Wadsworth Center, New York State Department of Health, Albany, NY, USA.
New York City Bureau of Tuberculosis Control, New York City, NY, USA.
Tuberculosis (Edinb). 2023 Sep;142:102380. doi: 10.1016/j.tube.2023.102380. Epub 2023 Jul 22.
Whole-genome sequencing (WGS) can predict drug resistance and antimicrobial susceptibility in Mycobacterium tuberculosis complex (MTBC) and has shown promise in partially replacing culture-based phenotypic drug susceptibility testing (pDST). We performed a two-year side by side study comparing the prediction of drug resistance and antimicrobial susceptibility by WGS molecular DST (mDST) to pDST to determine resistance at the critical concentration by Mycobacterial Growth Indicator Tube (MGIT) and agar proportion testing. Negative predictive values of WGS results were consistently high for the first-line drugs: rifampin (99.9%), isoniazid (99.0%), pyrazinamide (98.5%), and ethambutol (99.8%); the rates of resistance to these drugs, among strains in our population, are 2.9%, 10.4%, 46.3%, and 2.3%, respectively. WGS results were available an average 8 days earlier than first-line MGIT pDST. Based on these findings, we implemented a new testing algorithm with an updated WGS workflow in which strains predicted pan-susceptible were no longer tested by pDST. This algorithm was applied to 1177 isolates between October 2018 and September 2020, eliminating pDST for 66.6% of samples and reducing pDST for an additional 22.0%. This algorithm change resulted in faster turnaround times and decreased cost while maintaining comprehensive antimicrobial susceptibility profiles of all culture-positive MTBC cases in New York.
全基因组测序(WGS)可预测结核分枝杆菌复合群(MTBC)中的药物耐药性和抗菌药物敏感性,并且已显示出在部分替代基于培养的表型药敏试验(pDST)方面具有潜力。我们进行了一项为期两年的平行研究,比较了 WGS 分子 DST(mDST)对 pDST 的药物耐药性和抗菌药物敏感性预测,以确定分枝杆菌生长指示剂管(MGIT)和琼脂比例检测中的临界浓度的耐药性。WGS 结果对于一线药物的阴性预测值始终很高:利福平(99.9%)、异烟肼(99.0%)、吡嗪酰胺(98.5%)和乙胺丁醇(99.8%);在我们人群中的菌株中,这些药物的耐药率分别为 2.9%、10.4%、46.3%和 2.3%。WGS 结果比一线 MGIT pDST 平均提前 8 天获得。基于这些发现,我们实施了一种新的测试算法,该算法更新了 WGS 工作流程,其中预测为全敏感的菌株不再进行 pDST 测试。该算法于 2018 年 10 月至 2020 年 9 月期间应用于 1177 株分离株,消除了 66.6%的样本的 pDST,另外减少了 22.0%的 pDST。这种算法改变导致周转时间更快,成本降低,同时保持了纽约所有培养阳性 MTBC 病例的全面抗菌药物敏感性谱。