987b
Meta-analysis of Efficacy Outcomes for Treatment-naïve and Treatment-experienced HIV-infected Women in Randomized Controlled Clinical Trials: 2000 to 2008
Kimberly Struble*, G Soon, M Min, K Chan-Tack, J Murray, and D Birnkrant
Ctr for Drug Evaluation and Res, US Food and Drug Admin, Silver Spring, MD
Background: Delineating potential gender differences in
response to ART is important to HIV clinical care, research, and drug
development. Cumulative data and analyses from HIV randomized clinical trials
(RCT) could provide clinical, scientific, and regulatory benefits.
Methods: From 2000 to 2008, datasets for
registrational HIV RCT were evaluated for any gender differences in week 48
efficacy outcomes, defined as HIV RNA <400 copies/mL and differences in
treatment effect size. Studies were stratified by treatment-naïve (TN) or
treatment-experienced (TE) patient populations. Efficacy analyses by ARV class
were also performed for NRTI, NNRTI, PI, fusion inhibitors (FI), and CCR5
inhibitors (CCR5).
Results: The combined database had 17,826 HIV-infected
subjects in 38 RCT for 14 ARV. There were no clinically or statistically
significant gender differences in week 48 efficacy outcomes (assuming mean
effect size difference between males and females were equal, the estimated 95%
confidence interval (CI) of equal mean effect size difference: –0.07, 0.09).
For TN patients, the estimated 95%CI of equal mean effect size difference
between males and females included zero (95%CI –0.1 to 0.09). For TE patients,
the estimated 95%CI also included zero (95%CI –0.095 to 0.16). For all ARV
classes analyzed, the estimated 95%CI included zero (NRTI, 95%CI –0.15 to 0.11;
NNRTI, 95%CI –0.29 to 0.35; PI, 95%CI –0.08 to 0.13; FI, 95%CI –0.50 to 0.37;
CCR5, 95%CI –0.46 to 0.50).
Conclusions: Preliminary analyses of the FDA database are
the most detailed review of gender-related ARV efficacy data so far. These
analyses suggest no clinically or statistically significant gender differences
in week-48 efficacy outcomes, regardless of treatment history, or drug class.
Such data could help healthcare providers and HIV-1-infected patients when
considering different ARV regimens. From scientific and regulatory
perspectives, the cumulative data could help identify issues requiring
additional investigation.
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