Preadmission quality of life can predict mortality in intensive care unit--a prospective cohort study

J Crit Care. 2014 Dec;29(6):942-7. doi: 10.1016/j.jcrc.2014.06.009. Epub 2014 Jun 17.

Abstract

Purpose: 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).

Materials and 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.

Keywords: Health surveys; Intensive care units; Mortality; Quality of life.

Publication types

  • Observational Study

MeSH terms

  • APACHE
  • Aged
  • Aged, 80 and over
  • Alcohol Drinking / epidemiology
  • Area Under Curve
  • Cohort Studies
  • Confidence Intervals
  • Critical Care*
  • Critical Illness
  • Decision Making
  • Female
  • Health Status*
  • Hospital Mortality*
  • Humans
  • Intensive Care Units
  • Length of Stay
  • Male
  • Middle Aged
  • Patient Admission
  • Prospective Studies
  • Quality of Life*
  • Surveys and Questionnaires
  • Survivors / statistics & numerical data*
  • Young Adult