Perioperative medicine & outcomes
Effect of mortality prediction models on resource use benchmarking of intensive care units
Authors' conclusion
SRURs provide a robust tool for benchmarking resource use within and between ICUs.
Study context
- Population
- ICU admissions
- Participants
- 68,914 admissions
- Exposure
- Finnish Intensive Care Consortium (FICC) model vs SAPS-II model for SRUR benchmarking
- Outcome
- Standardized resource use ratios (SRURs) by mortality prediction model
Methodological detailsregistry-based comparison of mortality prediction models
- Registry-based comparison of mortality prediction models
Main finding
As reported in the abstract
SRURs
- Standardized resource use ratios (SRURs) practically identical and consistent with both models
- FICC predicted mortality risk accurately; SAPS-II grossly overestimated risk of death
Observational data: associations, not effects.
Further findings
Resource use per survivor by decile of predicted mortality
- Increased from 1 length of stay (LOS) day and ≈50 Therapeutic Intervention Scoring System (TISS) points in first decile to 10 LOS-days and 450 TISS in tenth decile, both models
Original publication
Effect of mortality prediction models on resource use benchmarking of intensive care units. J Crit Care. Published 20 April 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →