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艾滋病住院患者的自动严重程度分类。

Automated severity classification of AIDS hospitalizations.

作者信息

Stitt F W, Lu Y, Dickinson G M, Klimas N G

机构信息

Department of Epidemiology and Public Health, University of Miami, School of Medicine, Florida 33101.

出版信息

Med Decis Making. 1991 Oct-Dec;11(4 Suppl):S41-5.

PMID:1770846
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.

摘要

为验证一种艾滋病病情严重程度的自动预后算法,将2113份HIV感染患者的出院小结与面向问题的医学概要(POMS)及HIV风险登记册进行了合并。一种基于医学的分类和分期算法与多变量统计技术相结合,用于自动进行疾病严重程度分期和预后评估。该模型正确预测了所有病例出院时82%的结局(死亡、存活)以及66%的死亡情况。

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