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dc.contributor.authorBaluku, Joseph Baruch 
dc.contributor.authorNalwanga, Robinah 
dc.contributor.authorKazibwe, Andrew 
dc.contributor.author Olum, Ronald
dc.contributor.authorNuwagira, Edwin 
dc.contributor.author Mugenyi, Nathan
dc.contributor.authorMulindwa, Frank 
dc.contributor.author Bongomin, Felix
dc.date.accessioned2024-05-06T09:46:13Z
dc.date.available2024-05-06T09:46:13Z
dc.date.issued2024
dc.identifier.citationBaluku, J. B., Nalwanga, R., Kazibwe, A., Olum, R., Nuwagira, E., Mugenyi, N., ... & Bongomin, F. (2024). Association between biomarkers of inflammation and dyslipidemia in drug resistant tuberculosis in Uganda. Lipids in Health and Disease, 23(1), 65.en_US
dc.identifier.urihttp://ir.must.ac.ug/xmlui/handle/123456789/3635
dc.description.abstractBackground: Active tuberculosis (TB) significantly increases the risk of cardiovascular disease, but the underlying mechanisms remain unclear. This study aimed to investigate the association between inflammation biomarkers and dyslipidemia in patients with drug-resistant TB (DR-TB). Methods: This was a secondary analysis of data from a cross-sectional multi-center study in Uganda conducted 2021. Participants underwent anthropometric measurements and laboratory tests included a lipid profile, full haemogram and serology for HIV infection. Dyslipidemia was defined as total cholesterol > 5.0 mmol/l and/or lowdensity lipoprotein cholesterol > 4.14 mmol/l, and/or triglycerides (TG) ≥ 1.7 mmol/l, and/or high density lipoprotein cholesterol (HDL-c) < 1.03 mmol/l for men and < 1.29 mmol/l for women. Biomarkers of inflammation were leukocyte, neutrophil, lymphocyte, monocyte, and platelet counts, as well as neutrophil/lymphocyte (NLR), platelet/lymphocyte, and lymphocyte/monocyte (LMR) ratios, mean corpuscular volume (MCV), and the systemic immune inflammation index (SII) (neutrophil × platelet/lymphocyte). Modified Poisson Regression analysis was used for determining the association of the biomarkers and dyslipidemia. Results: Of 171 participants, 118 (69.0%) were co-infected with HIV. The prevalence of dyslipidemia was 70.2% (120/171) with low HDL-c (40.4%, 69/171) and hypertriglyceridemia (22.5%, 38/169) being the most common components. Patients with dyslipidemia had significantly higher lymphocyte (P = 0.008), monocyte (P < 0.001), and platelet counts (P = 0.014) in addition to a lower MCV (P < 0.001) than those without dyslipidemia. Further, patients with dyslipidemia had lower leucocyte (P < 0.001) and neutrophil (P = 0.001) counts, NLR (P = 0.008), LMR (P = 0.006), and SII (P = 0.049). The MCV was inversely associated with low HDL-C (adjusted prevalence ratio (aPR) = 0.97, 95% CI 0.94–0.99, P = 0.023) but was positively associated with hypertriglyceridemia (aPR = 1.04, 95% CI 1.00-1.08, P = 0.052). Conclusions: Individuals with dyslipidemia exhibited elevated lymphocyte, monocyte, and platelet counts compared to those without. However, only MCV demonstrated an independent association with specific components of dyslipidemia. There is need for further scientific inquiry into the potential impact of dyslipidemia on red cell morphology and a pro-thrombotic state among patients with TB.en_US
dc.language.isoen_USen_US
dc.publisherLipids in Health and Diseaseen_US
dc.subjectTuberculosisen_US
dc.subjectCholesterolen_US
dc.subjectInflammationen_US
dc.subjectDyslipidemiaen_US
dc.subjectPlateleten_US
dc.subjectMean corpuscular volumeen_US
dc.subjectMonocytesen_US
dc.subjectLymphocyteen_US
dc.subjectHIVen_US
dc.subjectHDLen_US
dc.titleAssociation between biomarkers of inflammation and dyslipidemia in drug resistant tuberculosis in Ugandaen_US
dc.typeArticleen_US


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