北京大学学报(医学版) ›› 2021, Vol. 53 ›› Issue (2): 320-326. doi: 10.19723/j.issn.1671-167X.2021.02.015

• 论著 • 上一篇    下一篇

Xpert®MTB/RIF对我国人群活动性肺结核和利福平耐药肺结核诊断准确性的meta分析

冯菁楠,高乐,孙一鑫,杨继春,邓思危,孙凤,詹思延()   

  1. 北京大学公共卫生学院流行病与卫生统计学系,北京 100191
  • 收稿日期:2019-01-18 出版日期:2021-04-18 发布日期:2021-04-21
  • 通讯作者: 詹思延 E-mail:siyan-zhan@bjmu.edu.cn

Accuracy of Xpert®MTB/RIF for the detection of tuberculosis and rifampicin-resistance tuberculosis in China: A systematic review and meta-analysis

FENG Jing-nan,GAO Le,SUN Yi-xin,YANG Ji-chun,DENG Si-wei,SUN Feng,ZHAN Si-yan()   

  1. Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
  • Received:2019-01-18 Online:2021-04-18 Published:2021-04-21
  • Contact: Si-yan ZHAN E-mail:siyan-zhan@bjmu.edu.cn

RICH HTML

  

摘要:

目的: 系统评价结核分枝杆菌/利福平耐药实时荧光定量核酸扩增检测方法(Xpert® Mycobacterium tuberculosis/rifampicin,Xpert ® MTB/RIF)对中国人群肺结核(活动性肺结核和利福平耐药肺结核)的诊断准确性。方法: 计算机检索SinoMed、CNKI、万方、维普、PubMed、Embase、The Cochrane Library数据库,搜集于中国人群中应用Xpert®MTB/RIF方法诊断的研究,检索时间限定为2000年1月1日—2017年9月15日。由2名研究者独立筛选文献、提取资料,使用诊断试验准确性研究的偏倚评估工具(Quality Assessment of Diagnostic Accuracy Studies,QUADAS)-2对纳入的研究进行质量评价。采用Stata 13.0软件进行meta分析,使用双变量随机效应模型合并灵敏度与特异度等诊断准确性指标,根据患者类型和样本类型进行亚组分析。结果: 最终共纳入47篇文献,其中英文9篇,中文38篇,发表时间为2014—2017年,样本量范围为31~3 151例,活动性肺结核共纳入40篇文献(42个比较组),合并灵敏度为0.94(95%CI:0.92,0.95),合并特异度为0.87(95%CI:0.84,0.91)。亚组分析显示,对于不同的样本类型,灵敏度无明显差异,但痰液样本的特异度高于支气管灌洗液样本。利福平耐药肺结核共纳入33篇文献(38个比较组),合并灵敏度为0.92(95%CI:0.89,0.94),特异度为0.98(95%CI:0.97,0.99)。Deeks法漏斗图显示,检测活动性肺结核方面可能存在发表偏倚(P=0.08),利福平耐药肺结核方面均不存在发表偏倚(P=0.24)。结论: 使用Xpert® MTB/RIF方法检测活动性肺结核和利福平耐药肺结核具有较好的灵敏度和特异度,在检测利福平耐药方面具有较好的临床诊断价值。

关键词: 肺结核, 抗多种药物性结核, Xpert® MTB/RIF, Meta分析

Abstract:

Objective: To systematically review the diagnostic accuracy of Xpert® Mycobacterium tuberculosis/rifampicin (Xpert® MTB/RIF) for the detection of active tuberculosis (TB) and rifampicin-resistance TB in Chinese patients. Methods: Four Chinese databases (SinoMed, CNKI, WanFang database, and VIP) and three English databases (PubMed, Embase, and The Cochrane Library) were searched from January 1, 2000 to September 15, 2017, to identify diagnostic tests about the accuracy of Xpert® MTB/RIF in Chinese patients. Two investigators screened the articles and extracted the information independently, and then the quality of each included study was evaluated by Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2. Bivariate random-effects meta-analysis was conducted to pool the sensitivity and specificity. In addition, subgroup analyses were performed based on patient type (TB patient and TB suspected patient), sample type (sputum, bronchoalveolar lavage fluid and others). All statistical analyses were conducted with Stata version 13.0. Results: A total of 47 articles were included in this systematic review. Most of them (38 articles) were in Chinese and only 9 articles were in English. All the articles were published during 2014 to 2017, and the sample size ranged from 31 to 3 151. Forty articles including 42 comparisons about TB were finally included with the pooled sensitivity of 0.94 (95%CI: 0.92, 0.95) and the pooled specificity of 0.87 (95%CI: 0.84, 0.91). Subgroup analysis showed that different patient and specimen types had no significant differences on sensitivity, but the specificity of sputum group was higher than that of bronchoalveolar lavage fluid. As for the detection of rifampicin-resistant TB, 33 articles (38 comparisons) were analyzed, the pooled sensitivity and specificity were 0.92 (95%CI: 0.89, 0.94) and 0.98 (95%CI: 0.97, 0.99) respectively. There were no significant differences between the patient and specimen in the subgroup analyses. The Deeks funnel plot showed a possible publication bias for detecting active tuberculosis (P=0.08) and no publication bias for rifampicin-resistant TB (P=0.24). The likelihood ratio scatter gram showed that in clinical applications, Xpert® MTB/RIF had a good diagnostic ability for detecting active tuberculosis, and it had good clinical diagnostic value in detecting rifampicin-resistant TB. Conclusion: Xpert® MTB/RIF has good sensitivity and specificity in detecting TB and rifampicin-resistant TB in Chinese people. In particular, it has good clinical value in diagnosing rifampicin-resistance TB.

Key words: Pulmonary tuberculosis, Multidrug-resistant tuberculosis, Xpert®MTB/RIF, Meta-analysis

中图分类号: 

  • R181.2

图1

文献纳入、排除流程图"

图2

文献质量评价结果"

表1

Meta分析与亚组分析结果"

Group Subgroups No. of studies No. of comparisons Pooled sensitivity (95%CI) Pooled specificity (95%CI) I2
Active tuberculosis
Total 40 42 0.94 (0.92, 0.95) 0.87 (0.84, 0.91) 99%
Patient TB suspected patient 21 21 0.92 (0.88, 0.94) 0.90 (0.86, 0.92) 98%
TB patient 18 20 0.95 (0.93, 0.97) 0.84 (0.75, 0.90) 98%
Both* 1 1 0.95 (0.92, 0.98) 0.95 (0.93, 0.97)
Specimen Sputum 33 35 0.93 (0.91, 0.95) 0.90 (0.87, 0.92) 98%
BALF 6 6 0.97 (0.93, 0.99) 0.68 (0.56, 0.78) 38%
Others* 1 1 0.65 (0.40, 0.83) 0.70 (0.63, 0.76)
Rifampicin-resistant tuberculosis
Total 33 38 0.92 (0.89, 0.94) 0.98 (0.97, 0.99) 72%
Patient TB suspected patient 17 22 0.90 (0.87, 0.93) 0.98 (0.97, 0.98) 35%
TB patient 13 13 0.91 (0.87, 0.95) 0.98 (0.96, 0.99) 73%
Both* 3 3 0.94 (0.87, 0.98) 0.98 (0.97, 0.99) Se: 18.6%, Sp: 0
Specimen Sputum 26 31 0.90 (0.88, 0.92) 0.98 (0.97, 0.99) 80%
BALF 3 3 0.87 (0.59, 0.97) 0.94 (0.87, 0.97) Se: 0, Sp: 0
Others* 4 4 0.98 (0.94, 1.00) 0.98 (0.96, 0.99) Se: 31.1%, Sp: 0

图3

发表偏倚的评价结果"

图4

似然比点状图"

[1] WHO. Global tuberculosis report 2017 [EB/OL]. [2019-01-07]. http://www.who.int/tb/publications/global_report/en/.
[2] WHO. The End TB Strategy [EB/OL]. [2018-12-16]. http://www.who.int/tb/strategy/en/.
[3] 陆震宇, 杨明芳, 陈纬. 结核病实验室诊断技术评价及其研究进展[J]. 中国卫生检验杂志, 2017,27(2):301-304.
[4] 刘宇, 吴利先. Xpert MTB/RIF在结核病诊断中的研究进展[J]. 中国病原生物学杂志, 2017,12(8):800-802.
[5] Ding P, Li X, Jia Z, et al. Multidrug-resistant tuberculosis (MDR-TB) disease burden in China: a systematic review and spatio-temporal analysis[J]. BMC Infect Dis, 2017,17(1):57.
doi: 10.1186/s12879-016-2151-5 pmid: 28073344
[6] PROSPERO. International prospective register of systematic reviews[EB/OL].[2018-12-11]. https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=93417.
[7] Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies[J]. Ann Intern Med, 2011,155(8):529-536.
pmid: 22007046
[8] Deeks JJ, Macaskill P, Irwig L. The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed[J]. J Clin Epidemiol, 2005,58(9):882-893.
doi: 10.1016/j.jclinepi.2005.01.016 pmid: 16085191
[9] Liu Z, Pan A, Wu B, et al. Feasibility of a new model for early detection of patients with multidrug-resistant tuberculosis in a developed setting of eastern China[J]. Trop Med Int Health, 2017,22(10):1328-1333.
doi: 10.1111/tmi.12934 pmid: 28746979
[10] Ou X, Xia H, Li Q, et al. A feasibility study of the Xpert MTB/RIF test at the peripheral level laboratory in China[J]. Int J Infect Dis, 2015(31):41-46.
[11] Pang Y, Wang Y, Zhao S, et al. Evaluation of the Xpert MTB/RIF assay in gastric lavage aspirates for diagnosis of smear-negative childhood pulmonary tuberculosis[J]. Pediatr Infect Dis J, 2014,33(10):1047-1051.
doi: 10.1097/INF.0000000000000403
[12] Shao Y, Peng H, Chen C, et al. Evaluation of GeneXpert MTB/RIF for detection of pulmonary tuberculosis at peripheral tuberculosis clinics[J]. Microb Pathog, 2017,105:260-263.
doi: 10.1016/j.micpath.2017.02.040 pmid: 28258004
[13] Tang T, Liu F, Lu X, et al. Evaluation of GeneXpert MTB/RIF for detecting Mycobacterium tuberculosis in a hospital in China[J]. J Int Med Res, 2017,45(2):816-822.
doi: 10.1177/0300060517698618 pmid: 28351283
[14] Wang SF, Ou XC, Li Q, et al. The Abbott RealTime MTB assay and the Cepheid GeneXpert assay show comparable performance for the detection of Mycobacterium tuberculosis in sputum specimens[J]. Int J Infect Dis, 2016(45):78-80.
[15] 曾松芳, 郭美丽, 赵珊珊, 等. 结核分枝杆菌/利福平耐药实时荧光定量核酸扩增检测技术在肺结核快速诊断中的应用价值[J]. 中国卫生检验杂志, 2016,26(5):683-685.
[16] 陈玮, 李杨, 陈依江, 等. Xpert Mtb/RIF检测技术在县级肺结核诊断中的应用评价[J]. 中国卫生产业, 2017,14(17):5-7.
[17] 陈子芳, 孙本海, 魏海冬, 等. GeneXpert MTB/RIF技术对菌阴肺结核患者辅助诊断的价值[J]. 中国防痨杂志, 2016,38(10):827-831.
[18] 杜安玲. Xpert MTB/RIF技术检测肺结核病人痰菌阳性结果分析[J]. 河南预防医学杂志, 2017,28(3):204-205.
[19] 高春景, 朱述阳. 支气管肺泡灌洗液行Xpert MTB/RIF检测对涂阴肺结核的诊断价值[J]. 临床肺科杂志, 2016,21(12):2192-2196.
[20] 郭炽星, 蒋敏慧, 黎敬忠, 等. Xpert MTB/RIF系统检测痰标本的应用评价[J]. 广东医学院学报, 2016,34(1):67-69.
[21] 郭婧玮, 袁仕善, 谭云洪, 等. Xpert MTB/RIF对肺结核患者痰标本中结核分枝杆菌及其利福平耐药快速检测的应用性研究[C]// 科学研究与结核病防治高峰论坛论文汇编. 陕西延安: 科学研究与结核病防治高峰论坛, 2014.
[22] 韩丹, 段慧楠, 饶有益, 等. 纤维支气管镜灌洗液Xpert MTB/RIF检测对肺结核诊断和利福平耐药菌株筛选的临床价值[J]. 医学综述, 2016,22(16):3243-3246.
[23] 何贵清, 李涛, 施伎蝉, 等. 利福平耐药结核分枝杆菌实时荧光定量核酸扩增检测技术在214例诊断肺结核患者中的临床应用评价[J]. 中华传染病杂志, 2016,34(6):349-353.
[24] 黄芳, 党丽云, 孙惠平, 等. 三种分子生物学诊断技术对结核病诊断价值的比较[J]. 中华结核和呼吸杂志, 2015,38(9):680-685.
[25] 黄建斌, 杨玲, 梁晓莉. GeneXpert MTB/RIF检测技术在结核病诊断中的应用探讨[J]. 医学动物防制, 2017,33(4):465-467.
[26] 赖聪娟, 雷永良, 季柏林, 等. Xpert MTB/RIF技术辅助诊断耐多药肺结核的价值分析[J]. 中国卫生检验杂志, 2016,26(18):2628-2630.
[27] 李静, 林日文, 张灿强. Xpert MTB/RIF检测痰标本结核分枝杆菌与利福平耐受性的临床应用研究[J]. 国际检验医学杂志, 2017,38(4):480-482.
[28] 李妍, 张天华, 鲜小萍, 等. Xpert MTB/RIF检测技术诊断肺结核和肺外结核的价值[J]. 中国防痨杂志, 2015,37(6):586-589.
[29] 林日文, 李静. 利福平耐药实时荧光定量核酸扩增技术检测333例肺结核患者痰标本的结果分析[J]. 国际检验医学杂志, 2016,37(20):2901-2902.
[30] 林雪峰, 支晓阳. GeneXpert MTB/RIF实时荧光定量PCR系统在肺结核诊断及利福平耐药检测中的应用[J]. 中国卫生检验杂志, 2017,27(6):853-856.
[31] 刘爱梅, 苏玉, 张琪, 等. GeneXpert MTB/RIF试验在肺结核诊断中的应用评价[J]. 中国医师进修杂志, 2017,40(6):500-504.
[32] 刘畅. GeneXpert检测在肺结核病的临床诊断及治疗中的应用价值分析[J]. 医学理论与实践, 2016,29(24):3392-3394.
[33] 刘建侠. Xpert MTB/RIF技术在基层定点医院肺结核病诊断中的应用价值[J]. 中国实验诊断学, 2016,20(6):928-930.
[34] 刘涛, 杨翌翔, 刘军, 等. Xpert MTB/RIF检测技术诊断结核病及其耐药的研究[J]. 检验医学与临床, 2017,14(13):1898-1900.
[35] 刘亚芹, 杨振斌, 冯冬霞, 等. GeneXpert法检测结核分枝杆菌及其对利福平耐药性的研究[J]. 中华实验和临床感染病杂志:电子版, 2015,9(4):524-527.
[36] 罗兰波, 唐柳生. 痰液两种检验方法在肺结核诊断中的应用价值探讨[J]. 医药前沿, 2016,6(36):216-217.
[37] 牛波, 刘建华, 曹丽洁, 等. Xpert MTB/RIF系统检测儿童肺结核灌洗液标本结果分析[J]. 皖南医学院学报, 2016,35(2):140-142.
[38] 欧喜超, 池俊英, 赵雁林, 等. 半巢式全自动实时荧光定量核酸扩增检测在结核病诊断中的应用[C]// 科学研究与结核病防治高峰论坛论文汇编. 陕西延安:科学研究与结核病防治高峰论坛, 2014.
[39] 司大. 抗酸染色法、固体培养法、Xpert MTB法对肺结核病人痰标本检测结果的比较分析[J]. 医药, 2016,1(1):213-215.
[40] 田斌, 王孝君, 文岚, 等. Xpert MTB/RIF检测系统对肺结核临床诊断病例的应用价值[J]. 中国人兽共患病学报, 2016,32(9):798-801.
doi: 10.3969/j.issn.1002-2694.2016.09.007
[41] 韦宣彤. 对353例痰标本Xpert MTB/RIF检测和固体培养的结果分析[J]. 医药前沿, 2016,6(4):212-213.
[42] 吴祥兵, 李娜, 蔡明明, 等. 应用Xpert MTB/RIF技术快速筛查耐多药肺结核[J]. 预防医学, 2017,29(7):754-756.
[43] 杨丹丹. 利用GeneXpert检测结核分支杆菌及其利福平耐药性的研究[J]. 中国医药指南, 2017,15(12):175-176.
[44] 杨慧娟, 马利, 陈连勇, 等. Xpert MTB/RIF技术对结核分枝杆菌检测和耐多药结核快速筛查的研究[J]. 中国卫生检验杂志, 2015,25(23):4056-4059.
[45] 杨蕴华, 韩中波. Xpert MTB/RIF技术在结核病诊断及耐药检测中的应用[J]. 中国实用医药, 2015,10(7):195-196.
[46] 叶鹏. 全自动实时荧光定量PCR系统在肺结核诊断和药敏试验检测中的应用价值[J]. 中国预防医学杂志, 2017,18(4):307-310.
[47] 张灿强, 赖晓宇, 郭劼琳. Xpert MTB/RIF技术在肺结核诊断中的应用价值[J]. 现代医院, 2016,16(12):1783-1785.
[48] 张国钦, 巨韩芳, 钟达, 等. Xpert MTB/RIF应用于可疑肺结核患者诊断效果分析[J]. 中国热带医学, 2017,17(3):266-269.
[49] 张青, 薛冰茹, 李克诚. GeneXpert MTB/RIF系统对肺结核的诊断价值[J]. 检验医学, 2016,31(7):599-602.
doi: 10.3969/j.issn.1673-8640.2016.07.013
[50] 张燕, 李波. GeneXpert MTB/RIF快速检测法结核分支菌及其对利福平耐药性的临床价值评估[J]. 现代实用医学, 2016,28(10):1361-1362.
[51] 张志学, 苍爱泽, 孙静. 应用GeneXpert MTB/RIF技术检测肺泡灌洗液对菌阴肺结核的临床诊断价值[J]. 结核病与肺部健康杂志, 2017,6(2):128-130.
[52] 赵冰, 欧喜超, 夏辉, 等. Xpert MTB/RIF检测技术在结核病诊断中的应用评价[J]. 中国防痨杂志, 2014,36(6):462-466.
doi: 10.3969/j.issn.1000-6621.2014.06.011
[53] 钟丽云, 李静. Xpert MTB/RIF试验在县(区)基层结核病实验室诊断疑似肺结核中的应用价值[J]. 上海医药, 2017,38(5):41-43.
[54] 周洪经, 郭明日, 冯爽, 等. Xpert MTB/RIF在快速诊断肺结核及利福平耐药中的临床应用[J]. 国际检验医学杂志, 2016,37(18):2568-2570.
[55] 朱岩昆, 王宇, 靳晓伟, 等. 交叉引物核酸恒温扩增技术在基层实验室诊断肺结核的应用价值[J]. 中国防痨杂志, 2016,38(10):813-817.
[56] Steingart KR, Sohn H, Schiller I, et al. Xpert(R) MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults[J]. Cochrane Database Syst Rev, 2013(1): CD009593. doi: 10.1002/14651858.CD009593.
doi: 10.1002/14651858.CD004288.pub3 pmid: 26799160
[1] 李秋钰,梁瀛,代妮妮,王玉湘,朱博韬,伍蕊,朱红,孙永昌. 血源播散性肺结核继发噬血细胞综合征1例[J]. 北京大学学报(医学版), 2022, 54(6): 1219-1223.
[2] 袁昌巍,王盈进,张书杰,沈胜利,段鸿洲. 显微外科手术与血管内栓塞治疗硬脊膜动静脉瘘临床疗效比较的meta分析[J]. 北京大学学报(医学版), 2022, 54(2): 304-314.
[3] 曾保起,于树青,陈瑶,翟伟,刘斌,詹思延,孙凤. 主动脉瓣生物瓣膜安全性的系统评价与meta分析[J]. 北京大学学报(医学版), 2020, 52(3): 547-556.
[4] 张祎然,饶烽,皮伟,张培训,姜保国. 股骨近端防旋髓内钉与动力髋螺钉治疗不稳定型粗隆间骨折的meta分析[J]. 北京大学学报(医学版), 2019, 51(3): 493-500.
[5] 刘爽,郭雨龙,杨静逸,王维,徐健. 间充质干细胞治疗系统性红斑狼疮有效性的meta分析[J]. 北京大学学报(医学版), 2018, 50(6): 1014-1021.
[6] 石慧峰, 张敬旭, 张嵘, 王晓莉. 中国0~6岁儿童孤独症谱系障碍患病率的meta分析[J]. 北京大学学报(医学版), 2017, 49(5): 798-806.
[7] 马燕燕,章晶晶,高雪梅. 不同下颌前伸度口腔矫治器治疗阻塞性睡眠呼吸暂停低通气综合征的系统评价[J]. 北京大学学报(医学版), 2017, 49(4): 691-699.
[8] 李志霞,武珊珊,杨智荣,詹思延,孙凤. 胰高血糖素样肽1受体激动剂类降糖药致2型糖尿病患者鼻咽炎和上呼吸道感染的网状meta分析[J]. 北京大学学报(医学版), 2016, 48(3): 454-459.
[9] 黄元升, 杨智荣, 詹思延. 简单合并模型与双变量模型在诊断试验Meta分析中的使用现状调查[J]. 北京大学学报(医学版), 2015, 47(3): 483-488.
[10] 刘大锦, 冯孟贤, 刘民. 中国未接受抗病毒治疗的人类免疫缺陷病毒/获得性免疫缺陷综合征(HIV/AIDS)人群HIV原发耐药的Meta分析[J]. 北京大学学报(医学版), 2015, 47(3): 474-482.
[11] 武珊珊, 张越伦, 王巍巍, 陈茹, 孙凤, 詹思延 . 耐多药结核病治疗过程中肝损害发生率的Meta分析[J]. 北京大学学报(医学版), 2014, 46(3): 417-423.
[12] 詹思延. 药物流行病学理论和方法的发展[J]. 北京大学学报(医学版), 2013, 45(03): 343-346.
[13] 方振威, 翟所迪, . 阿瑞吡坦防治化疗致恶心呕吐的Meta分析[J]. 北京大学学报(医学版), 2010, 42(6): 756-763.
[14] 詹思延. 如何做一个好的系统综述和Meta分析[J]. 北京大学学报(医学版), 2010, 42(6): 644-647.
[15] 王亚波, 毛宇, 魏强, 吴泰相, 董强. 达泊西汀治疗早泄的有效性系统评价[J]. 北京大学学报(医学版), 2010, 42(4): 425-432.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!