Zhao Zhao-Liang, Chen Ling, Zhang Hong
Tuberculosis Division of Respiratory and Critical Care Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563003, People's Republic of China.
Z-BioMed, Inc., Rockville, MD 20855, USA.
Infect Drug Resist. 2020 May 8;13:1351-1355. doi: 10.2147/IDR.S245219. eCollection 2020.
The Xpert MTB/RIF (Xpert) assay recommended by the World Health Organization (WHO) can be used to simultaneously detect complex (MTBC) and rifampicin (RIF) resistance associated mutations. However, if Xpert testing results are negative for RIF resistance because mutations outside the RIF resistance-determining region (RRDR) are not detectable by the assay, patients with RIF-resistant/multidrug-resistant tuberculosis (RR/MDR-TB) will be treated inappropriately for several weeks prior to obtaining the drug susceptibility testing (DST) results. Here, we report a rare case of TB in Guizhou Province of China that was identified as RIF-susceptible by the Xpert MTB/RIF assay, but later was confirmed as MDR-TB by DST, and its successful treatment with effective second-line anti-TB drugs. We detected a rare mutation (Ile572Phe) in clinical samples of this patient, highlighting the importance of using other methods such as PCR and sequencing to complement the Xpert MTB/RIF assay for the routine diagnosis of RR/MDR-TB because of the limited scope of the assay. These complementary methods allow for the detection of rare mutations outside the RRDR and can be beneficial when used in geographical locations where such mutations are frequently reported. However, these methods may not be feasible for resource-limited settings.
世界卫生组织(WHO)推荐的Xpert MTB/RIF检测可用于同时检测结核分枝杆菌复合群(MTBC)和利福平(RIF)耐药相关突变。然而,如果Xpert检测结果显示利福平耐药为阴性,由于该检测无法检测到利福平耐药决定区(RRDR)以外的突变,耐利福平/耐多药结核病(RR/MDR-TB)患者在获得药敏试验(DST)结果之前的数周内将接受不恰当的治疗。在此,我们报告中国贵州省一例罕见的结核病病例,该病例经Xpert MTB/RIF检测显示对利福平敏感,但随后经DST确诊为耐多药结核病,并通过有效的二线抗结核药物成功治愈。我们在该患者的临床样本中检测到一种罕见突变(Ile572Phe),这凸显了由于该检测范围有限,在RR/MDR-TB的常规诊断中使用其他方法(如PCR和测序)来补充Xpert MTB/RIF检测的重要性。这些补充方法能够检测RRDR以外的罕见突变,在经常报告此类突变的地理位置使用时可能会有帮助。然而,这些方法在资源有限的环境中可能不可行。