ArticleFrontiers in pediatrics2025
Developing a risk prediction model for sudden cardiac death in children with hypertrophic cardiomyopathy.
Article in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- A pragmatic clinical risk score for adverse outcomes in hypertrophic cardiomyopathy using routine laboratory and bedside variables.BMC cardiovascular disorders · 2026Article
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6 authors.
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Abstract
Objective: This study aimed to develop a predictive model for sudden cardiac death (SCD) in children with hypertrophic cardiomyopathy (HCM). Methods: The retrospective study included children diagnosed with HCM who visited Beijing Children's Hospital, Capital Medical University between January 2006 and August 2022. Cox regression analysis was used to identify risk factors for SCD. A nomogram was constructed based on risk factors identified through multivariate analysis. Results: A total of 184 children (115 boys and 69 girls) were included in the study. The median (IQR) age at the initial diagnosis was 4.54 (0.50-10.25) years. Of these, 141 children were diagnosed with primary HCM, while 43 had secondary HCM. The multivariate analysis showed that age <1 year [hazard ratio (HR), 95% confidence interval (CI): 6.232 (2.858-13.591)], female sex [HR: 2.547 (1.460-4.444)], a family history of HCM [HR: 2.622 (1.468-4.683)], pathological Q-waves [HR: 2.290 (1.285-4.082)], fragmented QRS waves [HR: 3.526 (1.786-6.963)], combined arrhythmias (HR: 2.218 [1.136-4.333]), increased interventricular septal thickness [HR: 1.055 (1.008-1.105)], and increased left ventricular posterior wall thickness [HR: 1.060 (1.026-1.096)] were significantly associated with SCD. The nomogram-based SCD prediction model demonstrated strong discriminatory ability, with areas under the curve (AUC) of 0.887 (95% CI: 0.829-0.945) at 1 year, 0.839 (95% CI: 0.777-0.902) at 2 years, 0.847 (95% CI: 0.782-0.912) at 3 years, 0.855 (95% CI: 0.791-0.919) at 4 years, 0.850 (95% CI: 0.789-0.911) at 5 years, and 0.845 (95% CI: 0.763-0.926) at 10 years. Predicted probabilities closely aligned with observed probabilities, indicating good calibration of the model. Conclusion: A predictive model for SCD in children with HCM was developed, demonstrating strong internal consistency and reliability. External validation is recommended before clinical implementation.
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