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Gender differences in survival in advanced heart failure. Insights from the FIRST study.

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TLDR
Women with advanced heart failure appear to have better survival than men, and subgroup analysis suggests this finding is strongest among patients with a nonischemic etiology of heart failure.
Abstract
Background —Previous natural history studies in broad populations of heart failure patients have associated female gender with improved survival, particularly in patients with a nonischemic etiology of ventricular dysfunction. This study investigates whether a similar survival advantage for women would be evident among patients with advanced heart failure. Methods and Results —The study analysis is based on the Flolan International Randomized Survival Trial (FIRST) study which enrolled 471 patients (359 men and 112 women) who had evidence of end-stage heart failure with marked symptoms (60% NYHA class IV) and severe left ventricular dysfunction (left ventricular ejection fraction 18±4.9%). A Cox proportional-hazards model, adjusted for age, gender, 6-minute walk, dobutamine use at randomization, mean pulmonary artery blood pressure, and treatment assignment, showed a significant association between female gender and better survival (relative risk of death for men versus women was 2.18, 95% CI 1.39 to 3.41; P P =0.275), among patients with a nonischemic etiology of heart failure, the relative risk of death for men versus women was 3.08 (95% CI 1.56 to 6.09, P =0.001), whereas among those with ischemic heart disease, the relative risk of death for men versus women was 1.64 (95% CI 0.87 to 3.09, P =0.127). Conclusions —Women with advanced heart failure appear to have better survival than men. Subgroup analysis suggests this finding is strongest among patients with a nonischemic etiology of heart failure.

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Cardiovascular diseases in women: a statement from the policy conference of the European Society of Cardiology.

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References
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Book ChapterDOI

Regression Models and Life-Tables

TL;DR: The analysis of censored failure times is considered in this paper, where the hazard function is taken to be a function of the explanatory variables and unknown regression coefficients multiplied by an arbitrary and unknown function of time.
Book

Statistical Methods for Survival Data Analysis

Elisa T. Lee
TL;DR: The Fourth Edition of Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis and is an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.
Journal ArticleDOI

The Natural History of Congestive Heart Failure: The Framingham Study

TL;DR: The natural history of congestive heart failure was studied over a 16-year period in 5192 persons initially free of the disease, finding that in almost every five-year age group, from 30 to 62 years, the incidence rate was greater for men than for women.
Journal ArticleDOI

Survival after the onset of congestive heart failure in Framingham Heart Study subjects.

TL;DR: Advances in the treatment of hypertension, myocardial ischemia, and valvular heart disease during the four decades of observation did not translate into appreciable improvements in overall survival after the onset of CHF in this large, unselected population.
Journal ArticleDOI

Regression modelling strategies for improved prognostic prediction.

TL;DR: A general index of predictive discrimination is used to measure the ability of a model developed on training samples of varying sizes to predict survival in an independent test sample of patients suspected of having coronary artery disease.
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