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Survival and predictors of survival in patients with congestive heart failure due to Chagas' cardiomyopathy.

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TLDR
It is concluded that 50% of the patients with heart failure due to Chagas' disease die in 47 months and that &OV0622;O2max and EF are important indices of survival in this group.
Abstract
BACKGROUNDThe fundamental determinant of the natural history of Chagas' disease is cardiac involvementMETHODS AND RESULTSWe studied 104 male patients with congestive heart failure due to Chagas' disease to estimate the survival distribution function and to evaluate age, functional class (FC), maximal oxygen consumption (VO2max), and ejection fraction (EF) as predictors of survival Statistical evaluation was performed through univariate (Student's t test and chi 2 test) and multivariate analyses (Cox's regression model) Overall survival was 66% at 1 year, 56% at 3 years, and 48% at 5 years Ages were not statistically different (P = 9811) between survivor (403 +/- 87) and nonsurvivor (403 +/- 94) groups The ejection fraction(s) were statistically different (P = 0001) between survival (436 +/- 99) and nonsurvival (306 +/- 81) groups, as was VO2max (P = 0001) (210 +/- 47 and 150 +/- 49, respectively) Most of the surviving patients were in FC II and most of the nonsurvivors were in FC IV (

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Journal ArticleDOI

Predictors of mortality in chronic Chagas disease: a systematic review of observational studies.

Anis Rassi, +1 more
- 06 Mar 2007 - 
TL;DR: A systematic review of published studies indicates that impaired left ventricular function, New York Heart Association class III/IV, cardiomegaly, and nonsustained ventricular tachycardia indicate a poor prognosis in patients with chronic Chagas disease.
Journal ArticleDOI

Myocardial delayed enhancement by magnetic resonance imaging in patients with Chagas' disease: a marker of disease severity.

TL;DR: In Chagas' heart disease (CHD), MDE by MRI quantifies MF that not only can be detected in the early asymptomatic stages but parallels well-established prognostic factors and provides unique information for clinical disease staging.
Journal ArticleDOI

Statistical Methods for Survival Data Analysis

Eric R. Ziegel
- 01 Feb 1993 - 
TL;DR: In this article, Statistical Methods for Survival Data Analysis (SVMDA) is used to analyze survival data in the context of statistical methods for survival data analysis (SDFA).
References
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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 idiopathic dilated cardiomyopathy

TL;DR: Between 1960 and 1973, a total of 104 patients at the Mayo Clinic had a diagnosis of idiopathic dilated cardiomyopathy on the basis of clinical and angiographic criteria; these patients were followed up for 6 to 20 years.
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Survival in men with severe chronic left ventricular failure due to either coronary heart disease or idiopathic dilated cardiomyopathy

TL;DR: This study followed up 182 patients with chronic left ventricular failure who were symptomatic despite therapy and found that the incidence of sudden death was similar in patients with coronary artery disease and idiopathic dilated cardiomyopathy.
Journal ArticleDOI

Factors influencing the one-year mortality of dilated cardiomyopathy.

TL;DR: The clinical assessment of patients with DC can accurately predict the probability of surviving or dying in 1 year, and the most powerful predictor of prognosis was the left intraventricular conduction delay.
Journal ArticleDOI

Correlates and prognostic implication of exercise capacity in chronic congestive heart failure

TL;DR: Patients with severely impaired exercise tolerance had significantly higher rest pulmonary capillary wedge and right atrial pressures than those with a VO2max of 10 to 18 ml/min/kg; however, overlap among individual patients was considerable, and only pulmonaryCapillary wedge pressure at rest correlated significantly withVO2max.
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