Mycobacterium tuberculosis complex whole-genome sequencing in New York State: Implementation of a reduced phenotypic drug susceptibility testing algorithm.
Algorithm
Bioinformatic pipeline
Molecular DST
Mycobacterium tuberculosis
Phenotypic DST
Prediction of resistance
Susceptibility
Whole genome sequencing
Journal
Tuberculosis (Edinburgh, Scotland)
ISSN: 1873-281X
Titre abrégé: Tuberculosis (Edinb)
Pays: Scotland
ID NLM: 100971555
Informations de publication
Date de publication:
09 2023
09 2023
Historique:
received:
19
05
2023
revised:
14
07
2023
accepted:
17
07
2023
medline:
11
9
2023
pubmed:
6
8
2023
entrez:
5
8
2023
Statut:
ppublish
Résumé
Whole-genome sequencing (WGS) can predict drug resistance and antimicrobial susceptibility in Mycobacterium tuberculosis complex (MTBC) and has shown promise in partially replacing culture-based phenotypic drug susceptibility testing (pDST). We performed a two-year side by side study comparing the prediction of drug resistance and antimicrobial susceptibility by WGS molecular DST (mDST) to pDST to determine resistance at the critical concentration by Mycobacterial Growth Indicator Tube (MGIT) and agar proportion testing. Negative predictive values of WGS results were consistently high for the first-line drugs: rifampin (99.9%), isoniazid (99.0%), pyrazinamide (98.5%), and ethambutol (99.8%); the rates of resistance to these drugs, among strains in our population, are 2.9%, 10.4%, 46.3%, and 2.3%, respectively. WGS results were available an average 8 days earlier than first-line MGIT pDST. Based on these findings, we implemented a new testing algorithm with an updated WGS workflow in which strains predicted pan-susceptible were no longer tested by pDST. This algorithm was applied to 1177 isolates between October 2018 and September 2020, eliminating pDST for 66.6% of samples and reducing pDST for an additional 22.0%. This algorithm change resulted in faster turnaround times and decreased cost while maintaining comprehensive antimicrobial susceptibility profiles of all culture-positive MTBC cases in New York.
Identifiants
pubmed: 37543009
pii: S1472-9792(23)00078-1
doi: 10.1016/j.tube.2023.102380
pii:
doi:
Substances chimiques
Antitubercular Agents
0
Isoniazid
V83O1VOZ8L
Types de publication
Journal Article
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
102380Subventions
Organisme : OSELS CDC HHS
ID : U60 OE000103
Pays : United States
Informations de copyright
Published by Elsevier Ltd.