title: Preadmission quality of life can predict mortality in intensive care unit--a prospective cohort study.
abstract: OBJECTIVE
  We sought to investigate whether preadmission quality of life could act as a predictor of mortality among patients admitted to the intensive care unit (ICU).
  
  
  METHODS
  This is a prospective observational study of all patients above the age of 18 years admitted to the ICU with a length of stay longer than 24 hours. Short form 36 (SF-36) and Acute Physiology and Chronic Health Evaluation II (APACHE II) were used. Mortality was assessed during ICU admission, 30, and 90 days hereafter.
  
  
  RESULTS
  We included 318 patients. No patients were lost to follow-up. Using the physical component summary of short form 12 (SF-12) as a predictor of ICU mortality, the area under the curve (0.70; confidence interval, 0.62-0.77) was comparable with that of APACHE II (0.74; confidence interval, 0.67-0.82). The difference between SF-12 and SF-36 was nonsignificant.
  
  
  CONCLUSIONS
  Preadmission quality of life, assessed by SF-36 and SF-12, is as good at predicting ICU, 30-, and 90-day mortality as APACHE II in patients admitted to the ICU for longer than 24 hours. This indicates that estimated preadmission quality of life, potentially available in the pre-ICU setting, could aid decision making regarding ICU admission and deserves more attention by those caring for critically ill patients.
authors: Herlev University Hospital, Department of Anesthesiology I, Herlev Ringvej 75, 2730 Herlev, Denmark. Electronic address: raminbukan@gmail.com.
authors: Ramin I
authors: RI
authors: Bukan
authors: Herlev University Hospital, Department of Anesthesiology I, Herlev Ringvej 75, 2730 Herlev, Denmark. Electronic address: Ann.Moeller@regionh.dk.
authors: Ann M
authors: AM
authors: Møller
authors: Herlev University Hospital, Department of Anesthesiology I, Herlev Ringvej 75, 2730 Herlev, Denmark. Electronic address: bvm646@alumni.ku.dk.
authors: Mattias A S
authors: MA
authors: Henning
authors: University of Copenhagen, Faculty of Health and Medical Science, Blegdamsvej 3B, 2200 Copenhagen N, Denmark. Electronic address: katrinekbm@gmail.com.
authors: Katrine B
authors: KB
authors: Mortensen
authors: Herlev University Hospital, Clinical Research Department of Hematology, Herlev Ringvej 75, 2730 Herlev, Denmark. Electronic address: Tobias.Wirenfeldt.Klausen@regionh.dk.
authors: Tobias W
authors: TW
authors: Klausen
authors: Herlev University Hospital, Department of Anesthesiology I, Herlev Ringvej 75, 2730 Herlev, Denmark. Electronic address: Tina.Waldau@regionh.dk.
authors: Tina
authors: T
authors: Waldau
mesh_terms: D018806:APACHE; D000368:Aged; D000369:Aged, 80 and over; D000428:Alcohol Drinking / Q000453:epidemiology; D019540:Area Under Curve; D015331:Cohort Studies; D016001:Confidence Intervals; D003422:Critical Care; D016638:Critical Illness; D003657:Decision Making; D005260:Female; D006304:Health Status; D017052:Hospital Mortality; D006801:Humans; D007362:Intensive Care Units; D007902:Length of Stay; D008297:Male; D008875:Middle Aged; D010343:Patient Admission; D011446:Prospective Studies; D011788:Quality of Life; D011795:Surveys and Questionnaires; D017741:Survivors / Q000706:statistics & numerical data*; D055815:Young Adult
keywords: Health surveys; Intensive care units; Mortality; Quality of life