Background — Prognostic evaluation in heart failure (HF) is important to predict future events and decide timely management. Many HF patients are treated with an implantable
cardioverter-defibrillator (ICD). This study aimed to validate a meta-analytically derived prognostic score to predict survival in ICD-HF patients.
Methods and Results — The HF Meta-score includes 14 independent mortality predictors identified in a meta-analysis, including age, sex, ethnicity, diabetes, chronic obstructive pulmonary disease, peripheral vascular disease, atrial fibrillation, ischemic cardiomyopathy, history of HF admission, New York Heart Association functional class, left ventricular ejection fraction, renal function, QRS duration, secondary prevention indication, and ICD shocks. The HF Meta-score performance was evaluated in comparison to the Seattle Heart Failure Model (SHFM) and the SHOCKED predictors in a cohort of 9860 ambulatory ICD patients from the Ontario provincial database from 2007-2011. During 3-year follow-up, 1816 patients died. The HF Meta-score showed excellent calibration, very good discrimination (c-statistic 0.74) and enhanced risk classification when compared to the SHOCKED predictors, better reclassifying in 19% and 56% of patients for 1- and 3-year survival, respectively. HF Meta-score performance was similar to the SHFM.
Conclusion — The HF Meta-score is an evidence-based derived model that provides an accurate prognosis assessment in HF patients with ICD. Its development strategy permits further incorporation of new predictors when evidence becomes available.