A simple clinical staging system that predicts progression to AIDS using CD4 count, oral thrush, and night sweats

Linda Rabeneck, Martin M. Crane, Jan M.H. Risser, Chris E. Lacke, Nelda Wray

Research output: Contribution to journalArticlepeer-review

41 Scopus citations


Objective: To develop a simple clinical staging system based on CD4 count and clinical variables that predicts progression to AIDS in HIV-infected non-AIDS patients. Design: Retrospective cohort study. Setting: A primary care outpatient clinic for HIV-infected patients at a VA Medical Center. Patients: One hundred seventy-six HIV-infected non-AIDS patients seen at the Houston VA Special Medicine Clinic between January 1986 and December 1990 and followed for a mean of 22 months. Fifty-four patients (31%) progressed to AIDS during follow-up. Measurements: The medical records were reviewed, and data corresponding to the initial (baseline) clinic visit and subsequent sixmonth visits were extracted. Main results: "Predictive" baseline variables (i.e., those associated with progression to AIDS) were first identified and then examined in Cox proportional hazards modeling. In the final model, CD4 category, oral thrush, and night sweats made significant independent contributions. A three-stage prognostic system was constructed by assigning points to the three variables: CD4>500 cells/mm 3=0; 500≥CD4≥200=1; CD4<200=2; presence of oral thrush=1; presence of night sweats=1. Stages were assigned as follows: stage I=0 points, stage II=1-2 points, and stage III=3-4 points. The proportions of patients who progressed to AIDS were: stage I, 6/39 (15%); stage II, 31/106 (29%); and stage III, 17/31 (55%). Conclusion: These results demonstrate that simple, clinically sensible prognostic staging systems that predict progression to AIDS can be constructed using CD4 count and clinical variables.

Original languageEnglish (US)
Pages (from-to)5-9
Number of pages5
JournalJournal of General Internal Medicine
Issue number1
StatePublished - Jan 1993


  • AIDS
  • CD4 count
  • HIV infection
  • prediction
  • prognosis
  • staging system

ASJC Scopus subject areas

  • Internal Medicine


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