Combinations of early signs of critical illness predict in-hospital death-the SOCCER study (signs of critical conditions and emergency responses)

Resuscitation. 2006 Dec;71(3):327-34. doi: 10.1016/j.resuscitation.2006.05.008. Epub 2006 Oct 27.

Abstract

Background: Medical emergency team (MET) call criteria are late signs of a deteriorating clinical condition. Some early signs predict in-hospital death but have a high prevalence so their use as single sign call criteria could be wasteful of resources. This study searched a large database to explore the association of combinations of recordings of early signs (ES), or early with late signs (LS) with in-hospital death.

Methods: A cross-sectional survey was undertaken of 3046 non-do not attempt resuscitation adult admissions in 5 hospitals without MET over 14 days. The medical records were reviewed for recordings of 26 ES and 21 LS and in-hospital death. Combinations of ES with or without LS were examined as predictors of death. Global modified early warning scores (GMEWS) were calculated.

Findings: ES with LS, plus LS only, had higher odd ratios than ES alone. Four combinations of ES were strongly associated with death: cardiovascular plus respiratory with decrease in urinary output, cardiovascular plus respiratory with a decrease in consciousness, respiratory with decrease in urinary output, and cardiovascular plus respiratory. In other combinations, recordings of SpO2 90-95%, systolic blood pressure 80-100 mmHg or decrease in urinary output in turn occurring with one or more disturbed blood gas variable were associated with death. Compared with admissions whose GMEWS were 0-2, admissions with GMEWS 5-15 were 27.1 times more likely to die while those with GMEWS 3-4 were 6.5 times more likely.

Conclusions: The results support the inclusion of early signs of a deteriorating clinical condition in sets of call criteria.

Publication types

  • Comparative Study
  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Critical Care / organization & administration
  • Critical Care / statistics & numerical data*
  • Critical Illness / mortality*
  • Critical Pathways / organization & administration*
  • Cross-Sectional Studies
  • Emergency Medical Services / organization & administration
  • Emergency Medical Services / statistics & numerical data*
  • Health Care Surveys
  • Hospital Mortality / trends*
  • Humans
  • Medical Records / statistics & numerical data
  • New South Wales
  • Odds Ratio
  • Patient Admission / statistics & numerical data
  • Retrospective Studies
  • Severity of Illness Index*
  • Time Factors