etiology-specific assessment of predictors of long-term survival in chronic systolic heart failure

etiology-specific assessment of predictors of long-term survival in chronic systolic heart failure

;Jennifer Franke;Christian Zugck;Matthias Hochadel;Anna Hack;Lutz Frankenstein;Jingting Désirée Zhao;Philipp Ehlermann;Manfred Nelles;Uwe Zeymer;Ralph Winkler;Ralf Zahn;Hugo A. Katus;Jochen Senges
international microbiology : the official journal of the spanish society for microbiology 2015 Vol. 7 pp. 61-68
585
franke2015internationaletiology-specific

Abstract

Background: We sought to identify prognostic factors of long-term mortality, specific for the underlying etiology of chronic systolic heart failure (CHF). Methods and results: Between 1995 and 2009 baseline characteristics, treatment and follow-up data from 2318 CHF-patients due to ischemic (ICM; 1100 patients) or dilated cardiomyopathy (DCM; 1218 patients) were prospectively compared. To calculate hazard ratios with 95%-confidence intervals cox regression was used. We respectively established etiology-specific multivariable models of independent prognostic factors. During the follow-up period of up to 14.8 years (mean = 53.1 ± 43.5 months; 10,264 patient-years) 991 deaths (42.8%) occurred. In the ICM-cohort, 5-year-survival was 53.4% (95% CI: 49.9–56.7%), whereas in DCM-patients it was higher (68.1% (95% CI: 65.1–71.0%)). Age, ejection fraction, or hyponatremia were independent predictors for mortality in both cohorts, whereas diabetes, COPD, atrial fibrillation and a heart rate of ≥80/min carried independent predictive power only in ICM-patients. Conclusion: This study demonstrates the disparity of prognostic value of clinically derived risk factors between the two main causes of CHF. The effects of covariables in DCM-patients were lower, suggesting a less modifiable disease through risk factors considering mortality risk. An etiology-specific prognostic model may improve accuracy of survival estimations in CHF.

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252701
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10.1016/j.ijcha.2015.01.015
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