factors was proposed with excellent predictability for in-hospital mortality. The proposed novel NT-pro BNP-based score was extremely effective in predicting in-hospital mortality in HF patients. PMID:27411951

  14. Cholesterol-independent effects of atorvastatin prevent cardiovascular morbidity and mortality in a mouse model of atherosclerotic plaque rupture.

    PubMed

    Roth, Lynn; Rombouts, Miche; Schrijvers, Dorien M; Martinet, Wim; De Meyer, Guido R Y

    2016-05-01

    Because cholesterol-independent effects of statins are difficult to determine in patients, we studied these pleiotropic effects in apolipoprotein E-deficient (ApoE(-/-)) mice with a mutation in the fibrillin-1 gene (Fbn1(C1039G+/-)). These mice develop exacerbated atherosclerosis and spontaneous plaque ruptures, accompanied by myocardial infarctions (MI) and sudden death. ApoE(-/-)Fbn1(C1039G+/-) mice were fed a Western diet (WD). At week 10 of WD, mice were divided in a control (WD), atorvastatin (10mg/kg/day + WD) and cholesterol withdrawal group (cholW, normal chow). The latter was included to compare the effects of atorvastatin with dietary lipid lowering. Fifteen weeks later, the mice were sacrificed. CholW, but not atorvastatin, reduced plasma cholesterol. Survival increased from 50% to 90% both in cholW and atorvastatin treated mice. CholW as well as atorvastatin treatment increased plaque collagen and fibrous cap thickness, but they did not affect the amount of plaque macrophages and T cells. MMP-2 and MMP-9 activity was significantly lower and the expression of MMP-12, TNF-α and IL-1β was strongly reduced in both treatment groups. Blood monocytes and neutrophils returned to baseline levels (ApoE(-/-) mice before the onset of atherosclerosis). Importantly, atorvastatin but not cholW significantly reduced coronary stenosis (from 50 to 28%) and the occurrence of MI (from 43 to 10%). In conclusion, independent of cholesterol lowering, atorvastatin significantly reduced mortality, plaque vulnerability and inflammation to the same extent as cholW. In addition, atorvastatin but not cholW reduced coronary stenosis and the occurrence of MI. These data unequivocally illustrate the significance of the pleiotropic effects of atorvastatin in the prevention of cardiovascular morbidity and mortality. PMID:26826559

  15. BNP, NTproBNP, CMBK, and MMP-2 predict mortality in severe Chagas cardiomyopathy

    PubMed Central

    Sherbuk, Jacqueline E.; Okamoto, Emi E.; Marks, Morgan A.; Fortuny, Enzo; Clark, Eva H.; Galdos-Cardenas, Gerson; Vasquez-Villar, Angel; Fernandez, Antonio B.; Crawford, Thomas C.; Do, Rose Q.; Flores-Franco, Jorge Luis; Colanzi, Rony; Gilman, Robert H.; Bern, Caryn

    2015-01-01

    Background Chagas cardiomyopathy is a chronic sequela of infection by the parasite, Trypanosoma cruzi. Advanced cardiomyopathy is associated with a high mortality rate, and clinical characteristics have been used to predict mortality risk. Though multiple biomarkers have been associated with Chagas cardiomyopathy, it is unknown how these are related to survival. Objectives Our study aimed to identify biomarkers associated with mortality in individuals with severe Chagas cardiomyopathy in an urban Bolivian hospital. Methods The population included individuals with and without T. cruzi infection recruited in an urban hospital in Santa Cruz, Bolivia. Baseline characteristics, ECG findings, medications, and serum cardiac biomarker levels (BNP, NTproBNP, CKMB, troponin I, MMP-2, MMP-9, TIMP-1, TIMP-2, TGFb1, and TGFb2) were ascertained. Echocardiograms were preferentially performed on those with cardiac symptoms or electrocardiogram abnormalities. Participants were contacted by phone approximately 1 year after initial evaluation; deaths were reported by family members. Receiver operating characteristic curves were used to optimize cut-off values for each marker. For markers with area under curve > 0.55, Cox proportional hazards models were performed to determine the hazards ratio (HR) and 95% confidence interval (CI) for the association of each marker with mortality. Results The median follow-up time was 14.1 months (interquartile range 12.5- 16.7 months). Of 254 individuals with complete cardiac data, 220 (87%) had follow-up data. Of 50 patients with severe Chagas cardiomyopathy, 20 (40%) had died. Higher baseline levels of BNP (HR[95% CI]:3.1 [1.2, 8.4]), NTproBNP (4.4[1.8,11.0]), CKMB (3.3[1.3, 8.0]), and MMP-2 (4.2[1.5, 11.8]) were significantly associated with subsequent mortality. Conclusions Severe Chagas cardiomyopathy is associated with high short-term mortality. BNP, NTproBNP, CKMB and MMP2 have added predictive value for mortality, even in the presence of

  16. Telomerase-Independent Paths to Immortality in Predictable Cancer Subtypes

    PubMed Central

    Durant, Stephen T

    2012-01-01

    The vast majority of cancers commandeer the activity of telomerase - the remarkable enzyme responsible for prolonging cellular lifespan by maintaining the length of telomeres at the ends of chromosomes. Telomerase is only normally active in embryonic and highly proliferative somatic cells. Thus, targeting telomerase is an attractive anti-cancer therapeutic rationale currently under investigation in various phases of clinical development. However, previous reports suggest that an average of 10-15% of all cancers lose the functional activity of telomerase and most of these turn to an Alternative Lengthening of Telomeres pathway (ALT). ALT-positive tumours will therefore not respond to anti-telomerase therapies and there is a real possibility that such drugs would be toxic to normal telomerase-utilising cells and ultimately select for resistant cells that activate an ALT mechanism. ALT exploits certain DNA damage response (DDR) components to counteract telomere shortening and rapid trimming. ALT has been reported in many cancer subtypes including sarcoma, gastric carcinoma, central nervous system malignancies, subtypes of kidney (Wilm's Tumour) and bladder carcinoma, mesothelioma, malignant melanoma and germ cell testicular cancers to name but a few. A recent heroic study that analysed ALT in over six thousand tumour samples supports this historical spread, although only reporting an approximate 4% prevalence. This review highlights the various methods of ALT detection, unravels several molecular ALT models thought to promote telomere maintenance and elongation, spotlights the DDR components known to facilitate these and explores why certain tissues are more likely to subvert DDR away from its usually protective functions, resulting in a predictive pattern of prevalence in specific cancer subsets. PMID:22315652

  17. Type-I interferon response affects an inoculation dose-independent mortality in mice following Japanese encephalitis virus infection

    PubMed Central

    2014-01-01

    might explain the inoculation dose-independent mortality in mice caused by Japanese encephalitis virus. PMID:24903089

  18. Ankle-brachial blood pressure index predicts cardiovascular events and mortality in Japanese patients with chronic kidney disease not on dialysis.

    PubMed

    Yoshitomi, Ryota; Nakayama, Masaru; Ura, Yoriko; Kuma, Kazuyoshi; Nishimoto, Hitomi; Fukui, Akiko; Ikeda, Hirofumi; Tsuchihashi, Takuya; Tsuruya, Kazuhiko; Kitazono, Takanari

    2014-12-01

    The ankle-brachial blood pressure index (ABPI) has been recognized to have a predictive value for cardiovascular (CV) events and mortality in general or dialysis populations. However, the associations between ABPI and those outcomes have not been fully investigated in predialysis patients. The present study aimed to clarify the relationships between ABPI and both CV events and mortality in Japanese chronic kidney disease (CKD) patients not on dialysis. In this prospective observational study, we enrolled 320 patients with CKD stages 3-5 who were not on dialysis. At baseline, ABPI was examined and a low ABPI was defined as <0.9. CV events and all-cause deaths were examined in each patient. A Cox proportional hazards model was applied to determine the risk factors for CV events, as well as for mortality from CV and all causes. The median follow-up period was 30 months. CV events occurred in 56 patients and all-cause deaths occurred in 48, including 20 CV deaths. Multivariate analysis showed that age and low ABPI were risk factors for CV events. It was demonstrated that age, a history of cerebrovascular disease and low ABPI were determined as independent risk factors for CV mortality. In addition, age, body mass index and low ABPI were independently associated with all-cause mortality. In patients with CKD, low ABPI during the predialysis period is independently associated with poor survival and CV events, suggesting the usefulness of measuring ABPI for predicting CV events and patient survival in CKD. PMID:25056682

  19. Serum creatinine level, a surrogate of muscle mass, predicts mortality in critically ill patients.

    PubMed

    Thongprayoon, Charat; Cheungpasitporn, Wisit; Kashani, Kianoush

    2016-05-01

    Serum creatinine (SCr) has been widely used to estimate glomerular filtration rate (GFR). Creatinine generation could be reduced in the setting of low skeletal muscle mass. Thus, SCr has also been used as a surrogate of muscle mass. Low muscle mass is associated with reduced survival in hospitalized patients, especially in the intensive care unit (ICU) settings. Recently, studies have demonstrated high mortality in ICU patients with low admission SCr levels, reflecting that low muscle mass or malnutrition, are associated with increased mortality. However, SCr levels can also be influenced by multiple GFR- and non-GFR-related factors including age, diet, exercise, stress, pregnancy, and kidney disease. Imaging techniques, such as computed tomography (CT) and ultrasound, have recently been studied for muscle mass assessment and demonstrated promising data. This article aims to present the perspectives of the uses of SCr and other methods for prediction of muscle mass and outcomes of ICU patients. PMID:27162688

  20. Serum creatinine level, a surrogate of muscle mass, predicts mortality in critically ill patients

    PubMed Central

    Thongprayoon, Charat; Cheungpasitporn, Wisit

    2016-01-01

    Serum creatinine (SCr) has been widely used to estimate glomerular filtration rate (GFR). Creatinine generation could be reduced in the setting of low skeletal muscle mass. Thus, SCr has also been used as a surrogate of muscle mass. Low muscle mass is associated with reduced survival in hospitalized patients, especially in the intensive care unit (ICU) settings. Recently, studies have demonstrated high mortality in ICU patients with low admission SCr levels, reflecting that low muscle mass or malnutrition, are associated with increased mortality. However, SCr levels can also be influenced by multiple GFR- and non-GFR-related factors including age, diet, exercise, stress, pregnancy, and kidney disease. Imaging techniques, such as computed tomography (CT) and ultrasound, have recently been studied for muscle mass assessment and demonstrated promising data. This article aims to present the perspectives of the uses of SCr and other methods for prediction of muscle mass and outcomes of ICU patients. PMID:27162688

  1. Development and validation of a risk calculator for prediction of mortality after infrainguinal bypass surgery

    PubMed Central

    Gupta, Prateek K.; Ramanan, Bala; Lynch, Thomas G.; Sundaram, Abhishek; MacTaggart, Jason N.; Gupta, Himani; Fang, Xiang; Pipinos, Iraklis I.

    2012-01-01

    Objective For peripheral arterial disease, infrainguinal bypass grafting (BPG) carries a higher perioperative risk compared with peripheral endovascular procedures. The choice between the open and endovascular therapies is to an extent dependent on the expected periprocedural risk associated with each. Tools for estimating the periprocedural risk in patients undergoing BPG have not been reported in the literature. The objective of this study was to develop and validate a calculator to estimate the risk of perioperative mortality ≤30 days of elective BPG. Methods We identified 9556 patients (63.9% men) who underwent elective BPG from the 2007 to 2009 National Surgical Quality Improvement Program data sets. Multivariable logistic regression analysis was performed to identify risk factors associated with 30-day perioperative mortality. Bootstrapping was used for internal validation. The risk factors were subsequently used to develop a risk calculator. Results Patients had a median age of 68 years. The 30-day mortality rate was 1.8% (n = 170). Multivariable logistic regression analysis identified seven preoperative predictors of 30-day mortality: increasing age, systemic inflammatory response syndrome, chronic corticosteroid use, chronic obstructive pulmonary disease, dependent functional status, dialysis dependence, and lower extremity rest pain. Bootstrapping was used for internal validation. The model demonstrated excellent discrimination (C statistic, 0.81; bias-corrected C statistic, 0.81) and calibration. The validated risk model was used to develop an interactive risk calculator using the logistic regression equation. Conclusions The validated risk calculator has excellent predictive ability for 30-day mortality in a patient after an elective BPG. It is anticipated to aid in surgical decision making, informed patient consent, preoperative optimization, and consequently, risk reduction. PMID:22632800

  2. Oxidative Stress Predicts All-Cause Mortality in HIV-Infected Patients

    PubMed Central

    Masiá, Mar; Padilla, Sergio; Fernández, Marta; Rodríguez, Carmen; Moreno, Ana; Oteo, Jose A.; Antela, Antonio; Moreno, Santiago; del Amo, Julia; Gutiérrez, Félix

    2016-01-01

    Objective We aimed to assess whether oxidative stress is a predictor of mortality in HIV-infected patients. Methods We conducted a nested case-control study in CoRIS, a contemporary, multicentre cohort of HIV-infected patients, antiretroviral-naïve at entry, launched in 2004. Cases were patients who died with available stored plasma samples collected. Two age and sex-matched controls for each case were selected. We measured F2-isoprostanes (F2-IsoPs) and malondialdehyde (MDA) plasma levels in the first blood sample obtained after cohort engagement. Results 54 cases and 93 controls were included. Median F2-IsoPs and MDA levels were significantly higher in cases than in controls. When adjustment was performed for age, HIV-transmission category, CD4 cell count and HIV viral load at cohort entry, and subclinical inflammation measured with highly-sensitive C-reactive protein (hsCRP), the association of F2-IsoPs with mortality remained significant (adjusted OR per 1 log10 increase, 2.34 [1.23–4.47], P = 0.009). The association of MDA with mortality was attenuated after adjustment: adjusted OR (95% CI) per 1 log10 increase, 2.05 [0.91–4.59], P = 0.080. Median hsCRP was also higher in cases, and it also proved to be an independent predictor of mortality in the adjusted analysis: OR (95% CI) per 1 log10 increase, 1.39 (1.01–1.91), P = 0.043; and OR (95% CI) per 1 log10 increase, 1.46 (1.07–1.99), P = 0.014, respectively, when adjustment included F2-IsoPs and MDA. Conclusion Oxidative stress is a predictor of all-cause mortality in HIV-infected patients. For plasma F2-IsoPs, this association is independent of HIV-related factors and subclinical inflammation. PMID:27111769

  3. Hematological Parameters Improve Prediction of Mortality and Secondary Adverse Events in Coronary Angiography Patients

    PubMed Central

    Gijsberts, Crystel M.; den Ruijter, Hester M.; de Kleijn, Dominique P.V.; Huisman, Albert; ten Berg, Maarten J.; van Wijk, Richard H.A.; Asselbergs, Folkert W.; Voskuil, Michiel; Pasterkamp, Gerard; van Solinge, Wouter W.; Hoefer, Imo E.

    2015-01-01

    Abstract Prediction of primary cardiovascular events has been thoroughly investigated since the landmark Framingham risk score was introduced. However, prediction of secondary events after initial events of coronary artery disease (CAD) poses a new challenge. In a cohort of coronary angiography patients (n = 1760), we examined readily available hematological parameters from the UPOD (Utrecht Patient Oriented Database) and their addition to prediction of secondary cardiovascular events. Backward stepwise multivariable Cox regression analysis was used to test their ability to predict death and major adverse cardiovascular events (MACE). Continuous net reclassification improvement (cNRI) and integrated discrimination improvement (IDI) measures were calculated for the hematological parameters on top of traditional risk factors to assess prediction improvement. Panels of 3 to 8 hematological parameters significantly improved prediction of death and adverse events. The IDIs ranged from 0.02 to 0.07 (all P < 0.001) among outcome measures and the cNRIs from 0.11 to 0.40 (P < 0.001 in 5 of 6 outcome measures). In the hematological panels red cell distribution width (RDW) appeared most often. The multivariable adjusted hazard ratio of RDW per 1 standard deviation (SD) increase for MACE was 1.19 [1.08–1.32], P < 0.001. Routinely measured hematological parameters significantly improved prediction of mortality and adverse events in coronary angiography patients. Accurately indicating high-risk patients is of paramount importance in clinical decision-making. PMID:26559287

  4. Hepcidin-25 in Diabetic Chronic Kidney Disease Is Predictive for Mortality and Progression to End Stage Renal Disease

    PubMed Central

    Wagner, Martin; Ashby, Damien R.; Kurtz, Caroline; Alam, Ahsan; Busbridge, Mark; Raff, Ulrike; Zimmermann, Josef; Heuschmann, Peter U.; Wanner, Christoph; Schramm, Lothar

    2015-01-01

    Background Anemia is common and is associated with impaired clinical outcomes in diabetic chronic kidney disease (CKD). It may be explained by reduced erythropoietin (EPO) synthesis, but recent data suggest that EPO-resistance and diminished iron availability due to inflammation contribute significantly. In this cohort study, we evaluated the impact of hepcidin-25—the key hormone of iron-metabolism—on clinical outcomes in diabetic patients with CKD along with endogenous EPO levels. Methods 249 diabetic patients with CKD of any stage, excluding end-stage renal disease (ESRD), were enrolled (2003–2005), if they were not on EPO-stimulating agent and iron therapy. Hepcidin-25 levels were measured by radioimmunoassay. The association of hepcidin-25 at baseline with clinical variables was investigated using linear regression models. All-cause mortality and a composite endpoint of CKD progression (ESRD or doubling of serum creatinine) were analyzed by Cox proportional hazards models. Results Patients (age 67 yrs, 53% male, GFR 51 ml/min, hemoglobin 131 g/L, EPO 13.5 U/L, hepcidin-25 62.0 ng/ml) were followed for a median time of 4.2 yrs. Forty-nine patients died (19.7%) and forty (16.1%) patients reached the composite endpoint. Elevated hepcidin levels were independently associated with higher ferritin-levels, lower EPO-levels and impaired kidney function (all p<0.05). Hepcidin was related to mortality, along with its interaction with EPO, older age, greater proteinuria and elevated CRP (all p<0.05). Hepcidin was also predictive for progression of CKD, aside from baseline GFR, proteinuria, low albumin- and hemoglobin-levels and a history of CVD (all p<0.05). Conclusions We found hepcidin-25 to be associated with EPO and impaired kidney function in diabetic CKD. Elevated hepcidin-25 and EPO-levels were independent predictors of mortality, while hepcidin-25 was also predictive for progression of CKD. Both hepcidin-25 and EPO may represent important prognostic factors

  5. The Minimum Data Set 2.0: a functional assessment to predict mortality in nursing home residents.

    PubMed

    Abicht-Swensen, L M; Debner, L K

    1999-01-01

    Measures of functional assessment, such as the Karnofsky Scale, the Modified ADL Scale, and the Descriptive Scale, have been used to predict appropriateness for hospice care. A tool is needed to assess functional status across all treatment settings, including acute care, long-term care, and hospice. The objective of this paper is to determine whether the Minimum Data Set, when utilized in conjunction with physical assessment tools to determine prognosis, is accurate in predicting short-term mortality in nursing home residents. The paper has been designed as a retrospective study of residents in 24 Minnesota nursing homes who were referred to a hospice program. The study included 199 patients from 30 to 107 years of age. Functional variables, as triggered by the Minimum Data Set, have a direct correlation to patient mortality within three months of the documented observation of the triggered variable, and are the main outcome measure. Of a total of 199 patients, 147 patients (74 percent) died within 15 days of a documented significant decline in the Minimum Data Set in areas of cognitive function, communication, activities of daily living, incontinence, and nutrition. Age, gender, diagnosis, and significant medical data received from the nursing home staff at the time of referral to hospice were applied to the Karnofsky Scale, the Modified ADL Scale, the Descriptive Scale, and the Minimum Data Set to determine if a resident assessment protocol (RAP) would be triggered by these data. The data were then analyzed to determine whether there existed a correlation between a significant change, as documented on the Minimum Data Set, and subsequent death of the patient. If there existed a correlation, the data were further studied to determine consistency in the categories of change that might demonstrate predictors of short-term mortality in nursing home residents. A decline in functional status, as documented on the Minimum Data Set 2.0 in the areas of cognitive

  6. Delirium and other clinical factors with Clostridium difficile infection that predict mortality in hospitalized patients

    PubMed Central

    Archbald-Pannone, Laurie R.; McMurry, Timothy L.; Guerrant, Richard L.; Warren, Cirle A.

    2015-01-01

    Background Clostridium difficile infection (CDI) severity has increased, especially among hospitalized elderly. We evaluated clinical factors to predict mortality following CDI. Methods We collected data from inpatients diagnosed with CDI at US academic medical center (HSR-IRB# 13630). We evaluated age, Charlson comorbidity index (CCI), admission from a long-term care facility (LTCF), intensive care unit (ICU) at time of diagnosis, white blood cell count (WBC), blood urea nitrogen (BUN), low body mass index (BMI), and delirium as possible predictors. A parsimonious predictive model was chosen using Akaike information criterion (AIC) and a best subsets model selection algorithm. Area under the ROC curve was used to assess the model’s comparative; with AIC as selection criterion for all subsets to measure fit and control for over-fitting. Results From 362 subjects, the selected model included CCI, WBC, BUN, ICU, and delirium. The logistic regression coefficients were converted to a points scale and calibrated so that each unit on the CCI contributed 2 points, ICU contributed 5, unit of WBC (natural log scale) contributed 3, unit of BUN contributed 5, and delirium contributed 11. Discussion Our model shows substantial ability to predict short term mortality in patients hospitalized with CDI. Conclusion Patients who were diagnosed in the ICU and developed delirium are at highest risk for dying within 30 days of CDI diagnosis. PMID:25920706

  7. An Integrated Framework for Improved Stream Temperature Predictions to Mitigate Fish Mortality

    NASA Astrophysics Data System (ADS)

    Caldwell, R. J.; Danner, E.; Pike, A.; Rajagopalan, B.; Melton, F. S.; Lindley, S.; Nemani, R. R.

    2009-12-01

    In 2004, the National Marine Fisheries Service (NMFS) issued a Biological Opinion (BiOp) to outline the decision support system for water allocations in the Central Valley Project (CVP) with respect to impacts on threatened and endangered species in the Sacramento River Basin. Peer-review of the BiOp identified fundamental flaws in two critical components, the stream temperature and fish mortality models, due to limitations of the proposed methods in both temporal and spatial resolution. To address these issues, an integrated framework was proposed that would result in the development of a suite of decision support tools (DSTs) for resource managers. The overall approach is to utilize satellite-derived inputs in ecological and numerical weather prediction models to provide environmental inputs to the stream temperature models at increased temporal and spatial resolutions. The higher-resolution stream temperature forecasts can then be implemented in the fish mortality models. Additionally, the framework includes the development of stochastic weather generator software and statistical modeling tools to address both short- (e.g., daily) and long-term (e.g., seasonal, annual) predictions of a suite of hydrometeorological variables, including stream temperature. By integrating state-of-the-art modeling systems with statistical analysis and prediction methods, a comprehensive set of DSTs can be developed that will best guide water resource management decisions in the CVP. We will describe the proposed decision support system framework in an overview fashion to highlight the integrated and easily-transferable design of the project.

  8. Depth of Bacterial Invasion in Resected Intestinal Tissue Predicts Mortality in Surgical Necrotizing Enterocolitis

    PubMed Central

    Remon, Juan I.; Amin, Sachin C.; Mehendale, Sangeeta R.; Rao, Rakesh; Luciano, Angel A.; Garzon, Steven A.; Maheshwari, Akhil

    2015-01-01

    Objective Up to a third of all infants who develop necrotizing enterocolitis (NEC) require surgical resection of necrotic bowel. We hypothesized that the histopathological findings in surgically-resected bowel can predict the clinical outcome of these infants. Study design We reviewed the medical records and archived pathology specimens from all patients who underwent bowel resection/autopsy for NEC at a regional referral center over a 10-year period. Pathology specimens were graded for the depth and severity of necrosis, inflammation, bacteria invasion, and pneumatosis, and histopathological findings were correlated with clinical outcomes. Results We performed clinico-pathological analysis on 33 infants with confirmed NEC, of which 18 (54.5%) died. Depth of bacterial invasion in resected intestinal tissue predicted death from NEC (odds ratio 5.39 per unit change in the depth of bacterial invasion, 95% confidence interval 1.33-21.73). The presence of transmural necrosis and bacteria in the surgical margins of resected bowel was also associated with increased mortality. Conclusions Depth of bacterial invasion in resected intestinal tissue predicts mortality in surgical NEC. PMID:25950918

  9. Nurse-led risk assessment/management clinics reduce predicted cardiac morbidity and mortality in claudicants.

    PubMed

    Hatfield, Josephine; Gulati, Sumit; Abdul Rahman, Morhisham N A; Coughlin, Patrick A; Chetter, Ian C

    2008-12-01

    Nurse-led assessment/management of risk factors is effective in many chronic medical conditions. We aimed to evaluate whether this finding was true for patients with intermittent claudication and to analyze its impact on patient-reported quality of life and predicted mortality due to coronary heart disease. We prospectively studied a series of 78 patients (51 men; median age, 65 years [IQR: 56-74 years]), diagnosed with intermittent claudication and referred to a nurse-led risk assessment/management clinic (NLC) from a consultant-led vascular surgical clinic. The NLC used clinical care pathways to manage antiplatelet medication, smoking cessation, hyperlipidemia, hypertension, and diabetes and to provide exercise advice. All patients were reassessed at a 3 months. Medication compliance, smoking status, fasting lipid profiles, blood pressure, and HbA1c were recorded. Disease-specific quality of life was assessed using King's College VascuQoL and predicted cardiac morbidity and mortality were calculated using the PROCAM and Framingham risk scores. We found that NLC enrollment produced an antiplatelet and a statin compliance of 100%, a smoking cessation rate of 17% (9 patients) and significant improvements in total cholesterol (median, 5.2-4.5 mmol/l), LDL (median, 3.1-2.5 mmol/l) and triglyceride (median, 1.7-1.4 mmol/l) levels. Significant disease-specific quality of life improvements and significant reduction in both the PROCAM (14% to 10%) and Framingham (14% to 11%) coronary risk scores were observed. Providing care at NLCs for claudicants is effective in assessing and managing risk factors, improves disease-specific quality of life and reduces predicted morbidity and mortality due to coronary heart disease. PMID:19022170

  10. Progressive rise in red blood cell distribution width predicts mortality and cardiovascular events in end-stage renal disease patients.

    PubMed

    Yoon, Hye Eun; Kim, Sung Jun; Hwang, Hyeon Seok; Chung, Sungjin; Yang, Chul Woo; Shin, Seok Joon

    2015-01-01

    Red blood cell distribution width (RDW) is a robust marker of adverse clinical outcomes in various populations. However, the clinical significance of a progressive rise in RDW is undetermined in end-stage renal disease (ESRD) patients. The purpose of this study was to determine the prognostic importance of a change in RDW in ESRD patients. Three hundred twenty-six incident dialysis patients were retrospectively analyzed. Temporal changes in RDW during 12 months after dialysis initiation were assessed by calculating the coefficients by linear regression. Patients were divided into two groups: an RDW-decreased group who had negative coefficient values (n = 177) and an RDW-increased group who had positive values (n = 149). The associations between rising RDW and mortality and cardiovascular (CV) events were investigated. During a median follow-up of 2.7 years (range, 1.0-7.7 years), 75 deaths (24.0%) and 60 non-fatal CV events (18.4%) occurred. The event-free survival rate for the composite of end-points was lower in the RDW-increased group (P = 0.004). After categorizing patients according to baseline RDW, the event-free survival rate was lowest in patients with a baseline RDW >14.9% and increased RDW, and highest in patients with a baseline RDW ≤14.9% and decreased RDW (P = 0.02). In multivariate analysis, rising RDW was independently associated with the composite of end-points (hazard ratio = 1.75, P = 0.007), whereas the baseline RDW was not. This study shows that a progressive rise in RDW independently predicted mortality and CV events in ESRD patients. Rising RDW could be an additive predictor for adverse CV outcomes ESRD patients. PMID:25961836

  11. Elevated Circulating Osteoprotegerin and Renal Dysfunction Predict 15-Year Cardiovascular and All-Cause Mortality: A Prospective Study of Elderly Women

    PubMed Central

    Zhu, Kun; Lim, Ee M.; Bollerslev, Jens; Prince, Richard L.

    2015-01-01

    Background Data on the predictive role of estimated glomerular filtration rate (eGFR) and osteoprotegerin (OPG) for cardiovascular (CVD) and all-cause mortality risk have been presented by our group and others. We now present data on the interactions between OPG with stage I to III chronic kidney disease (CKD) for all-cause and CVD mortality. Methods and Results The setting was a 15-year study of 1,292 women over 70 years of age initially randomized to a 5-year controlled trial of 1.2 g of calcium daily. Serum OPG and creatinine levels with complete mortality records obtained from the Western Australian Data Linkage System were available. Interactions were detected between OPG levels and eGFR for both CVD and all-cause mortality (P < 0.05). Compared to participants with eGFR ≥60ml/min/1.73m2 and low OPG, participants with eGFR of <60ml/min/1.73m2 and elevated OPG had a 61% and 75% increased risk of all-cause and CVD mortality respectively (multivariate-adjusted HR, 1.61; 95% CI, 1.27-2.05; P < 0.001 and HR, 1.75; 95% CI, 1.22-2.55; P = 0.003). This relationship with mortality was independent of decline in renal function (P<0.05). Specific causes of death in individuals with elevated OPG and stage III CKD highlighted an excess of coronary heart disease, renal failure and chronic obstructive pulmonary disease deaths (P < 0.05). Conclusion The association between elevated OPG levels with CVD and all-cause mortality was more evident in elderly women with poorer renal function. Assessment of OPG in the context of renal function may be important in studies investigating its relationship with all-cause and CVD mortality. PMID:26222774

  12. Using data-driven rules to predict mortality in severe community acquired pneumonia.

    PubMed

    Wu, Chuang; Rosenfeld, Roni; Clermont, Gilles

    2014-01-01

    Prediction of patient-centered outcomes in hospitals is useful for performance benchmarking, resource allocation, and guidance regarding active treatment and withdrawal of care. Yet, their use by clinicians is limited by the complexity of available tools and amount of data required. We propose to use Disjunctive Normal Forms as a novel approach to predict hospital and 90-day mortality from instance-based patient data, comprising demographic, genetic, and physiologic information in a large cohort of patients admitted with severe community acquired pneumonia. We develop two algorithms to efficiently learn Disjunctive Normal Forms, which yield easy-to-interpret rules that explicitly map data to the outcome of interest. Disjunctive Normal Forms achieve higher prediction performance quality compared to a set of state-of-the-art machine learning models, and unveils insights unavailable with standard methods. Disjunctive Normal Forms constitute an intuitive set of prediction rules that could be easily implemented to predict outcomes and guide criteria-based clinical decision making and clinical trial execution, and thus of greater practical usefulness than currently available prediction tools. The Java implementation of the tool JavaDNF will be publicly available. PMID:24699007

  13. Using Data-Driven Rules to Predict Mortality in Severe Community Acquired Pneumonia

    PubMed Central

    Wu, Chuang; Rosenfeld, Roni; Clermont, Gilles

    2014-01-01

    Prediction of patient-centered outcomes in hospitals is useful for performance benchmarking, resource allocation, and guidance regarding active treatment and withdrawal of care. Yet, their use by clinicians is limited by the complexity of available tools and amount of data required. We propose to use Disjunctive Normal Forms as a novel approach to predict hospital and 90-day mortality from instance-based patient data, comprising demographic, genetic, and physiologic information in a large cohort of patients admitted with severe community acquired pneumonia. We develop two algorithms to efficiently learn Disjunctive Normal Forms, which yield easy-to-interpret rules that explicitly map data to the outcome of interest. Disjunctive Normal Forms achieve higher prediction performance quality compared to a set of state-of-the-art machine learning models, and unveils insights unavailable with standard methods. Disjunctive Normal Forms constitute an intuitive set of prediction rules that could be easily implemented to predict outcomes and guide criteria-based clinical decision making and clinical trial execution, and thus of greater practical usefulness than currently available prediction tools. The Java implementation of the tool JavaDNF will be publicly available. PMID:24699007

  14. Low platelet activity predicts 30 days mortality in patients undergoing heart surgery.

    PubMed

    Kuliczkowski, Wiktor; Sliwka, Joanna; Kaczmarski, Jacek; Zysko, Dorota; Zembala, Michal; Steter, Dawid; Zembala, Marian; Gierlotka, Marek; Kim, Moo Hyun; Serebruany, Victor

    2016-03-01

    Despite advanced techniques and improved clinical outcomes, patient survival following coronary artery bypass grafting (CABG) is still a major concern. Therefore, predicting future CABG mortality represents an unmet medical need and should be carefully explored. The objective of this study is to assess whether pre-CABG platelet activity corresponds with 30 days mortality post-CABG. Retrospective analyses of platelet biomarkers and death at 30 days in 478 heart surgery patients withdrawn from aspirin or/and clopidogrel. Platelet activity was assessed prior to CABG for aspirin (ASPI-test) with arachidonic acid and clopidogrel (ADP-test) utilizing Multiplate impedance aggregometer. Most patients (n = 198) underwent conventional CABG, off-pump (n = 162), minimally invasive (n = 30), artificial valve implantation (n = 48) or valves in combination with CABG (n = 40). There were 22 deaths at 30 days, including 10 in-hospital fatalities. With the cut-off value set below 407 area under curve (AUC) for the ASPI-test, the 30-day mortality was 5.90% for the lower cohort and 2.66% for patients with significantly higher platelet reactivity (P = 0.038). For the ADP-test with a cut-off at 400AUC, the 30-day mortality was 9.68% for the lower cohort and 3.66% for patients with higher platelet reactivity, representing a borderline significant difference (P = 0.046). Aside from the platelet indices, patients who received red blood cell (RBC) concentrate had a highly significant (P < 0.0001) risk of death at 30 days. Both aspirin and clopidogrel tests were useful in predicting 30 days mortality following heart surgery, suggesting the danger of diminished platelet activity prior to CABG in such high-risk patients. These preliminary evidence supports early discontinuation of antiplatelet therapy for elective CABG and requires adequately powered randomized trials to test the hypothesis and potentially improve survival. PMID:26366827

  15. Time Preferences Predict Mortality among HIV-Infected Adults Receiving Antiretroviral Therapy in Kenya

    PubMed Central

    Thirumurthy, Harsha; Hayashi, Kami; Linnemayr, Sebastian; Vreeman, Rachel C.; Levin, Irwin P.; Bangsberg, David R.; Brewer, Noel T.

    2015-01-01

    Background Identifying characteristics of HIV-infected adults likely to have poor treatment outcomes can be useful for targeting interventions efficiently. Research in economics and psychology suggests that individuals’ intertemporal time preferences, which indicate the extent to which they trade-off immediate vs. future cost and benefits, can influence various health behaviors. While there is empirical support for the association between time preferences and various non-HIV health behaviors and outcomes, the extent to which time preferences predict outcomes of those receiving antiretroviral therapy (ART) has not been examined previously. Methods HIV-infected adults initiating ART were enrolled at a health facility in Kenya. Participants’ time preferences were measured at enrollment and used to classify them as having either a low or high discount rate for future benefits. At 48 weeks, we assessed mortality and ART adherence, as measured by Medication Event Monitoring System (MEMS). Logistic regression models adjusting for socio-economic characteristics and risk factors were used to determine the association between time preferences and mortality as well as MEMS adherence ≥90%. Results Overall, 44% (96/220) of participants were classified as having high discount rates. Participants with high discount rates had significantly higher 48-week mortality than participants with low discount rates (9.3% vs. 3.1%; adjusted odds ratio 3.84; 95% CI 1.03, 14.50). MEMS adherence ≥90% was similar for participants with high vs. low discount rates (42.3% vs. 49.6%, AOR 0.70; 95% CI 0.40, 1.25). Conclusion High discount rates were associated with significantly higher risk of mortality among HIV-infected patients initiating ART. Greater use of time preference measures may improve identification of patients at risk of poor clinical outcomes. More research is needed to further identify mechanisms of action and also to build upon and test the generalizability of this finding

  16. Spontaneous intracerebral hemorrhage: Clinical and computed tomography findings in predicting in-hospital mortality in Central Africans

    PubMed Central

    Tshikwela, Michel Lelo; Longo-Mbenza, Benjamin

    2012-01-01

    Background and Purpose: Intracerebral hemorrhage (ICH) constitutes now 52% of all strokes. Despite of its deadly pattern, locally there is no clinical grading scale for ICH-related mortality prediction. The first objective of this study was to develop a risk stratification scale (Kinshasa ICH score) by assessing the strength of independent predictors and their association with in-hospital 30-day mortality. The second objective of the study was to create a specific local and African model for ICH prognosis. Materials and Methods: Age, sex, hypertension, type 2 diabetes mellitus (T2DM), smoking, alcohol intake, and neuroimaging data from CT scan (ICH volume, Midline shift) of patients admitted with primary ICH and follow-upped in 33 hospitals of Kinshasa, DR Congo, from 2005 to 2008, were analyzed using logistic regression models. Results: A total of 185 adults and known hypertensive patients (140 men and 45 women) were examined. 30-day mortality rate was 35% (n=65). ICH volume>25 mL (OR=8 95% CI: 3.1-20.2; P<0.0001), presence of coma (OR=6.8 95% CI 2.6-17.4; P<0.0001) and left hemispheric site of ICH (OR 2.6 95% CI: 1.1-6; P=0.027) were identified as significant and independent predictors of 30-day mortality. Midline shift > 7 mm, a consequence of ICH volume, was also a significant predictor of mortality. The Kinshasa ICH score was the sum of individual points assigned as follows: Presence of coma coded 2 (2 × 2 = 4), absence of coma coded 1 (1 × 2 = 2), ICH volume>25 mL coded 2 (2 × 2=4), ICH volume of ≤25 mL coded 1(1 × 2=2), left hemispheric site of ICH coded 2 (2 × 1=2), and right hemispheric site of hemorrhage coded 1(1 × 1 = 1). All patients with Kinshasa ICH score ≤7 survived and the patients with a score >7 died. In considering sex influence (Model 3), points were allowed as follows: Presence of coma (2 × 3 = 6), absence of coma (1 × 3 = 3), men (2 × 2 = 4), women (1 × 2 = 2), midline shift ≤7 mm (1 × 3 = 3), and midline shift >7 mm (2 × 3

  17. Morbid Obesity as an Independent Risk Factor for Disease-Specific Mortality in Women With Cervical Cancer

    PubMed Central

    Frumovitz, Michael; Jhingran, Anuja; Soliman, Pamela T.; Klopp, Ann H.; Schmeler, Kathleen; Eifel, Patricia J.

    2014-01-01

    Objective To assess whether obesity is an independent predictor of mortality in women with cervical cancer. Methods This retrospective cohort study of patients with stages IB1-IVA cervical cancer treated with curative intent at MD Anderson Cancer Center from 1980 through 2007 categorized these women as underweight, normal weight, overweight, obese, or morbidly obese according to National Institutes of Health definitions. In addition to weight category, known prognostic factors for survival after a diagnosis of cervical cancer were included in a multivariate model. These known prognostic factors included age, smoking status, race or ethnicity (self-reported), socioeconomic status, comorbidities, tumor histologic subtype, tumor stage, tumor size, presence or absence of hydronephrosis, radiologic evidence of nodal metastasis, and the addition of concurrent chemotherapy with definitive radiation. Results A total of 3,086 patients met the inclusion criteria. The median survival for the entire cohort was 81 months (range, 0–365). The presence of lymph node spread and advancing stage were the most significant predictors of survival. Compared to normal-weight women, morbidly obese women had a significantly higher hazard ratio for both all-cause death (hazard ratio, 1.26; 95% CI, 1.10–1.45) and disease-specific death (hazard ratio, 1.24; 95% CI, 1.06–1.47). Underweight, overweight, and obese women did not have an increased risk for death compared to normal-weight women. Conclusions After controlling for all previously known prognostic factors, morbid obesity remains an independent risk factor for death from cervical cancer. Overweight and obese women have the same prognosis as normal-weight women. PMID:25415160

  18. Quantitative and Morphological Measures May Predict Growth and Mortality During Prenatal Growth in Japanese Quails

    PubMed Central

    Arora, Kashmiri L.; Vatsalya, Vatsalya

    2014-01-01

    Growth pattern and mortality rate during the embryonic phase of avian species are difficult to recognize and predict. Determination of such measures and associated events may enhance our understanding of characteristics involved in the growth and hatching process. Furthermore, some quantitative measures could validate morphological determinants during the embryonic phase and predict the course of normal growth and alterations. Our aim was to characterize quantitative growth of embryos and to establish baseline embryonic standards for use in comparative and pathological research during the prenatal life of Japanese quail. Day 10 was a landmark timeline for initiation of extensive anatomical changes in growth and transformation. Wet and dry weights were positively correlated with each other and inversely correlated with water content (p = 0.05). Following d10, the water content decreased progressively, whereas, dry and wet weights increased with increasing age. Velocity of growth in wet and dry weights was evident starting d6, spiked at d11 and d15 and then declined before hatching on d16. Organic and inorganic contents of embryos were positively associated with age. Progressive increase in the organic to inorganic ratio with age was evident after d5, spiked on d9, d13 and d16. Accurate determinations of prenatal growth processes could serve as valuable tools in identifying morphological developments and characterization of prenatal growth and mortality, thus enhancing the reproductive efficiency of the breeding colony and the postnatal robustness of the offspring. PMID:25285101

  19. Poor mobility independently predicts mortality in TAVI: Are we closer to a universal definition for frailty?

    PubMed

    Chandrasekhar, Jaya; Mehran, Roxana

    2015-12-01

    Frailty assessment aids appropriate patient selection for transcatheter aortic valve implantation (TAVI). An uncumbersome and easy to use evaluation tool is needed to facilitate wider uptake among TAVI teams. Mobility assessment by the euroSCORE definition can be utilized as a one-point measure and may be indicative of short- and long-term outcomes post TAVI. Frailty is an evolving concept and further data are warranted, with validation across regions to determine a gold standard. PMID:26582325

  20. Evaluation of Circulating Proteins and Hemodynamics Towards Predicting Mortality in Children with Pulmonary Arterial Hypertension

    PubMed Central

    Wagner, Brandie D.; Takatsuki, Shinichi; Accurso, Frank J.; Ivy, David Dunbar

    2013-01-01

    Background Although many predictors have been evaluated, a set of strong independent prognostic mortality indicators has not been established in children with pediatric pulmonary arterial hypertension (PAH). The aim of this study was to identify a combination of clinical and molecular predictors of survival in PAH. Methods This single-center, retrospective cohort study was performed from children with PAH between 2001 and 2008 at Children's Hospital Colorado. Blood samples from 83 patients (median age of 8.3 years-old) were obtained. We retrospectively analyzed 46 variables, which included 27 circulating proteins, 7 demographic variables and 12 hemodynamic and echocardiographic variables for establishing the best predictors of mortality. A data mining approach was utilized to evaluate predictor variables and to uncover complex data structures while performing variable selection in high dimensional problems. Results Thirteen children (16%) died during follow-up (median; 3.1 years) and survival rates from time of sample collection at 1 year, 3 years and 5 years were 95%, 85% and 79%, respectively. A subset of potentially informative predictors were identified, the top four are listed here in order of importance: Tissue inhibitors of metalloproteinases-1 (TIMP-1), apolipoprotein-AI, RV/LV diastolic dimension ratio and age at diagnosis. In univariate analysis, TIMP-1 and apolipoprotein-AI had significant association with survival time (hazard ratio [95% confidence interval]: 1.25 [1.03, 1.51] and 0.70 [0.54–0.90], respectively). Patients grouped by TIMP-1 and apolipoprotein-AI values had significantly different survival risks (p<0.01). Conclusion Important predictors of mortality were identified from a large number of circulating proteins and clinical markers in this cohort. If confirmed in other populations, measurement of a subset of these predictors could aid in management of pediatric PAH by identifying patients at risk for death. These findings also further

  1. Nomogram Predicting Prostate Cancer–specific Mortality for Men with Biochemical Recurrence After Radical Prostatectomy

    PubMed Central

    Brockman, John A.; Alanee, Shaheen; Vickers, Andrew J.; Scardino, Peter T.; Wood, David P.; Kibel, Adam S.; Lin, Daniel W.; Bianco, Fernando J.; Rabah, Danny M.; Klein, Eric A.; Ciezki, Jay P.; Gao, Tianming; Kattan, Michael W.; Stephenson, Andrew J.

    2016-01-01

    Background The natural history of prostate-specific antigen (PSA)-defined biochemical recurrence (BCR) of prostate cancer (PCa) after definitive local therapy is highly variable. Validated prediction models for PCa-specific mortality (PCSM) in this population are needed for treatment decision-making and clinical trial design. Objective To develop and validate a nomogram to predict the probability of PCSM from the time of BCR among men with rising PSA levels after radical prostatectomy. Design, setting, and participants Between 1987 and 2011, 2254 men treated by radical prostatectomy at one of five high-volume hospitals experienced BCR, defined as three successive PSA rises (final value >0.2 ng/ml), single PSA >0.4 ng/ml, or use of secondary therapy administered for detectable PSA >0.1 ng/ml. Clinical information and follow-up data were modeled using competing-risk regression analysis to predict PCSM from the time of BCR. Intervention Radical prostatectomy for localized prostate cancer and subsequent PCa BCR. Outcome measurements and statistical analysis PCSM. Results and limitations The 10-yr PCSM and mortality from competing causes was 19% (95% confidence interval [CI] 16–21%) and 17% (95% CI 14–19%), respectively. A nomogram predicting PCSM for all patients had an internally validated concordance index of 0.774. Inclusion of PSA doubling time (PSADT) in a nomogram based on standard parameters modestly improved predictive accuracy (concordance index 0.763 vs 0.754). Significant parameters in the models were preoperative PSA, pathological Gleason score, extraprostatic extension, seminal vesicle invasion, time to PCa BCR, PSA level at PCa BCR, and PSADT (all p < 0.05). Conclusions We constructed and validated a nomogram to predict the risk of PCSM at 10 yr among men with PCa BCR after radical prostatectomy. The nomogram may be used for patient counseling and the design of clinical trials for PCa. Patient summary For men with biochemical recurrence of prostate

  2. Personalized Mortality Prediction Driven by Electronic Medical Data and a Patient Similarity Metric

    PubMed Central

    Lee, Joon; Maslove, David M.; Dubin, Joel A.

    2015-01-01

    Background Clinical outcome prediction normally employs static, one-size-fits-all models that perform well for the average patient but are sub-optimal for individual patients with unique characteristics. In the era of digital healthcare, it is feasible to dynamically personalize decision support by identifying and analyzing similar past patients, in a way that is analogous to personalized product recommendation in e-commerce. Our objectives were: 1) to prove that analyzing only similar patients leads to better outcome prediction performance than analyzing all available patients, and 2) to characterize the trade-off between training data size and the degree of similarity between the training data and the index patient for whom prediction is to be made. Methods and Findings We deployed a cosine-similarity-based patient similarity metric (PSM) to an intensive care unit (ICU) database to identify patients that are most similar to each patient and subsequently to custom-build 30-day mortality prediction models. Rich clinical and administrative data from the first day in the ICU from 17,152 adult ICU admissions were analyzed. The results confirmed that using data from only a small subset of most similar patients for training improves predictive performance in comparison with using data from all available patients. The results also showed that when too few similar patients are used for training, predictive performance degrades due to the effects of small sample sizes. Our PSM-based approach outperformed well-known ICU severity of illness scores. Although the improved prediction performance is achieved at the cost of increased computational burden, Big Data technologies can help realize personalized data-driven decision support at the point of care. Conclusions The present study provides crucial empirical evidence for the promising potential of personalized data-driven decision support systems. With the increasing adoption of electronic medical record (EMR) systems, our

  3. IL-6 predicts organ dysfunction and mortality in patients with multiple injuries

    PubMed Central

    Frink, Michael; van Griensven, Martijn; Kobbe, Philipp; Brin, Thomas; Zeckey, Christian; Vaske, Bernhard; Krettek, Christian; Hildebrand, Frank

    2009-01-01

    Background Although therapeutic concepts of patients with major trauma have improved during recent years, organ dysfunction still remains a frequent complication during clinical course in intensive care units. It has previously been shown that cytokines are upregulated under stress conditions such as trauma or sepsis. However, it is still debatable if cytokines are adequate parameters to describe the current state of trauma patients. To elucidate the relevance of cytokines, we investigated if cytokines predict development of multiple organ dysfunction syndrome (MODS) or outcome. Methods A total of 143 patients with an injury severity score ≥ 16, between 16 and 65 years, admitted to the Hannover Medical School Level 1 Trauma Center between January 1997 and December 2001 were prospectively included in this study. Marshall Score for MODS was calculated for at least 14 days and plasma levels of TNF-α, IL-1β, IL-6, IL-8 and IL-10 were measured. To determine the association between cytokine levels and development of MODS the Spearman rank correlation coefficient was calculated and logistic regression and analysis were performed. Results and Discussion Patients with MODS had increased plasma levels of IL-6, IL-8 and IL-10. IL-6 predicted development of MODS with an overall accuracy of 84.7% (specificity: 98.3%, sensitivity: 16.7%). The threshold value for development of MODS was 761.7 pg/ml and 2176.0 pg/ml for mortality during the in patient time. Conclusion We conclude that plasma IL-6 levels predict mortality and that they are a useful tool to identify patients who are at risk for development of MODS. PMID:19781105

  4. Serum angiotensin-converting enzyme 2 is an independent risk factor for in-hospital mortality following open surgical repair of ruptured abdominal aortic aneurysm

    PubMed Central

    Nie, Wanpin; Wang, Yan; Yao, Kai; Wang, Zheng; Wu, Hao

    2016-01-01

    Open surgical repair (OSR) is a conventional surgical method used in the repair a ruptured abdominal aortic aneurysm (AAA); however, OSR results in high perioperative mortality rates. The level of serum angiotensin-converting enzyme 2 (ACE2) has been reported to be an independent risk factor for postoperative in-hospital mortality following major cardiopulmonary surgery. In the present study, the association of serum ACE2 levels with postoperative in-hospital mortality was investigated in patients undergoing OSR for ruptured AAA. The study enrolled 84 consecutive patients underwent OSR for ruptured AAA and were subsequently treated in the intensive care unit. Patients who succumbed postoperatively during hospitalization were defined as non-survivors. Serum ACE2 levels were measured in all patients prior to and following the surgery using ELISA kits. The results indicated that non-survivors showed significantly lower mean preoperative and postoperative serum ACE2 levels when compared with those in survivors. Multivariate logistic regression analysis also showed that, subsequent to adjusting for potential confounders, the serum ACE2 level on preoperative day 1 showed a significant negative association with the postoperative in-hospital mortality. This was confirmed by multivariate hazard ratio analysis, which showed that, subsequent to adjusting for the various potential confounders, the risk of postoperative in-hospital mortality remained significantly higher in the two lowest serum ACE2 level quartiles compared with that in the highest quartile on preoperative day 1. In conclusion, the present study provided the first evidence supporting that the serum ACE2 level is an independent risk factor for the in-hospital mortality following OSR for ruptured AAA. Furthermore, low serum ACE2 levels on preoperative day 1 were found to be associated with increased postoperative in-hospital mortality. Therefore, the serum ACE2 level on preoperative day 1 may be a potential

  5. Role of Right Ventricular Global Longitudinal Strain in Predicting Early and Long-Term Mortality in Cardiac Resynchronization Therapy Patients

    PubMed Central

    Nagy, Vivien Klaudia; Széplaki, Gábor; Apor, Astrid; Kutyifa, Valentina; Kovács, Attila; Kosztin, Annamária; Becker, Dávid; Boros, András Mihály; Gellér, László; Merkely, Béla

    2015-01-01

    Background Right ventricular (RV) dysfunction has been associated with poor prognosis in chronic heart failure (HF). However, less data is available about the role of RV dysfunction in patients with cardiac resynchronization therapy (CRT). We aimed to investigate if RV dysfunction would predict outcome in CRT. Design We enrolled prospectively ninety-three consecutive HF patients in this single center observational study. All patients underwent clinical evaluation and echocardiography before CRT and 6 months after implantation. We assessed RV geometry and function by using speckle tracking imaging and calculated strain parameters. We performed multivariable Cox regression models to test mortality at 6 months and at 24 months. Results RV dysfunction, characterized by decreased RVGLS (RV global longitudinal strain) [10.2 (7.0–12.8) vs. 19.5 (15.0–23.9) %, p<0.0001] and RVFWS (RV free wall strain) [15.6 (10.0–19.3) vs. 17.4 (10.5–22.2) %, p = 0.04], improved 6 months after CRT implantation. Increasing baseline RVGLS and RVFWS predicted survival independent of other parameters at 6 months [hazard ratio (HR) = 0.37 (0.15–0.90), p = 0.02 and HR = 0.42 (0.19–0.89), p = 0.02; per 1 standard deviation increase, respectively]. RVGLS proved to be a significant independent predictor of mortality at 24 months [HR = 0.53 (0.32–0.86), p = 0.01], and RVFWS showed a strong tendency [HR = 0.64 (0.40–1.00), p = 0.05]. The 24-month survival was significantly impaired in patients with RVGLS below 10.04% before CRT implantation [area under the curve = 0.72 (0.60–0.84), p = 0.002, log-rank p = 0.0008; HR = 5.23 (1.76–15.48), p = 0.003]. Conclusions Our findings indicate that baseline RV dysfunction is associated with poor short-term and long-term prognosis after CRT implantation. PMID:26700308

  6. Observable impairments predict mortality of captured and released sockeye salmon at various temperatures.

    PubMed

    Gale, Marika Kirstin; Hinch, Scott G; Cooke, Steven J; Donaldson, Michael R; Eliason, Erika J; Jeffries, Ken M; Martins, Eduardo G; Patterson, David A

    2014-01-01

    Migrating adult sockeye salmon frequently encounter commercial and recreational fishing gear, from which they may be landed, escape or be intentionally released. In this experiment, migratory adult sockeye salmon were exposed to simulated capture-release in fresh water, including 3 min of exhaustive exercise and 60 s of air exposure at three ecologically relevant water temperatures (13, 16 and 19°C) to understand how thermal and capture-release stressors may interact to increase mortality risk. Water temperature and sex were the factors that best predicted 24 and 48 h survival, with females in the warmest temperature group experiencing the greatest mortality. Capture-release treatment including air exposure was associated with equilibrium loss and depressed ventilation rates at release; the probability of fish surviving for 24 h after simulated capture-release was >50% if the duration of equilibrium loss was <2 min or ventilation frequency was >1 breath s(-1). Higher haematocrit and plasma lactate as well as lower mean cell haemoglobin concentration and plasma sodium and chloride 30 min after simulated capture-release were also significant predictors of 24 h survival. Together, the results demonstrate that simple observations that are consistent with physiological disturbance can be used as predictors for post-release short-term survival for sockeye salmon. The markedly higher post-stressor mortality observed in females demonstrates that managers should consider sex-specific variation in response to different fisheries interactions, particularly in the face of climate change. PMID:27293650

  7. Observable impairments predict mortality of captured and released sockeye salmon at various temperatures

    PubMed Central

    Gale, Marika Kirstin; Hinch, Scott G.; Cooke, Steven J.; Donaldson, Michael R.; Eliason, Erika J.; Jeffries, Ken M.; Martins, Eduardo G.; Patterson, David A.

    2014-01-01

    Migrating adult sockeye salmon frequently encounter commercial and recreational fishing gear, from which they may be landed, escape or be intentionally released. In this experiment, migratory adult sockeye salmon were exposed to simulated capture–release in fresh water, including 3 min of exhaustive exercise and 60 s of air exposure at three ecologically relevant water temperatures (13, 16 and 19°C) to understand how thermal and capture–release stressors may interact to increase mortality risk. Water temperature and sex were the factors that best predicted 24 and 48 h survival, with females in the warmest temperature group experiencing the greatest mortality. Capture–release treatment including air exposure was associated with equilibrium loss and depressed ventilation rates at release; the probability of fish surviving for 24 h after simulated capture–release was >50% if the duration of equilibrium loss was <2 min or ventilation frequency was >1 breath s−1. Higher haematocrit and plasma lactate as well as lower mean cell haemoglobin concentration and plasma sodium and chloride 30 min after simulated capture–release were also significant predictors of 24 h survival. Together, the results demonstrate that simple observations that are consistent with physiological disturbance can be used as predictors for post-release short-term survival for sockeye salmon. The markedly higher post-stressor mortality observed in females demonstrates that managers should consider sex-specific variation in response to different fisheries interactions, particularly in the face of climate change. PMID:27293650

  8. Trajectories of physiological dysregulation predicts mortality and health outcomes in a consistent manner across three populations.

    PubMed

    Milot, Emmanuel; Morissette-Thomas, V; Li, Qing; Fried, Linda P; Ferrucci, Luigi; Cohen, Alan A

    2014-01-01

    Mechanistic and evolutionary perspectives both agree that aging involves multiple integrated biochemical networks in the organism. In particular, the homeostatic physiological dysregulation (PD) hypothesis contends that aging is caused by the progressive breakdown of key regulatory processes. However, nothing is yet known about the specifics of how PD changes with age and affects health. Using a recently validated measure of PD involving the calculation of a multivariate distance (DM) from biomarker data, we show that PD trajectories predict mortality, frailty, and chronic diseases (cancer, cardiovascular diseases, and diabetes). Specifically, relative risks of outcomes associated with individual slopes in (i.e. rate of) dysregulation range 1.20-1.40 per unit slope. We confirm the results by replicating the analysis using two suites of biomarkers selected with markedly different criteria and, for mortality, in three longitudinal cohort-based studies. Overall, the consistence of effect sizes (direction and magnitude) across data sets, biomarker suites and outcomes suggests that the positive relationship between DM and health outcomes is a general phenomenon found across human populations. Therefore, the study of dysregulation trajectories should allow important insights into aging physiology and provide clinically meaningful predictors of outcomes. PMID:25454986

  9. The clinical outcomes and predictive factors for in-hospital mortality in non-neutropenic patients with candidemia

    PubMed Central

    Wang, Tsai-Yu; Hung, Chia-Yen; Shie, Shian-Sen; Chou, Pai-Chien; Kuo, Chih-Hsi; Chung, Fu-Tsai; Lo, Yu-Lun; Lin, Shu-Min

    2016-01-01

    Abstract Recent epidemiologic studies have showed that candidemia is an important nosocomial infection in hospitalized patients. The majority of candidemia patients were non-neutropenic rather than neutropenic status. The aim of this study was to determine the clinical outcome of non-neutropenic patients with candidemia and to measure the contributing factors for mortality. A total of 163 non-neutropenic patients with candidemia during January 2010 to December 2013 were retrospectively enrolled. The patients’ risk factors for mortality, clinical outcomes, treatment regimens, and Candida species were analyzed. The overall mortality was 54.6%. Candida albicans was the most frequent Candida species (n = 83; 50.9% of patients). Under multivariate analyses, hemodialysis (OR, 4.554; 95% CI, 1.464–14.164) and the use of amphotericin B deoxycholate (OR, 8.709; 95% CI, 1.587–47.805) were independent factors associated with mortality. In contrast, abdominal surgery (OR, 0.360; 95% CI, 0.158–0.816) was associated with a better outcome. The overall mortality is still high in non-neutropenic patients with candidemia. Hemodialysis and use of amphotericin B deoxycholate were independent factors associated with mortality, whereas prior abdominal surgery was associated with a better outcome. PMID:27281087

  10. Predicting mortality after acute coronary syndromes in people with chronic obstructive pulmonary disease

    PubMed Central

    Smeeth, Liam; Pearce, Neil; Herrett, Emily; Timmis, Adam; Hemingway, Harry; Wedzicha, Jadwiga; Quint, Jennifer K

    2016-01-01

    Objective To assess the accuracy of Global Registry of Acute Coronary Events (GRACE) scores in predicting mortality at 6 months for people with chronic obstructive pulmonary disease (COPD) and to investigate how it might be improved. Methods Data were obtained on 481 849 patients with acute coronary syndrome admitted to UK hospitals between January 2003 and June 2013 from the Myocardial Ischaemia National Audit Project (MINAP) database. We compared risk of death between patients with COPD and those without COPD at 6 months, adjusting for predicted risk of death. We then assessed whether several modifications improved the accuracy of the GRACE score for people with COPD. Results The risk of death after adjusting for GRACE score predicted that risk of death was higher for patients with COPD than that for other patients (RR 1.29, 95% CI 1.28 to 1.33). Adding smoking into the GRACE score model did not improve accuracy for patients with COPD. Either adding COPD into the model (relative risk (RR) 1.00, 0.94 to 1.02) or multiplying the GRACE score by 1.3 resulted in better performance (RR 0.99, 0.96 to 1.01). Conclusions GRACE scores underestimate risk of death for people with COPD. A more accurate prediction of risk of death can be obtained by adding COPD into the GRACE score equation, or by multiplying the GRACE score predicted risk of death by 1.3 for people with COPD. This means that one third of patients with COPD currently classified as low risk should be classified as moderate risk, and could be considered for more aggressive early treatment after non-ST-segment elevation myocardial infarction or unstable angina. PMID:27177534

  11. Development and Validation of Predictive Models of Cardiac Mortality and Transplantation in Resynchronization Therapy

    PubMed Central

    Rocha, Eduardo Arrais; Pereira, Francisca Tatiana Moreira; Abreu, José Sebastião; Lima, José Wellington O.; Monteiro, Marcelo de Paula Martins; Rocha Neto, Almino Cavalcante; Goés, Camilla Viana Arrais; Farias, Ana Gardênia P.; Rodrigues Sobrinho, Carlos Roberto Martins; Quidute, Ana Rosa Pinto; Scanavacca, Maurício Ibrahim

    2015-01-01

    Background 30-40% of cardiac resynchronization therapy cases do not achieve favorable outcomes. Objective This study aimed to develop predictive models for the combined endpoint of cardiac death and transplantation (Tx) at different stages of cardiac resynchronization therapy (CRT). Methods Prospective observational study of 116 patients aged 64.8 ± 11.1 years, 68.1% of whom had functional class (FC) III and 31.9% had ambulatory class IV. Clinical, electrocardiographic and echocardiographic variables were assessed by using Cox regression and Kaplan-Meier curves. Results The cardiac mortality/Tx rate was 16.3% during the follow-up period of 34.0 ± 17.9 months. Prior to implantation, right ventricular dysfunction (RVD), ejection fraction < 25% and use of high doses of diuretics (HDD) increased the risk of cardiac death and Tx by 3.9-, 4.8-, and 5.9-fold, respectively. In the first year after CRT, RVD, HDD and hospitalization due to congestive heart failure increased the risk of death at hazard ratios of 3.5, 5.3, and 12.5, respectively. In the second year after CRT, RVD and FC III/IV were significant risk factors of mortality in the multivariate Cox model. The accuracy rates of the models were 84.6% at preimplantation, 93% in the first year after CRT, and 90.5% in the second year after CRT. The models were validated by bootstrapping. Conclusion We developed predictive models of cardiac death and Tx at different stages of CRT based on the analysis of simple and easily obtainable clinical and echocardiographic variables. The models showed good accuracy and adjustment, were validated internally, and are useful in the selection, monitoring and counseling of patients indicated for CRT. PMID:26559987

  12. Darcy’s law predicts widespread forest mortality under climate warming

    USGS Publications Warehouse

    McDowell, Nate G.; Allen, Craig D.

    2015-01-01

    Drought and heat-induced tree mortality is accelerating in many forest biomes as a consequence of a warming climate, resulting in a threat to global forests unlike any in recorded history1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12. Forests store the majority of terrestrial carbon, thus their loss may have significant and sustained impacts on the global carbon cycle11,12. We use a hydraulic corollary to Darcy’s law, a core principle of vascular plant physiology13, to predict characteristics of plants that will survive and die during drought under warmer future climates. Plants that are tall with isohydric stomatal regulation, low hydraulic conductance, and high leaf area are most likely to die from future drought stress. Thus, tall trees of old-growth forests are at the greatest risk of loss, which has ominous implications for terrestrial carbon storage. This application of Darcy’s law indicates today’s forests generally should be replaced by shorter and more xeric plants, owing to future warmer droughts and associated wildfires and pest attacks. The Darcy’s corollary also provides a simple, robust framework for informing forest management interventions needed to promote the survival of current forests. Given the robustness of Darcy’s law for predictions of vascular plant function, we conclude with high certainty that today’s forests are going to be subject to continued increases in mortality rates that will result in substantial reorganization of their structure and carbon storage.

  13. Anhedonia Predicts Major Adverse Cardiac Events and Mortality in Patients 1 Year After Acute Coronary Syndrome

    PubMed Central

    Davidson, Karina W.; Burg, Matthew M.; Kronish, Ian M.; Shimbo, Daichi; Dettenborn, Lucia; Mehran, Roxana; Vorchheimer, David; Clemow, Lynn; Schwartz, Joseph E.; Lespérance, Francois; Rieckmann, Nina

    2010-01-01

    Context Depression is a consistent predictor of recurrent events and mortality in ACS patients, but it has 2 core diagnostic criteria with distinct biological correlates—depressed mood and anhedonia. Objective To determine if depressed mood and/or anhedonia (loss of pleasure or interest) predict 1-year medical outcomes for patients with Acute Coronary Syndrome (ACS). Design Observational cohort study of post-ACS patients hospitalized between May 2003 and June 2005. Within one week of admission, patients underwent a structured psychiatric interview to assess clinically impairing depressed mood, anhedonia, and major depressive episode (MDE); also assessed were the Global Registry of Acute Coronary Events risk score, Charlson comorbidity index, left ventricular ejection fraction, antidepressant use, and depressive symptom severity. Setting Coronary care and cardiac care step-down units of 3 university hospitals in New York and Connecticut. Participants Consecutive sample of 453 ACS patients (aged 25–93 years; 42% women). Main Outcomes Measures All-cause mortality (ACM) and documented major adverse cardiac events (MACE; myocardial infarction, hospitalization for unstable angina, or urgent revascularization) were actively surveyed for 1 year after admission. Results There were 67 events (16 deaths and 51 MACE; 14.8%). 108 (24%) and 77 (17%) patients with anhedonia and depressed mood, respectively. After controlling for sex, age, and medical covariates, anhedonia (adjusted hazard ratio, 1.58; 95% confidence interval, 1.16–2.14; P<.01) and MDE (adjusted hazard ratio, 1.48; 95% confidence interval, 1.07–2.04; P=.02) were significant predictors of combined MACE/ACM, but depressed mood was not. Anhedonia continued to significantly predict outcomes controlling for MDE diagnosis and depressive symptom severity, each of which were no longer significant. Conclusions Anhedonia identifies risk for MACE/ACM beyond that of established medical prognostic indicators

  14. Stratified neutrophil-to-lymphocyte ratio accurately predict mortality risk in hepatocellular carcinoma patients following curative liver resection

    PubMed Central

    Huang, Gui-Qian; Zhu, Gui-Qi; Liu, Yan-Long; Wang, Li-Ren; Braddock, Martin; Zheng, Ming-Hua; Zhou, Meng-Tao

    2016-01-01

    Objectives Neutrophil lymphocyte ratio (NLR) has been shown to predict prognosis of cancers in several studies. This study was designed to evaluate the impact of stratified NLR in patients who have received curative liver resection (CLR) for hepatocellular carcinoma (HCC). Methods A total of 1659 patients who underwent CLR for suspected HCC between 2007 and 2014 were reviewed. The preoperative NLR was categorized into quartiles based on the quantity of the study population and the distribution of NLR. Hazard ratios (HRs) and 95% confidence intervals (CIs) were significantly associated with overall survival (OS) and derived by Cox proportional hazard regression analyses. Univariate and multivariate Cox proportional hazard regression analyses were evaluated for association of all independent parameters with disease prognosis. Results Multivariable Cox proportional hazards models showed that the level of NLR (HR = 1.031, 95%CI: 1.002-1.060, P = 0.033), number of nodules (HR = 1.679, 95%CI: 1.285-2.194, P<0.001), portal vein thrombosis (HR = 4.329, 95%CI: 1.968-9.521, P<0.001), microvascular invasion (HR = 2.527, 95%CI: 1.726-3.700, P<0.001) and CTP score (HR = 1.675, 95%CI: 1.153-2.433, P = 0.007) were significant predictors of mortality. From the Kaplan-Meier analysis of overall survival (OS), each NLR quartile showed a progressively worse OS and apparent separation (log-rank P=0.008). The highest 5-year OS rate following CLR (60%) in HCC patients was observed in quartile 1. In contrast, the lowest 5-year OS rate (27%) was obtained in quartile 4. Conclusions Stratified NLR may predict significantly improved outcomes and strengthen the predictive power for patient responses to therapeutic intervention. PMID:26716411

  15. Comparison of acid-base models for prediction of hospital mortality after trauma.

    PubMed

    Kaplan, Lewis J; Kellum, John A

    2008-06-01

    This study determines whether mortality after major trauma is predicted by the strong ion gap (SIG) and whether recent refinements in the calculation of SIG improve its predictive value. The design was an observational, retrospective review of trauma patients admitted on a single service at a level 1 facility. The setting was an urban level 1 trauma facility. An unselected cohort of patients sustaining blunt and/or penetrating injury requiring intensive care unit care was chosen. There were no interventions. Age, injury mechanism, survival, arterial blood gases, hemoglobin, albumin, electrolytes, lactate, standard base deficit, strong ion difference (SID), buffer base, and SIG were analyzed. Patients were grouped into survivors and nonsurvivors according to in-hospital survival truncated to 28 days. Multivariate logistic regression was used for further analysis of univariate predictors of mortality, and receiver-operator characteristic curves were generated for mortality. Both nonsurvivors (n = 26) and survivors (n = 52) were similar with respect to age (31.9 +/- 11.5 vs. 33.5 +/- 11.6 years) and injury mechanism (blunt 61% vs. 58%) Nonsurvivors were more likely to have multicavity injury (54% vs. 26%; P < 0.01) than survivors. Nonsurvivor and survivor pH (7.36 +/- 0.15 vs. 7.38 +/- 0.09), HCO3(-) (20.4 +/- 3.9 vs. 21.7 +/- 2.5 mEq/L; P = 0.11), albumin (3.6 +/- 0.7 vs. 3.5 +/- 0.5 gm/dL), lactate (2.9 +/- 2.5 vs. 2.3 +/- 1.3 mmol/L; P = 0.24), and phosphate (3.1 +/- 0.9 vs. 3.4 +/- 0.8 mEq/L; P = 0.26) were similar. Forty-two percent of nonsurvivors had normal lactate levels, whereas 33% of survivors had lactic acidosis. However, the apparent SID (41.0 +/- 4.2 vs. 36.7 +/- 5.5 mEq/L; P < 0.001), effective SID (32.7 +/- 4.2 vs. 35.4 +/- 4.9 mEq/L; P = 0.019), and SIG (8.3 +/- 4.4 vs. 1.3 +/- 3.6 mEq/L; P < 0.001) were all significantly different between nonsurvivors and survivors. Only one (2%) survivor had an SIG greater than 5 mEq/L, and only two (7

  16. Ki-67 Is an Independent Predictor of Metastasis and Cause-Specific Mortality for Prostate Cancer Patients Treated on Radiation Therapy Oncology Group (RTOG) 94-08

    SciTech Connect

    Verhoven, Bret; Yan, Yan; Ritter, Mark; Khor, Li-Yan; Hammond, Elizabeth; Jones, Christopher; Amin, Mahul; Bahary, Jean-Paul; Zeitzer, Kenneth; Pollack, Alan

    2013-06-01

    Purpose: The association of Ki-67 staining index (Ki67-SI) with overall survival (OS), disease-specific mortality (DSM), distant metastasis (DM), and biochemical failure (BF) was examined in men with favorable- to intermediate-risk prostate cancer receiving radiation therapy (RT) alone or with short-term androgen deprivation (ADT) in Radiation Therapy Oncology Group (RTOG) 94-08. Methods and Materials: 468 patients (23.6%) on RTOG 94-08 had sufficient tissue for Ki67-SI analysis. The median follow-up time was 7.9 years. Ki67-SI was determined by immunohistochemistry and quantified manually and by image analysis. Correlative analysis versus clinical outcome was performed using the third quartile (≥Q3) cutpoint. A proportional hazards multivariable analysis (MVA) dichotomized covariates in accordance with trial stratification and randomization criteria. Results: In MVAs adjusted for all treatment covariates, high Ki67-SI (≥Q3) was correlated with increased DSM (hazard ratio [HR] 2.48, P=.03), DM (HR 3.5, P=.002), and BF (HR 3.55, P<.0001). MVA revealed similar Ki67-associated hazard ratios in each separate treatment arm for DSM, DM, and BF; these reached significance only for DM in the RT-alone arm and for BF in both arms. Ki67-SI was not a significant predictor of intraprostatic recurrence assessed by repeated biopsy 2 years after treatment. Patients with a high or low Ki67-SI seemed to experience a similar relative benefit from the addition of ADT to radiation. Conclusions: High Ki67-SI independently predicts for increased DSM, DM, and protocol BF in primarily intermediate-risk prostate cancer patients treated with RT with or without ADT on RTOG 94-08 but does not predict for local recurrence or for increased relative benefit from ADT. This and prior studies lend support for the use of Ki67-SI as a stratification factor in future trials.

  17. Posterior Predictive Checks for Conditional Independence between Response Time and Accuracy

    ERIC Educational Resources Information Center

    Bolsinova, Maria; Tijmstra, Jesper

    2016-01-01

    Conditional independence (CI) between response time and response accuracy is a fundamental assumption of many joint models for time and accuracy used in educational measurement. In this study, posterior predictive checks (PPCs) are proposed for testing this assumption. These PPCs are based on three discrepancy measures reflecting different…

  18. Oxidative Damage, Platelet Activation, and Inflammation to Predict Mobility Disability and Mortality in Older Persons: Results From the Health Aging and Body Composition Study

    PubMed Central

    Kritchevsky, Stephen B.; Nicklas, Barbara; Kanaya, Alka M.; Patrignani, Paola; Tacconelli, Stefania; Tranah, Gregory J.; Tognoni, Gianni; Harris, Tamara B.; Incalzi, Raffaele Antonelli; Newman, Anne B.; Pahor, Marco

    2012-01-01

    Background. Inflammation, oxidative damage, and platelet activation are hypothesized biological mechanisms driving the disablement process. The aim of the present study is to assess whether biomarkers representing these mechanisms predicted major adverse health-related events in older persons. Methods. Data are from 2,234 community-dwelling nondisabled older persons enrolled in the Health Aging and Body Composition study. Biomarkers of lipid peroxidation (ie, urinary levels of 8-iso-prostaglandin F2α), platelet activation (ie, urinary levels of 11-dehydro-thromboxane B2), and inflammation (serum concentrations of interleukin-6) were considered as independent variables of interest and tested in Cox proportional hazard models as predictors of (severe) mobility disability and overall mortality. Results. The sample’s (women 48.0%, whites 64.3%) mean age was 74.6 (SD 2.9) years. During the follow-up (median 11.4 years), 792 (35.5%), 269 (12.0%), and 942 (42.2%) events of mobility disability, severe mobility disability, and mortality occurred, respectively. Only interleukin-6 showed significant independent associations with the onset of all the study outcomes. Higher levels of urinary 8-iso-prostaglandin F2α and 11-dehydro-thromboxane B2 independently predicted increased risk of death (hazard ratio 1.10, 95% confidence interval 1.03–1.19 and hazard ratio 1.14, 95% confidence interval 1.06–1.23, respectively). No significant interactions of gender, race, cardiovascular disease, diabetes, and antiplatelet drugs were detected on the studied relationships. Conclusions. The inflammatory marker interleukin-6 is confirmed to be a robust predictor for the onset of negative health-related events. Participants with higher urinary levels of 8-iso-prostaglandin F2α and 11-dehydro-thromboxane B2 presented a higher mortality risk. PMID:22389462

  19. Predictive Value of Carotid Distensibility Coefficient for Cardiovascular Diseases and All-Cause Mortality: A Meta-Analysis

    PubMed Central

    Yuan, Chuang; Wang, Jing; Ying, Michael

    2016-01-01

    Aims The aim of the present study is to determine the pooled predictive value of carotid distensibility coefficient (DC) for cardiovascular (CV) diseases and all-cause mortality. Background Arterial stiffness is associated with future CV events. Aortic pulse wave velocity is a commonly used predictor for CV diseases and all-cause mortality; however, its assessment requires specific devices and is not always applicable in all patients. In addition to the aortic artery, the carotid artery is also susceptible to atherosclerosis, and is highly accessible because of the surficial property. Thus, carotid DC, which indicates the intrinsic local stiffness of the carotid artery and may be determined using ultrasound and magnetic resonance imaging, is of interest for the prediction. However, the role of carotid DC in the prediction of CV diseases and all-cause mortality has not been thoroughly characterized, and the pooled predictive value of carotid DC remains unclear. Methods A meta-analysis, which included 11 longitudinal studies with 20361 subjects, was performed. Results Carotid DC significantly predicted future total CV events, CV mortality and all-cause mortality. The pooled risk ratios (RRs) of CV events, CV mortality and all-cause mortality were 1.19 (1.06–1.35, 95%CI, 9 studies with 18993 subjects), 1.09 (1.01–1.18, 95%CI, 2 studies with 2550 subjects) and 1.65 (1.15–2.37, 95%CI, 6 studies with 3619 subjects), respectively, for the subjects who had the lowest quartile of DC compared with their counterparts who had higher quartiles. For CV events, CV mortality and all-cause mortality, a decrease in DC of 1 SD increased the risk by 13%, 6% and 41% respectively, whereas a decrease in DC of 1 unit increased the risk by 3%, 1% and 6% respectively. Conclusions Carotid DC is a significant predictor of future CV diseases and all-cause mortality, which may facilitate the identification of high-risk patients for the early diagnosis and prompt treatment of CV diseases

  20. Mortality Prediction in ICUs Using A Novel Time-Slicing Cox Regression Method

    PubMed Central

    Wang, Yuan; Chen, Wenlin; Heard, Kevin; Kollef, Marin H.; Bailey, Thomas C.; Cui, Zhicheng; He, Yujie; Lu, Chenyang; Chen, Yixin

    2015-01-01

    Over the last few decades, machine learning and data mining have been increasingly used for clinical prediction in ICUs. However, there is still a huge gap in making full use of the time-series data generated from ICUs. Aiming at filling this gap, we propose a novel approach entitled Time Slicing Cox regression (TS-Cox), which extends the classical Cox regression into a classification method on multi-dimensional time-series. Unlike traditional classifiers such as logistic regression and support vector machines, our model not only incorporates the discriminative features derived from the time-series, but also naturally exploits the temporal orders of these features based on a Cox-like function. Empirical evaluation on MIMIC-II database demonstrates the efficacy of the TS-Cox model. Our TS-Cox model outperforms all other baseline models by a good margin in terms of AUC_PR, sensitivity and PPV, which indicates that TS-Cox may be a promising tool for mortality prediction in ICUs. PMID:26958269

  1. Infant Maltreatment-Related Mortality in Alaska: Correcting the Count and Using Birth Certificates to Predict Mortality

    ERIC Educational Resources Information Center

    Parrish, Jared W.; Gessner, Bradford D.

    2010-01-01

    Objectives: To accurately count the number of infant maltreatment-related fatalities and to use information from the birth certificates to predict infant maltreatment-related deaths. Methods: A population-based retrospective cohort study of infants born in Alaska for the years 1992 through 2005 was conducted. Risk factor variables were ascertained…

  2. The ability of self-rated health to predict mortality among community-dwelling elderly individuals differs according to the specific cause of death: data from the NEDICES Cohort

    PubMed Central

    Fernández-Ruiz, Mario; Guerra-Vales, Juan M.; Trincado, Rocío; Fernández, Rebeca; Medrano, María José; Villarejo, Alberto; Benito-León, Julián; Bermejo-Pareja, Félix

    2013-01-01

    Background The biomedical and psychosocial mechanisms underlying the relationship between self-rated health (SRH) and mortality in elderly individuals remain unclear. Objective To assess the association between different measurements of subjective health (global, age-comparative, and time-comparative SRH) and cause-specific mortality. Methods Neurological Disorders in Central Spain (NEDICES) is a prospective population-based survey of the prevalence and incidence of major age-associated conditions. Data on demographic and health-related variables were collected from 5,278 subjects (≥65 years) at the baseline questionnaire. Thirteen-year mortality and cause of death were obtained from the National Death Registry. Adjusted hazard ratios (aHR) for SRH and all-cause and cause-specific mortality were estimated by Cox proportional hazard models. Results At baseline, 4,958 participants (93.9%) answered the SRH questionnaire. At the end of follow-up 2,468 (49.8%) participants had died (of whom 723 [29.2%] died from cardiovascular diseases, 609 [24.7%] from cancer, and 359 [14.5%] from respiratory diseases). Global SRH predicted independently all-cause mortality (aHR for “poor or very poor” vs. “very good” category: 1.39; 95% confidence interval [CI]: 1.15–1.69). Analysis of cause-specific mortality revealed that global SRH was an independent predictor for death due to respiratory diseases (aHR for “poor or very poor” vs. “very good” category: 2.61; 95% CI: 1.55–4.39), whereas age-comparative SRH exhibited a gradient effect on the risk of death due to stroke. Time-comparative SRH provided small additional predictive value. Conclusions The predictive ability of SRH for mortality largely differs according to the specific cause of death, with the strongest associations found for respiratory disease and stroke mortality. PMID:23615509

  3. Complement Factor 3 Could Be an Independent Risk Factor for Mortality in Patients with HBV Related Acute-on-Chronic Liver Failure

    PubMed Central

    Zhang, Geng-lin; Zhang, Ting; Ye, Yi-nong; Liu, Jing; Zhang, Xiao-hong; Xie, Chan; Peng, Liang; Gao, Zhi-liang

    2016-01-01

    The complement is thought to be involved in the pathogenesis of multiple liver disorders. However, its role in patients with HBV related acute-on-chronic liver failure (HBV-ACLF) remains unclear. Serum levels of the third and fourth complement components (C3, C4) and complement function (CH50) were examined in this prospective, observational study. Associations between their expression and disease activity were analyzed. Survival was analyzed by Kaplan-Meier curves. Predictors of clinical outcome were determined by Cox regression analysis. C3, C4, and CH50 levels were significantly lower in HBV-ACLF patients compared to controls. C3, C4, and CH50 levels were negatively correlated with Tbil levels but positively associated with PTA levels. C3 levels were negatively associated with MELD-Na. C3 levels were significantly lower in HBV-ACLF patients who died compared to patients who survived. In a median hospital stay of 39 days, mortality occurred in 41 patients with a progressive increase based on C3 grade (P = 0.008). The actuarial probability of developing mortality was significantly higher in patients with low C3 grade compared to those with high C3 grade (P < 0.001). Multivariate Cox regression analysis showed that C3 levels were an independent predictor of mortality. Complement played a pathogenic role in HBV-ACLF patients and C3 was an independent predictor of mortality. PMID:27144164

  4. Spatial/Frontal QRS-T Angle Predicts All-Cause Mortality and Cardiac Mortality: A Meta-Analysis

    PubMed Central

    Xie, Jun; Huang, Wei; Xu, Biao

    2015-01-01

    Background A number of studies have assessed the predictive effect of QRS-T angles in various populations since the last decade. The objective of this meta-analysis was to evaluate the prognostic value of spatial/frontal QRS-T angle on all-cause death and cardiac death. Methods PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials were searched from their inception until June 5, 2014. Studies reporting the predictive effect of spatial/frontal QRS-T angle on all-cause/cardiac death in all populations were included. Relative risk (RR) was used as a measure of effect. Results Twenty-two studies enrolling 164,171 individuals were included. In the combined analysis in all populations, a wide spatial QRS-T angle was associated with an increase in all-cause death (maximum-adjusted RR: 1.40; 95% confidence interval [CI]: 1.32 to 1.48) and cardiac death (maximum-adjusted RR: 1.71; 95% CI: 1.54 to 1.90), a wide frontal QRS-T angle also predicted a higher rate of all-cause death (maximum-adjusted RR: 1.71; 95% CI: 1.54 to 1.90). Largely similar results were found using different methods of categorizing for QRS-T angles, and similar in subgroup populations such as general population, populations with suspected coronary heart disease or heart failure. Other stratified analyses and meta-analyses using unadjusted data also generated consistent findings. Conclusions Spatial QRS-T angle held promising prognostic value on all-cause death and cardiac death. Frontal QRS-T angle was also a promising predictor of all-cause death. Given the good predictive value of QRS-T angle, a combined stratification strategy in which QRS-T angle is of vital importance might be expected. PMID:26284799

  5. Sympathetic activity–associated periodic repolarization dynamics predict mortality following myocardial infarction

    PubMed Central

    Rizas, Konstantinos D.; Nieminen, Tuomo; Barthel, Petra; Zürn, Christine S.; Kähönen, Mika; Viik, Jari; Lehtimäki, Terho; Nikus, Kjell; Eick, Christian; Greiner, Tim O.; Wendel, Hans P.; Seizer, Peter; Schreieck, Jürgen; Gawaz, Meinrad; Schmidt, Georg; Bauer, Axel

    2014-01-01

    Background. Enhanced sympathetic activity at the ventricular myocardium can destabilize repolarization, increasing the risk of death. Sympathetic activity is known to cluster in low-frequency bursts; therefore, we hypothesized that sympathetic activity induces periodic low-frequency changes of repolarization. We developed a technique to assess the sympathetic effect on repolarization and identified periodic components in the low-frequency spectral range (≤0.1 Hz), which we termed periodic repolarization dynamics (PRD). Methods. We investigated the physiological properties of PRD in multiple experimental studies, including a swine model of steady-state ventilation (n = 7) and human studies involving fixed atrial pacing (n = 10), passive head-up tilt testing (n = 11), low-intensity exercise testing (n = 11), and beta blockade (n = 10). We tested the prognostic power of PRD in 908 survivors of acute myocardial infarction (MI). Finally, we tested the predictive values of PRD and T-wave alternans (TWA) in 2,965 patients undergoing clinically indicated exercise testing. Results. PRD was not related to underlying respiratory activity (P < 0.001) or heart-rate variability (P = 0.002). Furthermore, PRD was enhanced by activation of the sympathetic nervous system, and pharmacological blockade of sympathetic nervous system activity suppressed PRD (P ≤ 0.005 for both). Increased PRD was the strongest single risk predictor of 5-year total mortality (hazard ratio 4.75, 95% CI 2.94–7.66; P < 0.001) after acute MI. In patients undergoing exercise testing, the predictive value of PRD was strong and complementary to that of TWA. Conclusion. We have described and identified low-frequency rhythmic modulations of repolarization that are associated with sympathetic activity. Increased PRD can be used as a predictor of mortality in survivors of acute MI and patients undergoing exercise testing. Trial registration. ClinicalTrials.gov NCT00196274. Funding. This study was funded by

  6. Independence and Interdependence Predict Health and Wellbeing: Divergent Patterns in the United States and Japan

    PubMed Central

    Kitayama, Shinobu; Karasawa, Mayumi; Curhan, Katherine B.; Ryff, Carol D.; Markus, Hazel Rose

    2010-01-01

    A cross-cultural survey was used to examine two hypotheses designed to link culture to wellbeing and health. The first hypothesis states that people are motivated toward prevalent cultural mandates of either independence (personal control) in the United States or interdependence (relational harmony) in Japan. As predicted, Americans with compromised personal control and Japanese with strained relationships reported high perceived constraint. The second hypothesis holds that people achieve wellbeing and health through actualizing the respective cultural mandates in their modes of being. As predicted, the strongest predictor of wellbeing and health was personal control in the United States, but the absence of relational strain in Japan. All analyses controlled for age, gender, educational attainment, and personality traits. The overall pattern of findings underscores culturally distinct pathways (independent versus interdependent) in achieving the positive life outcomes. PMID:21833228

  7. DISIS: Prediction of Drug Response through an Iterative Sure Independence Screening

    PubMed Central

    Zhang, Naiqian; Wang, Jun; Wang, Haiyun; Zheng, Xiaoqi

    2015-01-01

    Prediction of drug response based on genomic alterations is an important task in the research of personalized medicine. Current elastic net model utilized a sure independence screening to select relevant genomic features with drug response, but it may neglect the combination effect of some marginally weak features. In this work, we applied an iterative sure independence screening scheme to select drug response relevant features from the Cancer Cell Line Encyclopedia (CCLE) dataset. For each drug in CCLE, we selected up to 40 features including gene expressions, mutation and copy number alterations of cancer-related genes, and some of them are significantly strong features but showing weak marginal correlation with drug response vector. Lasso regression based on the selected features showed that our prediction accuracies are higher than those by elastic net regression for most drugs. PMID:25794193

  8. Post-Exercise Heart Rate Recovery Independently Predicts Clinical Outcome in Patients with Acute Decompensated Heart Failure

    PubMed Central

    Youn, Jong-Chan; Lee, Hye Sun; Choi, Suk-Won; Han, Seong-Woo; Ryu, Kyu-Hyung; Shin, Eui-Cheol; Kang, Seok-Min

    2016-01-01

    Background Post-exercise heart rate recovery (HRR) is an index of parasympathetic function associated with clinical outcome in patients with chronic heart failure. However, its relationship with the pro-inflammatory response and prognostic value in consecutive patients with acute decompensated heart failure (ADHF) has not been investigated. Methods We measured HRR and pro-inflammatory markers in 107 prospectively and consecutively enrolled, recovered ADHF patients (71 male, 59 ± 15 years, mean ejection fraction 28.9 ± 14.2%) during the pre-discharge period. The primary endpoint included cardiovascular (CV) events defined as CV mortality, cardiac transplantation, or rehospitalization due to HF aggravation. Results The CV events occurred in 30 (28.0%) patients (5 cardiovascular deaths and 7 cardiac transplantations) during the follow-up period (median 214 days, 11–812 days). When the patients with ADHF were grouped by HRR according to the Contal and O’Quigley’s method, low HRR was shown to be associated with significantly higher levels of serum monokine-induced by gamma interferon (MIG) and poor clinical outcome. Multivariate Cox regression analysis revealed that low HRR was an independent predictor of CV events in both enter method and stepwise method. The addition of HRR to a model significantly increased predictability for CV events across the entire follow-up period. Conclusion Impaired post-exercise HRR is associated with a pro-inflammatory response and independently predicts clinical outcome in patients with ADHF. These findings may explain the relationship between autonomic dysfunction and clinical outcome in terms of the inflammatory response in these patients. PMID:27135610

  9. Self-perceived quality of life predicts mortality risk better than a multi-biomarker panel, but the combination of both does best

    PubMed Central

    2011-01-01

    Background Associations between measures of subjective health and mortality risk have previously been shown. We assessed the impact and comparative predictive performance of a multi-biomarker panel on this association. Methods Data from 4,261 individuals aged 20-79 years recruited for the population-based Study of Health in Pomerania was used. During an average 9.7 year follow-up, 456 deaths (10.7%) occurred. Subjective health was assessed by SF-12 derived physical (PCS-12) and mental component summaries (MCS-12), and a single-item self-rated health (SRH) question. We implemented Cox proportional-hazards regression models to investigate the association of subjective health with mortality and to assess the impact of a combination of 10 biomarkers on this association. Variable selection procedures were used to identify a parsimonious set of subjective health measures and biomarkers, whose predictive ability was compared using receiver operating characteristic (ROC) curves, C-statistics, and reclassification methods. Results In age- and gender-adjusted Cox models, poor SRH (hazard ratio (HR), 2.07; 95% CI, 1.34-3.20) and low PCS-12 scores (lowest vs. highest quartile: HR, 1.75; 95% CI, 1.31-2.33) were significantly associated with increased risk of all-cause mortality; an association independent of various covariates and biomarkers. Furthermore, selected subjective health measures yielded a significantly higher C-statistic (0.883) compared to the selected biomarker panel (0.872), whereas a combined assessment showed the highest C-statistic (0.887) with a highly significant integrated discrimination improvement of 1.5% (p < 0.01). Conclusion Adding biomarker information did not affect the association of subjective health measures with mortality, but significantly improved risk stratification. Thus, a combined assessment of self-reported subjective health and measured biomarkers may be useful to identify high-risk individuals for intensified monitoring. PMID:21749697

  10. Disease Severity and Mortality Can Be Independently Regulated in a Mouse Model of Experimental Graft versus Host Disease

    PubMed Central

    Galvani, Rômulo G.; Lemos, Ramon; Areal, Rômulo B.; Salvador, Pollyanna A.; Zamboni, Dario S.; Wanderley, João Luiz M.; Bonomo, Adriana

    2015-01-01

    Graft versus host disease (GVHD) is the major limitation of allogeneic hematopoietic stem cell transplantation (HSCT) presenting high mortality and morbidity rates. However, the exact cause of death is not completely understood and does not correlate with specific clinical and histological parameters of disease. Here we show, by using a semi-allogeneic mouse model of GVHD, that mortality and morbidity can be experimentally separated. We injected bone marrow-derived dendritic cells (BMDC) from NOD2/CARD15-deficient donors into semi-allogeneic irradiated chimaeras and observed that recipients were protected from death. However, no protection was observed regarding clinical or pathological scores up to 20 days after transplantation. Protection from death was associated with decreased bacterial translocation, faster hematologic recovery and epithelial integrity maintenance despite mononuclear infiltration at day 20 post-GVHD induction with no skew towards different T helper phenotypes. The protected mice recovered from aGVHD and progressively reached scores compatible with healthy animals. Altogether, our data indicate that severity and mortality can be separate events providing a model to study transplant-related mortality. PMID:25643148

  11. The Heartmate Risk Score Predicts Morbidity and Mortality in Unselected LVAD Recipients and Risk Stratifies INTERMACS Class 1 Patients

    PubMed Central

    Adamo, Luigi; Nassif, Michael; Tibrewala, Anjan; Novak, Eric; Vader, Justin; Silvestry, Scott C.; Itoh, Akinobu; Ewald, Gregory A.; Mann, Douglas L.; LaRue, Shane J.

    2016-01-01

    Objectives Evaluation of the Heartmate Risk Score and of its potential benefits in clinical practice. Background The Heartmate Risk Score (HMRS) has been shown to correlate with mortality in the cohort of patients enrolled in the Heartmate II trials but its validity in unselected, “real world” populations remains unclear. Methods We identified a cohort of 269 consecutive patients who received a Heartmate II left ventricular assist device at our institution between June 2005 and June 2013. 90-day and two year mortality rates as well as frequency of several morbid events were compared by retrospectively assigned HMRS category groups. The analysis was repeated within the subgroup of INTERMACS class 1 patients. Results Receiver Operating Curve (ROC) analysis showed that the HMRS correlated with 90-day mortality with an AUC of 0.70. Stratification in low, mid and high HMRS groups identified patients with increasing hazard of 90-day mortality, increasing long term mortality, increasing rate of GI bleeding events and increasing median number of days spent in the hospital in the first year post implant. Within INTERMACS class 1 patients, those in the highest HMRS group were found to have a relative risk of 90-day mortality 5.7 times higher than those in the lowest HMRS group (39.1% vs 6.9%, p=0.029). Conclusions HMRS is a valid clinical tool to stratify risk of morbidity and mortality after implant of Heartmate II devices in unselected patients and can be used to predict short term mortality risk in INTERMACS class 1 patients. PMID:25770410

  12. Predictive score for mortality in patients with COPD exacerbations attending hospital emergency departments

    PubMed Central

    2014-01-01

    Background Limited information is available about predictors of short-term outcomes in patients with exacerbation of chronic obstructive pulmonary disease (eCOPD) attending an emergency department (ED). Such information could help stratify these patients and guide medical decision-making. The aim of this study was to develop a clinical prediction rule for short-term mortality during hospital admission or within a week after the index ED visit. Methods This was a prospective cohort study of patients with eCOPD attending the EDs of 16 participating hospitals. Recruitment started in June 2008 and ended in September 2010. Information on possible predictor variables was recorded during the time the patient was evaluated in the ED, at the time a decision was made to admit the patient to the hospital or discharge home, and during follow-up. Main short-term outcomes were death during hospital admission or within 1 week of discharge to home from the ED, as well as at death within 1 month of the index ED visit. Multivariate logistic regression models were developed in a derivation sample and validated in a validation sample. The score was compared with other published prediction rules for patients with stable COPD. Results In total, 2,487 patients were included in the study. Predictors of death during hospital admission, or within 1 week of discharge to home from the ED were patient age, baseline dyspnea, previous need for long-term home oxygen therapy or non-invasive mechanical ventilation, altered mental status, and use of inspiratory accessory muscles or paradoxical breathing upon ED arrival (area under the curve (AUC) = 0.85). Addition of arterial blood gas parameters (oxygen and carbon dioxide partial pressures (PO2 and PCO2)) and pH) did not improve the model. The same variables were predictors of death at 1 month (AUC = 0.85). Compared with other commonly used tools for predicting the severity of COPD in stable patients, our rule was significantly better

  13. Factors Predicting Mortality in Midlife Adults with and without Down Syndrome Living with Family

    ERIC Educational Resources Information Center

    Esbensen, A. J.; Seltzer, M. M.; Greenberg, J. S.

    2007-01-01

    Background: Little is known about the mortality of individuals with Down syndrome who have lived at home with their families throughout their lives. The current study evaluates the predictors, causes and patterns of mortality among co-residing individuals in midlife with Down syndrome as compared with co-residing individuals with ID owing to other…

  14. Predicting Functional Independence Measure Scores During Rehabilitation with Wearable Inertial Sensors

    PubMed Central

    Sprint, Gina; Cook, Diane J.; Weeks, Douglas L.; Borisov, Vladimir

    2016-01-01

    Evaluating patient progress and making discharge decisions regarding inpatient medical rehabilitation rely upon standard clinical assessments administered by trained clinicians. Wearable inertial sensors can offer more objective measures of patient movement and progress. We undertook a study to investigate the contribution of wearable sensor data to predict discharge functional independence measure (FIM) scores for 20 patients at an inpatient rehabilitation facility. The FIM utilizes a 7-point ordinal scale to measure patient independence while performing several activities of daily living, such as walking, grooming, and bathing. Wearable inertial sensor data were collected from ecological ambulatory tasks at two time points mid-stay during inpatient rehabilitation. Machine learning algorithms were trained with sensor-derived features and clinical information obtained from medical records at admission to the inpatient facility. While models trained only with clinical features predicted discharge scores well, we were able to achieve an even higher level of prediction accuracy when also including the wearable sensor-derived features. Correlations as high as 0.97 for leave-one-out cross validation predicting discharge FIM motor scores are reported. PMID:27054054

  15. Derivation and validation of a multivariate model to predict mortality from pulmonary embolism with cancer: the POMPE-C tool

    PubMed Central

    Roy, Pierre-Marie; Than, Martin P.; Hernandez, Jackeline; Courtney, D. Mark; Jones, Alan E.; Penazola, Andrea; Pollack, Charles V.

    2012-01-01

    Background Clinical guidelines recommend risk stratification of patients with acute pulmonary embolism (PE). Active cancer increases risk of PE and worsens prognosis, but also causes incidental PE that may be discovered during cancer staging. No quantitative decision instrument has been derived specifically for patients with active cancer and PE. Methods Classification and regression technique was used to reduce 25 variables prospectively collected from 408 patients with AC and PE. Selected variables were transformed into a logistic regression model, termed POMPE-C, and compared with the pulmonary embolism severity index (PESI) score to predict the outcome variable of death within 30 days. Validation was performed in an independent sample of 182 patients with active cancer and PE. Results POMPE-C included eight predictors: body mass, heart rate >100, respiratory rate, SaO2%, respiratory distress, altered mental status, do not resuscitate status, and unilateral limb swelling. In the derivation set, the area under the ROC curve for POMPE-C was 0.84 (95% CI: 0.82-0.87), significantly greater than PESI (0.68, 0.60-0.76). In the validation sample, POMPE-C had an AUC of 0.86 (0.78-0.93). No patient with POMPE-C estimate ≤5% died within 30 days (0/50, 0-7%), whereas 10/13 (77%, 46-95%) with POMPE-C estimate >50% died within 30 days. Conclusion In patients with active cancer and PE, POMPE-C demonstrated good prognostic accuracy for 30 day mortality and better performance than PESI. If validated in a large sample, POMPE-C may provide a quantitative basis to decide treatment options for PE discovered during cancer staging and with advanced cancer. PMID:22475313

  16. Two-parameter Failure Model Improves Time-independent and Time-dependent Failure Predictions

    SciTech Connect

    Huddleston, R L

    2004-01-27

    A new analytical model for predicting failure under a generalized, triaxial stress state was developed by the author and initially reported in 1984. The model was validated for predicting failure under elevated-temperature creep-rupture conditions. Biaxial data for three alloy steels, Types 304 and 316 stainless steels and Inconel 600, demonstrated two to three orders of magnitude reduction in the scatter of predicted versus observed creep-rupture times as compared to the classical failure models of Mises, Tresca, and Rankine. In 1990, the new model was incorporated into American Society of Mechanical Engineers (ASME) Code Case N47-29 for design of components operating under creep-rupture conditions. The current report provides additional validation of the model for predicting failure under time-independent conditions and also outlines a methodology for predicting failure under cyclic, time-dependent, creep-fatigue conditions. The later extension of the methodology may have the potential to improve failure predictions there as well. These results are relevant to most design applications, but they have special relevance to high-performance design applications such as components for high-pressure equipment, nuclear reactors, and jet engines.

  17. Do pre-hospital anaesthesiologists reliably predict mortality using the NACA severity score? A retrospective cohort study

    PubMed Central

    RAATINIEMI, L; MIKKELSEN, K; FREDRIKSEN, K; WISBORG, T

    2013-01-01

    Introduction The National Advisory Committee on Aeronautics' (NACA) severity score is widely used in pre-hospital emergency medicine to grade the severity of illness or trauma in patient groups but is scarcely validated. The aim of this study was to assess the score's ability to predict mortality and need for advanced in-hospital interventions in a cohort from one anaesthesiologist-manned helicopter service in Northern Norway. Methods All missions completed by one helicopter service during January 1999 to December 2009 were reviewed. One thousand eight hundred forty-one patients were assessed by the NACA score. Pre-hospital and in-hospital interventions were collected from patient records. The relationship between NACA score and the outcome measures was assessed using receiver operating characteristic (ROC) curves. Results A total of 1533 patients were included in the analysis; uninjured and dead victims were excluded per protocol. Overall mortality rate of the patients with NACA score 1–6 was 5.2%. Trauma patients with NACA score 1–6 had overall mortality rate of 1.9% (12/625) and non-trauma patients 7.4% (67/908). The NACA score's ability to predict mortality was assessed by using ROC area under curve (AUC) and was 0.86 for all, 0.82 for non-trauma and 0.98 for trauma patients. The NACA score's ability to predict a need for respiratory therapy within 24 h revealed an AUC of 0.90 for all patients combined. Conclusion The NACA score had good discrimination for predicting mortality and need for respiratory therapy. It is thus useful as a tool to measure overall severity of the patient population in this kind of emergency medicine system. PMID:24134443

  18. The AFC Score: Validation of a 4-Item Predicting Score of Postoperative Mortality After Colorectal Resection for Cancer or Diverticulitis

    PubMed Central

    Alves, Arnaud; Panis, Yves; Mantion, Georges; Slim, Karem; Kwiatkowski, Fabrice; Vicaut, Eric

    2007-01-01

    Objective: The aim of the present prospective study was to validate externally a 4-item predictive score of mortality after colorectal surgery (the AFC score) by testing its generalizability on a new population. Summary Background Data: We have recently reported, in a French prospective multicenter study, that age older than 70 years, neurologic comorbidity, underweight (body weight loss >10% in <6 months), and emergency surgery significantly increased postoperative mortality after resection for cancer or diverticulitis. Patients and Methods: From June to September 2004, 1049 consecutive patients (548 men and 499 women) with a mean age of 67 ± 14 years, undergoing open or laparoscopic colorectal resection, were prospectively included. The AFC score was validated in this population. We assessed also the predictive value of other scores, such as the “Glasgow” score and the ASA score. To express and compare the predictive value of the different scores, a receiver operating characteristic curve was calculated. Results: Postoperative mortality rate was 4.6%. Variables already identified as predictors of mortality and used in the AFC score were also found to be associated with a high odds ratio in this study: emergency surgery, body weight loss >10%, neurologic comorbidity, and age older than 70 years in a multivariate logistic model. The validity of the AFC score in this population was found very high based both on the Hosmer-Lemeshow goodness of fit test (P = 0.37) and on the area under the ROC curve (0.89). We also found that discriminatory capacity was higher than other currently used risk scoring systems such as the Glasgow or ASA score. Conclusion: The present prospective study validated the AFC score as a pertinent predictive score of postoperative mortality after colorectal surgery. Because it is based on only 4 risk factors, the AFC score can be used in daily practice. PMID:17592296

  19. Disparities in Rates of Inpatient Mortality and Adverse Events: Race/Ethnicity and Language as Independent Contributors

    PubMed Central

    Hines, Anika L.; Andrews, Roxanne M.; Moy, Ernest; Barrett, Marguerite L.; Coffey, Rosanna M.

    2014-01-01

    Patients with limited English proficiency have known limitations accessing health care, but differences in hospital outcomes once access is obtained are unknown. We investigate inpatient mortality rates and obstetric trauma for self-reported speakers of English, Spanish, and languages of Asia and the Pacific Islands (API) and compare quality of care by language with patterns by race/ethnicity. Data were from the United States Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project, 2009 State Inpatient Databases for California. There were 3,757,218 records. Speaking a non-English principal language and having a non-White race/ethnicity did not place patients at higher risk for inpatient mortality; the exception was significantly higher stroke mortality for Japanese-speaking patients. Patients who spoke API languages or had API race/ethnicity had higher risk for obstetric trauma than English-speaking White patients. Spanish-speaking Hispanic patients had more obstetric trauma than English-speaking Hispanic patients. The influence of language on obstetric trauma and the potential effects of interpretation services on inpatient care are discussed. The broader context of policy implications for collection and reporting of language data is also presented. Results from other countries with and without English as a primary language are needed for the broadest interpretation and generalization of outcomes. PMID:25514153

  20. Independent Evaluation of the Rapid Scale-Up Program to Reduce Under-Five Mortality in Burkina Faso

    PubMed Central

    Munos, Melinda; Guiella, Georges; Roberton, Timothy; Maïga, Abdoulaye; Tiendrebeogo, Adama; Tam, Yvonne; Bryce, Jennifer; Baya, Banza

    2016-01-01

    We conducted a prospective evaluation of the “Rapid Scale-Up” (RSU) program in Burkina Faso, focusing on the integrated community case management (iCCM) component of the program. We used a quasi-experimental design in which nine RSU districts were compared with seven districts without the program. The evaluation included documentation of program implementation, assessments of implementation and quality of care, baseline and endline coverage surveys, and estimation of mortality changes using the Lives Saved Tool. Although the program trained large numbers of community health workers, there were implementation shortcomings related to training, supervision, and drug stockouts. The quality of care provided to sick children was poor, and utilization of community health workers was low. Changes in intervention coverage were comparable in RSU and comparison areas. Estimated under-five mortality declined by 6.2% (from 110 to 103 deaths per 1,000 live births) in the RSU area and 4.2% (from 114 to 109 per 1,000 live births) in the comparison area. The RSU did not result in coverage increases or mortality reductions in Burkina Faso, but we cannot draw conclusions about the effectiveness of the iCCM strategy, given implementation shortcomings. The evaluation results highlight the need for greater attention to implementation of iCCM programs. PMID:26787147

  1. Spiritual Peace Predicts 5-Year Mortality in Congestive Heart Failure Patients

    PubMed Central

    Park, Crystal L.; George, Login; Aldwin, Carolyn M.; Choun, Soyoung; Suresh, D. P.; Bliss, Deborah

    2015-01-01

    Objective Spirituality is favorably related to depression, quality of life, hospitalizations, and other important outcomes in congestive heart failure (CHF) patients but has not been examined as a predictor of mortality risk in this population. Given the well-known difficulties in managing CHF, we hypothesized that spirituality would be associated with lower mortality risk, controlling for baseline demographics, functional status, health behaviors, and religiousness. Method Participants were 191 CHF patients (64% male; Mage = 68.6 years, SD = 10.1) who completed a baseline survey and were then followed for five years. Results Nearly one third of the sample (32%) died during the study period. Controlling for demographics and health status, smoking more than doubled the risk of mortality, while alcohol consumption was associated with slightly lower risk of mortality. Importantly, adherence to healthy lifestyle recommendations was associated with halved mortality risk. While both religion and spirituality were associated with better health behaviors at baseline in bivariate analyses, a proportional hazard model showed that only spirituality was significantly associated with reduced mortality risk (by 20%), controlling for demographics, health status, and health behaviors. Conclusions Experiencing spiritual peace, along with adherence to a healthy lifestyle, were better predictors of mortality risk in this sample of CHF patients than were physical health indicators such as functional status and comorbidity. Future research might profitably examine the efficacy of attending to spiritual issues along with standard lifestyle interventions. PMID:26414488

  2. Probability-based motion analysis using bidirectional prediction-independent framework in the compressed domain

    NASA Astrophysics Data System (ADS)

    Kim, Nacwoo; Kim, Tae Yong; Choi, Jong Soo

    2005-06-01

    We propose a reformed method that utilizes the motion vectors (MVs) in an MPEG sequence as the motion depicter for motion analysis and representation of video contents. The MVs are converted to a uniform MV set, independent of the frame type and the direction of prediction, and then used as motion depicters in each frame. To obtain such a uniform MV set, a new motion analysis method using bidirectional prediction-independent framework is proposed. Generally, it is impossible to directly compare an I frame without MV to others such as B or P frames. But, this approach enables a frame-type-independent representation that normalizes temporal features including frame type, macroblock (MB) encoding, and MVs. Experimental results show that our method has good performance and high validity. Compared with a full-decoding method, the average of the processing time in our method is reduced about 55%, because our method is directly processed on the MPEG bit stream after variable length code (VLC) decoding. Average of the effective number of the normalized MVs in the proposed algorithm is increased about 25% than that of the conventional method.

  3. Intraoperative conversion to on-pump coronary artery bypass grafting is independently associated with higher mortality in patients undergoing off-pump coronary artery bypass grafting: A propensity-matched analysis

    PubMed Central

    Borde, Deepak Prakash; Asegaonkar, Balaji; Apsingekar, Pramod; Khade, Sujeet; Futane, Savni; Khodve, Bapu; Annachhatre, Ajita; Puranik, Manish; Sargar, Sayaji; Belapurkar, Yogesh; Deodhar, Anand; George, Antony; Joshi, Shreedhar

    2016-01-01

    Context: One of the main limitations of off-pump coronary artery bypass grafting (OPCAB) is the occasional need for intraoperative conversion (IOC) to on-pump coronary artery bypass grafting. IOC is associated with a significantly increased risk of mortality and postoperative morbidity. The impact of IOC on outcome cannot be assessed by a randomized control design. Aims: The objective of this study was to analyze the incidence, risk factors, and impact of IOC on the outcome in patients undergoing OPCAB. Settings and Design: Three tertiary care level hospitals; retrospective observational study. Subjects and Methods: This retrospective observational study included 1971 consecutive patients undergoing OPCAB from January 2012 to October 2015 at three tertiary care level hospitals by four surgeons. The incidence, patient characteristics, cause of IOC, and its impact on outcome were studied. Statistical Analysis Used: The cohort was divided into two groups according to IOC. Univariate logistic regression was performed to describe the predictors of IOC. Variables that were found to be significant in univariate analysis were introduced into multivariate model, and adjusted odds ratio (OR) was calculated. To further assess the independent effect of IOC on mortality, propensity score matching with a 5:1 ratio of non-IOC to IOC was performed. Results: The overall all-cause in-hospital mortality was 2.6%. IOC was needed in 128 (6.49%) patients. The mortality in the IOC group was significantly higher than non-IOC group (21 of 128 [16.4%] vs. 31 of 1843 [1.7%], P = 0.0001). The most common cause for IOC was hemodynamic disturbances during grafting to the obtuse marginal artery (51/128; 40%). On multivariate logistic regression analysis, left main disease, pulmonary hypertension, and mitral regurgitation independently predicted IOC. We obtained a propensity-matched sample of 692 patients (No IOC 570; IOC 122), and IOC had OR of 16.26 (confidence interval 6.3–41; P < 0

  4. Urine Monocyte Chemoattractant Protein-1 Is an Independent Predictive Factor of Hospital Readmission and Survival in Cirrhosis

    PubMed Central

    Graupera, Isabel; Solà, Elsa; Fabrellas, Núria; Moreira, Rebeca; Solé, Cristina; Huelin, Patricia; de la Prada, Gloria; Pose, Elisa; Ariza, Xavier; Risso, Alessandro; Albertos, Sonia; Morales-Ruiz, Manuel; Jiménez, Wladimiro; Ginès, Pere

    2016-01-01

    MCP-1 (monocyte chemoattractant protein-1) is a proinflammatory cytokine involved in chemotaxis of monocytes. In several diseases, such as acute coronary syndromes and heart failure, elevated MCP-1 levels have been associated with poor outcomes. Little is known about MCP-1 in cirrhosis. AIM: To investigate the relationship between MCP-1 and outcome in decompensated cirrhosis. METHODS: Prospective study of 218 patients discharged from hospital after an admission for complications of cirrhosis. Urine and plasma levels of MCP-1 and other urine proinflammatroy biomarkers: osteopontin(OPN), trefoil-factor3 and liver-fatty-acid-binding protein were measured at admission. Urine non-inflammatory mediators cystatin-C, β2microglobulin and albumin were measured as control biomarkers. The relationship between these biomarkers and the 3-month hospital readmission, complications of cirrhosis, and mortality were assessed. RESULTS: 69 patients(32%) had at least one readmission during the 3-month period of follow-up and 30 patients died(14%). Urine MCP-1 and OPN levels, were associated with 3-month probability of readmission (0.85 (0.27–2.1) and 2003 (705–4586) ug/g creat vs 0.47 (0.2–1.1) and 1188 (512–2958) ug/g creat, in patients with and without readmission, respectively; p<0.05; median (IQR)). Furthermore, urine levels of MCP-1 were significantly associated with mortality (1.01 (1–3.6) vs 0.5 (0.2–1.1) μg/g creat, in dead and alive patients at 3 months; p<0.05). Patients with higher levels of urine MCP-1 (above percentile 75th) had higher probability of development of hepatic encephalopathy, bacterial infections or AKI. Urine MCP-1 was an independent predictive factor of hospital readmission and combined end-point of readmission or dead at 3 months. Plasma levels of MCP-1 did not correlated with outcomes. CONCLUSION: Urine, but not plasma, MCP-1 levels are associated with hospital readmission, development of complications of cirrhosis, and mortality. These

  5. Establishment and validation of ALPH-Q score to predict mortality risk in patients with acute-on-chronic hepatitis B liver failure: a prospective cohort study.

    PubMed

    Wu, Sheng-Jie; Yan, Hua-Dong; Zheng, Zai-Xing; Shi, Ke-Qing; Wu, Fa-Ling; Xie, Yao-Yao; Fan, Yu-Chen; Ye, Bo-Zhi; Huang, Wei-Jian; Chen, Yong-Ping; Zheng, Ming-Hua

    2015-01-01

    Currently, there are no robust models for predicting the outcome of acute-on-chronic hepatitis B liver failure (ACHBLF). We aimed to establish and validate a new prognostic scoring system, named ALPH-Q, that integrates electrocardiography parameters that may be used to predict short-term mortality of patients with ACHBLF. Two hundred fourteen patients were included in this study. The APLH-Q score was constructed by Cox proportional hazard regression analysis and was validated in an independent patient cohort. The area under the receiver-operating characteristic curve was used to compare the performance of different models, including APLH-Q, Child-Pugh score (CPS), model of end-stage liver disease (MELD), and a previously reported logistic regression model (LRM). The APLH-Q score was constructed with 5 independent risk factors, including age (HR = 1.034, 95% CI: 1.007-1.061), liver cirrhosis (HR = 2.753, 95% CI: 1.366-5.548), prothrombin time (HR = 1.031, 95% CI: 1.002-1.062), hepatic encephalopathy (HR = 2.703, 95% CI: 1.630-4.480), and QTc (HR = 1.008, 95% CI: 1.001-1.016). The performance of the ALPH-Q score was significantly better than that of MELD and CPS in both the training (0.896 vs 0.712, 0.896 vs 0.738, respectively, both P < 0.05) and validation cohorts (0.837 vs 0.689, 0.837 vs 0.585, respectively, both P < 0.05). Compared with LRM, APLH-Q also showed a better performance (0.896 vs 0.825, 0.837 vs 0.818, respectively).We have developed a novel APLH-Q score with greater performance than CPS, MELD, and LRM for predicting short-term mortality of patients with ACHBLF. PMID:25590846

  6. Inclusion of ‘ICU-Day’ in a Logistic Scoring System Improves Mortality Prediction in Cardiac Surgery

    PubMed Central

    Doerr, Fabian; Heldwein, Matthias B.; Bayer, Ole; Sabashnikov, Anton; Weymann, Alexander; Dohmen, Pascal M.; Wahlers, Thorsten; Hekmat, Khosro

    2015-01-01

    Background Prolonged intensive care unit (ICU) stay is a predictor of mortality. The length of ICU stay has never been considered as a variable in an additive scoring system. How could this variable be integrated into a scoring system? Does this integration improve mortality prediction? Material/Methods The ‘modified CArdiac SUrgery Score’ (CASUS) was generated by implementing the length of stay as a new variable to the ‘additive CASUS’. The ‘logistic CASUS’ already considers this variable. We defined outcome as ICU mortality and statistically compared the three CASUS models. Discrimination, comparison of receiver operating characteristic curves (DeLong’s method), and calibration (observed/expected ratio) were analyzed on days 1–13. Results Between 2007 and 2010, we included 5207 cardiac surgery patients in this prospective study. The mean age was 67.2±10.9 years. The mean length of ICU stay was 4.6±7.0 days and ICU mortality was 5.9%. All scores had good discrimination, with a mean area under the curve of 0.883 for the additive and modified, and 0.895 for the ‘logistic CASUS’. DeLong analysis showed superiority in favor of the logistic model as from day 5. The calibration of the logistic model was good. We identified overestimation (days 1–5) and accurate (days 6–9) calibration for the additive and ‘modified CASUS’. The ‘modified CASUS’ remained accurate but the ‘additive CASUS’ tended to underestimate the risk of mortality (days 10–13). Conclusions The integration of length of ICU stay as a variable improves mortality prediction significantly. An ‘ICU-day’ variable should be included into a logistic but not an additive model. PMID:26137928

  7. Is the adiposity-associated FTO gene variant related to all-cause mortality independent of adiposity? Meta-analysis of data from 169,551 Caucasian adults.

    PubMed

    Zimmermann, E; Ängquist, L H; Mirza, S S; Zhao, J H; Chasman, D I; Fischer, K; Qi, Q; Smith, A V; Thinggaard, M; Jarczok, M N; Nalls, M A; Trompet, S; Timpson, N J; Schmidt, B; Jackson, A U; Lyytikäinen, L P; Verweij, N; Mueller-Nurasyid, M; Vikström, M; Marques-Vidal, P; Wong, A; Meidtner, K; Middelberg, R P; Strawbridge, R J; Christiansen, L; Kyvik, K O; Hamsten, A; Jääskeläinen, T; Tjønneland, A; Eriksson, J G; Whitfield, J B; Boeing, H; Hardy, R; Vollenweider, P; Leander, K; Peters, A; van der Harst, P; Kumari, M; Lehtimäki, T; Meirhaeghe, A; Tuomilehto, J; Jöckel, K-H; Ben-Shlomo, Y; Sattar, N; Baumeister, S E; Davey Smith, G; Casas, J P; Houston, D K; März, W; Christensen, K; Gudnason, V; Hu, F B; Metspalu, A; Ridker, P M; Wareham, N J; Loos, R J F; Tiemeier, H; Sonestedt, E; Sørensen, T I A

    2015-04-01

    Previously, a single nucleotide polymorphism (SNP), rs9939609, in the FTO gene showed a much stronger association with all-cause mortality than expected from its association with body mass index (BMI), body fat mass index (FMI) and waist circumference (WC). This finding implies that the SNP has strong pleiotropic effects on adiposity and adiposity-independent pathological pathways that leads to increased mortality. To investigate this further, we conducted a meta-analysis of similar data from 34 longitudinal studies including 169,551 adult Caucasians among whom 27,100 died during follow-up. Linear regression showed that the minor allele of the FTO SNP was associated with greater BMI (n = 169,551; 0.32 kg m(-2) ; 95% CI 0.28-0.32, P < 1 × 10(-32) ), WC (n = 152,631; 0.76 cm; 0.68-0.84, P < 1 × 10(-32) ) and FMI (n = 48,192; 0.17 kg m(-2) ; 0.13-0.22, P = 1.0 × 10(-13) ). Cox proportional hazard regression analyses for mortality showed that the hazards ratio (HR) for the minor allele of the FTO SNPs was 1.02 (1.00-1.04, P = 0.097), but the apparent excess risk was eliminated after adjustment for BMI and WC (HR: 1.00; 0.98-1.03, P = 0.662) and for FMI (HR: 1.00; 0.96-1.04, P = 0.932). In conclusion, this study does not support that the FTO SNP is associated with all-cause mortality independently of the adiposity phenotypes. PMID:25752329

  8. Is the adiposity-associated FTO gene variant related to all-cause mortality independent of adiposity? Meta-analysis of data from 169,551 Caucasian adults

    PubMed Central

    Mirza, S. S.; Zhao, J. H.; Chasman, D. I.; Fischer, K.; Qi, Q.; Smith, A. V.; Thinggaard, M.; Jarczok, M. N.; Nalls, M. A.; Trompet, S.; Timpson, N. J.; Schmidt, B.; Jackson, A. U.; Lyytikäinen, L. P.; Verweij, N.; Mueller-Nurasyid, M.; Vikström, M.; Marques-Vidal, P.; Wong, A.; Meidtner, K.; Middelberg, R. P.; Strawbridge, R. J.; Christiansen, L.; Kyvik, K. O.; Hamsten, A.; Jääskeläinen, T.; Tjønneland, A.; Eriksson, J. G.; Whitfield, J. B.; Boeing, H.; Hardy, R.; Vollenweider, P.; Leander, K.; Peters, A.; van der Harst, P.; Kumari, M.; Lehtimäki, T.; Meirhaeghe, A.; Tuomilehto, J.; Jöckel, K.-H.; Ben-Shlomo, Y.; Sattar, N.; Baumeister, S. E.; Smith, G. Davey; Casas, J. P.; Houston, D. K.; März, W.; Christensen, K.; Gudnason, V.; Hu, F. B.; Metspalu, A.; Ridker, P. M.; Wareham, N. J.; Loos, R. J. F.; Tiemeier, H.; Sonestedt, E.; Sørensen, T. I. A.

    2015-01-01

    Summary Previously, a single nucleotide polymorphism (SNP), rs9939609, in the FTO gene showed a much stronger association with all-cause mortality than expected from its association with body mass index (BMI), body fat mass index (FMI) and waist circumference (WC). This finding implies that the SNP has strong pleiotropic effects on adiposity and adiposity-independent pathological pathways that leads to increased mortality. To investigate this further, we conducted a meta-analysis of similar data from 34 longitudinal studies including 169,551 adult Caucasians among whom 27,100 died during follow-up. Linear regression showed that the minor allele of the FTO SNP was associated with greater BMI (n = 169,551; 0.32 kg m−2; 95% CI 0.28–0.32, P < 1 × 10−32), WC (n = 152,631; 0.76 cm; 0.68–0.84, P < 1 × 10−32) and FMI (n = 48,192; 0.17 kg m−2; 0.13–0.22, P = 1.0 × 10−13). Cox proportional hazard regression analyses for mortality showed that the hazards ratio (HR) for the minor allele of the FTO SNPs was 1.02 (1.00–1.04, P = 0.097), but the apparent excess risk was eliminated after adjustment for BMI and WC (HR: 1.00; 0.98–1.03, P = 0.662) and for FMI (HR: 1.00; 0.96–1.04, P = 0.932). In conclusion, this study does not support that the FTO SNP is associated with all-cause mortality independently of the adiposity phenotypes. PMID:25752329

  9. Predicting the capture rate in the Sun from a direct detection signal independently of the astrophysics

    NASA Astrophysics Data System (ADS)

    Herrero-Garcia, Juan

    2016-05-01

    The goal of the works on which this talk is based is to relate a direct detection signal with neutrino limits from the Sun independently of the astrophysics. In order to achieve this we derive a halo-independent lower bound on the dark matter capture rate in the Sun from a direct detection signal, with which one can set upper limits on the branching ratios into different channels from the absence of a high-energy neutrino flux in neutrino observatories. We also extend this bound to the case of inelastic scattering, both endothermic and exothermic. From two inelastic signals we show how the dark matter mass, the mass difference of the states and the couplings to neutrons and protons can be obtained. Furthermore, one can also pin down the exothermic/endothermic nature of the scattering, and therefore a precise lower bound on the solar capture rate is predicted. We also discuss isospin violation and uncertainties due to form factors.

  10. Usefulness of a single-item measure of depression to predict mortality: the GAZEL prospective cohort study

    PubMed Central

    Lefèvre, Thomas; Singh-Manoux, Archana; Stringhini, Silvia; Dugravot, Aline; Lemogne, Cédric; Consoli, Silla M.; Goldberg, Marcel; Zins, Marie

    2012-01-01

    Background: It remains unknown whether short measures of depression perform as well as long measures in predicting adverse outcomes such as mortality. The present study aims to examine the predictive value of a single-item measure of depression for mortality. Methods: A total of 14 185 participants of the GAZEL cohort completed the 20-item Center-for-Epidemiologic-Studies-Depression (CES-D) scale in 1996. One of these items (I felt depressed) was used as a single-item measure of depression. All-cause mortality data were available until 30 September 2009, a mean follow-up period of 12.7 years with a total of 650 deaths. Results: In Cox regression model adjusted for baseline socio-demographic characteristics, a one-unit increase in the single-item score (range 0–3) was associated with a 25% higher risk of all-cause mortality (95% CI: 13–37%, P < 0.001). Further adjustment for health-related behaviours and physical chronic diseases reduced this risk by 36% and 8%, respectively. After adjustment for all these variables, every one-unit increase in the single-item score predicted a 15% increased risk of death (95% CI: 5–27%, P < 0.01). There is also an evidence of a dose–reponse relationship between reponse scores on the single-item measure of depression and mortality. Conclusion: This study shows that a single-item measure of depression is associated with an increased risk of death. Given its simplicity and ease of administration, a very simple single-item measure of depression might be useful for identifying middle-aged adults at risk for elevated depressive symptoms in large epidemiological studies and clinical settings. PMID:21840893