Key result
Validated pediatric HCM risk model predicts SCD with >70% accuracy.
Why the study?
Does an individualized risk prediction model accurately predict sudden cardiac death in pediatric hypertrophic cardiomyopathy?
Observational
Does an individualized risk prediction model accurately predict sudden cardiac death in pediatric hypertrophic cardiomyopathy?
A validated risk prediction model with >70% accuracy can help guide shared decision making for implantable cardioverter defibrillator insertion in pediatric hypertrophic cardiomyopathy.
Answers are grounded in this paper and cite their sources.
May inform pediatric HCM ICD decisions; extends risk models but remains hypothesis-generating.
Our study provides a validated SCD risk prediction model with >70% prediction accuracy and incorporates risk factors that are unique to pediatric hypertrophic cardiomyopathy. An individualized risk prediction model has the potential to improve the application of clinical practice guidelines and shared decision making for implantable cardioverter defibrillator insertion. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT0403679.
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Miron et al. (2020) conducted an observational in Pediatric Hypertrophic Cardiomyopathy. SCD risk prediction model was evaluated on Sudden Cardiac Death (SCD) risk prediction accuracy. A validated sudden cardiac death risk prediction model for pediatric hypertrophic cardiomyopathy demonstrated >70% prediction accuracy.
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