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Prioritising attributes for tuberculosis preventive treatment regimens: a modelling analysis.
Vesga, Juan F; Lienhardt, Christian; Nsengiyumva, Placide; Campbell, Jonathon R; Oxlade, Olivia; den Boon, Saskia; Falzon, Dennis; Schwartzman, Kevin; Churchyard, Gavin; Arinaminpathy, Nimalan.
Afiliação
  • Vesga JF; Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College London, London, UK. juanovesga@gmail.com.
  • Lienhardt C; Institut de recherche pour le développement, Montpellier, France.
  • Nsengiyumva P; McGill International Tuberculosis Centre, McGill University, Montreal, Canada.
  • Campbell JR; McGill International Tuberculosis Centre, McGill University, Montreal, Canada.
  • Oxlade O; McGill International Tuberculosis Centre, McGill University, Montreal, Canada.
  • den Boon S; Global TB Programme, World Health Organization, Geneva, Switzerland.
  • Falzon D; Global TB Programme, World Health Organization, Geneva, Switzerland.
  • Schwartzman K; McGill International Tuberculosis Centre, McGill University, Montreal, Canada.
  • Churchyard G; The Aurum Institute, Parktown, South Africa.
  • Arinaminpathy N; School of Public Health, University of Witwatersrand, Johannesburg, South Africa.
BMC Med ; 20(1): 182, 2022 05 18.
Article em En | MEDLINE | ID: mdl-35581650
ABSTRACT

BACKGROUND:

Recent years have seen important improvements in available preventive treatment regimens for tuberculosis (TB), and research is ongoing to develop these further. To assist with the formulation of target product profiles for future regimens, we examined which regimen properties would be most influential in the epidemiological impact of preventive treatment.

METHODS:

Following expert consultation, we identified 5 regimen properties relevant to the incidence-reducing impact of a future preventive treatment regimen regimen duration, efficacy, ease-of-adherence (treatment completion rates in programmatic conditions), forgiveness to non-completion and the barrier to developing rifampicin resistance during treatment. For each regimen property, we elicited expert input for minimally acceptable and optimal (ideal-but-feasible) performance scenarios for future regimens. Using mathematical modelling, we then examined how each regimen property would influence the TB incidence reduction arising from full uptake of future regimens according to current WHO guidelines, in four countries South Africa, Kenya, India and Brazil.

RESULTS:

Of all regimen properties, efficacy is the single most important predictor of epidemiological impact, while ease-of-adherence plays an important secondary role. These results are qualitatively consistent across country settings; sensitivity analyses show that these results are also qualitatively robust to a range of model assumptions, including the mechanism of action of future preventive regimens.

CONCLUSIONS:

As preventive treatment regimens against TB continue to improve, understanding the key drivers of epidemiological impact can assist in guiding further development. By meeting these key targets, future preventive treatment regimens could play a critical role in global efforts to end TB.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tuberculose Tipo de estudo: Guideline / Incidence_studies / Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMC Med Assunto da revista: MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tuberculose Tipo de estudo: Guideline / Incidence_studies / Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMC Med Assunto da revista: MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido