Multimarker strategy for the prediction of 31 days cardiac death in patients with acutely decompensated chronic heart failure

Abstract

Background: To investigate the combined prognostic value of admission serum levels of B-type natriuretic peptide (BNP), cardiac troponin I (cTnI) and high sensitivity C-reactive protein (hs-CRP), in patients hospitalized because of acutely decompensated severe (New York Heart Association class III/IV) low-output chronic heart failure (CHF).

Methods: A total of 577 consecutive patients recruited in the 5 participating centers, were studied. Cardiac mortality by 31 days was the prespecified primary study end point.

Results: A total of 102 (17.7%) patients died by 31 days. When the study patients were divided according to the number of elevated study biomarkers, there was a significant gradual increased risk of 31-day cardiac death with increasing in the number of elevated biomarkers (p<0.001). The value of the discriminant C statistic for the Cox regression analysis, increased significantly when each of the study biomarkers was incorporated with the other risk predictors into a Cox regression model, with the highest C statistic value for the Cox regression model that included all the study biomarkers (p<0.001). By multivariate Cox regression analysis, elevated serum levels of BNP (p=0.002), cTnI (p<0.001) and hs-CRP (p=0.02) were independent predictors of the study end point.

Conclusions: In conclusion, in patients hospitalized for acute decompensation of severe (NYHA III/IV) low-output CHF, BNP, cTnI and hs-CRP upon admission offers enhanced early risk stratification. With increasing number of elevated biomarkers, the risk of 31-day cardiac death increases gradually that implies treatment intensification, and closer follow-up.