title: A prospective study of prolonged stay in the intensive care unit: predictors and impact on resource utilization.
abstract: OBJECTIVE
  To evaluate the predictors of prolonged Intensive Care Unit (ICU) stay and the impact on resource utilization.
  
  
  METHODS
  Prospective study.
  
  
  METHODS
  Adult medical/surgical ICU in a tertiary-care teaching hospital.
  
  
  METHODS
  All admissions to the ICU (numbering 947) over a 20-month period were enrolled. Data on demographic and clinical profile, length of stay, and outcome were collected prospectively. The ICU length of stay and mechanical ventilation days were used as surrogate parameters for resource utilization. Potential predictors were analyzed for possible association with prolonged ICU stay (length of stay > 14 days).
  
  
  RESULTS
  Patients with prolonged ICU stay formed only 11% of patients, but utilized 45.1% of ICU days and 55.5% of mechanical ventilation days. Non-elective admissions, readmissions, respiratory or trauma-related reasons for admission, and first 24-hour evidence of infection, oliguria, coagulopathy, and the need for mechanical ventilation or vasopressor therapy had significant association with prolonged ICU stay. Mean APACHE II and SAPS II were slightly higher in patients with prolonged stay. ICU outcome was comparable to patients with < or = 14 days ICU stay.
  
  
  CONCLUSIONS
  Patients with prolonged ICU stay form a small proportion of ICU patients, yet they consume a significant share of the ICU resources. The outcome of this group of patients is comparable to that of shorter stay patients. The predictors identified in the study can be used in targeting this group to improve resource utilization and efficiency of ICU care.
authors.affiliation: Department of Intensive Care, King Fahad National Guard Hospital, Riyadh, Kingdom of Saudi Arabia. yaseenarabi@yahoo.com
authors.forename: Yaseen
authors.initials: Y
authors.lastname: Arabi
authors.forename: S
authors.initials: S
authors.lastname: Venkatesh
authors.forename: Samir
authors.initials: S
authors.lastname: Haddad
authors.forename: Abdullah
authors.initials: A
authors.lastname: Al Shimemeri
authors.forename: Salim
authors.initials: S
authors.lastname: Al Malik
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D005260:Female; D005544:Forecasting; D006302:Health Services Research; D006784:Hospitals, Teaching / Q000706:statistics & numerical data; D006801:Humans; D007362:Intensive Care Units / Q000706:statistics & numerical data*; D007902:Length of Stay / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D010359:Patient Readmission / Q000706:statistics & numerical data; D011446:Prospective Studies; D012121:Respiration, Artificial / Q000706:statistics & numerical data; D012529:Saudi Arabia; D012720:Severity of Illness Index; D014600:Utilization Review