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Automated severity classification of AIDS hospitalizations
F W Stitt1, Y Lu, G M Dickinson
1Department of Epidemiology and Public Health, University of Miami, School of Medicine, Florida 33101.
Abstract:
To validate an automated AIDS severity-of-illness prognostic algorithm, 2,113 discharge summaries of HIV-infected patients were merged with the Problem-Oriented Medical Synopsis (POMS) and an HIV risk registry. The combination of a medically derived classification and staging algorithm with multivariate statistical techniques was used for automated severity-of-illness disease staging and prognostic assignment. The model correctly predicted the outcomes of 82% of all cases (death, survivorship) at discharge, and 66% of deaths.