Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany.
German Center for Infection Research (DZIF), Partner site Hamburg-Lübeck-Borstel, Borstel, Germany.
Antimicrob Agents Chemother. 2018 Jan 25;62(2). doi: 10.1128/AAC.01550-17. Print 2018 Feb.
Rapid and accurate drug susceptibility testing (DST) is essential for the treatment of multi- and extensively drug-resistant tuberculosis (M/XDR-TB). We compared the utility of genotypic DST assays with phenotypic DST (pDST) using Bactec 960 MGIT or Löwenstein-Jensen to construct M/XDR-TB treatment regimens for a cohort of 25 consecutive M/XDR-TB patients and 15 possible anti-TB drugs. Genotypic DST results from Cepheid GeneXpert MTB/RIF (Xpert) and line probe assays (LPAs; Hain GenoType MTBDR 2.0 and MTBDR 2.0) and whole-genome sequencing (WGS) were translated into individual algorithm-derived treatment regimens for each patient. We further analyzed if discrepancies between the various methods were due to flaws in the genotypic or phenotypic test using MIC results. Compared with pDST, the average agreement in the number of drugs prescribed in genotypic regimens ranged from just 49% (95% confidence interval [CI], 39 to 59%) for Xpert and 63% (95% CI, 56 to 70%) for LPAs to 93% (95% CI, 88 to 98%) for WGS. Only the WGS regimens did not contain any drugs to which pDST showed resistance. Importantly, MIC testing revealed that pDST likely underestimated the true rate of resistance for key drugs (rifampin, levofloxacin, moxifloxacin, and kanamycin) because critical concentrations (CCs) were too high. WGS can be used to rule in resistance even in M/XDR strains with complex resistance patterns, but pDST for some drugs is still needed to confirm susceptibility and construct the final regimens. Some CCs for pDST need to be reexamined to avoid systematic false-susceptible results in low-level resistant isolates.
快速准确的药敏试验(DST)对于治疗耐多药和广泛耐药结核病(M/XDR-TB)至关重要。我们比较了基因 DST 检测与表型 DST(pDST)在使用 Bactec 960 MGIT 或 Löwenstein-Jensen 检测的情况下的效果,以构建 25 例连续 M/XDR-TB 患者和 15 种可能的抗结核药物的 M/XDR-TB 治疗方案。基因 DST 结果来自 Cepheid GeneXpert MTB/RIF(Xpert)和线探针分析(LPA;Hain GenoType MTBDR 2.0 和 MTBDR 2.0)以及全基因组测序(WGS),并将其转化为每位患者的个体化算法衍生的治疗方案。我们进一步分析了各种方法之间的差异是否是由于基因或表型检测中的缺陷导致的,方法是使用 MIC 结果。与 pDST 相比,在基因方案中开具的药物数量方面,平均一致性从 Xpert 的 49%(95%置信区间 [CI],39 至 59%)到 LPA 的 63%(95% CI,56 至 70%)不等,WGS 则高达 93%(95% CI,88 至 98%)。只有 WGS 方案中没有包含任何对 pDST 显示耐药的药物。重要的是,MIC 检测表明,由于临界浓度(CCs)过高,pDST 可能低估了关键药物(利福平、左氧氟沙星、莫西沙星和卡那霉素)的真实耐药率。WGS 可用于检测耐药,即使是在耐药模式复杂的 M/XDR 菌株中,但仍需要 pDST 来确认敏感性并构建最终方案。一些用于 pDST 的 CCs 需要重新检查,以避免在低水平耐药分离物中出现系统的假敏感结果。