scholarly journals Sex Difference in All-Cause and Infection-Specific Mortality Over 10 Years Post Hip Fracture

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 165-165
Author(s):  
Rashmita Bajracharya ◽  
Jack Guralnik ◽  
Jay Magaziner ◽  
Michelle Shardell ◽  
Alan Rathbun ◽  
...  
Keyword(s):  
Hip Fracture ◽  
Hazard Model ◽  
Proportional Hazard ◽  
Men And Women ◽  
Cox Proportional Hazard ◽  
Risk Of Mortality ◽  
All Cause Mortality ◽  
Specific Mortality ◽  
Short Term Mortality

Abstract Men die at a twice higher rate than women in the first two years after fracture and also experience higher infection-related mortality. Most research has only looked at differences in short-term mortality after hip fracture. The objective was to determine if cumulative incidence of all-cause mortality and infection-specific mortality is higher in men compared to women over ten years. Data came from Baltimore Hip Studies7th cohort. Women were frequency-matched (1:1) to men on timing of fracture to ensure equal numbers of men and women. The association of sex and all-cause mortality was analyzed using Cox proportional hazard model and a cause-specific hazard model for infection-specific mortality. Both models controlled for age, cognition, comorbidity, depressive symptoms, BMI, and pre-fracture ADL limitations. Complete-case sample size was 300 (men=145, women=155). By the end of ten years from the date of admission for a hip fracture, there were 237 (men=132, women=105) all-cause deaths and 38 (men=25, women=13) infection-specific deaths. Men had significantly higher all-cause mortality risk [73.7% vs 59.3%; HR=2.31(2.02-2.59)] and infection-specific mortality [17.2% vs 8.3%; HR=4.43(2.07-9.51)] compared to women. In addition to sex, older age, cognition, and comorbidities were associated with all-cause mortality whereas only BMI was associated with infection-specific mortality in adjusted models. Men had a higher risk of mortality over 10 years compared to women, specifically two-fold higher risk of infection-specific mortality compared to all-cause mortality. Findings imply that interventions to prevent/treat infection, tailored by sex, may be needed to narrow significant differences in long-term mortality rates between men and women.

scholarly journals Individual testosterone decline and future mortality risk in men

2018 ◽  
Vol 178 (1) ◽  
pp. 121-128 ◽  
Author(s):  
Stine A Holmboe ◽  
Niels E Skakkebæk ◽  
Anders Juul ◽  
Thomas Scheike ◽  
Tina K Jensen ◽  
...  
Keyword(s):  
Mortality Risk ◽  
Serum Levels ◽  
Proportional Hazard ◽  
Cox Proportional Hazard ◽  
Age Related ◽  
National Mortality ◽  
All Cause Mortality ◽  
Specific Mortality ◽  
Cox Proportional Hazard Models

Objective Male aging is characterized by a decline in testosterone (TS) levels with a substantial variability between subjects. However, it is unclear whether differences in age-related changes in TS are associated with general health. We investigated associations between mortality and intra-individual changes in serum levels of total TS, SHBG, free TS and LH during a ten-year period with up to 18 years of registry follow-up. Design 1167 men aged 30–60 years participating in the Danish Monitoring Trends and Determinants of Cardiovascular Disease (MONICA1) study and who had a follow-up examination ten years later (MONICA10) were included. From MONICA10, the men were followed up to 18 years (mean: 15.2 years) based on the information from national mortality registries via their unique personal ID numbers. Methods Cox proportional hazard models were used to investigate the association between intra-individual hormone changes and all-cause, CVD and cancer mortalities. Results A total of 421 men (36.1%) died during the follow-up period. Men with most pronounced decline in total TS (<10th percentile) had a higher all-cause mortality risk compared to men within the 10th to 90th percentile (hazard ratio (HR): 1.60; 95% confidence interval (CI): 1.08–2.36). No consistent associations were seen in cause-specific mortality analyses. Conclusion Our study showed that higher mortality rates were seen among the men who had the most pronounced age-related decline in TS, independent of their baseline TS levels.

scholarly journals Reduced Mortality with Ondansetron Use in SARS-CoV-2 Infected Inpatients

2021 ◽  
Author(s):  
Vafa Bayat ◽  
Russell Ryono ◽  
Steven Phelps ◽  
Eugene Geis ◽  
Farshid Sedghi ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Length Of Hospital Stay ◽  
Proportional Hazard ◽  
Lengths Of Stay ◽  
Cox Proportional Hazard ◽  
All Cause Mortality ◽  
Cox Proportional Hazard Models ◽  
At Risk Populations ◽  
Approved Drugs

Abstract Background The COVID-19 pandemic has led to a surge in clinical trials evaluating investigational and approved drugs. Retrospective analysis of drugs taken by COVID-19 inpatients provides key information on drugs associated with better or worse outcomes. Method We conducted a retrospective cohort study of 10,741 patients testing positive for SARS-CoV-2 infection within three days of admission to compare risk of 30-day all-cause mortality in patients receiving ondansetron using multivariate Cox proportional-hazard models. All-cause mortality, length of hospital stay, adverse events such as ischemic cerebral infarction, and subsequent positive COVID-19 tests were measured. Results Administration of ≥8 mg ondansetron within 48 hours of admission was correlated with an adjusted hazard ratio for 30-day all-cause mortality of 0.55 (95% CI 0.42–0.70, p&lt;0.001) and 0.52 (95% CI 0.31–0.87, p=0.012) for all and ICU-admitted patients, respectively. Decreased lengths of stay (9.2 vs. 11.6, p&lt;0.001), frequencies of subsequent positive SARS-CoV-2 tests (53.6% vs. 75.0%, p=0.01), and long-term risks of ischemic cerebral ischemia (3.2% vs. 6.1%, p&lt;0.001) were also noted. Conclusions If confirmed by prospective clinical trials, our results suggest ondansetron, a safe, widely available drug, could be used to decrease morbidity and mortality in at-risk populations.

PREDICTIVE ABILITY OF SEVEN DOMAINS OF THE KIHON CHECKLIST FOR INCIDENT DEPENDENCY AND MORTALITY

2019 ◽  
pp. 1-3
Author(s):  
S. Satake ◽  
H. Shimokata ◽  
K. Senda ◽  
I. Kondo6 ◽  
H. Arai ◽  
...  
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Predictive Ability ◽  
Cox Proportional Hazard Model ◽  
Proportional Hazard ◽  
Proportional Hazard Model ◽  
Cox Proportional Hazard ◽  
Risk Of Mortality ◽  
All Cause Mortality ◽  
Structured Questionnaire

The Kihon Checklist (KCL) is a structured questionnaire consisting of 7 domains to assess seniors’ function in daily living. The aim of this study was to examine which domains of the KCL can predict incident dependency and mortality. The municipality sent a KCL questionnaire to independent seniors in Higashi-ura Town and collected the answers of the 5542 seniors who provided complete answers. Their incident dependency and mortality were followed-up for 2.5 years. A Cox proportional hazard model indicated that meeting any of the criteria in instrumental activities of daily living, physical, nutrition, and mood domains significantly predicted the risk of dependency, whereas meeting any of the criteria in physical, nutrition and socialization domains significantly predicted the risk of mortality. Category assessment by the KCL could be useful to predict incident dependency and all-cause mortality.

scholarly journals Sleep arousal burden is associated with long-term all-cause and cardiovascular mortality in 8001 community-dwelling older men and women

2021 ◽  
Author(s):  
Sobhan Salari Shahrbabaki ◽  
Dominik Linz ◽  
Simon Hartmann ◽  
Susan Redline ◽  
Mathias Baumert
Keyword(s):  
Hazard Analysis ◽  
Osteoporotic Fractures ◽  
Community Dwelling ◽  
Health Study ◽  
Sleep Study ◽  
Men And Women ◽  
Cox Proportional Hazard ◽  
All Cause Mortality

Abstract Aims  To quantify the arousal burden (AB) across large cohort studies and determine its association with long-term cardiovascular (CV) and overall mortality in men and women. Methods and results  We measured the AB on overnight polysomnograms of 2782 men in the Osteoporotic Fractures in Men Study (MrOS) Sleep study, 424 women in the Study of Osteoporotic Fractures (SOF) and 2221 men and 2574 women in the Sleep Heart Health Study (SHHS). During 11.2 ± 2.1 years of follow-up in MrOS, 665 men died, including 236 CV deaths. During 6.4 ± 1.6 years of follow-up in SOF, 105 women died, including 47 CV deaths. During 10.7 ± 3.1 years of follow-up in SHHS, 987 participants died, including 344 CV deaths. In women, multivariable Cox proportional hazard analysis adjusted for common confounders demonstrated that AB is associated with all-cause mortality [SOF: hazard ratio (HR) 1.58 (1.01–2.42), P = 0.038; SHHS-women: HR 1.21 (1.06–1.42), P = 0.012] and CV mortality [SOF: HR 2.17 (1.04–4.50), P = 0.037; SHHS-women: HR 1.60 (1.12–2.28), P = 0.009]. In men, the association between AB and all-cause mortality [MrOS: HR 1.11 (0.94–1.32), P = 0.261; SHHS-men: HR 1.31 (1.06–1.62), P = 0.011] and CV mortality [MrOS: HR 1.35 (1.02–1.79), P = 0.034; SHHS-men: HR 1.24 (0.86–1.79), P = 0.271] was less clear. Conclusions Nocturnal AB is associated with long-term CV and all-cause mortality in women and to a lesser extent in men.

scholarly journals One-Hour Plasma Glucose as a Long-Term Predictor of Cardiovascular Events and All-Cause Mortality in a Chinese Older Male Population Without Diabetes: A 20-year Retrospective and Prospective Study

2020 ◽  
Author(s):  
Lingjun Rong ◽  
Xinyu Miao ◽  
Yanping Gong ◽  
Chunlin Li ◽  
Banruo Sun
Keyword(s):  
Plasma Glucose ◽  
Continuous Variable ◽  
Male Population ◽  
Cox Proportional Hazard ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Cox Proportional Hazard Regression

Abstract BackgroundThe association between one-hour plasma glucose (1h-PG) and the incidence of type 2 diabetes has been investigated in previous studies. However, the predictive value of 1h-PG for the risk of cardiovascular disease (CVD) and all-cause mortality, especially in older Asians, has been investigated in only a few studies. Therefore, the influence of 1h-PG on the incidence of CVD and mortality was evaluated in the present study. MethodsThe participants were recruited from the Chinese People’s Liberation Army General Hospital, and were categorized into 1h-PG tertiles. The primary outcomes were all-cause mortality, myocardial infarction, unstable angina, and stroke. Multivariate adjusted Cox proportional hazard regression models were performed to examine the association between risk factors and outcomes and to estimate the risk of CVD and all-cause mortality based on 1h-PG.ResultsThe study included 862 male participants. Median age was 74.0 (25th–75th percentile: 68.0–79.0) years. There were 480 CVD events and 191 deaths during 15,527 person-years of follow-up. The adjusted hazard ratio (HR) of 1h-PG as a continuous variable was 1.097 (95% CI 1.027–1.172; P = 0.006) for CVD events and 1.196 (95% CI 1.115-1.281; P < 0.001) for higher risk of mortality. When compared with the lowest 1h-PG tertile, the other tertiles were associated with CVD events (HR 1.464, 95% CI 1.031–2.080; P = 0.033 and HR 1.538, 95% CI 1.092–2.166; P = 0.014, for tertile 2 and tertile 3 compared with tertile 1, respectively), and the highest 1h-PG tertile had a significantly higher risk of mortality (HR 2.384, 95% CI 1.631-3.485; P < 0.001) after full adjustment.ConclusionHigher 1h-PG is associated with an increased risk of all-cause mortality and CVD. 1h-PG might be a better predictor of CVD than 2h-PG in older adults.

scholarly journals A Study of Factors Affecting the Length of Hospital Stay of COVID-19 Patients by Cox-Proportional Hazard Model in a South Indian Tertiary Care Hospital

2021 ◽  
Vol 12 ◽  
pp. 215013272110002
Author(s):  
Gayathri Thiruvengadam ◽  
Marappa Lakshmi ◽  
Ravanan Ramanujam
Keyword(s):  
Hospital Stay ◽  
Tertiary Care ◽  
Length Of Hospital Stay ◽  
Hazard Model ◽  
Cox Proportional Hazard Model ◽  
Care Hospital ◽  
Proportional Hazard ◽  
Proportional Hazard Model ◽  
Cox Proportional Hazard ◽  
South Indian

Background: The objective of the study was to identify the factors that alter the length of hospital stay of COVID-19 patients so we have an estimate of the duration of hospitalization of patients. To achieve this, we used a time to event analysis to arrive at factors that could alter the length of hospital stay, aiding in planning additional beds for any future rise in cases. Methods: Information about COVID-19 patients was collected between June and August 2020. The response variable was the time from admission to discharge of patients. Cox proportional hazard model was used to identify the factors that were associated with the length of hospital stay. Results: A total of 730 COVID-19 patients were included, of which 675 (92.5%) recovered and 55 (7.5%) were considered to be right-censored, that is, the patient died or was discharged against medical advice. The median length of hospital stay of COVID-19 patients who were hospitalized was found to be 7 days by the Kaplan Meier curve. The covariates that prolonged the length of hospital stay were found to be abnormalities in oxygen saturation (HR = 0.446, P < .001), neutrophil-lymphocyte ratio (HR = 0.742, P = .003), levels of D-dimer (HR = 0.60, P = .002), lactate dehydrogenase (HR = 0.717, P = .002), and ferritin (HR = 0.763, P = .037). Also, patients who had more than 2 chronic diseases had a significantly longer length of stay (HR = 0.586, P = .008) compared to those with no comorbidities. Conclusion: Factors that are associated with prolonged length of hospital stay of patients need to be considered in planning bed strength on a contingency basis.

Long-term systolic blood pressure and all-cause mortality in heart failure with preserved ejection fraction: an analysis of the TOPCAT trial

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P Huang ◽  
C Liu
Keyword(s):  
Heart Failure ◽  
Blood Pressure ◽  
Ejection Fraction ◽  
Funding Source ◽  
Preserved Ejection Fraction ◽  
Risk Of Mortality ◽  
All Cause Mortality ◽  
History Of

Abstract Background Lower systolic blood pressure (SBP) at admission or discharge was associated with poor outcomes in patients with heart failure and preserved ejection fraction (HFpEF). However, the optimal long-term SBP for HFpEF was less clear. Purpose To examine the association of long-term SBP and all-cause mortality among patients with HFpEF. Methods We analyzed participants from the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) study. Participants had at least two SBP measurements of different times during the follow-up were included. Long-term SBP was defined as the average of all SBP measurements during the follow-up. We stratified participants into four groups according to long-term SBP: &lt;120mmHg, ≥120mmHg and &lt;130mmHg, ≥130mmHg and &lt;140mmHg, ≥140mmHg. Multivariable adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) for all-cause mortality associated with SBP level. To assess for nonlinearity, we fitted restricted cubic spline models of long-term SBP. Sensitivity analyses were conducted by confining participants with history of hypertension or those with left ventricular ejection fraction≥50%. Results The 3338 participants had a mean (SD) age of 68.5 (9.6) years; 51.4% were women, and 89.3% were White. The median long-term SBP was 127.3 mmHg (IQR 121–134.2, range 77–180.7). Patients in the SBP of &lt;120mmHg group were older age, less often female, less often current smoker, had higher estimated glomerular filtration rate, less often had history of hypertension, and more often had chronic obstructive pulmonary disease and atrial fibrillation. After multivariable adjustment, long-term SBP of 120–130mmHg and 130–140mmHg was associated with a lower risk of mortality during a mean follow-up of 3.3 years (HR 0.65, 95% CI: 0.49–0.85, P=0.001; HR 0.66, 95% CI 0.50–0.88, P=0.004, respectively); long-term SBP of &lt;120mmHg had similar risk of mortality (HR 1.03, 95% CI: 0.78–1.36, P=0.836), compared with long-term SBP of ≥140mmHg. Findings from restricted cubic spline analysis demonstrate that there was J-shaped association between long-term SBP and all-cause mortality (P=0.02). These association was essentially unchanged in sensitivity analysis. Conclusions Among patients with HFpEF, long-term SBP showed a J-shaped pattern with all-cause mortality and a range of 120–140 mmHg was significantly associated with better outcomes. Future randomized controlled trials need to evaluate optimal long-term SBP goal in patients with HFpEF. Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): China Postdoctoral Science Foundation Grant (2019M660229 and 2019TQ0380)

Association of Dementia-Related Psychosis With Long-term Care Use and Death

Neurology ◽  
2021 ◽  
Vol 96 (12) ◽  
pp. e1620-e1631
Author(s):  
James B. Wetmore ◽  
Yi Peng ◽  
Heng Yan ◽  
Suying Li ◽  
Muna Irfan ◽  
...  
Keyword(s):  
Long Term Care ◽  
Fold Increase ◽  
Proportional Hazard ◽  
Comorbid Conditions ◽  
Term Care ◽  
Risk Of Death ◽  
Cox Proportional Hazard ◽  
Increased Risk ◽  
Cox Proportional Hazard Regression

ObjectiveTo determine the association of dementia-related psychosis (DRP) with death and use of long-term care (LTC); we hypothesized that DRP would be associated with increased risk of death and use of LTC in patients with dementia.MethodsA retrospective cohort study was performed. Medicare claims from 2008 to 2016 were used to define cohorts of patients with dementia and DRP. Outcomes were LTC, defined as nursing home stays of >100 consecutive days, and death. Patients with DRP were directly matched to patients with dementia without psychosis by age, sex, race, number of comorbid conditions, and dementia index year. Association of DRP with outcomes was evaluated using a Cox proportional hazard regression model.ResultsWe identified 256,408 patients with dementia. Within 2 years after the dementia index date, 13.9% of patients developed DRP and 31.9% had died. Corresponding estimates at 5 years were 25.5% and 64.0%. Mean age differed little between those who developed DRP (83.8 ± 7.9 years) and those who did not (83.1 ± 8.7 years). Patients with DRP were slightly more likely to be female (71.0% vs 68.3%) and white (85.7% vs 82.0%). Within 2 years of developing DRP, 16.1% entered LTC and 52.0% died; corresponding percentages for patients without DRP were 8.4% and 30.0%, respectively. In the matched cohort, DRP was associated with greater risk of LTC (hazard ratio [HR] 2.36, 2.29–2.44) and death (HR 2.06, 2.02–2.10).ConclusionsDRP was associated with a more than doubling in the risk of death and a nearly 2.5-fold increase in risk of the need for LTC.

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