Department of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Department of Microbiology, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Eur J Clin Microbiol Infect Dis. 2018 Jan;37(1):9-14. doi: 10.1007/s10096-017-3079-4. Epub 2017 Aug 19.
In Iran, patients showing rifampicin (RIF) resistance detected by the Xpert® MTB/RIF assay are considered as candidates for multidrug-resistant tuberculosis (MDR-TB) treatment. Despite the fact that RIF resistance has been used as a proxy for MDR-TB, little is known about the proportion of isoniazid (INH) resistance patterns in RIF-resistant TB. We systematically searched MEDLINE, Embase, and other databases up to March 2017 for studies addressing the proportion of INH resistance patterns in RIF-resistant TB in Iran. The data were pooled using a random effects model. Heterogeneity was assessed using Cochran's Q and I statistics. A total of 11 articles met the eligibility criteria. Data analysis demonstrated that 33.3% of RIF-resistant isolates from new TB cases and 14.8% of RIF-resistant isolates from previously treated cases did not display resistance to INH. The relatively high proportion of INH susceptibility among isolates with RIF resistance indicated that RIF resistance may no longer predict MDR-TB in Iran. Therefore, the detection of RIF resistance by the Xpert MTB/RIF assay will require complementary detection of INH resistance by other drug susceptibility testing (DST) methods in order to establish the diagnosis of MDR-TB.
在伊朗,通过 Xpert® MTB/RIF 检测发现对利福平(RIF)耐药的患者被认为是耐多药结核病(MDR-TB)治疗的候选者。尽管 RIF 耐药已被用作 MDR-TB 的替代指标,但对于 RIF 耐药性结核中的异烟肼(INH)耐药模式的比例知之甚少。我们系统地检索了 MEDLINE、Embase 和其他数据库,以获取截至 2017 年 3 月关于伊朗 RIF 耐药性结核中 INH 耐药模式比例的研究。使用随机效应模型对数据进行汇总。使用 Cochran's Q 和 I 统计量评估异质性。共有 11 篇文章符合入选标准。数据分析表明,新发结核病病例中 33.3%的 RIF 耐药分离株和既往治疗病例中 14.8%的 RIF 耐药分离株对 INH 无耐药性。在 RIF 耐药分离株中 INH 敏感性的比例相对较高表明,RIF 耐药性可能不再预测伊朗的 MDR-TB。因此,Xpert MTB/RIF 检测发现 RIF 耐药性需要通过其他药物敏感性检测(DST)方法互补检测 INH 耐药性,以建立 MDR-TB 的诊断。