Key result
A novel prediction model for ventricular arrhythmias in ARVC accurately distinguished patients with and without events (C-index 0.77; 95% CI 0.73-0.81) and reduced ICD placements by 20.6% (P<0.001).
Authors
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Captured external expert commentary on this paper, strongest first. Original sources are linked where available.
“The ARVCrisk calculator can be used as a guide for making relevant clinical decisions, such as the implantation of a cardioverter-defibrillator (ICD) for primary prevention in patients with ARVC.”
“There is general agreement that most ARVC patients diagnosed following an arrhythmic event benefit from a secondary prevention ICD. However, appropriate patient selection for primary prevention ICDs is challenging.”
May reduce unnecessary ICDs versus consensus algorithms in ARVC; hypothesis-generating and requires prospective validation.
Cohort (n=528)
Yes
Effect estimate: C-index 0.77 (95% CI 0.73-0.81)
p-value: p=<0.001
Cadrin‐Tourigny et al. (2019) conducted a cohort in Arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVC) (n=528). Prediction model for ventricular arrhythmias vs. Current consensus-based ICD placement algorithm was evaluated on Sustained VA (SCD, aborted SCD, sustained ventricular tachycardia, or appropriate ICD therapy) (C-index 0.77, 95% CI 0.73-0.81, p=<0.001). A novel prediction model for ventricular arrhythmias in ARVC accurately distinguished patients with and without events (C-index 0.77; 95% CI 0.73-0.81) and reduced ICD placements by 20.6% (P<0.001).