Why the study?
A prediction model was needed to estimate ventricular arrhythmia risk and guide decisions regarding primary prevention ICDs in patients with ARVC and no prior VA.
Can a prediction model using clinical parameters estimate VA risk in patients with ARVC and no prior VA?
Can a prediction model using clinical parameters estimate VA risk in patients with ARVC and no prior VA?
A new prediction model using clinical parameters can estimate VA risk in ARVC patients without prior VA to guide primary prevention ICD decisions.
Using the largest cohort of patients with ARVC and no prior VA, a prediction model using readily available clinical parameters was devised to estimate VA risk and guide decisions regarding primary prevention ICDs (www.arvcrisk.com).
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Cadrin‐Tourigny et al. (2022) studied this question.
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