Cardiac arrest & resuscitation
Prognostic models for outcome prediction following in-hospital cardiac arrest using pre-arrest factors: a systematic review, meta-analysis and critical appraisal
Authors' conclusion
Several prognostic models for clinical outcome after attempted resuscitation for IHCA have been published. Most have a moderate risk of bias and have not been validated externally. The GO-FAR score showed the most acceptable performance.
Study context
- Population
- Studies developing, updating or validating prediction models with pre-arrest factors for outcome of attempted resuscitation for in-hospital cardiac arrest (IHCA); Medline, Embase, Web of Science to October 202133 studies
- Comparison
- Prognostic models using pre-arrest factors
- Outcome
- Model performance (pooled AUROC of externally validated models)
Methodological detailsrandom-effects meta-analysis, PROBAST critical appraisal, CHARMS and PRISMA guidelines, 2678 articles screened
- Random-effects meta-analysis
- PROBAST critical appraisal
- CHARMS and PRISMA guidelines
- 2678 articles screened
Pooled result
As reported in the abstract
Pooled AUROC
| Group | Value | AUROC |
|---|---|---|
| GO-FAR | 0.78 (95% CI 0.69–0.85) | 0.78 |
| PAM | 0.59 (95% CI 0.50–0.68) | 0.59 |
| PAR | 0.62 (95% CI 0.49–0.74) | 0.62 |
Value
GO-FAR0.78 (95% CI 0.69–0.85)
PAM0.59 (95% CI 0.50–0.68)
PAR0.62 (95% CI 0.49–0.74)
AUROC
GO-FAR0.78
PAM0.59
PAR0.62
Further pooled results
Included studies by type
- Model development studies
- 16
- Model updating studies
- 5
- Model validation studies
- 12
- Developed models independently validated in external populations
- 6
Most frequent pre-arrest factors
- Age, functional status, (metastatic) malignancy, heart disease, cerebrovascular events, respiratory, renal or hepatic insufficiency, hypotension and sepsis
Original publication
Prognostic models for outcome prediction following in-hospital cardiac arrest using pre-arrest factors: a systematic review, meta-analysis and critical appraisal. Crit Care. Published 20 January 2023. doi:10.
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