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Wang MQ, Zheng YF, Hu YQ, Huang JX, Yuan ZX, Wu ZY, Huang LF, Tang CT, Zhang FY, Chen Y, He JK, Guo XG, Yan BM. Diagnostic accuracy of Xpert MTB/RIF Ultra for detecting pulmonary tuberculosis and rifampicin resistance: a systematic review and meta-analysis. Eur J Clin Microbiol Infect Dis 2025; 44:681-702. [PMID: 39754613 DOI: 10.1007/s10096-024-05032-1] [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: 10/05/2024] [Accepted: 12/21/2024] [Indexed: 01/06/2025]
Abstract
BACKGROUND Public health issues related to tuberculosis still exist. Because Xpert MTB/RIF Ultra is more effective than conventional TB diagnostic techniques are, it is now regarded as an emerging technology. The diagnostic accuracy of Xpert MTB/RIF Ultra for tuberculosis was assessed in this systematic study. METHODS We searched the PubMed, Cochrane, EMBASE, and Web of Science databases for pertinent literature published before January 18, 2024. The quality of the collected literature was assessed via Review Manager 5.3 software, which applies the quality assessment of diagnostic accuracy studies criteria. Using Metadisc 1.40 software, the sensitivity, specificity, and summary receiver operating characteristic curves were plotted and examined. Stata 12.0 was the program we utilized to assess publication bias in this investigation. The Prospero prospective register of systematic reviews included this study (reference number CRD42024569674). RESULTS Analysis of 187 fourfold tables from 72 studies revealed that Xpert MTB/RIF Ultra demonstrated an overall pooled sensitivity of 76% and specificity of 95% for detecting pulmonary tuberculosis. The positive likelihood ratio (PLR) was 14.91, and the negative likelihood ratio (NLR) was 0.23, with an area under the curve (AUC) of 0.9351 and a diagnostic odds ratio (DOR) of 73.39. For detecting rifampin resistance, the combined sensitivity and specificity were 94% and 97%, respectively. The pooled PLR was 24.94, the NLR was 0.07, and the DOR was 429.05. The area under the summary receiver operating characteristic (SROC) curve was 0.9868. CONCLUSION In conclusion, developing effective laboratory diagnostic tools for identifying Mycobacterium tuberculosis is essential for epidemiological research. This study demonstrated that Xpert MTB/RIF Ultra effectively diagnosed Mycobacterium tuberculosis infection, including pulmonary tuberculosis, as well as rifampin resistance, highlighting its potential as a valuable tool for both diagnosis and resistance detection.
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Affiliation(s)
- Man-Qing Wang
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China
- Department of Clinical Medicine, The First School of Clinical Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Ya-Fang Zheng
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China
- Department of Clinical Medicine, The Third School of Clinical Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Yu-Qi Hu
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China
- Department of Clinical Medicine, The Third School of Clinical Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Jin-Xia Huang
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China
- Department of Clinical Medicine, The Third School of Clinical Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Zi-Xin Yuan
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China
- Department of Clinical Medicine, The Third School of Clinical Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Zu-Yan Wu
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China
- Department of Clinical Medicine, The Third School of Clinical Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Lu-Fang Huang
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China
| | - Chu-Ting Tang
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China
- Department of Nutrition and Food Hygiene, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China
| | - Feng-Yi Zhang
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China
- Department of Clinical Medicine, The Third School of Clinical Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Yan Chen
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China
- Department of Clinical Medicine, The Sixth School of Clinical Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Jin-Ke He
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China
- Department of Clinical Medicine, The Third School of Clinical Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Xu-Guang Guo
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China.
- Department of Clinical Laboratory Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China.
- Department of Clinical Medicine, The Third School of Clinical Medicine, Guangzhou Medical University, Guangzhou, 511436, China.
- Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, King Med School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, 510000, China.
| | - Bao-Mei Yan
- Department of Ultrasound Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China.
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Segala FV, Nigussa W, Guido G, Kenate B, Facci E, Tsegaye A, Gulo B, Manenti F, Bobosha K, Cotugno S, Asmare AB, Cavallin F, Tilahun M, Miccio M, Abdissa A, Putoto G, Saracino A, Di Gennaro F. Active close contact investigation of tuberculosis through computer-aided detection and stool Xpert MTB/RIF among people living in Oromia Region, Ethiopia (CADOOL Study): protocol for a prospective, cross-sectional study. BMJ Open 2023; 13:e074968. [PMID: 38135314 DOI: 10.1136/bmjopen-2023-074968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2023] Open
Abstract
INTRODUCTION Pulmonary tuberculosis (TB) is an infectious disease with high incidence in low-income countries (LICs); it remains one of the infectious diseases with the highest mortality in the world, especially in LICs. It is crucial to recognise and diagnose TB as soon as possible, but microbiological tests on sputum are not always sensitive enough. New methods for an early diagnosis of TB are needed. In this study, we will investigate the role of two different tests to detect TB in Ethiopia (where the prevalence of TB is high): molecular search for TB in stool samples with Xpert assay and detection of pulmonary TB signs on chest X-rays with CAD4TB technology. METHODS AND ANALYSIS A prospective diagnostic test accuracy study during TB active contact investigation will be conducted. In the referral hospital in Southwest Shoa Zone, Oromia Region, Ethiopia, patients with pulmonary TB and a sputum sample positive for Mycobacterium tuberculosis and household contacts of at least 4 years of age will be enrolled, with a target sample size of 231 patients. Trained staff will label household contacts as 'possible TB' cases or not according to their symptoms; when TB is possible, a stool Xpert and computer-aided detection on chest X-ray will be performed, alongside standard diagnostic methods, assessing the diagnostic accuracy of CAD4TB compared with Xpert MTB/RIF during TB contact investigation and the accuracy of stool Xpert compared with sputum Xpert. ETHICS AND DISSEMINATION This study has been approved by the Oromia Health Bureau Research Ethics Committee (ref no BFO/MBTFH/1-16/100023). All information obtained will be kept confidential. Selected investigators will have access to data, while international partners will sign a dedicated data protection agreement. Eligible participants will receive brief information about the study before being asked to participate and they will provide written informed consent. Results will be disseminated through peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT05818059.
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Affiliation(s)
- Francesco Vladimiro Segala
- Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari Aldo Moro, Bari, Italy
| | | | | | - Birhanu Kenate
- Health Research Team, Oromia Regional Health Bureau, Addis Ababa, Ethiopia
| | - Enzo Facci
- St Luke Catholic Hospital, Wolisso, Ethiopia
| | - Ademe Tsegaye
- Doctors with Africa CUAMM, Addis Ababa Coordination Office, Addis Ababa, Ethiopia
| | | | | | - Kidist Bobosha
- Mycobacterial Diseases Research, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Sergio Cotugno
- Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari Aldo Moro, Bari, Italy
| | | | | | - Melaku Tilahun
- Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | | | | | | | - Annalisa Saracino
- Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari Aldo Moro, Bari, Italy
| | - Francesco Di Gennaro
- Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari Aldo Moro, Bari, Italy
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Segala FV, Papagni R, Cotugno S, De Vita E, Susini MC, Filippi V, Tulone O, Facci E, Lattanzio R, Marotta C, Manenti F, Bavaro DF, De Iaco G, Putoto G, Veronese N, Barbagallo M, Saracino A, Di Gennaro F. Stool Xpert MTB/RIF as a possible diagnostic alternative to sputum in Africa: a systematic review and meta-analysis. Front Public Health 2023; 11:1117709. [PMID: 37293615 PMCID: PMC10244509 DOI: 10.3389/fpubh.2023.1117709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 05/08/2023] [Indexed: 06/10/2023] Open
Abstract
INTRODUCTION Worldwide, COVID-19 pandemic lead to a large fall in the number of newly reported TB cases. In sub-Saharan Africa, microbiological diagnosis of TB is generally based on smear microscopy and Xpert MTB/RIF on sputum samples, but good quality sputum samples are often difficult to obtain, leading clinicians to rely on more invasive procedures for diagnosis. Aim of this study was to investigate pooled sensitivity and specificity of Xpert MTB/RIF on stool samples compared to respiratory microbiological reference standards in African countries. METHODS Four investigators independently searched PubMed, SCOPUS, and Web of Science until 12th October 2022, then screened titles and abstracts of all potentially eligible articles. The authors applied the eligibility criteria, considered the full texts. All the studies reported the data regarding true positive (TP), true negative (TN), false positive (FP) and false negative (FN). Risk of bias and applicability concerns were assessed with the Quadas-2 tool. RESULTS overall, among 130 papers initially screened, we evaluated 47 works, finally including 13 papers for a total of 2,352 participants, mainly children. The mean percentage of females was 49.6%, whilst the mean percentage of patients reporting HIV was 27.7%. Pooled sensitivity for Xpert MTB/RIF assay for detecting pulmonary tuberculosis was 68.2% (95%CI: 61.1-74.7%) even if characterized by a high heterogeneity (I2=53.7%). Specificity was almost 100% (99%, 95%CI: 97-100%; I2 = 45.7%). When divided for reference standard, in the six studies using sputum and nasogastric aspirate the accuracy was optimal (AUC = 0.99, SE = 0.02), whilst in the studies using only sputum for tuberculosis detection the AUC was 0.85 (with a SE = 0.16). The most common source of bias was exclusion of enrolled patients in the analysis. CONCLUSIONS Our study confirms that, in Africa, stool Xpert MTB/RIF may be a useful rule-in test for children above and below 5 years of age under evaluation for pulmonary tuberculosis. Sensitivity increased substantially when using both sputum and nasogastric aspirate as reference samples.
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Affiliation(s)
- Francesco Vladimiro Segala
- Department of Precision and Regenerative Medicine and Ionian Area, Clinic of Infectious Diseases, University of Bari, Bari, Italy
- Operational Research Unit, Doctors With Africa CUAMM, Padua, Italy
| | - Roberta Papagni
- Department of Precision and Regenerative Medicine and Ionian Area, Clinic of Infectious Diseases, University of Bari, Bari, Italy
| | - Sergio Cotugno
- Department of Precision and Regenerative Medicine and Ionian Area, Clinic of Infectious Diseases, University of Bari, Bari, Italy
| | - Elda De Vita
- Department of Precision and Regenerative Medicine and Ionian Area, Clinic of Infectious Diseases, University of Bari, Bari, Italy
| | | | | | - Ottavia Tulone
- Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, Palermo, Italy
| | - Enzo Facci
- Doctors With Africa CUAMM, Wolisso, Ethiopia
| | - Rossana Lattanzio
- Department of Precision and Regenerative Medicine and Ionian Area, Clinic of Infectious Diseases, University of Bari, Bari, Italy
| | - Claudia Marotta
- Operational Research Unit, Doctors With Africa CUAMM, Padua, Italy
| | | | - Davide Fiore Bavaro
- Department of Precision and Regenerative Medicine and Ionian Area, Clinic of Infectious Diseases, University of Bari, Bari, Italy
| | - Giuseppina De Iaco
- Department of Precision and Regenerative Medicine and Ionian Area, Clinic of Infectious Diseases, University of Bari, Bari, Italy
| | - Giovanni Putoto
- Operational Research Unit, Doctors With Africa CUAMM, Padua, Italy
| | - Nicola Veronese
- Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, Palermo, Italy
| | - Mario Barbagallo
- Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, Palermo, Italy
| | - Annalisa Saracino
- Department of Precision and Regenerative Medicine and Ionian Area, Clinic of Infectious Diseases, University of Bari, Bari, Italy
| | - Francesco Di Gennaro
- Department of Precision and Regenerative Medicine and Ionian Area, Clinic of Infectious Diseases, University of Bari, Bari, Italy
- Operational Research Unit, Doctors With Africa CUAMM, Padua, Italy
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