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

dc.contributor.authorNguenha, Dinis
dc.contributor.authorNdebele, Felex
dc.contributor.authorSaavedra, Belén
dc.contributor.authorMambuque, Edson
dc.contributor.authorAcácio, Sozinho
dc.contributor.authorCardenas, Vicky
dc.contributor.authorChihota, Violet
dc.contributor.authorGrant, Alison
dc.contributor.authorYimer, Getnet
dc.contributor.authorFielding, Katherine
dc.contributor.authorCobelens, Frank
dc.contributor.authorChurchyard, Gavin
dc.contributor.authorGarcía-Basteiro, Alberto L.
dc.date.accessioned2026-03-17T14:40:42Z
dc.date.available2026-03-17T14:40:42Z
dc.date.issued2025-02-01
dc.date.updated2026-02-24T08:47:56Z
dc.description.abstractBACKGROUND: 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 = 30 kg/m(2) 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 = 0.08 and P = 0.09, respectively). MFP analysis was consistent with a decline in TB incidence for increasing BMI to around 25 kg/m(2), followed by a less steep decline in TB incidence for increasing BMI >25 kg/m(2). 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.
dc.format.extent16 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idimarina10178295
dc.identifier.issn1815-7920
dc.identifier.pmid39891332
dc.identifier.urihttps://hdl.handle.net/2445/228194
dc.language.isoeng
dc.publisherInternational Union Against Tuberculosis and Lung Disease
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.5588/ijtld.24.0287
dc.relation.ispartofInternational Journal of Tuberculosis and Lung Disease, 2025, vol. 29, num. 2, p. 54-59
dc.relation.urihttps://doi.org/10.5588/ijtld.24.0287
dc.rights(c) International Union Against Tuberculosis and Lung Disease, 2025
dc.sourceArticles publicats en revistes (ISGlobal)
dc.subject.classificationTuberculosi
dc.subject.classificationDagaaba (Poble africà)
dc.subject.classificationVacuna de la malària
dc.subject.otherTuberculosis
dc.subject.otherDagaaba (African people)
dc.subject.otherMalaria vaccine
dc.titleBMI as a predictor of progression from TB infection to active TB in PLHIV
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion

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