BACKGROUND: Natriuretic peptides, particularly brain natriuretic peptide (BNP), are elevated in heart failure and therefore considered to be excellent predictors of outcome. Vasopressin is also known to be related to the severity of heart disease. Copeptin--an inactive fragment of the vasopressin precursor--has not been previously investigated in the context of heart failure. MATERIALS AND METHODS: We prospectively studied 268 patients with advanced heart failure after they had been discharged from the hospital. We investigated the ability of BNP and copeptin to predict death, re-hospitalization due to heart failure, and a combination of the two endpoints. RESULTS: Over a mean follow-up period of 15.8 months (up to 24 months), 83 patients died, 122 patients experienced worsening of heart failure, and 145 patients achieved the combined endpoint. Univariate predictors of death were copeptin, BNP, age and impaired kidney function. In multivariate analysis, copeptin (chi(2) = 16, P < 0.0001) and age (chi(2) = 4, P < 0.05) were independent predictors. Univariate predictors of re-hospitalization due to heart failure were copeptin, BNP, age and impaired kidney function. Furthermore, in multivariate analysis BNP (chi(2) = 18, P < 0.0001), age (chi(2) = 11.8, P < 0.001) and copeptin (chi(2) = 4.2, P < 0.05) were found to be independent predictors. CONCLUSION: Our study is the first to show that copeptin is an excellent predictor of outcome in advanced heart failure patients. Its value is superior to that of BNP in predicting death and a combined endpoint, although BNP is still suitable for predicting chronic heart failure (CHF) re-hospitalization. Our data imply that vasopressin antagonism might be a new target to improve outcome in this population.
BACKGROUND: Natriuretic peptides, particularly brain natriuretic peptide (BNP), are elevated in heart failure and therefore considered to be excellent predictors of outcome. Vasopressin is also known to be related to the severity of heart disease. Copeptin--an inactive fragment of the vasopressin precursor--has not been previously investigated in the context of heart failure. MATERIALS AND METHODS: We prospectively studied 268 patients with advanced heart failure after they had been discharged from the hospital. We investigated the ability of BNP and copeptin to predict death, re-hospitalization due to heart failure, and a combination of the two endpoints. RESULTS: Over a mean follow-up period of 15.8 months (up to 24 months), 83 patients died, 122 patients experienced worsening of heart failure, and 145 patients achieved the combined endpoint. Univariate predictors of death were copeptin, BNP, age and impaired kidney function. In multivariate analysis, copeptin (chi(2) = 16, P < 0.0001) and age (chi(2) = 4, P < 0.05) were independent predictors. Univariate predictors of re-hospitalization due to heart failure were copeptin, BNP, age and impaired kidney function. Furthermore, in multivariate analysis BNP (chi(2) = 18, P < 0.0001), age (chi(2) = 11.8, P < 0.001) and copeptin (chi(2) = 4.2, P < 0.05) were found to be independent predictors. CONCLUSION: Our study is the first to show that copeptin is an excellent predictor of outcome in advanced heart failurepatients. Its value is superior to that of BNP in predicting death and a combined endpoint, although BNP is still suitable for predicting chronic heart failure (CHF) re-hospitalization. Our data imply that vasopressin antagonism might be a new target to improve outcome in this population.
Authors: Pasqualina L Santaguida; Andrew C Don-Wauchope; Mark Oremus; Robert McKelvie; Usman Ali; Stephen A Hill; Cynthia Balion; Ronald A Booth; Judy A Brown; Amy Bustamam; Nazmul Sohel; Parminder Raina Journal: Heart Fail Rev Date: 2014-08 Impact factor: 4.214
Authors: Katarzyna Mizia-Stec; Bartosz Lasota; Magdalena Mizia; Artur Chmiel; Tomasz Adamczyk; Jerzy Chudek; Zbigniew Gasior Journal: Heart Vessels Date: 2012-11-10 Impact factor: 2.037
Authors: Wiebke Fenske; Christoph Wanner; Bruno Allolio; Christiane Drechsler; Katja Blouin; Jürgen Lilienthal; Vera Krane Journal: J Am Soc Nephrol Date: 2011-03-17 Impact factor: 10.121
Authors: Christian Zweifel; Mira Katan; Philipp Schuetz; Martin Siegemund; Nils G Morgenthaler; Adrian Merlo; Beat Mueller; Mirjam Christ-Crain Journal: BMC Neurol Date: 2010-05-26 Impact factor: 2.474