Plasma biomarkers to predict or rule out early post-discharge events after hospitalization for acute heart failure

Demissei, B. G., Postmus, D., Cleland, J. G., O'Connor, C. M., Metra, M., Ponikowski, P., Teerlink, J. R., Cotter, G., Davison, B. A., Givertz, M. M., Bloomfield, D. M., van Veldhuisen, D. J., Dittrich, H. C., Hillege, H. L. & Voors, A. A., Jun-2017, In : European Journal of Heart Failure. 19, 6, p. 728-738 11 p.

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  • Plasma biomarkers to predict or rule out early post‐discharge events after hospitalization for acute heart failure

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AimImproved prediction of early post-discharge death or rehospitalization after admission for acute heart failure is a major unmet need. We evaluated the value of biomarkers to predict either low or high risk for early post-discharge events.

Methods and resultsA total of 1653 patients enrolled in the PROTECT trial who were discharged alive and with available blood samples were included. Forty-seven biomarkers were serially evaluated in these patients. Measurement closest to discharge was used to evaluate the predictive value of biomarkers for low and high post-discharge risk. Patients were classified as low risk' if post-discharge 30-day risk of death or heart failure rehospitalization was 20% was used to define high risk'. Cut-off values that yielded a 95% negative predictive value and a 20% positive predictive value were identified for each biomarker. Partial area under the receiver operating characteristic curve (pAUC) in the high-sensitivity and high-specificity regions was calculated to compare low-risk and high-risk predictive values. Of patients analysed, 193 (11.7%) patients reached the 30-day death or heart failure rehospitalization outcome. We found marked differences between low-risk and high-risk predictors. Cardiac-specific troponin I was the strongest biomarker for low-risk prediction (pAUC = 0.552, 95% confidence interval 0.52-0.58) while endothelin-1 showed better performance for high-risk prediction (pAUC = 0.560, 95% confidence interval 0.53-0.59). Several biomarkers (individually and in combination) provided added predictive value, on top of a clinical model, in both low-risk and high-risk regions.

ConclusionDifferent biomarkers predicted low risk vs. high risk of early post-discharge death or heart failure readmission in patients hospitalized for acute heart failure.

Original languageEnglish
Pages (from-to)728-738
Number of pages11
JournalEuropean Journal of Heart Failure
Issue number6
Publication statusPublished - Jun-2017


  • Biomarker, Acute heart failure, Risk stratification, Predictive value, Low risk, High risk, SENSITIVITY TROPONIN-T, LENGTH-OF-STAY, 30-DAY READMISSION, CLINICAL-USE, ASCEND-HF, RISK, TRIAL, MORTALITY, OUTCOMES, ROLOFYLLINE

ID: 43950947