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GeneXpert MTB/RIF 系统在诊断肺外结核中的性能评估。

Evaluation of GeneXpert MTB/RIF system performances in the diagnosis of extrapulmonary tuberculosis.

机构信息

Epidemiology and bacterial resistance research team/BIO-INOVA Centre, Faculty of Medicine and Pharmacy (University Mohammed V), Rabat, Morocco.

Department of Bacteriology, Mohammed V Military Teaching Hospital / Faculty of Medicine and Pharmacy (University Mohammed V), Rabat, Morocco.

出版信息

BMC Infect Dis. 2019 Dec 19;19(1):1069. doi: 10.1186/s12879-019-4687-7.

Abstract

BACKGROUND

Tuberculosis represents a serious public health problem and a significant diagnostic and therapeutic challenge worldwide. Molecular diagnostic techniques are crucial in the World Health Organization's new tuberculosis control strategy. This study aims to evaluate the performance of GeneXpert MTB/RIF (Cepheid Sunnyvale, CA, United States) in diagnosis of extra-pulmonary tuberculosis then compare it's performance in detecting Rifampicin resistance to GenoType MTBDRplus (HAIN Life Sciences, Nehren, Germany).

METHODS

Samples from pulmonary and/or extra-pulmonary origins were analysed in a 21 months retrospective study. Samples were sent to the bacteriology laboratory for Mycobacterium tuberculosis detection using conventional bacteriological and molecular methods (GeneXpert MTB/RIF and MTBDRplus). Sensitivity and specificity were calculated for the stained smear and GeneXpert according to culture (Gold Standard) as well as for GeneXpert MTB/RIF in both negative and positive microscopy tuberculosis cases. Data's statistical analysis was performed with SPSS13.0 software.

RESULTS

Seven hundred fourteen patients' samples were analysed; the average age was 47.21 ± 19.98 years with a male predominance (66.4%). Out of 714 samples: 285 were from pulmonary and 429 were from extra-pulmonary origins. The positivity rates for microscopy, GeneXpert MTB/RIF and culture were 12.88, 20.59 and 15.82%, respectively. These rates were 18.9, 23.85 and 20.35% for pulmonary samples and 9.71, 18.41 and 12.82% for extra-pulmonary samples, respectively. The sensitivity and specificity of GeneXpert MTB/RIF were almost the same in both pulmonary and extra-pulmonary samples (78.2 and 90.4%) and (79,3 and 90.3%) respectively. Rifampicin resistance rate found by GeneXpert MTB/RIF was 0.84%. Comparison of Rifampicin resistance obtained by GeneXpert MTB/RIF and Genotype MTBDRplus, showed 100% agreement between the two techniques for studied samples.

CONCLUSIONS

This confirms GeneXpert MTB/RIF advantage for tuberculosis diagnosis, particularly extra-pulmonary tuberculosis with negatively stained smear. The performance of GeneXpert and Genotype MTBDRplus are similar in detection of Rifampicin resistance. However, variability of detection performance according to tuberculosis endemicity deserves more attention in the choice of screening techniques of Rifampicin resistance, hence the interest of conducting comparative studies of detection performance under low and medium endemicity on large samples of tuberculosis populations.

摘要

背景

结核病是一个严重的公共卫生问题,也是全球诊断和治疗的重大挑战。分子诊断技术在世界卫生组织新的结核病控制策略中至关重要。本研究旨在评估 GeneXpert MTB/RIF(Cepheid,加利福尼亚州森尼韦尔)在诊断肺外结核病方面的性能,并比较其检测利福平耐药性的性能与 GenoType MTBDRplus(HAIN Life Sciences,Nehren,德国)。

方法

在一项为期 21 个月的回顾性研究中,对来自肺和/或肺外来源的样本进行了分析。将样本送到细菌学实验室,使用传统的细菌学和分子方法(GeneXpert MTB/RIF 和 MTBDRplus)检测结核分枝杆菌。根据培养(金标准)以及阴性和阳性显微镜结核病病例中的 GeneXpert,计算染色涂片和 GeneXpert 的灵敏度和特异性。使用 SPSS13.0 软件进行数据的统计分析。

结果

分析了 714 例患者的样本,平均年龄为 47.21±19.98 岁,男性居多(66.4%)。714 例样本中,285 例来自肺部,429 例来自肺外。显微镜检查、GeneXpert MTB/RIF 和培养的阳性率分别为 12.88%、20.59%和 15.82%。这些比率分别为肺部样本的 18.9%、23.85%和 20.35%,以及肺外样本的 9.71%、18.41%和 12.82%。GeneXpert MTB/RIF 的灵敏度和特异性在肺部和肺外样本中几乎相同(分别为 78.2%和 90.4%)和(分别为 79.3%和 90.3%)。GeneXpert MTB/RIF 检测到的利福平耐药率为 0.84%。比较 GeneXpert MTB/RIF 和 Genotype MTBDRplus 检测到的利福平耐药性,两种技术对研究样本的一致性为 100%。

结论

这证实了 GeneXpert MTB/RIF 在结核病诊断中的优势,特别是对染色涂片阴性的肺外结核病。GeneXpert 和 Genotype MTBDRplus 在检测利福平耐药性方面的性能相似。然而,根据结核病流行程度检测性能的变化值得在筛选利福平耐药性的技术选择中引起更多关注,因此,在结核病人群的大样本中进行低和中度流行率下的检测性能比较研究很有意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd9/6924055/84d7e710ae32/12879_2019_4687_Fig1_HTML.jpg

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