ICU sedation, delirium & recovery
A common longitudinal intensive care unit data format (CLIF) for critical illness research
An erratum to this article was published (Intensive Care Med, Apr 2025 ↗)
Authors' conclusion
CLIF enables transparent, efficient, and reproducible critical care research across diverse health systems.
Study context
- Population
- Critically ill patient admissions from 2020 to 2021 across 9 health systems and 39 hospitals
- Participants
- 111,440 admissions
- Outcome
- Proof-of-concept results
Methodological detailsdata format development with federated proof-of-concept studies, open-source database format, federated research architecture, Population: mean age 60.7 years (SD 17.1), 28% Black, 7% Hispanic, 44% female
- Data format development with federated proof-of-concept studies
- Open-source database format
- Federated research architecture
- Population: mean age 60.7 years (SD 17.1), 28% Black, 7% Hispanic, 44% female
Main finding
As reported in the abstract
In-hospital mortality prediction model AUC across CLIF sites
0.73-0.81
In-hospital mortality prediction model Brier scores across CLIF sites
0.06-0.10
Observational data: associations, not effects.
Original publication
A common longitudinal intensive care unit data format (CLIF) for critical illness research. Intensive Care Med. Published 13 March 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →