Arnold, A;
Witney, AA;
Vergnano, S;
Roche, A;
Cosgrove, CA;
Houston, A;
Gould, KA;
Hinds, J;
Riley, P;
Macallan, D;
et al.
Arnold, A; Witney, AA; Vergnano, S; Roche, A; Cosgrove, CA; Houston, A; Gould, KA; Hinds, J; Riley, P; Macallan, D; Butcher, PD; Harrison, TS
(2016)
XDR-TB transmission in London: Case management and contact tracing investigation assisted by early whole genome sequencing.
Journal of Infection, 73 (3).
pp. 210-218.
ISSN 0163-4453
https://doi.org/10.1016/j.jinf.2016.04.037
SGUL Authors: Butcher, Philip David Hinds, Jason Witney, Adam Austin
Microsoft Word (.doc)
Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (72kB) |
Abstract
OBJECTIVES: We describe the first published cluster of extensively drug resistant Tuberculosis (XDR-TB) in the UK and show how early whole genome sequencing (WGS) of Mtb can assist in case management and contact investigations. METHODS: We describe the contact tracing investigation undertaken after the presentation of an adult with XDR-TB. Active cases were treated with an XDR-TB drug regimen and contacts underwent a programme of follow-up for 2 years. All isolates of Mycobacterium tuberculosis (Mtb) were assessed early using whole genome sequencing (WGS) as well as routine drug susceptibility testing (DST). RESULTS: Thirty-three contacts were screened. In the first year one confirmed and one probable case were identified through contact tracing. A further possible case was identified through epidemiological links. Two confirmed cases were identified through WGS 2 years later. Twenty-five (80%) contacts without evidence of tuberculosis were adherent to 1 year of follow-up and 14 (45%) were adherent to 2 years of follow-up. WGS of Mtb was used to guide drug choices, rapidly identify transmission events, and alter public health management. CONCLUSION: WGS of Mtb enabled rapid effective individualized treatment and facilitated public health interventions by early identification of transmission events.
Item Type: | Article | ||||||||
---|---|---|---|---|---|---|---|---|---|
Additional Information: | © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | ||||||||
Keywords: | Contact tracing, Disease outbreaks, Drug resistance, Pathology, molecular, Tuberculosis, Microbiology, 1103 Clinical Sciences | ||||||||
SGUL Research Institute / Research Centre: | Academic Structure > Infection and Immunity Research Institute (INII) | ||||||||
Journal or Publication Title: | Journal of Infection | ||||||||
ISSN: | 0163-4453 | ||||||||
Language: | ENG | ||||||||
Dates: |
|
||||||||
Publisher License: | Creative Commons: Attribution-Noncommercial-No Derivative Works 3.0 | ||||||||
PubMed ID: | 27311749 | ||||||||
Go to PubMed abstract | |||||||||
URI: | https://openaccess.sgul.ac.uk/id/eprint/108016 | ||||||||
Publisher's version: | https://doi.org/10.1016/j.jinf.2016.04.037 |
Statistics
Actions (login required)
Edit Item |