Prognostic model for HIV-1 disease progression in patients starting antiretroviral therapy was validated using independent data

J Clin Epidemiol. 2005 Oct;58(10):1033-41. doi: 10.1016/j.jclinepi.2005.02.015.

Abstract

Setting and objective: The Antiretroviral Therapy (ART) Cohort Collaboration published models predicting progression to AIDS or death (the complement of AIDS-free survival) and death (the complement of absolute survival). The objective is to validate the model on independent data from CASCADE.

Study design: Discrimination was assessed using concordance statistics, and calibration was examined by comparing predicted survival curves with the corresponding Kaplan-Meier estimates. Accuracy was assessed by comparing predicted percentage probability of survival with the Kaplan-Meier estimate at yearly intervals after start of therapy.

Results: There was little loss of model discrimination when applying the model to CASCADE. Overall predicted calibration curves agreed with Kaplan-Meier survival curves. Predicted probabilities of AIDS or death at 3 years after starting HAART ranged from 4.3% in the low-risk group to 20.5% in high-risk patients, with corresponding Kaplan-Meier estimates ranging from 4.0% to 18.3%; for death predictions, the probabilities ranged from 1.2% to 7.3% and estimates from 1.1% to 8.6%.

Conclusion: The predictions from the model agree with observed outcomes in CASCADE to within the 95% upper and lower Kaplan-Meier estimates. The prognostic model appears to be accurate in terms of discrimination and calibration, giving reliable and transportable predictions up to 3 years after the start of HAART.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adult
  • Antiretroviral Therapy, Highly Active*
  • CD4 Lymphocyte Count
  • Disease Progression
  • Female
  • HIV Infections / drug therapy*
  • HIV Infections / immunology
  • HIV Infections / virology
  • HIV-1 / isolation & purification*
  • Humans
  • Male
  • Middle Aged
  • Models, Statistical
  • Prognosis
  • RNA, Viral / blood
  • Risk Factors
  • Survival Analysis
  • Treatment Outcome
  • Viral Load

Substances

  • RNA, Viral