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Meta-narrative review of molecular methods for diagnosis and monitoring of multidrug-resistant tuberculosis treatment in adults

Authors :
Peter M Mbelele
Sagal Y Mohamed
Elingarami Sauli
Emmanuel A Mpolya
Sayoki G Mfinanga
Kennedy K Addo
Scott K Heysell
Stellah G Mpagama
Source :
International Journal of Mycobacteriology, Vol 7, Iss 4, Pp 299-309 (2018)
Publication Year :
2018
Publisher :
Wolters Kluwer Medknow Publications, 2018.

Abstract

Early and accurate diagnosis and rigorous clinical and microbiological monitoring of multidrug-resistant tuberculosis (MDR-TB) treatment can curb morbidity and mortality. While others are still under evaluation, the World Health Organization has recommended few novel molecular methods for MDR-TB diagnosis only. We present current molecular methods for diagnosis and monitoring of MDR-TB treatment in TB-endemic settings. A systematic meta-narrative review was conducted according to the RAMESES recommendations. Electronic databases were searched for relevant articles published in English language from January 2013 to June 2018. Based on predefined criteria, two independent reviewers extracted the key messages from relevant articles. Disagreement between them was resolved through discussion and the involvement of a third reviewer, if needed. Key messages were synthesized to create the meta-narratives for method's accuracy, drug-susceptibility capability, and laboratory infrastructure required. We included 33 articles out of 1213 records retrieved, of which 16 (48%) and 12 (36%) were conducted in high- and low-TB-endemic settings, respectively. Xpert® MTB/RIF, GenoType MTBDRplus, GenoType MTBDRsl, FlouroType™ MTBDR, TB TaqMan® array card, and DNA sequencers can accurately guide effective treatment regimens. Molecular bacterial load assay quantifies mycobactericidal impact of these regimens. Although they present inherent advantages compared to the current standard of care, they carry important limitations to implementation and/or scale-up. Therefore, considerable effort must now be directed to implementation and health systems research to maximize these forecasted benefits for individual patient's health outcomes.

Details

Language :
English
ISSN :
22125531, 2212554X, and 84379995
Volume :
7
Issue :
4
Database :
Directory of Open Access Journals
Journal :
International Journal of Mycobacteriology
Publication Type :
Academic Journal
Accession number :
edsdoj.99cb044f231b4b7891b6fd7e84379995
Document Type :
article
Full Text :
https://doi.org/10.4103/ijmy.ijmy_135_18