Key result
The PRAIS-2 risk model demonstrated excellent discrimination for 30-day mortality after paediatric cardiac surgery, with an AUC of 0.88 (95% CI 0.82-0.93) in the 2015-2019 validation cohort.
Why the study?
The authors sought to perform an independent temporal external validation of the PRAIS-2 model to predict 30-day mortality in patients undergoing paediatric cardiac surgery.
Does the PRAIS-2 model accurately predict 30-day mortality in pediatric patients undergoing cardiac surgery?
Population
1352 (2004-2009) and 1197 (2015-2019) paediatric cardiac surgical procedures in Bristol, UK
Comparison
PRAIS-2 score performance across two temporally distinct cohorts
Design
Single-centre retrospective analysis of prospectively collected data
Follow-up
30-day
Authors
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May support risk stratification in pediatric cardiac surgery; leaves open prospective trials of clinical impact.
Cohort (n=2,549)
No
Does the PRAIS-2 model accurately predict 30-day mortality in pediatric patients undergoing cardiac surgery?
Effect estimate: AUC 0.88 (95% CI 0.82 to 0.93)
The PRAIS-2 model demonstrates excellent discrimination and good contemporary calibration for predicting 30-day mortality after pediatric cardiac surgery, supporting its wider clinical adoption.
Cocomello et al. (2020) conducted a cohort in Paediatric cardiac surgery (n=2,549). PRAIS-2 risk model was evaluated on 30-day mortality (AUC 0.88, 95% CI 0.82 to 0.93). The PRAIS-2 risk model demonstrated excellent discrimination for 30-day mortality after paediatric cardiac surgery, with an AUC of 0.88 (95% CI 0.82-0.93) in the 2015-2019 validation cohort.
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