Key result
A 4-factor risk score (male sex, LVEF ≤25%, no CRT-D indication, Black race) stratified patients with nonischemic cardiomyopathy into groups with 5-year VTA incidences of 15%, 24%, and 42%.
Why the study?
Clinical trial data have questioned the mortality benefit of an ICD in patients with heart failure due to nonischemic cardiomyopathy.
Can a risk stratification score using demographic and clinical variables predict ventricular tachyarrhythmia in patients with nonischemic cardiomyopathy receiving a primary prevention ICD?
Cohort (n=1,515)
Can a risk stratification score using demographic and clinical variables predict ventricular tachyarrhythmia in patients with nonischemic cardiomyopathy receiving a primary prevention ICD?
A novel clinical risk score incorporating male sex, LVEF ≤25%, lack of CRT-D indication, and Black race can effectively stratify the risk of ventricular tachyarrhythmias in patients with nonischemic cardiomyopathy to help guide primary prevention ICD decisions.
May support VTA risk stratification in nonischemic cardiomyopathy; leaves open prospective validation before guiding ICD decisions.
INTRODUCTION: The implantable cardioverter defibrillator reduces mortality among patients with heart failure (HF) due to ischemic heart disease. Clinical trial data have called into question the benefit of an ICD in patients with HF due to nonischemic cardiomyopathy (NICM). We developed a risk stratification score for ventricular tachyarrhythmia (VTA) among patients with NICM receiving a primary prevention ICD. METHODS: The study population comprised 1515 patients with NICM who were enrolled in the landmark MADIT trials. Fine and Gray analysis was used to develop a model to predict the occurrence of VTAs and ICD therapies while accounting for the competing risk of non-arrhythmic mortality. External validation was carried out in the RAID Trial population. RESULTS: Four risk factors associated with increased risk for VTA were identified: male sex, left ventricular ejection fraction ≤25%, no indication for cardiac resynchronization therapy with a defibrillator (CRT-D), and Black race. A score was generated based on this model, and patients were stratified into low (N = 390), intermediate (N = 728), and high-risk (N = 387) groups. The 5-year cumulative incidences of VTA were 15%, 24%, and 42%, respectively. Application of score groups for the secondary endpoints of Fast VT or VF and Appropriate ICD Shock revealed similar findings. Recurrent event analysis yielded consistent results. The AUC in the validation cohort for the endpoint of Appropriate ICD Shock was 69.3. CONCLUSIONS: Our study shows that patients with NICM can be risk stratified using demographic and clinical variables and may be used when evaluating such patients for a primary prevention ICD.
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Goldenberg et al. (2024) conducted a cohort in Nonischemic cardiomyopathy (NICM) (n=1,515). Risk stratification score (male sex, LVEF ≤25%, no CRT-D indication, Black race) vs. Low vs intermediate vs high risk groups was evaluated on Occurrence of ventricular tachyarrhythmia (VTA). A 4-factor risk score (male sex, LVEF ≤25%, no CRT-D indication, Black race) stratified patients with nonischemic cardiomyopathy into groups with 5-year VTA incidences of 15%, 24%, and 42%.
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