Prediction of ventricular arrhythmia in phospholamban p.Arg14del mutation carriers–reaching the frontiers of individual risk prediction

Structured PICO

Does a mutation-specific prediction model improve the accuracy of ventricular arrhythmia risk prediction compared to the existing PLN risk model in PLN p.Arg14del mutation carriers?

Population

PLN p.Arg14del mutation carriers

Intervention

Mutation-specific prediction model for individual ventricular arrhythmia (VA) risk

Comparator

Existing PLN risk model

Outcome

Accuracy of ventricular arrhythmia risk prediction

A mutation-specific prediction model improves the accuracy of ventricular arrhythmia risk prediction in PLN p.Arg14del mutation carriers compared to generic models.

Abstract

This new mutation-specific prediction model for individual VA risk in PLN p.Arg14del mutation carriers is superior to the existing PLN risk model, suggesting that risk prediction using mutation-specific phenotypic features can improve accuracy compared to a more generic approach.

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Cite This Study

Verstraelen et al. (Wed,) studied this question.

synapsesocial.com/papers/69dd1c51854f360ad6359a01 https://doi.org/https://doi.org/10.1093/eurheartj/ehab294

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