Caught between infection and deficiency: The iron anaemia nexus in HIV-infected adults in Western Kenya

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dc.contributor.author Abonyo, Collins
dc.contributor.author Kiboi, Nathan G.
dc.contributor.author Shaviya, Nathan
dc.date.accessioned 2025-09-09T08:14:03Z
dc.date.available 2025-09-09T08:14:03Z
dc.date.issued 2025
dc.identifier.citation African journal of empirical research, volume 6, issue 3, pp. 848-860, 2025 en_US
dc.identifier.issn 2709-2607
dc.identifier.uri https://ajernet.net/ojs/index.php/ajernet/article/view/1171/820
dc.identifier.uri http://repository.seku.ac.ke/xmlui/handle/123456789/8153
dc.description https://doi.org/10.51867/ajernet.6.3.64 en_US
dc.description.abstract Anaemia remains a pervasive complication among people living with HIV (PLWHIV), with multifactorial origins that include poor antiretroviral therapy (ART) adherence, immune dysfunction, and iron dysregulation. This study investigated the interplay between nutritional status, immune markers, and iron biomarkers in contributing to anaemia and iron deficiency anaemia (IDA) in HIV-infected adults in Western Kenya. A cross-sectional study was conducted at Busia County Referral Hospital among 163 adults comprising HIV-infected ART-adherent (n = 47), ART-naive (n = 23), non-adherent (n = 42), and healthy control (n = 51) participants. Demographic, clinical, immunologic, and biochemical data were collected through interviews, physical measurements, and laboratory analyses. Iron indices (ferritin, serum iron, and transferrin), haemoglobinconcentration, CD4+ T cell counts, HIV viral load, and body mass index (BMI) were measured using standardized protocols. Group comparisons were performed using Kruskal-Wallis and chi-square tests. Binary logistic regression was used to assess predictors of IDA. The highest prevalence of anaemia(61.9%) and iron deficiency anaemia(65.4%) was observed among non-adherent individuals, followed by ART-naïve (52.2% and 50.0%) and adherent participants (36.2% and 17.6%). Haemoglobinconcentrations and iron levels were significantly lower (P <0.0001), while transferrin levels were elevated (P <0.0001) in ART non-adherent and naïve groups compared to controls. CD4+ T cell counts were markedly suppressed, and viral loads elevated in these groups, underscoring immune compromise. Logistic regression identified unsuppressed viral load (AOR = 10.83; P =0.023), CD4+ T cell count <500 cells/μL (AOR = 4.01; P =0.010), and elevated transferrin (AOR = 2.72; P =0.047) as independent predictors of IDA. The findings suggest that poor ART adherence exacerbates inflammation, impairs iron metabolism, and increases anaemiarisk. Integrating viral suppression, immune recovery, and iron biomarker monitoring in HIV care may improve early identification and management of IDA. Future studies should explore longitudinal trajectories of iron indices and anaemiain PLWHIV across different ART regimens. en_US
dc.language.iso en en_US
dc.subject Anaemia en_US
dc.subject Iron Deficiency en_US
dc.subject ART Adherence en_US
dc.subject CD4+ T cellCount en_US
dc.subject HIV en_US
dc.subject Ferritin en_US
dc.subject Transferrin en_US
dc.subject Viral Load en_US
dc.subject Western Kenya en_US
dc.title Caught between infection and deficiency: The iron anaemia nexus in HIV-infected adults in Western Kenya en_US
dc.type Article en_US


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