Pediatric anesthesia & critical care
Performance of published scoring tools for predicting the risk of perioperative respiratory adverse events in children – An evaluation in a large paediatric cohort
Authors' conclusion
The discriminative ability of existing PRAE risk prediction tools was poor in our test group.
Study context
- Population
- Children undergoing GAcases of GA
- Participants
- 12,364 children
- Comparison
- Six published perioperative respiratory adverse events (PRAE) risk prediction scores
- Primary endpoint
- AUC as the primary measure of predictive performance of each risk prediction score
Methodological detailsexternal validation of risk prediction scores
- External validation of risk prediction scores
Primary result
As reported in the abstract
AUC for prediction of PRAE
| Group | AUC (any PRAE) |
|---|---|
| OLDS score | 0.649 |
OLDS score
AUC (any PRAE)0.649
- AUC range across six tools, any PRAE
- 0.562-0.649
- AUC range across six tools, severe PRAE
- 0.509-0.614
Further findings
PRAE rate
- Any PRAE
- 11.9%
- Severe PRAE (bronchospasm and/or laryngospasm)
- 2.0%
Original publication
Performance of published scoring tools for predicting the risk of perioperative respiratory adverse events in children – An evaluation in a large paediatric cohort. Anaesth Crit Care Pain Med. Published 17 February 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →