Literature DB >> 35508741

Evaluating the efficacy of stool sample on Xpert MTB/RIF Ultra and its comparison with other sample types by meta-analysis for TB diagnostics.

Vishal Sharma1, Anoop Singh1, Mohita Gaur1, Deepti Rawat1, Anjali Yadav1, Chanchal Kumar2, Mandira Varma-Basil2, Sheelu Lohiya3, Vishal Khanna3, Ashwani Khanna4, Anil Chaudhry5, Yogendra Singh6, Richa Misra7,8.   

Abstract

Precise and timely detection of tuberculosis (TB) is crucial to reduce transmission. This study aims to assess the accuracy of Xpert MTB/RIF Ultra on stool samples and systematically review the performance of Xpert MTB/RIF Ultra with different sample types by meta-analysis. Stool samples of smear-negative pulmonary TB (PTB), cervical lymph node TB, and abdominal TB patients were tested on the Xpert MTB/RIF Ultra system. Meta-analysis was performed on a set of 44 studies. Data were grouped by sample type, and the pooled sensitivity and specificity of Xpert MTB/RIF Ultra were calculated. The sensitivity of Xpert MTB/RIF Ultra with stool samples was 100% for smear-negative PTB, 27.27% for cervical lymph node TB, and 50% for abdominal TB patients, with 100% specificity for all included TB groups. The summary estimate for all PTB samples showed 84.2% sensitivity and 94.5% specificity, and EPTB samples showed 88.6% sensitivity and 96.4% specificity. Among all sample types included in our meta-analysis, urine showed the best performance for EPTB diagnosis. This pilot study supports the use of stool as an alternative non-invasive sample on Xpert MTB/RIF Ultra for rapid testing, suitable for both PTB and EPTB diagnosis.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Abdominal TB; Cervical lymph node TB; Extra-pulmonary tuberculosis; Meta-analysis; Pulmonary tuberculosis; Stool; Xpert MTB/RIF Ultra

Mesh:

Substances:

Year:  2022        PMID: 35508741     DOI: 10.1007/s10096-022-04449-w

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


  43 in total

1.  Evaluation of the Xpert MTB/RIF Ultra Assay for Direct Detection of Mycobacterium tuberculosis Complex in Smear-Negative Extrapulmonary Samples.

Authors:  Daniel Perez-Risco; David Rodriguez-Temporal; Ivan Valledor-Sanchez; Fernando Alcaide
Journal:  J Clin Microbiol       Date:  2018-08-27       Impact factor: 5.948

2.  Stool-based Xpert MTB/RIF Ultra assay as a tool for detecting pulmonary tuberculosis in children with abnormal chest imaging: A prospective cohort study.

Authors:  Xu-Hui Liu; Lu Xia; Bin Song; Heng Wang; Xue-Qin Qian; Jian-Hao Wei; Tao Li; Xiu-Hong Xi; Yuan-Lin Song; Shan-Qun Li; Douglas B Lowrie; Xiao-Yong Fan; Shui-Hua Lu
Journal:  J Infect       Date:  2020-12-01       Impact factor: 6.072

Review 3.  Advances in diagnosis of Tuberculosis: an update into molecular diagnosis of Mycobacterium tuberculosis.

Authors:  Bodhraj Acharya; Ashma Acharya; Sanjay Gautam; Sagar Prasad Ghimire; Gokul Mishra; Navin Parajuli; Bishwa Sapkota
Journal:  Mol Biol Rep       Date:  2020-04-04       Impact factor: 2.316

Review 4.  The role of DOTS in tuberculosis treatment and control.

Authors:  Peter D O Davies
Journal:  Am J Respir Med       Date:  2003

5.  Performance of Xpert MTB/RIF, Xpert Ultra, and Abbott RealTime MTB for Diagnosis of Pulmonary Tuberculosis in a High-HIV-Burden Setting.

Authors:  Wendy Stevens; Lesley Scott; Rebecca H Berhanu; Anura David; Pedro da Silva; Kate Shearer; Ian Sanne
Journal:  J Clin Microbiol       Date:  2018-11-27       Impact factor: 5.948

6.  App-based symptoms screening with Xpert MTB/RIF Ultra assay used for active tuberculosis detection in migrants at point of arrivals in Italy: The E-DETECT TB intervention analysis.

Authors:  Lucia Barcellini; Emanuele Borroni; Claudia Cimaglia; Enrico Girardi; Alberto Matteelli; Valentina Marchese; Giovanna Stancanelli; Ibrahim Abubakar; Daniela Maria Cirillo
Journal:  PLoS One       Date:  2019-07-01       Impact factor: 3.240

7.  Diagnostic Accuracy of Stool Xpert MTB/RIF for Detection of Pulmonary Tuberculosis in Children: a Systematic Review and Meta-analysis.

Authors:  Emily MacLean; Giorgia Sulis; Claudia M Denkinger; James C Johnston; Madhukar Pai; Faiz Ahmad Khan
Journal:  J Clin Microbiol       Date:  2019-05-24       Impact factor: 5.948

8.  Xpert Ultra Assay on Stool to Diagnose Pulmonary Tuberculosis in Children.

Authors:  Senjuti Kabir; S M Mazidur Rahman; Shakil Ahmed; Md Shamiul Islam; Rupali Sisir Banu; Hemant Deepak Shewade; Pruthu Thekkur; Sayeeda Anwar; Nazneen Akhter Banu; Rumana Nasrin; Mohammad Khaja Mafij Uddin; Sabrina Choudhury; Shahriar Ahmed; Kishor Kumar Paul; Razia Khatun; Mohammod Jobayer Chisti; Sayera Banu
Journal:  Clin Infect Dis       Date:  2021-07-15       Impact factor: 9.079

9.  The New Xpert MTB/RIF Ultra: Improving Detection of Mycobacterium tuberculosis and Resistance to Rifampin in an Assay Suitable for Point-of-Care Testing.

Authors:  Soumitesh Chakravorty; Ann Marie Simmons; Mazhgan Rowneki; Heta Parmar; Yuan Cao; Jamie Ryan; Padmapriya P Banada; Srinidhi Deshpande; Shubhada Shenai; Alexander Gall; Jennifer Glass; Barry Krieswirth; Samuel G Schumacher; Pamela Nabeta; Nestani Tukvadze; Camilla Rodrigues; Alena Skrahina; Elisa Tagliani; Daniela M Cirillo; Amy Davidow; Claudia M Denkinger; David Persing; Robert Kwiatkowski; Martin Jones; David Alland
Journal:  mBio       Date:  2017-08-29       Impact factor: 7.867

10.  Comparison of culture, microscopic smear and molecular methods in diagnosis of tuberculosis.

Authors:  I Afsar; M Gunes; H Er; A Gamze Sener
Journal:  Rev Esp Quimioter       Date:  2018-09-19       Impact factor: 1.553

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