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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
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Prognosis of Pediatric Dilated Cardiomyopathy: Nomogram and Risk Score Models for Predicting Death/Heart
1Department of Cardiology, Beijing Children's Hospital, National Center for Children's Health, Capital Medical University, Beijing 100045, China.
Children (Basel, Switzerland)
|July 29, 2025
Summary
This study developed a predictive model for pediatric dilated cardiomyopathy (DCM) patients, identifying key risk factors for death or heart transplantation (D/HT). The new nomogram and scoring system accurately assess D/HT risk in children with DCM.
Area of Science:
- Pediatric Cardiology
- Cardiovascular Research
- Medical Predictive Modeling
Background:
- Dilated cardiomyopathy (DCM) poses significant risks for pediatric patients.
- Accurate prognostication is crucial for managing DCM in children.
Purpose of the Study:
- To develop a predictive model for assessing risk factors and prognoses in pediatric DCM patients.
- To identify independent predictors of adverse outcomes, specifically death or heart transplantation (D/HT).
Main Methods:
- A cohort of 233 pediatric DCM patients was analyzed.
- Univariate and multivariate analyses identified risk factors for D/HT.
- A nomogram and a scoring system were developed and validated.
Main Results:
- Independent predictors of D/HT risk include age of onset, cardiac functional class III-IV, moderate-to-severe mitral regurgitation, low ECG voltage, and need for vasoactive drugs.
- The nomogram model achieved an AUC of 0.804.
- The scoring system demonstrated good predictive performance with a cumulative score threshold of ≥ 13.25.
Conclusions:
- A nomogram and a scoring system were successfully developed for predicting D/HT risk in pediatric DCM.
- These models offer rapid and accurate risk assessment for children with DCM.
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