Relationship between ICU bed availability, ICU readmission, and cardiac arrest in the general wards.
OBJECTIVE
The decision to admit a patient to the ICU is complex, reflecting patient factors and available resources. Previous work has shown that ICU census does not impact mortality of patients admitted to the ICU. However, the effect of ICU bed availability on patients outside the ICU is unknown. We sought to determine the association between ICU bed availability, ICU readmissions, and ward cardiac arrests.


METHODS
In this observational study using data collected between 2009 and 2011, rates of ICU readmission and ward cardiac arrest were determined per 12-hour shift. The relationship between these rates and the number of available ICU beds at the start of each shift (accounting for census and nursing capacity) was investigated. Grouped logistic regression was used to adjust for potential confounders.


METHODS
Five specialized adult ICUs comprising 63 adult ICU beds in an academic medical center.


METHODS
Any patient admitted to a non-ICU inpatient unit was counted in the ward census and considered at risk for ward cardiac arrest. Patients discharged from an ICU were considered at risk for ICU readmission.


METHODS
None.


RESULTS
Data were available for 2,086 of 2,190 shifts. The odds of ICU readmission increased with each decrease in the overall number of available ICU beds (odds ratio = 1.06; 95% CI, 1.00-1.12; p = 0.03), with a similar but not statistically significant association demonstrated in ward cardiac arrest rate (odds ratio = 1.06; 95% CI, 0.98-1.14; p = 0.16). In subgroup analysis, the odds of ward cardiac arrest increased with each decrease in the number of medical ICU beds available (odds ratio = 1.26; 95% CI, 1.06-1.49; p = 0.01).


CONCLUSIONS
Reduced ICU bed availability is associated with increased rates of ICU readmission and ward cardiac arrest. This suggests that systemic factors are associated with patient outcomes, and flexible critical care resources may be needed when demand is high.
1Department of Medicine, University of Chicago, Chicago, IL. 2Department of Health Studies, University of Chicago, Chicago, IL.
James A
JA
Town
Matthew M
MM
Churpek
Trevor C
TC
Yuen
Michael T
MT
Huber
John P
JP
Kress
Dana P
DP
Edelson
D000046:Academic Medical Centers / Q000706:statistics & numerical data; D000328:Adult; D000368:Aged; D003422:Critical Care; D005260:Female; D006323:Heart Arrest / Q000453:epidemiology* / Q000401:mortality; D017052:Hospital Mortality; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D007362:Intensive Care Units / Q000706:statistics & numerical data*; D007902:Length of Stay; D008297:Male; D008875:Middle Aged; D017063:Outcome Assessment, Health Care; D010359:Patient Readmission / Q000706:statistics & numerical data*; D010362:Patients' Rooms / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D012307:Risk Factors; D013997:Time Factors