Key result
Early HF risk score stratifies 1-year post-MI ICD events from 5% to 38%.
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Why the study?
After AMI with LV dysfunction, reassessment primarily addresses arrhythmic risk and ICD candidacy, but complementary evaluation of HF-related event risk may refine risk stratification.
Does the HF WICD-MI score accurately predict 1-year death or heart failure events in patients with LVEF ≤35% after myocardial infarction undergoing ICD implantation?
Cohort (n=1,015)
Yes
Does the HF WICD-MI score accurately predict 1-year death or heart failure events in patients with LVEF ≤35% after myocardial infarction undergoing ICD implantation?
A simple heart failure-based clinical score using 4 pre-implant features can effectively stratify the 1-year risk of early post-implant mortality or heart failure events in post-MI patients undergoing ICD implantation.
Answers are grounded in this paper and cite their sources.
May aid post-MI ICD risk stratification; extends GRACE/VALIANT-HF models but leaves open prospective validation.
BACKGROUND After acute myocardial infarction (AMI) with left ventricular (LV) dysfunction, guideline-recommended reassessment at 40-90 days primarily addresses arrhythmic risk and implantable cardioverter-defibrillator (ICD) candidacy. In this setting, a complementary evaluation of heart failure (HF)-related event risk may refine risk stratification. OBJECTIVE We aimed to quantify post-ICD HF event risk and develop a simple score usable at the time of ICD decision. METHODS We analyzed 1,015 patients from the WICD-MI study (41 French centers) with LVEF ≤35% after AMI, equipped with a wearable cardioverter-defibrillator (WCD) and subsequently implanted with an ICD. We hypothesized that early HF features after MI could predict subsequent HF outcomes and therefore assessed five pre-implant HF features: HF history before AMI; cardiogenic shock, congestive HF during AMI; acute HF hospitalization during WCD period; and NYHA status at ICD implantation. The primary outcome was a composite of death or HF events (hospitalization, LV assist device, transplantation) at 1 year post-ICD. RESULTS The 1-year risk of the composite outcome was 12.7%. All HF features except prior HF independently predicted the primary outcome: cardiogenic shock (aHR=1.63, p=0.013), congestive HF (aHR=2.02, p=0.0004), acute HF hospitalization (aHR=2.96, p<0.0001), and NYHA III/IV (aHR=1.64, p=0.025). Risk increased from 5% (no points/HF features) to 38% (≥3 points/HF features). External validation in HRMI (n=22,418) showed improved discrimination for HF hospitalization versus GRACE (ΔC-index +0.026; p=0.001) and similar performance to VALIANT-HF, with greater simplicity. CONCLUSION In post-MI patients undergoing ICD implantation, a simple HF-based score identifies patients at higher risk of early post-implant HF events and may support integrated management, including timely HF referral.
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Echivard et al. (2026) conducted a cohort in Myocardial infarction with left ventricular dysfunction (n=1,015). Presence of early heart failure features (HF WICD-MI score ≥3 points) vs. Absence of heart failure features (0 points) was evaluated on Composite of death or HF events (hospitalization, LV assist device, transplantation) at 1 year post-ICD. A simple score based on early heart failure features stratified 1-year risk of death or heart failure events in post-MI patients with an ICD, ranging from 5% with 0 points to 38% with ≥3 points.
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