The MTB/MDR ELITe MGB® Kit: Performance Assessment for Pulmonary, Extra-Pulmonary, and Resistant Tuberculosis Diagnosis, and Integration in the Laboratory Workflow of a French Center.
Elisabeth HodilleCharlotte GenestetThomas DelqueLuna RuffelYvonne BenitoIsabelle FredenucciJean-Philippe RasigadeGérard LinaOana DumitrescuPublished in: Pathogens (Basel, Switzerland) (2021)
A rapid and reliable diagnostic for tuberculosis, including the detection of both rifampicin (RIF) and isoniazid (INH) resistance, is essential for appropriate patient care. Nucleic acid amplification tests are a fast alternative to methods based on Mycobacterium tuberculosis complex (MTB) cultures. Thus, the performance of the MDR/MTB ELITe MGB® Kit on the ELITe InGenius® platform was retrospectively evaluated for MTB detection on pulmonary and extra-pulmonary samples and for RIF/INH resistance detection on MTB strains. The sensitivity and specificity of the kit for MTB detection compared to the MTB culture were 80.0% and 100.0%, respectively. For the antimicrobial susceptibility prediction, the agreement with phenotypic antimicrobial susceptibility testing (AST) was 92.0%. For RIF, the sensitivity was 100.0% and the specificity was 95.5%. For INH, the sensitivity and specificity were 75.0% and 100.0%, respectively. A single RIF false-positive result was obtained for a strain with a low level of RIF resistance that was not detected by phenotypic AST, but carrying a rpoB L452P mutation. INH false-negative results (3) were due to mutations on the katG gene that were not probed by the test. Overall, the MTB/MDR ELITe MGB® Kit presents a strong performance for MTB detection and for the detection of both RIF and INH resistance, with an easy integration in laboratory workflow thanks to its fully automatized system.
Keyphrases
- pulmonary tuberculosis
- mycobacterium tuberculosis
- loop mediated isothermal amplification
- label free
- real time pcr
- nucleic acid
- pulmonary hypertension
- body composition
- multidrug resistant
- escherichia coli
- emergency department
- gene expression
- genome wide
- electronic health record
- transcription factor
- single cell
- copy number
- quantum dots