Automated severity classification of AIDS hospitalizations.
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.
Stitt
F W
FW
Department of Epidemiology and Public Health, University of Miami, School of Medicine, Florida 33101.
Lu
Y
Y
Dickinson
G M
GM
Klimas
N G
NG
D000465:Algorithms; D003658:Decision Making, Computer-Assisted; D005431:Florida / Q000453:epidemiology; D015658:HIV Infections / Q000145:classification / Q000150:complications / Q000401:mortality*; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D007902:Length of Stay / Q000706:statistics & numerical data; D008501:Medical Records, Problem-Oriented / Q000706:statistics & numerical data; D015999:Multivariate Analysis; D010351:Patient Discharge / Q000706:statistics & numerical data; D011379:Prognosis; D012042:Registries; D015203:Reproducibility of Results; D012307:Risk Factors; D012720:Severity of Illness Index; D016019:Survival Analysis