Clinical trials using HIV-1 RNA-based primary endpoints: statistical analysis and potential biases

Ian C. Marschner, Rebecca A. Betensky, Victor DeGruttola*, Scott M. Hammer, Daniel R. Kuritzkes

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

53 Citations (Scopus)

Abstract

Clinical trial endpoints based on magnitude of reduction in HIV-1 RNA levels provide an important complement to endpoints based on percentage of patients achieving complete virologic suppression. However, interpretation of magnitude of reduction can he biased by measurement limitations of virologic assays, particularly lower and upper limits of quantification. Using data from two AIDS Clinical Trials Group (ACTG) studies, widely used crude methods of analyzing HIV-1 RNA reductions were compared with methods that take into account censoring of HIV-1 RNA measurements. Such methods include Kaplan- Meier and censored regression analyses. It was found that standard crude methods of analysis consistently underestimated treatment effects. In some cases, the bias induced by crude methods masked statistically significant differences between treatment arms. Although statistically significant, adjustment for baseline HIV-1 RNA levels had little effect on estimated treatment differences. Furthermore, convenient parametric analyses performed as well as more complex nonparametric analyses. It is concluded that conveniently implemented censored data analyses should be conducted in preference to widely used crude analyses of magnitude of HIV-1 RNA reduction. To obtain complete information about virologic response to antiretroviral therapy, such analyses of magnitude of virologic response should be used to complement analyses of the percentage of patients having complete virologic suppression.

Original languageEnglish
Pages (from-to)220-227
Number of pages8
JournalJournal of Acquired Immune Deficiency Syndromes and Human Retrovirology
Volume20
Issue number3
Publication statusPublished - 1 Mar 1999
Externally publishedYes

Keywords

  • Antiretroviral therapy
  • Censoring
  • HIV-1 RNA levels
  • Limit of quantification

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