Predictors of drug-resistant TB outcomes: Body mass index, HIV, and comorbidities

African Journal of Primary Health Care & Family Medicine

 
 
Field Value
 
Title Predictors of drug-resistant TB outcomes: Body mass index, HIV, and comorbidities
 
Creator Dlatu, Ntandazo Faye, Lindiwe M. Sineke, Ncomeka Apalata, Teke
 
Subject Faculty of Health Sciences; Department of Public Health treatment outcomes; DR-TB; BMI; XDR-TB; HIV; socioeconomic factors
Description Background: The success rates for treating drug-resistant tuberculosis (DR-TB) in programmatic settings have been unsatisfactory. By identifying the factors that predict treatment outcomes, we can implement effective corrective measures that will significantly enhance patient management and improve results for those with DR-TB.Aim: This study aimed to investigate predictive factors influencing treatment outcomes among DR-TB patients, focusing on the combined effects of body mass index (BMI), human immunodeficiency virus (HIV) status, comorbidities, socioeconomic factors, substance use and DR-TB type.Setting: The study was conducted in rural Eastern Cape, South Africa.Methods: This retrospective cohort study was designed to utilise logistic regression models on data from 200 patient medical records. We examined variables including BMI, HIV co-infection, comorbidities (e.g. diabetes, hypertension), income, substance use and DR-TB classifications (multidrug-resistant, rifampicin-resistant, pre-extensively drug-resistant, extensively drug-resistant).Results: Key findings indicate a weak association between lower BMI and reduced treatment success (odds ratio [OR]: 0.92, 95% confidence interval [CI]: 0.81–1.05). HIV-positive status was marginally associated with lower treatment success (OR: 0.89, 95% CI: 0.75–1.12), while income level and substance use emerged as stronger predictors (e.g. substance use OR: 0.72, 95% CI: 0.60–0.88). Among DR-TB types, extensively drug-resistant tuberculosis patients exhibited the poorest outcomes (OR: 0.55, 95% CI: 0.40–0.75). The multivariate model achieved an accuracy of 63.1%, suggesting limited predictive power of BMI and HIV alone and highlighting the significant influence of comorbidities, socioeconomic status and behavioural factors.Conclusion: These findings underscore the importance of a multidimensional approach in improving DR-TB treatment outcomes through tailored clinical and social interventions.Contribution: The study noted limited connections between DR-TB and various comorbidities. It highlights the necessity of managing coexisting conditions in DR-TB patients because of their significant impact on treatment outcomes. Customised interventions are essential for those with severe or complex comorbidities.
 
Publisher AOSIS
 
Contributor
Date 2025-10-01
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — Retrospective studies
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/phcfm.v17i1.4953
 
Source African Journal of Primary Health Care & Family Medicine; Vol 17, No 1 (2025); 7 pages 2071-2936 2071-2928
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://phcfm.org/index.php/phcfm/article/view/4953/8702 https://phcfm.org/index.php/phcfm/article/view/4953/8703 https://phcfm.org/index.php/phcfm/article/view/4953/8704 https://phcfm.org/index.php/phcfm/article/view/4953/8705
 
Coverage — 2018-2022 November Patient Records
Rights Copyright (c) 2025 Ntandazo Dlatu, Lindiwe M. Faye, Ncomeka Sineke, Teke Apalata https://creativecommons.org/licenses/by/4.0
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