Abstract 1252: A Multimarker Strategy for Risk Prediction in Heart Failure: Application of Novel Methods in a Community Cohort
Introduction: Mortality among patients with heart failure (HF) is high. Though individual biomarkers have been studied to determine their value in risk prediction, the role of a multimarker strategy in predicting mortality above established risk indicators requires evaluation in a relevant cohort using robust analytical methods.
Objective: To determine whether adding C-reactive protein (CRP), B-type natriuretic peptide (BNP), and troponin T (TnT) to established risk indicators improved HF mortality risk prediction.
Methods: Olmsted County residents presenting with HF from July 2004 to September 2007 were prospectively recruited to undergo biomarker measurement. We investigated whether addition of CRP, BNP, and TnT to a model including established risk indicators improved 6-month mortality risk prediction using multiple methods (c statistic, net reclassification index, integrated discrimination improvement).
Results: Of 566 participants (mean age 77±13 years, 48% male), 87(15%) patients died after 6 months follow-up. Patients with CRP (<12.1mg/L), BNP (<341pg/mL), and TnT (≥0.01ng/mL) below the median (n=112) had the lowest mortality (3%), those with one or two biomarkers above the median had intermediate mortality, and those with all biomarkers above the median (n=105) had markedly increased 6-month mortality (33%). After adjustment for other predictors, higher CRP, BNP, and TnT were each associated with increased mortality, with odds ratios (95% confidence intervals) of 1.66(1.24 –2.24), 2.06(1.42–3.07), and 1.45(1.12–1.87), respectively. While adding CRP, BNP, and TnT individually to the model improved mortality risk prediction, the combination of two or more biomarkers offered greater incremental benefit. Using all biomarkers resulted in an increase in the c statistic from 0.747 to 0.832 (p<0.001), a net reclassification index of 0.33 (p<0.001), and a 100% relative improvement in risk discrimination (integrated discrimination improvement 0.097, p<0.001).
Conclusions: The combined use of CRP, BNP, and TnT markedly improved the prediction of 6-month mortality in HF beyond established risk indicators. Implementation of a multimarker strategy including CRP, BNP, and TnT for risk prediction in HF should be considered.
This research has received full or partial funding support from the American Heart Association, AHA Midwest Affiliate (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, South Dakota & Wisconsin).