Haemodynamics, fluids & transfusion
Derivation and Validation of Operational Definitions From Claims Data for Identifying Cardiogenic Shock
Authors' conclusion
A claims-based definition combining diagnostic codes with treatment-based criteria demonstrated high diagnostic performance for identifying CS. This approach enables reliable large-scale epidemiologic studies and long-term outcome assessments using administrative data and may facilitate system-level evaluation of critical care delivery in patients with CS.
Study context
- Population
- Patients from a single-center cardiac ICU (CICU) registry, a multicenter cardiogenic shock registry (RESCUE), and the nationwide administrative database of the Korean National Health Insurance ServiceTwo validation cohorts and a national claims population for application · CICU registry 10,156 · RESCUE registry 1,247 · National claims database (population-level application) 207,419
- Participants
- 10,156 vs 1,247
- Comparison
- Claims-based operational definition for cardiogenic shock (CS) using administrative data against clinically adjudicated reference standards
- CICU cohortn = 10,156
- RESCUE cohortn = 1,247
- Outcome
- Diagnostic performance of the claims-based algorithm
Performance
As reported in the abstract
| Test or model | Sensitivity | Specificity | Overall accuracy |
|---|---|---|---|
| CICU cohort | 0.89 | 0.90 | 0.90 |
| RESCUE cohort | 0.95 | — not stated in the abstract | — not stated in the abstract |
Sensitivity
CICU cohort0.89
RESCUE cohort0.95
Specificity
CICU cohort0.90
RESCUE cohort— not stated in the abstract
Overall accuracy
CICU cohort0.90
RESCUE cohort— not stated in the abstract
— not stated in the abstract
Further findings
Patients with CS identified in the nationwide database
- Patients with CS identified
- 207,419
Cumulative mortality in nationwide CS population
- 12 months
- 37.9%
- 5 years
- 49.9%
- 10 years
- 61.7%
Original publication
Derivation and Validation of Operational Definitions From Claims Data for Identifying Cardiogenic Shock. Crit Care Med. Published 5 October 2026. doi:10.
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