Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning

Author:

Dixit Avika,Freschi Luca,Vargas Roger,Gröschel Matthias I,Nakhoul MariaORCID,Tahseen Sabira,Alam S M Masud,Kamal S M Mostofa,Skrahina Alena,Basilio Ramon P,Lim Dodge R,Ismail NazirORCID,Farhat Maha R

Abstract

BackgroundGlobal tuberculosis (TB) drug resistance (DR) surveillance focuses on rifampicin. We examined the potential of public and surveillanceMycobacterium tuberculosis(Mtb) whole-genome sequencing (WGS) data, to generate expanded country-level resistance prevalence estimates (antibiograms) using in silico resistance prediction.MethodsWe curated and quality-controlledMtbWGS data. We used a validated random forest model to predict phenotypic resistance to 12 drugs and bias-corrected for model performance, outbreak sampling and rifampicin resistance oversampling. Validation leveraged a national DR survey conducted in South Africa.ResultsMtbisolates from 29 countries (n=19 149) met sequence quality criteria. Global marginal genotypic resistance among mono-resistant TB estimates overlapped with the South African DR survey, except for isoniazid, ethionamide and second-line injectables, which were underestimated (n=3134). Among multidrug resistant (MDR) TB (n=268), estimates overlapped for the fluoroquinolones but overestimated other drugs. Globally pooled mono-resistance to isoniazid was 10.9% (95% CI: 10.2-11.7%, n=14 012). Mono-levofloxacin resistance rates were highest in South Asia (Pakistan 3.4% (0.1–11%), n=111 and India 2.8% (0.08–9.4%), n=114). Given the recent interest in drugs enhancing ethionamide activity and their expected activity against isolates with resistance discordance between isoniazid and ethionamide, we measured this rate and found it to be high at 74.4% (IQR: 64.5–79.7%) of isoniazid-resistant isolates predicted to be ethionamide susceptible. The global susceptibility rate to pyrazinamide and levofloxacin among MDR was 15.1% (95% CI: 10.2-19.9%, n=3964).ConclusionsThis is the first attempt at globalMtbantibiogram estimation. DR prevalence inMtbcan be reliably estimated using public WGS and phenotypic resistance prediction for key antibiotics, but public WGS data demonstrates oversampling of isolates with higher resistance levels than MDR. Nevertheless, our results raise concerns about the empiric use of short-course fluoroquinolone regimens for drug-susceptible TB in South Asia and indicate underutilisation of ethionamide in MDR treatment.

Funder

Boston Children's Hospital

German Research Foundation

Bushrod H Campbell and Adah F Hall Charity Fund

Harvard Global Health Institute Burke Fellowship

National Science Foundation Graduate Research Fellowship

Publisher

BMJ

Reference40 articles.

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