Plasma Biomarkers to Predict or Rule Out Early Post-Discharge Events after Hospitalization gor Acute Heart Failure
Year: 2017
Type: article
Abstract: AIM: Improved 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 RESULTS: A 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 <5% while risk >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. CONCLUSION: Different biomarkers predicted low risk vs. high risk of early post-discharge death or heart failure readmission in patients hospitalized for acute heart failure.
DOI: 10.1002/ejhf.766
Institutions: University Medical Center Groningen, University of Groningen, Imperial College London, Inova Health System, University of Brescia, Wroclaw Medical University, San Francisco VA Medical Center, University of California, San Francisco, Momentum Research, Brigham and Women's Hospital, Merck & Co., Inc., Rahway, NJ, USA (United States), University of Iowa
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W2593041741