Wang Kai, Samudrala Ram, Mittler John E
Department of Microbiology, University of Washington, Wash., USA.
Antivir Ther. 2004 Oct;9(5):703-12.
The Antivirogram and PhenoSense assays are widely used phenotypic tests for HIV drug resistance. There are limited data on the reproducibility of each assay, and little is known about the correlation between the two. Using data from the Stanford HIV drug resistance database, we performed a comprehensive analysis of the reproducibility of each assay, and calculated the correlation and concordance of the two assays using both general IC50 fold change cutoff values and drug-specific cutoff values. Although the within-assay correlations were high (rank correlation coefficients r=0.94 and r=0.95 for the Antivirogram and PhenoSense assays, respectively), the between-assay correlation was considerably lower (r=0.36). Using drug-specific cutoff values for viruses classified as resistant by the Antivirogram or PhenoSense assays, respectively, only 71.4% [95% confidence intervals (95% CI): 58.7-82.1%] and 57.0% (95% CI: 45.3-68.1%) of the samples were classified as resistant using the other assay. The poor agreement between the assays was primarily due to the extremely poor correlation between these assays for samples with low resistance values (r=0.02 and r=0.61 for samples with the Antivirogram measurements lower or higher than 2.0, respectively). Since the cutoff values for both assays are relatively low, our analysis suggests that one should be very careful when interpreting measurements that are near the cutoff values for drug resistance.
抗病毒谱检测和表型敏感性检测是广泛用于检测HIV耐药性的表型检测方法。关于每种检测方法的可重复性的数据有限,且对两者之间的相关性了解甚少。利用斯坦福HIV耐药数据库的数据,我们对每种检测方法的可重复性进行了全面分析,并使用一般的IC50倍变化临界值和药物特异性临界值计算了两种检测方法之间的相关性和一致性。尽管检测内部的相关性很高(抗病毒谱检测和表型敏感性检测的等级相关系数r分别为0.94和0.95),但检测之间的相关性要低得多(r = 0.36)。分别使用抗病毒谱检测或表型敏感性检测分类为耐药的病毒的药物特异性临界值,只有71.4%[95%置信区间(95%CI):58.7 - 82.1%]和57.0%(95%CI:45.3 - 68.1%)的样本使用另一种检测方法被分类为耐药。两种检测方法之间一致性较差主要是由于对于耐药值较低的样本,这些检测方法之间的相关性极差(抗病毒谱检测测量值低于或高于2.0的样本的r分别为0.02和0.61)。由于两种检测方法的临界值都相对较低,我们的分析表明,在解释接近耐药临界值的测量结果时应非常谨慎。