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BMI as a predictor of progression from TB infection to active TB in PLHIV

  • D. Nguenha
  • , F. Ndebele
  • , B. Saavedra
  • , E. Mambuque
  • , S. Acácio
  • , V. Cárdenas
  • , V. Chihota
  • , A. Grant
  • , G. Yimer
  • , K. Fielding
  • , F. Cobelens
  • , G. Churchyard
  • , A. L. Garcia-Basteiro
  • Centro de investigação de Saúde de Manhiça
  • Aurum Institute for Health Research
  • London School of Hygiene and Tropical Medicine
  • Global One Health Eastern Africa Office
  • Amsterdam Institute for Global Health and Development

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

BACKGROUND: Low body mass index (BMI) is a globally important risk factor for TB progression. Little is known about this association in people living with HIV (PLHIV) and the functional form of the BMI-TB incidence curve. METHODS: Secondary analysis of a randomised controlled trial of TB preventive therapy among PLHIV in South Africa, Mozambique, and Ethiopia. Participants received 3 months of weekly high-dose rifapentine-isoniazid given once or twice over a period of 2 years. Multivariable fractional polynomials (MFPs) were used to investigate functional forms of BMI. Time to incident TB was modelled using Cox’s proportional hazard regression. RESULTS: A total of 76 TB events were documented, giving an overall TB incidence rate of 1.2 per 100 person-years (95%CI 1.0–1.6). Baseline BMI ,18.5 kg/m2 was associated with a 2.6-fold increased hazard of TB compared with BMI 18.5–24.9 kg/m2 (aHR 2.6, 95% CI 1.4–4.8, P , 0.001). BMI ≥30 kg/m2 was associated with a lower hazard of TB (aHR 0.5, 95% CI 0.2–1.0). Continuous and categorical BMI showed weak evidence of quadratic dose-response relationships (P ¼ 0.08 and P ¼ 0.09, respectively). MFP analysis was consistent with a decline in TB incidence for increasing BMI to around 25 kg/m2, followed by a less steep decline in TB incidence for increasing BMI .25 kg/m2. CONCLUSIONS: In PLHIV, BMI showed an inverse log-linear association with TB incidence. The MFP approach showed that the relationship is more complex than a simple log-linear association.

Original languageEnglish
Pages (from-to)54-59
Number of pages6
Journalinternational journal of tuberculosis and lung disease
Volume29
Issue number2
DOIs
Publication statusPublished - 1 Feb 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • BMI
  • PLHIV
  • TB infection
  • fractional polynomials

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