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Liu Q, Pan X, An H, Du J, Li X, Sun W, Gao Y, Li Y, Niu H, Gong W, Liang J. Building a model for the differential diagnosis of non-tuberculous mycobacterial lung disease and pulmonary tuberculosis: A case-control study based on immunological and radiological features. Int Immunopharmacol 2023; 124:111064. [PMID: 37857122 DOI: 10.1016/j.intimp.2023.111064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/30/2023] [Accepted: 10/10/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND Although the incidence of non-tuberculous mycobacterial pulmonary disease (NTM-PD) is increasing annually, it is easily misdiagnosed as pulmonary tuberculosis (PTB). This study aimed to screen and identify the immunological and radiological characteristics that differentiate NTM-PD from PTB and to construct a discriminatory diagnostic model for NTM-PD, providing new tools for its differential diagnosis. METHODS Hospitalised patients diagnosed with NTM-PD or PTB between January 2019 and June 2023 were included in the study. Immunological and radiological characteristics were compared between the two groups. Based on the selected differential features, a logistic regression algorithm was used to construct a discriminatory diagnostic model for NTM-PD, and its diagnostic performance was preliminarily analysed. RESULTS Patients with NTM-PD were significantly older than those with PTB and the tuberculosis-specific interferon-gamma release assay (TB-IGRA) positivity rate was significantly lower in the NTM-PD group. Moreover, the absolute counts of total T lymphocytes, CD4+ T lymphocytes, CD8+ T lymphocytes, NK cells, and B lymphocytes were significantly lower in patients with NTM-PD and PTB than in healthy controls. Additionally, patients with NTM-PD had a significantly lower absolute count of B lymphocytes than the PTB group. Radiological analysis revealed significant differences between patients with NTM-PD and PTB in terms of cavity wall thickness, bronchial dilation, lung consolidation, pulmonary nodule size, pulmonary emphysema, lung bullae, lymph node calcification, pleural effusion, mediastinal and hilar lymphadenopathy, and the tree-in-bud sign. Bronchial dilation was identified as the predominant risk factor of NTM-PD, whereas TB-IGRA positivity, lymph node calcification, pleural effusion, and mediastinal and hilar lymphadenopathies were protective factors. Based on this, we constructed a discriminatory diagnostic model for NTM-PD. Its receiver operating characteristic curve demonstrated good diagnostic performance, with an area under the curve of 0.938. At the maximum Youden index of 0.746, the sensitivity and specificity were 0.835 and 0.911, respectively. CONCLUSIONS Patients with NTM-PD and PTB exhibited impaired humoral and cellular immune functions as well as significant differences in radiological features. The constructed NTM-PD diagnostic model demonstrated good diagnostic performance. This study provides a new tool for the differential diagnosis of NTM-PD.
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Affiliation(s)
- Qi Liu
- Hebei North University, Zhangjiakou 075000, Hebei, China; Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - Xiuming Pan
- Hebei North University, Zhangjiakou 075000, Hebei, China
| | - Huiru An
- Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - Jingli Du
- Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - Xianan Li
- Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - Wenna Sun
- Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - Yongkun Gao
- Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - Yuxi Li
- Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - Honghong Niu
- Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - Wenping Gong
- Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China.
| | - Jianqin Liang
- Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China.
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Liu CJ, Tsai CC, Kuo LC, Kuo PC, Lee MR, Wang JY, Ko JC, Shih JY, Wang HC, Yu CJ. A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study. Insights Imaging 2023; 14:67. [PMID: 37060419 PMCID: PMC10105818 DOI: 10.1186/s13244-023-01395-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 02/19/2023] [Indexed: 04/16/2023] Open
Abstract
BACKGROUND Timely differentiating between pulmonary tuberculosis (TB) and nontuberculous mycobacterial lung disease (NTM-LD), which are radiographically similar, is important because infectiousness and treatment differ. This study aimed to evaluate whether artificial intelligence could distinguish between TB or NTM-LD patients by chest X-rays (CXRs) from suspects of mycobacterial lung disease. METHODS A total of 1500 CXRs, including 500 each from patients with pulmonary TB, NTM-LD, and patients with clinical suspicion but negative mycobacterial culture (Imitator) from two hospitals, were retrospectively collected and evaluated in this study. We developed a deep neural network (DNN) and evaluated model performance using the area under the receiver operating characteristic curves (AUC) in both internal and external test sets. Furthermore, we conducted a reader study and tested our model under three scenarios of different mycobacteria prevalence. RESULTS Among the internal and external test sets, the AUCs of our DNN model were 0.83 ± 0.005 and 0.76 ± 0.006 for pulmonary TB, 0.86 ± 0.006 and 0.64 ± 0.017 for NTM-LD, and 0.77 ± 0.007 and 0.74 ± 0.005 for Imitator. The DNN model showed higher performance on the internal test set in classification accuracy (66.5 ± 2.5%) than senior (50.8 ± 3.0%, p < 0.001) and junior pulmonologists (47.5 ± 2.8%, p < 0.001). Among different prevalence scenarios, the DNN model has stable performance in terms of AUC to detect TB and mycobacterial lung disease. CONCLUSION DNN model had satisfactory performance and a higher accuracy than pulmonologists on classifying patients with presumptive mycobacterial lung diseases. DNN model could be a complementary first-line screening tool.
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Affiliation(s)
- Chia-Jung Liu
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsinchu, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Cheng Che Tsai
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lu-Cheng Kuo
- Department of Internal Medicine, National Taiwan University Hospital, #7, Zhongshan South Rd., Zhongzheng Dist., Taipei, 100226, Taiwan
| | - Po-Chih Kuo
- Department of Computer Science, National Tsing Hua University, No. 101, Kuang Fu Rd, Sec.2, Hsinchu, 300044, Taiwan.
| | - Meng-Rui Lee
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsinchu, Taiwan.
- Department of Internal Medicine, National Taiwan University Hospital, #7, Zhongshan South Rd., Zhongzheng Dist., Taipei, 100226, Taiwan.
| | - Jann-Yuan Wang
- Department of Internal Medicine, National Taiwan University Hospital, #7, Zhongshan South Rd., Zhongzheng Dist., Taipei, 100226, Taiwan
| | - Jen-Chung Ko
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsinchu, Taiwan
| | - Jin-Yuan Shih
- Department of Internal Medicine, National Taiwan University Hospital, #7, Zhongshan South Rd., Zhongzheng Dist., Taipei, 100226, Taiwan
| | - Hao-Chien Wang
- Department of Internal Medicine, National Taiwan University Hospital, #7, Zhongshan South Rd., Zhongzheng Dist., Taipei, 100226, Taiwan
- Department of Medicine, National Taiwan University Cancer Center, Taipei, Taiwan
| | - Chong-Jen Yu
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsinchu, Taiwan
- Department of Internal Medicine, National Taiwan University Hospital, #7, Zhongshan South Rd., Zhongzheng Dist., Taipei, 100226, Taiwan
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Diriba G, Alemu A, Tola HH, Eshetu K, Yenew B, Amare M, Dagne B, Mollalign H, Sinshaw W, Abebaw Y, Seid G, Tadesse M, Zerihun B, Getu M, Moga S, Meaza A, Gamtesa DF, Tefera Z, Wondimu A, Hailu M, Buta B, Getahun M, Kebede A. Detection of Mycobacterium tuberculosis and rifampicin resistance by Xpert® MTB/RIF assay among presumptive tuberculosis patients in Addis Ababa, Ethiopia from 2014 to 2021. IJID REGIONS 2022; 5:97-103. [PMID: 36247095 PMCID: PMC9556786 DOI: 10.1016/j.ijregi.2022.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/31/2022] [Accepted: 09/01/2022] [Indexed: 12/02/2022]
Abstract
Objective This study aimed to determine the frequencies and trends of Mycobacterium tuberculosis and rifampicin resistance among presumptive tuberculosis patients in Ethiopia, who were tested using the Xpert MTB/RIF assay between 2014 and 2021. Methods Data were collected retrospectively from patient registries. Laboratory-based data were extracted from the national tuberculosis (TB) referral laboratory database. All patients referred to the National Tuberculosis Reference Laboratory (NTRL) for TB diagnosis from all over the country between March 1, 2014 and September 30, 2021, and tested using the Xpert MTB/RIF assay, were included. The extracted data were entered into a Microsoft Excel sheet and analyzed by Statistical Package for Social Sciences (SPSS) version 23. Results Among a total of 13 772 individuals tested using the Xpert MTB/RIF assay, the majority (8223; 59.7%) were males, and 48.5% (6678) of the individuals were aged between 15 and 39 years. Mycobacterium tuberculosis (MTB) was detected in 17.0% (2347) of the examined individuals. Of the detected MTB cases, nearly 9.9% (233) were rifampicin resistant (RR-TB), while 24 (1.0%) were RR-intermediate. Among all RR-TB cases, more than half (125; 53.6%) were detected in males, and 105 were new TB cases. Extrapulmonary (EPTB) patients had a greater rate of rifampicin resistance (11.0%) than pulmonary (PTB) patients (9.6%). Conclusion The frequency of TB and RR-TB remains high in the study setting. RR-TB was found to have a statistically significant association with previous anti-TB medication treatment. As a result, improving treatment adherence in recognized instances could assist in preventing MTB and RR-TB cases.
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Key Words
- EPHI, Ethiopian Public Health Institute
- EPTB, extrapulmonary tuberculosis
- MDR, multidrug resistance
- MTB, Mycobacterium tuberculosis
- MTBC, Mycobacterium tuberculosis complex
- Mycobacterium tuberculosis
- NTRL, National Tuberculosis Reference Laboratory
- PTB, pulmonary tuberculosis
- RIF, rifampicin
- RR-TB, rifampicin-resistant tuberculosis
- SPSS, Statistical Package for Social Sciences
- TB, tuberculosis
- WHO, World Health Organization
- Xpert MTB/RIF
- frequency
- rifampicin resistance
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Affiliation(s)
- Getu Diriba
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Ayinalem Alemu
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Habteyes Hailu Tola
- Department of Public Health, College of Health Sciences, Selale University, Fiche, Ethiopia
| | - Kirubel Eshetu
- USAID Eliminate TB Project, Management Sciences for Health, Addis Ababa, Ethiopia
| | - Bazezew Yenew
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Misikir Amare
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Biniyam Dagne
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Hilina Mollalign
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Waganeh Sinshaw
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Yeshiwork Abebaw
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Getachew Seid
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Mengistu Tadesse
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Betselot Zerihun
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Melak Getu
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Shewki Moga
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Abyot Meaza
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Dinka Fekadu Gamtesa
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Zigba Tefera
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Amanuel Wondimu
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Michael Hailu
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Bedo Buta
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Muluwork Getahun
- National Tuberculosis Reference Laboratory, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Abebaw Kebede
- Department of Microbial, Cellular and Molecular Biology, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
- Africa Centers for Disease Control and Prevention, Addis Ababa, Ethiopia
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Wu SH, Chan HH, Hsiao HC, Jou R. Primary Bedaquiline Resistance Among Cases of Drug-Resistant Tuberculosis in Taiwan. Front Microbiol 2021; 12:754249. [PMID: 34745058 PMCID: PMC8569445 DOI: 10.3389/fmicb.2021.754249] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/29/2021] [Indexed: 11/17/2022] Open
Abstract
Bedaquiline (BDQ), which is recommended for the treatment of drug-resistant tuberculosis (DR-TB), was introduced in Taiwan in 2014. Due to the alarming emergence of BDQ resistance, we conducted BDQ resistance analyses to strengthen our DR-TB management program. This retrospective population-based study included initial Mycobacterium tuberculosis isolates from 898 rifampicin-resistant (RR) or multidrug-resistant (MDR) TB cases never exposed to BDQ during 2008–2019. We randomly selected 65 isolates and identified 28 isolates with BDQ MIC<0.25μg/ml and MIC≥0.25μg/ml as the control and study groups, respectively. BDQ drug susceptibility testing (DST) using the MGIT960 system and Sanger sequencing of the atpE, Rv0678, and pepQ genes was conducted. Notably, 18 isolates with BDQ MIC=0.25μg/ml, 38.9% (7/18), and 61.1% (11/18) isolates were MGIT-BDQ resistant and susceptible, respectively. Consequently, we recommended redefining MIC=0.25μg/ml as an intermediate-susceptible category to resolve discordance between different DST methods. Of the 93 isolates, 22 isolates were MGIT-BDQ-resistant and 77.3% (17/22) of MGIT-BDQ-resistant isolates harbored Rv0678 mutations. After excluding 2 MGIT-BDQ-resistant isolates with borderline resistance (GU400growth control-GU100BDQ≤1day), 100% (15/15) harbored Rv0678 gene mutations, including seven novel mutations [g-14a, Ile80Ser (N=2), Phe100Tyr, Ala102Val, Ins g 181–182 frameshift mutation (N=2), Del 11–63 frameshift mutation, and whole gene deletion (N=2)]. Since the other 22.7% (5/22) MGIT-BDQ-resistant isolates with borderline resistance (GU400growth control-GU100BDQ≤1day) had no mutation in three analyzed genes. For isolates with phenotypic MGIT-BDQ borderline resistance, checking for GU differences or conducting genotypic analyses are suggested for ruling out BDQ resistance. In addition, we observed favorable outcomes among patients with BDQ-resistant isolates who received BDQ-containing regimens regardless of Rv0678 mutations. We concluded that based on MIC≥0.25μg/ml, 3.1% (28/898) of drug-resistant TB cases without BDQ exposure showed BDQ resistance, Rv0678 was not a robust marker of BDQ resistance, and its mutations were not associated with treatment outcomes.
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Affiliation(s)
- Sheng-Han Wu
- Taiwan Centers for Disease Control, Taipei, Taiwan
| | | | | | - Ruwen Jou
- Taiwan Centers for Disease Control, Taipei, Taiwan
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5
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Son E, Jang J, Kim T, Jang JH, Chung JH, Seol HY, Yeo HJ, Yoon SH, Lee SE, Cho WH, Kim YS, Jeon D. Head-to-head comparison of Xpert MTB/RIF with real-time polymerase chain reaction assay in bronchial washing specimens. Tuberc Respir Dis (Seoul) 2021; 85:89-95. [PMID: 34727491 PMCID: PMC8743642 DOI: 10.4046/trd.2021.0100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 11/02/2021] [Indexed: 11/24/2022] Open
Abstract
Background With the introduction of Xpert MTB/RIF assay (Xpert), its incorporation into tuberculosis (TB) diagnostic algorithm has become an important issue. The aim of this study was to evaluate the performance of the Xpert assay in comparison with a commercial polymerase chain reaction (PCR) assay. Methods Medical records of patients having results of both Xpert and AdvanSure TB/NTM real-time PCR (AdvanSure) assays using the same bronchial washing specimens were retrospectively reviewed. Results Of the 1,297 patients included in this study, 205 (15.8%) were diagnosed with pulmonary TB. Using mycobacterial culture as the reference method, sensitivity of the Xpert assay using smear-positive specimens was 97.5%, which was comparable to that of the AdvanSure assay (96.3%, p=0.193). However, the sensitivity of the Xpert assay using smear-negative specimens was 70.6%, which was significantly higher than that of the AdvanSure assay (52.9%, p=0.018). Usng phenotypic drug susceptibility testing as the reference method, sensitivity and specificity for detecting rifampicin resistance were 100% and 99.1%, respectively. Moreover, a median turnaround time of the Xpert assay was 1 day, which was significantly shorter than 3 days of the AdvanSure assay (p<0.001). Conclusion In comparison with the AdvanSure assay, the Xpert assay had a higher sensitivity using smear-negative specimens, a shorter turnaround time, and could reliably predict rifampin resistance. Therefore, the Xpert assay might be preferentially recommended over TB-PCR in Korean TB diagnostic algorithm.
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Affiliation(s)
- Eunjeong Son
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Jinook Jang
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Taehwa Kim
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Jin Ho Jang
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Jae Heun Chung
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Hee Yun Seol
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Hye Ju Yeo
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Seong Hoon Yoon
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Seung Eun Lee
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Woo Hyun Cho
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Yun Seong Kim
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Doosoo Jeon
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, South Korea
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Chan TH, Huang CS, Tu C, Jou R. Bovine tuberculosis in Taiwan, 2008-2019. Transbound Emerg Dis 2021; 69:e814-e822. [PMID: 34724711 DOI: 10.1111/tbed.14371] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/22/2021] [Accepted: 10/14/2021] [Indexed: 11/29/2022]
Abstract
Bovine tuberculosis (bTB) is a zoonosis caused by Mycobacterium bovis. The impact of bTB on global TB control has been underestimated. We adopted the One Health approach to human bTB surveillance in Taiwan. Of 20,972 human TB cases, 202 (1.0%) were bTB, 78.2% were in males, 85.1% were new cases, 83.2% were pulmonary TB, and most were in Central (52.5%) and Southern (24.8%) Taiwan. Only 18.8% of bTB patients had known animal contact. Of the 202 human M. bovis strains, 100% were resistant to pyrazinamide (PZA), 30.2% were concurrently resistant to isoniazid (INH) and 2.0% were multidrug resistant, defined as being resistant to at least INH and rifampin. Whereas, of the 22 animal M. bovis strains, 100% and 22.7% were resistant to PZA and INH, respectively. Seven spoligotypes and 25 mycobacterial interspersed repetitive unit genotypes were identified. The predominant genotype, SB0265, was also prevalent in livestock. Notably, six animal-specific M. bovis genotypes were identified. bTB differential diagnosis and drug resistance detection are crucial for TB control. Comprehensive surveillance and human-animal interface investigations are needed.
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Affiliation(s)
- Tai-Hua Chan
- Tuberculosis Research Center, Taiwan Centers for Disease Control, Taipei, Taiwan, ROC.,Reference Laboratory of Mycobacteriology, Taiwan Centers for Disease Control, Taipei, Taiwan, ROC
| | - Chun-Sheng Huang
- Animal Health Research Institute, Council of Agriculture, Executive Yuan, New Taipei City, Taiwan, ROC
| | - Chien Tu
- Animal Health Research Institute, Council of Agriculture, Executive Yuan, New Taipei City, Taiwan, ROC
| | - Ruwen Jou
- Tuberculosis Research Center, Taiwan Centers for Disease Control, Taipei, Taiwan, ROC.,Reference Laboratory of Mycobacteriology, Taiwan Centers for Disease Control, Taipei, Taiwan, ROC.,Institute of Microbiology and Immunology, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
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Van Rie A, Whitfield MG, De Vos E, Scott L, Da Silva P, Hayes C, Heupink TH, Sirgel FA, Stevens W, Warren RM. Discordances between molecular assays for rifampicin resistance in Mycobacterium tuberculosis: frequency, mechanisms and clinical impact. J Antimicrob Chemother 2021; 75:1123-1129. [PMID: 32016320 DOI: 10.1093/jac/dkz564] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Revised: 12/16/2019] [Accepted: 12/19/2019] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Molecular assays are endorsed for detection and confirmation of rifampicin-resistant TB. The frequency, causal mechanisms and impact of discordant results between molecular tests are not well understood. METHODS The prevalence of discordant results was determined by pairwise comparison of molecular test results in a cohort of 749 rifampicin-resistant TB patients in three South African provinces. Culture isolates were sent to a research laboratory for WGS and rifampicin MIC determination. Clinical information was collected through medical file review. RESULTS The prevalence of discordances between Xpert MTB/RIF and MTBDRplus was 14.5% (95% CI 10.9%-18.9%), 5.6% (95% CI 2.2%-13.4%) between two consecutive Xpert assays and 4.2% (95% CI 2.2%-7.8%) between two consecutive MTBDRplus assays. Likely mechanisms of discordances were false rifampicin susceptibility on MTBDRplus (due to variants not included in mutant probes or heteroresistance with loss of minor variants in culture), false resistance on molecular assay in rifampicin-susceptible isolates, and human error. The healthcare worker changed the treatment regimen in 33% of patients with discordant results and requested 232 additional molecular tests after a first confirmatory test was performed in 460 patients. A follow-up Xpert assay would give the healthcare worker the 'true' rifampicin-resistant TB diagnosis in at least 73% of discordant cases. CONCLUSIONS The high rate of discordant results between Xpert and MTBDRplus has important implications for the laboratory, clinician and patient. While root causes for discordant result are multiple, a follow-up Xpert assay could guide healthcare workers to the correct treatment in most patients.
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Affiliation(s)
- Annelies Van Rie
- Department of Epidemiology and Social Medicine, Faculty of Medicine, University of Antwerp, Antwerp, Belgium
| | - Michael G Whitfield
- Department of Epidemiology and Social Medicine, Faculty of Medicine, University of Antwerp, Antwerp, Belgium.,South African Medical Research Council Centre for Tuberculosis Research/DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Stellenbosch, South Africa
| | - Elise De Vos
- Department of Epidemiology and Social Medicine, Faculty of Medicine, University of Antwerp, Antwerp, Belgium
| | - Lesley Scott
- Department of Molecular Medicine and Haematology, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Pedro Da Silva
- National Health Laboratory Services, Johannesburg, South Africa
| | - Cindy Hayes
- National Health Laboratory Services, Port Elizabeth, South Africa
| | - Tim H Heupink
- Department of Epidemiology and Social Medicine, Faculty of Medicine, University of Antwerp, Antwerp, Belgium
| | - Frederick A Sirgel
- South African Medical Research Council Centre for Tuberculosis Research/DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Stellenbosch, South Africa
| | - Wendy Stevens
- National Health Laboratory Services, Johannesburg, South Africa.,National Priority Program, National Health Laboratory Service, Johannesburg, South Africa
| | - Robin M Warren
- South African Medical Research Council Centre for Tuberculosis Research/DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Stellenbosch, South Africa
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Disputed rpoB Mutations in Mycobacterium tuberculosis and Tuberculosis Treatment Outcomes. Antimicrob Agents Chemother 2021; 65:e0157320. [PMID: 33846134 DOI: 10.1128/aac.01573-20] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Discordant results between genotypic drug susceptibility testing (gDST) and phenotypic DST (pDST) for Mycobacterium tuberculosis isolates with disputed (discordance between gDST and pDST results) mutations affect rifampin (RIF)-resistant (RR) and multidrug-resistant (MDR) tuberculosis (TB) treatments due to a lack of practical clinical guidelines. To investigate the role of disputed rpoB mutations in M. tuberculosis and TB treatment outcomes, initial isolates of 837 clinical RR- or MDR-TB cases confirmed during 2014 to 2018 were retested using agar-based RIF pDST and rpoB gene sequencing. MICs were determined for isolates with disputed rpoB mutations. Disputed rpoB mutations were identified in 77 (9.2%) M. tuberculosis isolates, including 50 (64.9%) and 14 (18.2%) phenotypically RIF- and rifabutin (RFB)-resistant isolates, respectively. The predominant single mutations were those encoding L533P (a change of L to P at position 533) (44.2%) and L511P (20.8%). Most of the isolates harboring mutations encoding L511P (87.5%), H526N (100%), D516Y (70.0%), and L533P (63.6%) had MICs of ≤1 mg/liter, whereas isolates harboring the mutation encoding H526L (75%) had a MIC of >1 mg/liter. Of the 63 cases with treatment outcomes available, 11 (17.5%) cases died, 1 (1.6%) case transferred out, and 51 (81%) cases had favorable outcomes, including 8 and 20 cases treated with standard-dose RIF- and RFB-containing regimens, respectively. Excluding cases that transferred out or received no or 1-day treatment, we observed statistically significant differences between the outcomes using active and inactive fluoroquinolones (FQs) (P = 0.008, odds ratio = 0.05 [95% confidence interval, 0.01 to 0.38]) in 57 cases (where active means a case susceptible to the drug and inactive means a case resistant to the drug or drug not used). We concluded that disputed rpoB mutations are not rare. Depending on the resources available, sequencing and/or MIC testing is recommended for better management of RR- and MDR-TB cases.
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Marimani M, AlOmar SY, Aldahmash B, Ahmad A, Stacey S, Duse A. Distinct epigenetic regulation in patients with multidrug-resistant TB-HIV co-infection and uninfected individuals. Mutat Res 2020; 821:111724. [PMID: 33070028 DOI: 10.1016/j.mrfmmm.2020.111724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 08/20/2020] [Accepted: 10/08/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Mycobacterium tuberculosis (Mtb) is an airborne pathogenic microorganism that causes tuberculosis (TB). This pathogen invades lung tissues causing pulmonary infections and disseminates into other host organs. The Bacillus Calmette-Guérin (BCG) vaccine is employed to provide immune protection against TB; however, its efficacy is dependent on the age, immune status and geographic location of vaccinated individuals. Advanced diagnostic approaches such as GeneXpert MTB/RIF® and line probe assays (LPAs) have allowed rapid detection of drug-resistant, multidrug-resistant (MDR) and extensively drug-resistant (XDR) Mtb strains. However, in sub-Saharan Africa, public and private health institutions are further burdened by the high prevalence of Human Immunodeficiency Virus (HIV), the causative agent of acquired immunodeficiency syndrome (AIDS) and TB co-infections across different age groups. Epigenetic mechanisms have been widely exploited by Mtb and HIV to bypass the host's innate and adaptive immune responses, leading to microbial proliferation and disease manifestation. In the current study, we investigated the impact of epigenetic mechanisms in regulating target gene expression in healthy and patients co-infected with MDR TB-HIV.
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Affiliation(s)
- Musa Marimani
- Department of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa
| | - Suliman Yousef AlOmar
- Doping Research Chair, Department of Zoology, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Badr Aldahmash
- Department of Zoology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
| | - Aijaz Ahmad
- Department of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa; Infectious Diseases, Charlotte Maxeke Johannesburg Academic Hospital, National Health Laboratory Service, Johannesburg, 2193, South Africa.
| | - Sarah Stacey
- Division of Pulmonology, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa
| | - Adriano Duse
- Department of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa; Infectious Diseases, Charlotte Maxeke Johannesburg Academic Hospital, National Health Laboratory Service, Johannesburg, 2193, South Africa
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Jeon D, Kang H, Kwon YS, Yim JJ, Shim TS. Impact of Molecular Drug Susceptibility Testing on the Time to Multidrug-resistant Tuberculosis Treatment Initiation. J Korean Med Sci 2020; 35:e284. [PMID: 32893517 PMCID: PMC7476798 DOI: 10.3346/jkms.2020.35.e284] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 07/10/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The purpose of this study was to evaluate the current status and trends in the coverage of molecular drug susceptibility testing (mDST), and the impact of mDST on the time to multidrug-resistant tuberculosis (MDR-TB) treatment initiation in Korea. METHODS We included confirmed rifampin-resistant (RR)/MDR-TB patients who submitted application forms for novel drug uses to the National TB Expert Review Committee from September 1, 2016 to November 30, 2019. We retrospectively reviewed their medical records. RESULTS Of the 621 MDR/RR-TB patients, mDST was performed in 442 (71.2%); Xpert MTB/RIF (Xpert) alone in 109 (17.6%), MTBDRplus line probe assay (LPA) alone in 199 (32.0%), and both Xpert and LPA in 134 (21.6%) patients. The coverage rate of mDST has gradually increased to 70% in 2015, 50.7% in 2016, 67.9% in 2017, 75.2% in 2018, and 79.4% in 2019 (P for trend < 0.001). Median time to MDR-TB treatment initiation was 35 days (interquartile range25-75 0-72), which has gradually decreased during the study period (P < 0.001). Independent predictors of shorter time to MDR-TB treatment initiation were retreatment case (adjusted hazard ratio [aHR], 1.30; 95% confidence interval [CI], 1.10-1.54), Xpert testing (aHR, 2.42; 95% CI, 2.03-2.88), and LPA testing (aHR, 1.83; 95% CI, 1.55-2.16). Transfer to another healthcare facility was inversely related to shorter time to treatment initiation (aHR, 0.74; 95% CI, 0.63-0.88). CONCLUSION mDST coverage is gradually increasing and contributes to reducing the time to MDR-TB treatment initiation. Further efforts are needed to achieve universal access to mDST and to properly integrate mDST into routine clinical practice.
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Affiliation(s)
- Doosoo Jeon
- Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Hyungseok Kang
- Department of Chest Medicine, Masan National Tuberculosis Hospital, Masan, Korea
| | - Yong Soo Kwon
- Department of Internal Medicine, Chonnam National University Hospital, Gwangju, Korea
| | - Jae Joon Yim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Tae Sun Shim
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
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11
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Performances and usefulness of Xpert MTB/RIF assay in low-incidence settings: not that bad? Eur J Clin Microbiol Infect Dis 2020; 39:1645-1649. [PMID: 32306143 DOI: 10.1007/s10096-020-03887-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 03/30/2020] [Indexed: 10/23/2022]
Abstract
Xpert MTB/RIF assay, a real-time PCR assay designed to detect Mycobacterium tuberculosis, has proven sensitive and specific when performed on respiratory samples in a high prevalence setting. However, it was suggested as less accurate in a low-incidence environment. We evaluated the accuracy of the Xpert for the diagnosis of tuberculosis (TB) on pulmonary and extrapulmonary samples in Geneva (Switzerland), where the prevalence of active TB is very low. From March 2009 to February 2013, the Xpert was performed on clinical samples. All specimens were also processed using auramine, AFB staining, and mycobacterial culture with both solid and liquid media. The accuracy of both microscopy and Xpert was determined retrospectively using cultures as the reference method. A total of 732 clinical specimens were processed with the Xpert. The Xpert had a high specificity (97.5%; 95% confidence interval (CI), 95.8-98.5%) and revealed much more sensitive (82.7%; 95% CI, 74.1-89.0%) than microscopy (55.5%; 95% CI, 45.7-64.8%) for the diagnosis of TB, with a high negative predictive value (96.8%; 95% CI, 95.0-98.0%). The advantage of PCR over microscopy was even more pronounced for extrapulmonary specimens (sensitivity of 70% (95% CI, 50.4-84.6%) compared with 23.3% (95% CI, 10.6-42.7%)). Despite the low prevalence of TB in Switzerland, results performance for respiratory samples was similar to that reported in high prevalence countries. The high negative predictive value is clinically helpful in our setting, where pulmonary TB needs to be reasonably ruled out. When considering extrapulmonary samples, microscopy performed poorly compared with Xpert. This study shows that the Xpert remains accurate and useful in a low-incidence setting.
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Mechal Y, Benaissa E, El Mrimar N, Benlahlou Y, Bssaibis F, Zegmout A, Chadli M, Malik YS, Touil N, Abid A, Maleb A, Elouennass M. Evaluation of GeneXpert MTB/RIF system performances in the diagnosis of extrapulmonary tuberculosis. BMC Infect Dis 2019; 19:1069. [PMID: 31856744 PMCID: PMC6924055 DOI: 10.1186/s12879-019-4687-7] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 12/08/2019] [Indexed: 02/08/2023] Open
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.
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Affiliation(s)
- Youness Mechal
- 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.
| | - Elmostafa Benaissa
- 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
| | - Nadia El Mrimar
- 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
| | - Yassine Benlahlou
- 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
| | - Fatna Bssaibis
- Department of Bacteriology, Mohammed V Military Teaching Hospital / Faculty of Medicine and Pharmacy (University Mohammed V), Rabat, Morocco
| | - Adil Zegmout
- Pneumology Department, Mohammed V University Hospital / Faculty of Medicine and Pharmacy (University Mohammed V), Rabat, Morocco
| | - Mariama Chadli
- Department of Bacteriology, Mohammed V Military Teaching Hospital / Faculty of Medicine and Pharmacy (University Mohammed V), Rabat, Morocco
| | - Yashpal S Malik
- Indian Veterinary Research Institute (IVRI), Bareilly, Uttar Pradesh, India
| | - Nadia Touil
- Research and Biosafety Laboratory, Mohammed V Military Teaching Hospital / Faculty of Medicine and Pharmacy (University Mohammed V), Rabat, Morocco
| | - Ahmed Abid
- Pneumology Department, Mohammed V University Hospital / Faculty of Medicine and Pharmacy (University Mohammed V), Rabat, Morocco
| | - Adil Maleb
- Laboratory of Microbiology, Mohammed VI University Hospital / Faculty of Medicine and Pharmacy (University Mohammed the first), Oujda, Morocco
| | - Mostafa Elouennass
- 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
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Zong K, Luo C, Zhou H, Jiang Y, Li S. Xpert MTB/RIF assay for the diagnosis of rifampicin resistance in different regions: a meta-analysis. BMC Microbiol 2019; 19:177. [PMID: 31382894 PMCID: PMC6683411 DOI: 10.1186/s12866-019-1516-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 06/17/2019] [Indexed: 01/08/2023] Open
Abstract
Background To estimate the diagnostic accuracy of Xpert MTB/RIF for rifampicin resistance in different regions, a meta-analysis was carried out. Methods Several databases were searched for relevant studies up to March 3, 2019. A bivariate random-effects model was used to estimate the diagnostic accuracy. Results We identified 97 studies involving 26,037 samples for the diagnosis of rifampicin resistance. The pooled sensitivity, specificity and AUC of Xpert MTB/RIF for rifampicin resistance detection were 0.93 (95% CI 0.90–0.95), 0.98 (95% CI 0.96–0.98) and 0.99 (95% CI 0.97–0.99), respectively. For different regions, the pooled sensitivity were 0.94(95% CI 0.89–0.97) and 0.92 (95% CI 0.88–0.94), the pooled specificity were 0.98 (95% CI 0.94–1.00) and 0.98 (95% CI 0.96–0.99), and the AUC were 0.99 (95% CI 0.98–1.00) and 0.99 (95% CI 0.97–0.99) in high and middle/low income countries, respectively. The pooled sensitivity were 0.91 (95% CI 0.87–0.94) and 0.91 (95% CI 0.86–0.94), the pooled specificity were 0.98 (95% CI 0.96–0.99) and 0.98 (95% CI 0.96–0.99), and the AUC were 0.98 (95% CI 0.97–0.99) and 0.99 (95% CI 0.97–0.99) in high TB burden and middle/low prevalence countries, respectively. Conclusions The diagnostic accuracy of Xpert MTB/RIF for rifampicin resistance detection was excellent.
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Affiliation(s)
- Kaican Zong
- Department of Respiratory Medicine, The Seventh People's Hospital of Chongqing, Chongqing, People's Republic of China
| | - Chen Luo
- Department of Respiratory Medicine, The Seventh People's Hospital of Chongqing, Chongqing, People's Republic of China
| | - Hui Zhou
- Department of Respiratory Medicine, The Seventh People's Hospital of Chongqing, Chongqing, People's Republic of China
| | - Yangzhi Jiang
- Department of Respiratory Medicine, The Seventh People's Hospital of Chongqing, Chongqing, People's Republic of China
| | - Shiying Li
- Department of Infectious Disease, The Second Affiliated Hospital, Chongqing Medical University, 74# Linjiang Road, Chongqing, 400010, People's Republic of China.
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Lee PH, Chan PC, Peng YT, Chu PW, Wu MH, Jou R, Yu MC, Lin CJ, Huang YW, Chien ST, Lee JJ, Chiang CY. Impact of universal drug susceptibility testing and effective management of multidrug-resistant tuberculosis in Taiwan. PLoS One 2019; 14:e0214792. [PMID: 30939150 PMCID: PMC6445419 DOI: 10.1371/journal.pone.0214792] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Accepted: 03/20/2019] [Indexed: 11/18/2022] Open
Abstract
Background The treatment outcomes of multidrug-resistant tuberculosis (MDR-TB) patients in the 1990s in Taiwan was not satisfactory. To strengthen programmatic management of drug-resistant tuberculosis (PMDT), Taiwan MDR-TB Consortium (TMTC) was established in 2007. We assess the performance and epidemiologic impact of TMTC. Methodology/Principle findings We analyzed the trends of proportion of TB cases with drug susceptibility testing, enrollment of MDR-TB patients into TMTC and outcomes of treatment of all MDR-TB patients in Taiwan from 2007–2016. We computed the trends of both incidence and prevalence of MDR-TB from 2007–2016. We assessed the trends of MDR-TB among both new and recurrent TB cases. The proportion of TB cases with drug susceptibility testing results increased from 24.2% in 2007 to 97.9% in 2016. Of the 1,452 MDR-TB patients who were eligible for TMTC care, 1,197 (82.4%) were enrolled in TMTC, in whom 82.9% had treatment success. MDR-TB incidence was 9.0 cases per million in 2007, which declined to 4.6 cases per million in 2016 (p<0.0001). MDR-TB prevalence decreased from 19.4 cases per million in 2007 to 8.4 cases per million in 2016 (p<0.0001). The proportion of MDR-TB among new TB cases decreased from 1.4% in 2010 to 1.0% in 2016 (p = 0.039); and that among recurrent TB cases from 9.0% in 2010 to 1.8% in 2016 (p<0.0001). Conclusions We concluded that effective PMDT have had a significant impact on the epidemic of drug-resistant TB in Taiwan.
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Affiliation(s)
- Pin-Hui Lee
- Taiwan Centers for Disease Control, Taipei, Taiwan
| | - Pei-Chun Chan
- Taiwan Centers for Disease Control, Taipei, Taiwan
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | | | - Po-Wei Chu
- Taiwan Centers for Disease Control, Taipei, Taiwan
| | - Mei-Hua Wu
- Taiwan Centers for Disease Control, Taipei, Taiwan
| | - Ruwen Jou
- Taiwan Centers for Disease Control, Taipei, Taiwan
| | - Ming-Chih Yu
- Division of Pulmonary Medicine, Department of Internal Medicine, Wanfang Hospital, Taipei Medical University, Taipei, Taiwan
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chou-Jui Lin
- Pulmonary and Critical Care Unit, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan
| | - Yi-Wen Huang
- Pulmonary and Critical Care Unit, Changhua Hospital, Ministry of Health and Welfare, Changhua, Taiwan
| | - Shun-Tien Chien
- Pulmonary and Critical Care Unit, Chest Hospital, Ministry of Health and Welfare, Tainan, Taiwan
| | - Jen-Jyh Lee
- Department of Internal Medicine, Buddhist Tzu Chi General Hospital, Tzu Chi University, Hualien, Taiwan
| | - Chen-Yuan Chiang
- Division of Pulmonary Medicine, Department of Internal Medicine, Wanfang Hospital, Taipei Medical University, Taipei, Taiwan
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- International Union Against Tuberculosis and Lung Disease, Paris, France
- * E-mail:
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