Heart failure & cardiomyopathies
A prehospital decision support tool for the diagnosis of acute heart failure: the RAPID-CHF score
Authors' conclusion
A risk score derived from routinely collected prehospital variables accurately estimates HF probability among EMS-transported patients with dyspnoea.
Study context
- Population
- Adults transported by emergency medical services (EMS) for dyspnoea in Victoria, Australia176,269 derivation
- Participants
- 271,204 adults
- Comparison
- Full multivariable model vs simplified RAPID-CHF score for predicting heart failure (HF)
- Outcome
- Discrimination (AUC) and calibration for predicting HF
Methodological detailspopulation-based cohort, derivation and temporal validation cohorts
- Population-based cohort
- Derivation and temporal validation cohorts
Performance
As reported in the abstract
Prediction of HF
| Test or model | AUC derivation | AUC validation |
|---|---|---|
| Full model | 0.861 | 0.862 |
| RAPID-CHF score | 0.835 | 0.836 |
AUC derivation
Full model0.861
RAPID-CHF score0.835
AUC validation
Full model0.862
RAPID-CHF score0.836
Further findings
HF prevalence
- Derivation cohort
- 9.4%
- Validation cohort
- 9.0%
HF prevalence by RAPID-CHF risk category
- Low (score 0-5)
- 1.7%
- Moderate (6-9)
- 13.6%
- High (10-13)
- 46.4%
Decision curve analysis
- Greater net benefit across clinically relevant thresholds than current EMS diagnosis or "treat all"/"treat none" strategies
Original publication
A prehospital decision support tool for the diagnosis of acute heart failure: the RAPID-CHF score. Eur J Heart Fail. Published 4 May 2026. doi:10.
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