151. A Validated Model for Sudden Cardiac Death Risk Prediction in Pediatric Hypertrophic Cardiomyopathy
- Author
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Andreea Dragulescu, Cedric Manlhiot, Chet R. Villa, Tanya Papaz, Carolyn Y. Ho, Iacopo Olivotto, John J. Parent, Robert G. Weintraub, Alexandre C. Pereira, Seema Mital, Lee N. Benson, Pete F. Aziz, John L. Jefferies, Michelle Michels, Taylor S. Howard, Stephanie J. Nakano, Virginie Beauséjour Ladouceur, Samuel G. Wittekind, Joseph W. Rossano, Letizia Gardin, Elizabeth A. Stephenson, Katey R. Armstrong, Myriam Lafreniere-Roula, Steven D. Colan, Chun-Po Steve Fan, Paul F. Kantor, Seshadri Balaji, Mark W. Russell, Jacob Mathew, Marc E. Richmond, Robert Whitehill, Emilie Jean-St-Michel, Ashwin K. Lal, Beth D. Kaufman, Christopher Semsarian, Jodie Ingles, Jennifer Conway, Heather T. Henderson, Justin Godown, Aamir Jeewa, Anastasia Miron, Ryan J. Butts, and Cardiology
- Subjects
cardiomyopathies ,Male ,medicine.medical_specialty ,pediatrics ,Adolescent ,Cardiomyopathy ,Risk Assessment ,Sudden cardiac death ,Risk Factors ,Original Research Articles ,Physiology (medical) ,Primary prevention ,Internal medicine ,medicine ,Humans ,Public Health Surveillance ,Young adult ,Child ,Retrospective Studies ,hypertrophic cardiomyopathy ,Models, Statistical ,business.industry ,Age Factors ,Hypertrophic cardiomyopathy ,Reproducibility of Results ,Cardiomyopathy, Hypertrophic ,medicine.disease ,death, sudden, heart ,defibrillators, implantable ,Death, Sudden, Cardiac ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,Cardiology ,Female ,hypertrophy ,Cardiology and Cardiovascular Medicine ,business ,Algorithms - Abstract
Supplemental Digital Content is available in the text., Background: Hypertrophic cardiomyopathy is the leading cause of sudden cardiac death (SCD) in children and young adults. Our objective was to develop and validate a SCD risk prediction model in pediatric hypertrophic cardiomyopathy to guide SCD prevention strategies. Methods: In an international multicenter observational cohort study, phenotype-positive patients with isolated hypertrophic cardiomyopathy 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.
- Published
- 2020