External validation of a risk score model for predicting major clinical events in adults after atrial switch - 03/09/22
Résumé |
Introduction |
A risk model has been proposed to provide a patient individualized estimation of risk for major clinical events (heart failure events, ventricular arrhythmia events, all-cause mortality) in patients with transposition of the great arteries corrected by an atrial switch operation (D-TGA).
The aim of this study was to externally validate the model.
Methods |
A retrospective, multicentric, longitudinal cohort of 417 patients with D-TGA (median age 24 years [interquartile range 18–30], 63% male) independent of the model development and internal validation cohort was studied. Data on risk model predictors (age>30 years, prior ventricular arrhythmia, age>1 year at repair, moderate or greater right ventricular dysfunction, severe tricuspid regurgitation, and mild or greater left ventricular dysfunction) were collected from the time of baseline clinical evaluation.
Results |
The performance of the prediction model in predicting risk at 5 years was assessed. Twenty-eight patients (6.7%) met the major clinical events endpoint within 5 years, with an overall incidence rate of 1.42 per 100 patient-years [95% confidence interval (CI) 0.94–2.05]. Model validation showed a good discrimination between high and low 5-year risk patients (Harrell's C-index of 0.710 (95% CI 0.66 to 0.75)) but tended to overestimate this risk (calibration slope of 0.42 (95% 0.061–0.78); Fig. 1).
Conclusion |
We reported the first external validation of a clinical events risk model in a large D-TGA patient population. Although a good discrimination, the model tends to overestimate the 5-year risk. The development of new risk models is needed to individualize risk predictions in D-TGA patients.
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Vol 14 - N° 3-4
P. 236 - septembre 2022 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.