Literature DB >> 25378569

Evaluating the Auto-MODS assay, a novel tool for tuberculosis diagnosis for use in resource-limited settings.

Linwei Wang1, Sohaib H Mohammad1, Boonchai Chaiyasirinroje2, Qiaozhi Li1, Somsak Rienthong3, Dhanida Rienthong3, Supalert Nedsuwan4, Surakameth Mahasirimongkol5, Yutaka Yasui1.   

Abstract

There is an urgent need for simple, rapid, and affordable diagnostic tests for tuberculosis (TB) to combat the great burden of the disease in developing countries. The microscopic observation drug susceptibility assay (MODS) is a promising tool to fill this need, but it is not widely used due to concerns regarding its biosafety and efficiency. This study evaluated the automated MODS (Auto-MODS), which operates on principles similar to those of MODS but with several key modifications, making it an appealing alternative to MODS in resource-limited settings. In the operational setting of Chiang Rai, Thailand, we compared the performance of Auto-MODS with the gold standard liquid culture method in Thailand, mycobacterial growth indicator tube (MGIT) 960 plus the SD Bioline TB Ag MPT64 test, in terms of accuracy and efficiency in differentiating TB and non-TB samples as well as distinguishing TB and multidrug-resistant (MDR) TB samples. Sputum samples from clinically diagnosed TB and non-TB subjects across 17 hospitals in Chiang Rai were consecutively collected from May 2011 to September 2012. A total of 360 samples were available for evaluation, of which 221 (61.4%) were positive and 139 (38.6%) were negative for mycobacterial cultures according to MGIT 960. Of the 221 true-positive samples, Auto-MODS identified 212 as positive and 9 as negative (sensitivity, 95.9%; 95% confidence interval [CI], 92.4% to 98.1%). Of the 139 true-negative samples, Auto-MODS identified 135 as negative and 4 as positive (specificity, 97.1%; 95% CI, 92.8% to 99.2%). The median time to culture positivity was 10 days, with an interquartile range of 8 to 13 days for Auto-MODS. Auto-MODS is an effective and cost-sensitive alternative diagnostic tool for TB diagnosis in resource-limited settings.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2014        PMID: 25378569      PMCID: PMC4290917          DOI: 10.1128/JCM.01946-14

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  9 in total

1.  Future prospects for the MODS assay in multidrug-resistant tuberculosis diagnosis.

Authors:  David A J Moore
Journal:  Future Microbiol       Date:  2007-04       Impact factor: 3.165

2.  Cord formation in a clinical isolate of Mycobacterium marinum.

Authors:  John F Staropoli; John A Branda
Journal:  J Clin Microbiol       Date:  2008-06-25       Impact factor: 5.948

3.  Microscopic observation drug susceptibility (MODS): where are we going?

Authors:  Kai Man Kam
Journal:  Int J Tuberc Lung Dis       Date:  2014-02       Impact factor: 2.373

4.  Microscopic-observation drug-susceptibility assay for the diagnosis of TB.

Authors:  David A J Moore; Carlton A W Evans; Robert H Gilman; Luz Caviedes; Jorge Coronel; Aldo Vivar; Eduardo Sanchez; Yvette Piñedo; Juan Carlos Saravia; Cayo Salazar; Richard Oberhelman; Maria-Graciela Hollm-Delgado; Doris LaChira; A Roderick Escombe; Jon S Friedland
Journal:  N Engl J Med       Date:  2006-10-12       Impact factor: 91.245

5.  Development of an automated MODS plate reader to detect early growth of Mycobacterium tuberculosis.

Authors:  G Comina; D Mendoza; A Velazco; J Coronel; P Sheen; R H Gilman; D A J Moore; M Zimic
Journal:  J Microsc       Date:  2011-01-20       Impact factor: 1.758

6.  Rapid, efficient detection and drug susceptibility testing of Mycobacterium tuberculosis in sputum by microscopic observation of broth cultures. The Tuberculosis Working Group in Peru.

Authors:  L Caviedes; T S Lee; R H Gilman; P Sheen; E Spellman; E H Lee; D E Berg; S Montenegro-James
Journal:  J Clin Microbiol       Date:  2000-03       Impact factor: 5.948

7.  Evaluation of p-nitro benzoic acid (pnb) inhibition test to differentiate Mycobacterium tuberculosis complex from non-tuberculous mycobacteria using microscopic observation of drug susceptibility (MODS) methodology.

Authors:  A Agarwal; T N Dhole; Y K Sharma
Journal:  Indian J Tuberc       Date:  2014-07

8.  Evaluation of a Rapid Differentiation Test for Mycobacterium Tuberculosis from other Mycobacteria by Selective Inhibition with p-nitrobenzoic Acid using MGIT 960.

Authors:  Babita Sharma; Nita Pal; Bharti Malhotra; Leela Vyas
Journal:  J Lab Physicians       Date:  2010-07

9.  Morphological characterization of Mycobacterium tuberculosis in a MODS culture for an automatic diagnostics through pattern recognition.

Authors:  Alicia Alva; Fredy Aquino; Robert H Gilman; Carlos Olivares; David Requena; Andrés H Gutiérrez; Luz Caviedes; Jorge Coronel; Sandra Larson; Patricia Sheen; David A J Moore; Mirko Zimic
Journal:  PLoS One       Date:  2013-12-16       Impact factor: 3.240

  9 in total
  2 in total

1.  Performance of microscopic observation drug susceptibility for the rapid diagnosis of tuberculosis and detection of drug resistance in Bamako, Mali.

Authors:  M Sanogo; B Kone; B Diarra; M Maiga; B Baya; A M Somboro; Y S Sarro; A C G Togo; B P P Dembele; D Goita; A Kone; O M'Baye; N Coulibaly; S Diabate; B Traore; M H Diallo; Y I Coulibaly; P Saleeb; M Belson; S Orsega; S Siddiqui; M A Polis; S Dao; R L Murphy; S Diallo
Journal:  Clin Microbiol Infect       Date:  2017-01-18       Impact factor: 8.067

2.  Parallel Tests Using Culture, Xpert MTB/RIF, and SAT-TB in Sputum Plus Bronchial Alveolar Lavage Fluid Significantly Increase Diagnostic Performance of Smear-Negative Pulmonary Tuberculosis.

Authors:  Lin Fan; Danfeng Li; Shaojun Zhang; Lan Yao; Xiaohui Hao; Jin Gu; Hong Li; Jinxia Niu; Zhemin Zhang; Changtai Zhu
Journal:  Front Microbiol       Date:  2018-06-15       Impact factor: 5.640

  2 in total

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