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Emergence of drug resistance in patients with tuberculosis cared for by the Indian health-care system: a dynamic modelling study.
Law, Stephanie; Piatek, Amy S; Vincent, Cheri; Oxlade, Olivia; Menzies, Dick.
Afiliação
  • Law S; Respiratory Epidemiology and Clinical Research Unit, Montreal Chest Institute, Montreal, QC, Canada; Department of Epidemiology & Biostatistics and McGill International TB Centre, McGill University, Montreal, QC, Canada.
  • Piatek AS; United States Agency for International Development, Washington DC, USA.
  • Vincent C; United States Agency for International Development, Washington DC, USA.
  • Oxlade O; Respiratory Epidemiology and Clinical Research Unit, Montreal Chest Institute, Montreal, QC, Canada; Department of Epidemiology & Biostatistics and McGill International TB Centre, McGill University, Montreal, QC, Canada.
  • Menzies D; Respiratory Epidemiology and Clinical Research Unit, Montreal Chest Institute, Montreal, QC, Canada; Department of Epidemiology & Biostatistics and McGill International TB Centre, McGill University, Montreal, QC, Canada. Electronic address: dick.menzies@mcgill.ca.
Lancet Public Health ; 2(1): e47-e55, 2017 01.
Article em En | MEDLINE | ID: mdl-29249480
ABSTRACT

BACKGROUND:

India has the highest number of patients with tuberculosis and multidrug-resistant tuberculosis in the world. We used a transmission model to project the emergence of drug resistance in India due to incorrect tuberculosis management practices in multiple sectors, including public and private providers, chemists, and non-allopathic practitioners.

METHODS:

We constructed a dynamic Markov model to represent India's tuberculosis epidemic, including a probabilistic framework reflecting complex treatment-seeking pathways. Underlying drug resistance and the acquisition of drug resistance during treatment were included. India-specific epidemiological data, including tuberculosis management practices, were obtained from published literature. Outcomes, which included annual risk of infection, incidence of new disease, prevalence of untreated tuberculosis, and tuberculosis-related mortality, were stratified by underlying drug resistance, as well as by health sector to understand how each sector contributes to the emergence of drug resistance.

FINDINGS:

If tuberculosis management practices across sectors in India remain unchanged over the next 20 years, we estimated a 47% increase in the incidence of isoniazid resistance, a 152% increase in multidrug-resistant tuberculosis incidence, a 242% increase in prevalent untreated multidrug-resistant tuberculosis, and a 275% increase in the risk of multidrug-resistant tuberculosis infection. By 2032, an estimated 85% of multidrug-resistant tuberculosis will be primary multidrug-resistant tuberculosis compared with only 15% in 2012. The public sector contributed 87% of acquired multidrug-resistant tuberculosis, related to irregular adherence; the remainder came from the private sector, related to treatment non-completion. Chemists and non-allopathic practitioners do not treat with rifampicin, but because of the high rates of inappropriate isoniazid-containing regimens, and treatment non-adherence, this would generate isoniazid resistance.

INTERPRETATION:

We predict a gradual transformation from the current epidemic of drug-susceptible tuberculosis to a drug-resistant epidemic. Evidence-based strategies to improve provider practices and patient adherence across health sectors are urgently needed to prevent this.

FUNDING:

United States Agency for International Development and the Canadian Institutes for Health Research.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tuberculose / Tuberculose Resistente a Múltiplos Medicamentos Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tuberculose / Tuberculose Resistente a Múltiplos Medicamentos Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2017 Tipo de documento: Article