Cardiac arrest & resuscitation
Clinical Prediction Models for Prognostication After Out-of-Hospital Cardiac Arrest: A Systematic Review and Meta-Analysis
Authors' conclusion
CPMs for neuroprognostication after OHCA demonstrate only moderate accuracy, with substantial heterogeneity across validation cohorts.
Study context
- Population
- Adults with out-of-hospital cardiac arrest (OHCA)
- Participants
- 95,037 adults · 39 observational cohorts
- Comparison
- Clinical prediction models for poor functional outcome
- Outcome
- Prognostic performance (sensitivity, specificity, AUROC) of CPMs for poor functional outcome
Methodological detailsdiagnostic accuracy meta-analysis, PROBAST risk of bias, GRADE certainty
- Diagnostic accuracy meta-analysis
- PROBAST risk of bias
- GRADE certainty
Pooled result
As reported in the abstract
Poor functional outcome
| Strategy | Pooled sensitivity | Pooled specificity |
|---|---|---|
| OHCA score ≥17 | 81.8% (95% CI, 65.8-91.4%) | 74.2% (95% CI, 58.8-85.3%) |
| OHCA score ≥32 | 64.9% (95% CI, 44.0-81.3%) | 89.5% (95% CI, 75.9-95.8%) |
| Cardiac Arrest Hospital Prognosis (CAHP) score ≥150 | 81.3% (95% CI, 77.7-84.4%) | 77.0% (95% CI, 70.6-82.4%) |
Pooled sensitivity
OHCA score ≥1781.8% (95% CI, 65.8-91.4%)
OHCA score ≥3264.9% (95% CI, 44.0-81.3%)
Cardiac Arrest Hospital Prognosis (CAHP) score ≥15081.3% (95% CI, 77.7-84.4%)
Pooled specificity
OHCA score ≥1774.2% (95% CI, 58.8-85.3%)
OHCA score ≥3289.5% (95% CI, 75.9-95.8%)
Cardiac Arrest Hospital Prognosis (CAHP) score ≥15077.0% (95% CI, 70.6-82.4%)
- Pooled AUROCs across the 11 Clinical Prediction Models (CPMs)
- 0.75 to 0.88
Original publication
Clinical Prediction Models for Prognostication After Out-of-Hospital Cardiac Arrest: A Systematic Review and Meta-Analysis. Crit Care Med. Published 11 June 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →