April 18, 2022Open Access

A new prediction model for ventricular arrhythmias in arrhythmogenic right ventricular cardiomyopathy

Structured PICO

Can a prediction model using clinical parameters estimate VA risk in patients with ARVC and no prior VA?

Population

Patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) and no prior ventricular arrhythmias (VA)

Intervention

A new prediction model using readily available clinical parameters

Outcome

Ventricular arrhythmias (VA) riskhard clinical

A new prediction model using clinical parameters can estimate VA risk in ARVC patients without prior VA to guide primary prevention ICD decisions.

Abstract

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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Cite This Study

Cadrin‐Tourigny et al. (Mon,) studied this question.

synapsesocial.com/papers/69d8f3a6183921ebcaae41be https://doi.org/https://doi.org/10.1093/eurheartj/ehac180

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