Automating and simplifying the SOFA score in critically ill patients with cancer

Health Informatics J. 2010 Mar;16(1):35-47. doi: 10.1177/1460458209353558.

Abstract

The aim was to demonstrate the performance of a modified version of the Sequential Organ Failure Assessment (SOFA) score to predict mortality in medical and surgical patients with cancer. We performed an electronic retrospective review of databases. We included adult patients with cancer admitted into a 53-bed ICU over 28 months. We electronically calculated a modified SOFA (mSOFA) score at admission. A majority of the patients were admitted into the surgical ICU. Of 328 nonsurvivors, 85.1 per cent were medical patients and only 14.9 per cent surgical patients. The mean admission mSOFA scores for medical and surgical patients were 4.7 +/- 3.2 and 1.7 +/- 1.9, respectively. The overall area under the curve (AUC) of the mSOFA score was 0.84. The AUCs for medical and surgical patients were 0.72 and 0.78, respectively. Our results demonstrate that electronic assessment of mSOFA score has potential in resource allocation decisions as well as in critical care outreach programs.

MeSH terms

  • Adult
  • Algorithms
  • Area Under Curve
  • Critical Illness / classification*
  • Electronic Data Processing*
  • Female
  • Humans
  • Intensive Care Units
  • Male
  • Middle Aged
  • Multiple Organ Failure / diagnosis*
  • Multiple Organ Failure / surgery
  • Neoplasms / classification*
  • Neoplasms / mortality*
  • Prognosis
  • Retrospective Studies
  • Severity of Illness Index*
  • Software