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Original ArticleOpen Access
Length of Surgical Intensive Care Unit Stay and Risk Factors
Bunburaphong P 
,
Werawatganon T ,
W ,
Riyagoon . ,
Techapichetvanich K ,
Ramdit W
,
Werawatganon T ,
W ,
Riyagoon . ,
Techapichetvanich K ,
Ramdit W THEWARUG WERAWATGANON,M.D.*,
KAROON TECHAPICHETVANICH, M.D.*,
Objective : To assess length of stay of patients in the surgical intensive care unit (ICU)
and to determine risk factors for a long ICU stay.
Design : Review of retrospective data.
Setting : University hospital surgical ICU.
Patients : Out of a total of 681 admissions to the surgical ICU during a one year period
(July 1, 1996 -June 30, 1997), 613 had complete medical data which were analysed.
Measurements and Main Results : The frequency distribution was skewed to the right.
The median and mode were the same (2 days). 35.89 per cent of the ICU admissions had a long
stay (>2 days). Independent risk factors for a long ICU stay in the multivariate logistic regression
analysis are increasing age, unstable condition, long weaning time, diuretic therapy and re-operation.
Conclusion : Knowing the length of ICU stay, risk factors for a long ICU stay and how to
shorten the ICU stay have potential application in optimizing ICU resource planning and decreasing
the health care cost.
Key word : Length of Stay, Intensive Care Unit, Surgical, ICU, Risk Factor
KAROON TECHAPICHETVANICH, M.D.*,
Objective : To assess length of stay of patients in the surgical intensive care unit (ICU)
and to determine risk factors for a long ICU stay.
Design : Review of retrospective data.
Setting : University hospital surgical ICU.
Patients : Out of a total of 681 admissions to the surgical ICU during a one year period
(July 1, 1996 -June 30, 1997), 613 had complete medical data which were analysed.
Measurements and Main Results : The frequency distribution was skewed to the right.
The median and mode were the same (2 days). 35.89 per cent of the ICU admissions had a long
stay (>2 days). Independent risk factors for a long ICU stay in the multivariate logistic regression
analysis are increasing age, unstable condition, long weaning time, diuretic therapy and re-operation.
Conclusion : Knowing the length of ICU stay, risk factors for a long ICU stay and how to
shorten the ICU stay have potential application in optimizing ICU resource planning and decreasing
the health care cost.
Key word : Length of Stay, Intensive Care Unit, Surgical, ICU, Risk Factor
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