Paediatric anaesthesia & critical care
A multimodal model integrating early clinical and biomarker data to predict 1-year outcomes after pediatric cardiac arrest
Authors' conclusion
Brain injury biomarkers and MRI Injury Score improved prognostic accuracy over clinical variables alone for 1-year outcome in the Outcomes Cohort.
Study context
- Population
- Children aged 48 h-17 years with ICU admission after cardiac arrest118 in Outcomes Cohort
- Participants
- 163 children
- Comparison
- Clinical model with vs without day-1 brain injury biomarkers
- Outcome
- Unfavorable outcome:
- Death
- Vineland Adaptive Behavior Scale <70
- Follow-up
- 1 year
Methodological detailsplanned analysis of the POCCA study, bootstrap-generated AUROCs, likelihood ratio tests
- Planned analysis of the POCCA study
- Bootstrap-generated AUROCs
- Likelihood ratio tests
Performance
As reported in the abstract
Model fit, clinical + biomarkers vs clinical alone
- Clinical + biomarkers vs Clinical: P = 0.002
- Clinical + biomarkers vs Clinical: P = 0.07
Further findings
Incremental value of MRI Injury Score
| aOR (95% CI) | P value | ||
|---|---|---|---|
| MRI Injury Score | 1.13 (1.03–1.24) | P = 0.016 | |
| 0.512Adjusted odds ratio (log scale) |
Discrimination and calibration, penalized regression model (highest of four approaches)
- Optimism-corrected AUROC
- 0.868 (95% CI 0.82-0.94)
- Calibration intercept (0.00-0.26)
- 0.050
- Calibration slope (1.00-1.47)
- 1.067
Original publication
A multimodal model integrating early clinical and biomarker data to predict 1-year outcomes after pediatric cardiac arrest. Resuscitation. Published 24 August 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →