APPLICATION OF XPERT MTB/RIF IN RIFAMPICIN RESISTANCE DETECTION AND DIAGNOSIS OF SPINAL TUBERCULOSIS

被引:0
|
作者
Wu, Peng [1 ]
Luo, Li [2 ]
Chen, Zhen [1 ]
机构
[1] Ningxia Med Univ, Gen Hosp, Dept Orthoped, Yinchuan, Ningxia, Peoples R China
[2] Ningxia Med Univ, Gen Hosp, Dept Neonatal, Yinchuan, Ningxia, Peoples R China
来源
ACTA MEDICA MEDITERRANEA | 2022年 / 38卷 / 03期
关键词
Xpert MTB; RIF; spinal tuberculosis; rifampicin; drug resistance; diagnosis; MYCOBACTERIUM-TUBERCULOSIS;
D O I
10.19193/0393-6384_2022_3_320
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: To explore the application of Xpert MTB/RIF in the detection of rifampicin resistance and the diagnosis of spinal tuberculosis. Materials and methods: This study collected 146 patients with suspected spinal tuberculosis who were treated by spinal surgery in our hospital from December 2019 to December 2021, and the lesion tissue (pus, caseous tissue, granulation) in the operation area was collected from each patient. The lesion tissue (pus, caseous tissue, and granulation tissue) in the operation area was collected from each patient and divided into two parts, one for histopathological examination, the other for tuberculosis smear, tuberculosis culture, and GeneXpert detection. Rifampicin Drug Sensitive Test (DST) was performed in patients with positive Mycobacterium tuberculosis culture. The efficacy of Xpert MTB/RIF to detect rifampicin resistance was analyzed, and the sensitivity and specificity of Xpert MTB/RIF to detect Mycobacterium tuberculosis was calculated. Moreover, the differences with acid-fast staining, sensitivity, and specificity of rapid culture of Mycobacterium tuberculosis were compared. The Composite reference standard (CRS) was used as the diagnostic standard in this study to evaluate the diagnostic performance of Xpert MTB/RIF for detecting spinal tuberculosis. CRS include: Mycobacterium tuberculosis smear, Mycobacterium tuberculosis culture, clinical manifestations, histopathology, computed tomography (CT) and Magnetic Resonance Imaging (MRI), and follow-up for 3 months after enrollment. Under CRS diagnostic criteria, patients were divided into 4 groups: confirmed spinal tuberculosis group, clinically diagnosed spinal tuberculosis group, suspected spinal tuberculosis group, and non-spinal tuberculosis group. Results: In this study, 146 patients were collected, 9 were excluded, and 137 patients were finally included. There were 75 males and 62 females, with an average age of 44.28 +/- 16.98 years. There were 14 cases of cervical vertebrae, 37 cases of thoracic vertebrae1-9, 50 cases of thoracolumbar segment, and 36 cases of lumbar vertebrae3-5. Taking CRS standard as reference, 123 of 137 patients were diagnosed as spinal tuberculosis. Among them, there were 68 cases in the confirmed spinal tuberculosis group, 31 cases in the clinically diagnosed spinal tuberculosis group, 24 cases in the suspected spinal tuberculosis group and 14 cases in the non spinal tuberculosis group. The sensitivity of Xpert, smear and culture were 82.93% (102/123), 29.27% (36/ 23) and 48.36% (59/122) respectively. The sensitivity of Xpert, smear and culture were statistically significant (P<0.05). The specificity of Xpert, smear and culture were 100% (14/14) and 100% (14/14) respectively 93.33% (14/15). DST were performed on 59 specimens with positive culture, of which 12 were rifampicin-resistant and 47 were rifampicin-sensitive. Among the 12 cases of rifampicin resistance diagnosed by DST, 11 cases were rifampicin resistance diagnosed by Xpert and 1 case was rifampicin sensitive diagnosed by Xpert. Among the 47 rifampicin-sensitive cases diagnosed by DST, 3 were rifampicin-resistant and 43 were rifampicin-sensitive by Xpert. The sensitivity of Xpert to detect rifampicin resistance was 91.67% (11/12), the specificity was 93.62% (44/47). Conclusions: Xpert MTB/RIF is a molecular detection technology that can simultaneously detect the resistance of Mycobacterium tuberculosis and rifampicin to spinal tuberculosis, which has high diagnostic value in the rapid diagnosis of spinal tuberculosis.
引用
收藏
页码:2093 / 2099
页数:7
相关论文
共 50 条
  • [21] Rifampicin Resistance by Xpert MTB/RIF Assay in Pulmonary Tuberculosis- Is there a Need for Confirmation by Retesting?
    Kanade, Swapna Rajesh
    Vijay, Swati
    Nataraj, Gita
    JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2022, 16 (05) : DC46 - DC49
  • [22] Xpert® MTB/RIF assay: development, evaluation and implementation of a new rapid molecular diagnostic for tuberculosis and rifampicin resistance
    Lawn, Stephen D.
    Nicol, Mark P.
    FUTURE MICROBIOLOGY, 2011, 6 (09) : 1067 - 1082
  • [23] An evaluation of false-positive rifampicin resistance on the Xpert MTB/RIF
    Cayci, Yeliz Tanriverdi
    Bilgin, Kemal
    Coban, Ahmet Yilmaz
    Birinci, Asuman
    Durupinar, Belma
    MEMORIAS DO INSTITUTO OSWALDO CRUZ, 2017, 112 (11): : 756 - 759
  • [24] Rifampicin Resistance and Multidrug-Resistant Tuberculosis Detection Using Xpert MTB/RIF in Wuhan, China: A Retrospective Study
    Huang, Hai
    Zhang, Yanlin
    Li, Sheng
    Wang, Jun
    Chen, Jun
    Pan, Zhiyun
    Gan, Hui
    MICROBIAL DRUG RESISTANCE, 2018, 24 (05) : 675 - 679
  • [25] Line Probe Assay Test in New Cases of Tuberculosis with Rifampicin Resistance Not Detected by Xpert MTB/RIF
    Soedarsono, Soedarsono
    Mertaniasih, Ni
    Hasan, Helmia
    Kusmiati, Tutik
    Permatasari, Ariani
    Kusumaningrum, Deby
    Wijaksono, Whendy
    INTERNATIONAL JOURNAL OF MYCOBACTERIOLOGY, 2022, 11 (04) : 429 - 434
  • [26] Impact of Xpert MTB/RIF in the Diagnosis of Childhood Tuberculosis in Rural Ethiopia
    Perez-Butragueno, Mario
    Ramos-Rincon, Jose-Manuel
    Tesfamariam, Abraham
    Comeche, Belen
    Mohammed, Nurih
    Tiziano, Gebre
    Endirays, Jacob
    Biru, Dejene
    Elala, Tamasghen
    Edri, Abu
    Prieto, Laura
    Gorgolas, Miguel
    JOURNAL OF TROPICAL PEDIATRICS, 2022, 68 (04)
  • [27] Scaling-up the Xpert MTB/RIF assay for the detection of tuberculosis and rifampicin resistance in India: An economic analysis
    Khaparde, Sunil
    Raizada, Neeraj
    Nair, Sreenivas Achuthan
    Denkinger, Claudia
    Sachdeva, Kuldeep Singh
    Paramasivan, Chinnambedu Nainarappan
    Salhotra, Virender Singh
    Vassall, Anna
    van't Hoog, Anja
    PLOS ONE, 2017, 12 (09):
  • [28] Performance of Xpert MTB/RIF for the Diagnosis of Extrapulmonary Tuberculosis
    Kim, Soo-Kyung
    Chang, Jeonghyun
    Choi, Sang-Ho
    Sung, Heungsup
    Kim, Mi-Na
    CLINICAL LABORATORY, 2021, 67 (02) : 229 - 234
  • [29] Evaluation of Xpert MTB/RIF for the Diagnosis of Lymphatic Tuberculosis
    Li, Hou-He
    He, Zhi-Jian
    Liang, Jia-Qi
    Li, Gui-Lin
    Xie, Tian-Ao
    Liu, Ye-Ling
    Li, Zhong-Wei
    Feng, Xuan-Cheng
    Xia, Yong
    Guo, Xu-Guang
    BIOMED RESEARCH INTERNATIONAL, 2020, 2020
  • [30] Evaluation of Xpert MTB/RIF Assay for Diagnosis of Tuberculosis in Children
    Das, Arghya
    Anupurba, Shampa
    Mishra, Om P.
    Banerjee, Tuhina
    Tripathi, Rajneesh
    JOURNAL OF TROPICAL PEDIATRICS, 2019, 65 (01) : 14 - 20