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Variation in risk-adjusted cardiac intensive care unit (CICU) length of stay and the association with in-hospital
Daniel M Koerber1, Jason N Katz2, Erin Bohula3
1Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Variability in cardiac intensive care unit (CICU) length of stay (LOS) exists between hospitals. Longer CICU LOS is independently associated with increased in-hospital mortality risk for critically ill cardiovascular patients.
Area of Science:
- Cardiology
- Critical Care Medicine
- Health Services Research
Background:
- Cardiac intensive care unit (CICU) length of stay (LOS) shows significant variability.
- Previous studies lacked detailed risk assessment, limiting understanding of LOS variability.
- Inter-hospital differences in CICU LOS and its association with mortality require further investigation.
Purpose of the Study:
- To evaluate inter-hospital differences in CICU LOS.
- To assess the association between CICU LOS and in-hospital mortality.
- To inform CICU resource utilization and risk prognostication.
Main Methods:
- Utilized data from the Critical Care Cardiology Trials Network (CCCTN) registry (22,862 admissions, 2017-2022).
- Included 35 tertiary and quaternary CICUs with consecutive admissions snapshots.
- Employed Fine and Gray competing risk model to analyze LOS and mortality association.
Main Results:
- Median CICU LOS was 2.2 days; median hospital LOS was 5.9 days.
- Longer LOS associated with younger patients, more comorbidities, higher SOFA scores, and increased need for mechanical ventilation/support.
- Higher CICU LOS tertiles showed increased unadjusted in-hospital mortality (9.3% to 13.4%).
- Individual patient CICU LOS correlated with higher 30-day in-hospital mortality risk (r² = 0.31), significant across heart failure and myocardial infarction subtypes.
Conclusions:
- Significant variation in CICU LOS observed across academic centers.
- CICU LOS is independently associated with all-cause in-hospital mortality.
- Findings support improved CICU resource planning and risk stratification for critically ill cardiovascular patients.
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