acePredictive performance of vital sign–based prediction models for in-hospital cardiac arrest: a systematic review and meta-analysis
Abstract Background In-hospital cardiac arrest (IHCA) is a major patient-safety event often preceded by detectable clinical deterioration. Vital sign–based cardiac arrest prediction models have been developed to identify hospitalized patients at increased risk of IHCA, but their predictive performance has not been quantitatively synthesized across studies. Methods This PRISMA-based systematic review and meta-analysis was registered in PROSPERO. Ovid Embase, Ovid MEDLINE, and the Cochrane Central Register of Cont…
The evidence base is weak: half of included studies had high risk of bias, heterogeneity was substantial, and calibration, alert burden and clinical utility remain untested.
Only three studies contributed to the primary meta-analysis, heterogeneity was substantial, and half of the included studies had a high overall risk of bias, so the pooled AUROC is only an exploratory summary.
Evidence
- Peer-reviewedBMC Cardiovascular Disorders2026-10-15
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Truvace Impact Record TRV-2026-1595, v1: “Predictive performance of vital sign–based prediction models for in-hospital cardiac arrest: a systematic review and meta-analysis.” Truvace, 2026-10-16. /record/TRV-2026-1595 (accessed at citation time). sha256 92b75a5b5a257134…
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