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Biomarkers and low risk in heart failure. Data from COACH and TRIUMPH
Author(s) -
Meijers Wouter C.,
de Boer Rudolf A.,
van Veldhuisen Dirk J.,
Jaarsma Tiny,
Hillege Hans L.,
Maisel Alan S.,
Di Somma Salvatore,
Voors Adriaan A.,
Peacock W. Frank
Publication year - 2015
Publication title -
european journal of heart failure
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.149
H-Index - 133
eISSN - 1879-0844
pISSN - 1388-9842
DOI - 10.1002/ejhf.407
Subject(s) - medicine , heart failure , natriuretic peptide , biomarker , confidence interval , logistic regression , risk stratification , cohort , cardiology , framingham risk score , troponin , troponin i , risk assessment , cohort study , galectin 3 , myocardial infarction , disease , biochemistry , chemistry , computer security , computer science
Aim Traditionally, risk stratification in heart failure ( HF ) emphasizes assessment of high risk. We aimed to determine if biomarkers could identify patients with HF at low risk for death or HF rehospitalization. Methods and results This analysis was a substudy of The Coordinating Study Evaluating Outcomes of Advising and Counselling in Heart Failure ( COACH ) trial. Enrolment of HF patients occurred before discharge. We defined low risk as the absence of death and/or HF rehospitalizations at 180 days. We tested a diverse group of 29 biomarkers on top of a clinical risk model, with and without N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP), and defined the low risk biomarker cut‐off at the 10th percentile associated with high positive predictive value. The best performing biomarkers together with NT‐proBNP and cardiac troponin I ( cTnI ) were re‐evaluated in a validation cohort of 285 HF patients. Of 592 eligible COACH patients, the mean (± SD ) age was 71 (± 11) years and median ( IQR ) NT‐proBNP was 2521 (1301–5634) pg/ mL . Logistic regression analysis showed that only galectin‐3, fully adjusted, was significantly associated with the absence of events at 180 days ( OR 8.1, 95% confidence interval 1.06–50.0, P = 0.039). Galectin‐3, showed incremental value when added to the clinical risk model without NT‐proBNP (increase in area under the curve from 0.712 to 0.745, P = 0.04). However, no biomarker showed significant improvement by net reclassification improvement on top of the clinical risk model, with or without NT‐proBNP . We confirmed our results regarding galectin‐3, NT‐proBNP , and cTnI in the independent validation cohort. Conclusion We describe the value of various biomarkers to define low risk, and demonstrate that galectin‐3 identifies HF patients at (very) low risk for 30‐day and 180‐day mortality and HF rehospitalizations after an episode of acute HF . Such patients might be safely discharged.