Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
J Clin Microbiol. 2012 Feb;50(2):428-34. doi: 10.1128/JCM.05435-11. Epub 2011 Nov 16.
Pyrazinamide is important in the treatment of tuberculosis. Unfortunately, the diagnosis of pyrazinamide resistance is hampered by technical difficulties. We hypothesized that mutation analysis combined with the mycobacterial growth indicator tube (MGIT) phenotypic method would be a good predictor of pyrazinamide resistance. We prospectively analyzed 1,650 M. tuberculosis isolates referred to our tuberculosis reference laboratory in 2008 and 2009. In our laboratory, the MGIT 960 system was used for pyrazinamide resistance screening. If a pyrazinamide-resistant strain was detected, we performed a pncA gene mutation analysis. A second MGIT 960 susceptibility assay was performed afterwards to evaluate the accuracy of the pncA mutation analysis to detect true- or false-positive MGIT results. We observed pyrazinamide resistance in 69 samples using the first MGIT 960 analysis. In a second MGIT 960 analysis, 47 of the 69 samples proved susceptible (68% false positivity). Sensitivity of nonsynonymous pncA mutations for detecting resistant isolates was 73% (95% confidence interval [CI], 61% to 73%), and specificity was 100% (95% CI, 95% to 100%). A diagnostic algorithm incorporating phenotypic and molecular methods would have a 100% positive predictive value for detecting pyrazinamide-resistant isolates, indicating that such an algorithm, based on both methods, is a good predictor for pyrazinamide resistance in routine diagnostics.
吡嗪酰胺在结核病治疗中很重要。不幸的是,由于技术上的困难,吡嗪酰胺耐药的诊断受到阻碍。我们假设突变分析结合分枝杆菌生长指示剂管(MGIT)表型方法将是预测吡嗪酰胺耐药的良好指标。我们前瞻性地分析了 2008 年和 2009 年我们结核病参考实验室转来的 1650 株结核分枝杆菌分离株。在我们的实验室中,MGIT 960 系统用于吡嗪酰胺耐药筛选。如果检测到耐吡嗪酰胺的菌株,我们进行 pncA 基因突变分析。随后进行第二次 MGIT 960 药敏试验,以评估 pncA 基因突变分析检测真正或假阳性 MGIT 结果的准确性。我们使用第一次 MGIT 960 分析观察到 69 个样本中存在吡嗪酰胺耐药。在第二次 MGIT 960 分析中,69 个样本中的 47 个样本(68%的假阳性)被证明是敏感的。非同义 pncA 突变检测耐药分离株的敏感性为 73%(95%可信区间[CI],61%至 73%),特异性为 100%(95%CI,95%至 100%)。纳入表型和分子方法的诊断算法对检测耐吡嗪酰胺分离株的阳性预测值为 100%,这表明这种基于两种方法的算法是常规诊断中预测吡嗪酰胺耐药的良好指标。