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Etiology-specific assessment of predictors of long-term survival in chronic systolic heart failure
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; 11...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5497234/ https://www.ncbi.nlm.nih.gov/pubmed/28785647 http://dx.doi.org/10.1016/j.ijcha.2015.01.015 |
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author | Franke, Jennifer Zugck, Christian Hochadel, Matthias Hack, Anna Frankenstein, Lutz Zhao, Jingting Désirée Ehlermann, Philipp Nelles, Manfred Zeymer, Uwe Winkler, Ralph Zahn, Ralf Katus, Hugo A. Senges, Jochen |
author_facet | Franke, Jennifer Zugck, Christian Hochadel, Matthias Hack, Anna Frankenstein, Lutz Zhao, Jingting Désirée Ehlermann, Philipp Nelles, Manfred Zeymer, Uwe Winkler, Ralph Zahn, Ralf Katus, Hugo A. Senges, Jochen |
author_sort | Franke, Jennifer |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5497234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-54972342017-08-07 Etiology-specific assessment of predictors of long-term survival in chronic systolic heart failure Franke, Jennifer Zugck, Christian Hochadel, Matthias Hack, Anna Frankenstein, Lutz Zhao, Jingting Désirée Ehlermann, Philipp Nelles, Manfred Zeymer, Uwe Winkler, Ralph Zahn, Ralf Katus, Hugo A. Senges, Jochen Int J Cardiol Heart Vasc Article 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. Elsevier 2015-02-26 /pmc/articles/PMC5497234/ /pubmed/28785647 http://dx.doi.org/10.1016/j.ijcha.2015.01.015 Text en © 2015 The Authors. Published by Elsevier Ireland Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Franke, Jennifer Zugck, Christian Hochadel, Matthias Hack, Anna Frankenstein, Lutz Zhao, Jingting Désirée Ehlermann, Philipp Nelles, Manfred Zeymer, Uwe Winkler, Ralph Zahn, Ralf Katus, Hugo A. Senges, Jochen Etiology-specific assessment of predictors of long-term survival in chronic systolic heart failure |
title | Etiology-specific assessment of predictors of long-term survival in chronic systolic heart failure |
title_full | Etiology-specific assessment of predictors of long-term survival in chronic systolic heart failure |
title_fullStr | Etiology-specific assessment of predictors of long-term survival in chronic systolic heart failure |
title_full_unstemmed | Etiology-specific assessment of predictors of long-term survival in chronic systolic heart failure |
title_short | Etiology-specific assessment of predictors of long-term survival in chronic systolic heart failure |
title_sort | etiology-specific assessment of predictors of long-term survival in chronic systolic heart failure |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5497234/ https://www.ncbi.nlm.nih.gov/pubmed/28785647 http://dx.doi.org/10.1016/j.ijcha.2015.01.015 |
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