Schapiro Jonathan M, Boucher Charles A B, Kuritzkes Daniel R, van de Vijver David A, Llibre Josep M, Lewis Marilyn, Simpson Paul, Delogne Christophe, McFadyen Lynn, Chapman Douglass, Perros Manos, Valdez Hernan, van der Ryst Elna, Westby Mike
National Hemophilia Center, Tel Hashomer, Israel.
Antivir Ther. 2011;16(3):395-404. doi: 10.3851/IMP1759.
Maraviroc-containing regimens are known to achieve virological suppression in many treatment-experienced patients. This study aimed to evaluate a more rigorous methodological approach to resistance-response analysis in large clinical studies and to better establish which subpopulations of patients were most likely to benefit from maraviroc by refining and extending previous subgroup analyses from the MOTIVATE studies.
Individual weighted optimized background therapy (OBT) susceptibility scores were calculated by combining genotypic or phenotypic resistance testing with prior drug use information. Virological response (HIV-1 RNA<50 copies/ml at week 48) using each of these methods was compared with a commonly used method of counting active drugs. Baseline predictors of virological response, including weighted or unweighted scoring, maraviroc use, baseline CD4(+) T-cell count, HIV-1 plasma viral load and tropism, were assessed by logistic regression modelling.
Genotypic or phenotypic weighted methods were similarly predictive of virological response and better than counting active drugs. Weighted scoring and baseline CD4(+) T-cell count were the strongest predictors of virological response (P<0.0001): ≈70% of maraviroc patients with a weighted score ≥2 had a virological response, rising to ≈80% when the baseline CD4(+) T-cell count was ≥50 cells/mm(3).
Approximately 80% of patients with a CD4(+) T-cell count ≥50 cells/mm(3) receiving maraviroc with the equivalent of at least two fully active agents achieved HIV-1 RNA<50 copies/ml at week 48 in the MOTIVATE studies. Genotypic and phenotypic weighted scores were similarly predictive of virological response.
含马拉维若的治疗方案已知可使许多经治患者实现病毒学抑制。本研究旨在评估在大型临床研究中进行耐药性反应分析的更严格方法,并通过完善和扩展来自MOTIVATE研究的既往亚组分析,更好地确定哪些患者亚群最有可能从马拉维若中获益。
通过将基因型或表型耐药性检测与既往用药信息相结合,计算个体加权优化背景治疗(OBT)敏感性评分。将使用这些方法中的每一种所获得的病毒学反应(第48周时HIV-1 RNA<50拷贝/毫升)与常用的计算活性药物数量的方法进行比较。通过逻辑回归模型评估病毒学反应的基线预测因素,包括加权或未加权评分、马拉维若的使用、基线CD4(+) T细胞计数、HIV-1血浆病毒载量和嗜性。
基因型或表型加权方法对病毒学反应的预测相似,且优于计算活性药物数量的方法。加权评分和基线CD4(+) T细胞计数是病毒学反应最强的预测因素(P<0.0001):加权评分≥2的马拉维若患者中约70%有病毒学反应,当基线CD4(+) T细胞计数≥50个细胞/立方毫米时,这一比例升至约80%。
在MOTIVATE研究中,第48周时,约80%接受马拉维若且相当于至少两种完全活性药物的CD4(+) T细胞计数≥50个细胞/立方毫米的患者实现了HIV-1 RNA<50拷贝/毫升。基因型和表型加权评分对病毒学反应的预测相似。