Prevalence, treatment rates and control of dyslipidemia among diabetes patients in northern Nigeria: A cross-sectional, multicenter study.
NH, A., AE, U., GO, O., AG, B., MR, B., MA, G., GM, F., AS, M., MA, S., & VG, Z. (2026). Prevalence, treatment rates and control of dyslipidemia among diabetes patients in northern Nigeria: A cross-sectional, multicenter study.. PloS one. https://doi.org/10.1371/journal.pone.0346350
NH A, AE U, GO O, AG B, MR B, MA G, et al. Prevalence, treatment rates and control of dyslipidemia among diabetes patients in northern Nigeria: A cross-sectional, multicenter study.. PloS one. 2026; doi: 10.1371/journal.pone.0346350
NH A, AE U, GO O, et al. Prevalence, treatment rates and control of dyslipidemia among diabetes patients in northern Nigeria: A cross-sectional, multicenter study.[J]. PloS one. 2026. DOI: 10.1371/journal.pone.0346350.
@article{nh2026,
author = {Alkali NH and Uloko AE and Osaigbovo GO and Bakari AG and Bello MR and Garba MA and Fika GM and Muhammad AS and Saad MA and Zira VG},
title = {Prevalence, treatment rates and control of dyslipidemia among diabetes patients in northern Nigeria: A cross-sectional, multicenter study.},
journal = {PloS one},
year = {2026},
doi = {10.1371/journal.pone.0346350},
note = {PMID: 42555614},
}
TY - JOUR AU - Alkali NH AU - Uloko AE AU - Osaigbovo GO AU - Bakari AG AU - Bello MR AU - Garba MA AU - Fika GM AU - Muhammad AS AU - Saad MA AU - Zira VG TI - Prevalence, treatment rates and control of dyslipidemia among diabetes patients in northern Nigeria: A cross-sectional, multicenter study. T2 - PloS one PY - 2026 DO - 10.1371/journal.pone.0346350 AN - PMID:42555614 ER -
OBJECTIVES: Dyslipidemia is prevalent among Nigerians with diabetes mellitus (DM), but its treatment has not been well-studied. The objective of this study was to determine the prevalence, treatment rates and control of dyslipidemia among DM patients in northern Nigeria. METHODS: We conducted a multicenter, cross-sectional study of dyslipidemia in DM patients, and noted cardiovascular disease (CVD) risk factors, lipid-lowering treatments, body mass index, blood pressure, HbA1c, lipid profile, glomerular filtration rate and proteinuria. Outcome measures were the rate and treatment of dyslipidemia and attainment of low density lipoprotein cholesterol target for primary prevention of CVD. Binomial logistic regression was used to analyze associations between participant characteristics and dyslipidemia. Hosmer-Lemeshow goodness-of-fit test was used to evaluate the model fit. Statistical analysis was performed with the SPSS version 25 program. RESULTS: The study enrolled 403 participants (58.8% females), of whom 59.6% had dyslipidemia. Besides DM and dyslipidemia, other risk factors for CVD were hypertension (56.8%), obesity (52.6%), chronic kidney disease (36.5%), atrial fibrillation (7.9%), heart failure (5.0%), cigarette smoking (4.7%), excess alcohol use (2.0%), and previous CVD (14.4%). Logistic regression analysis showed dyslipidemia was significantly associated with female gender (odds ratio = 1.68, P = 0.029) and proteinuria (odds ratio = 2.26, P = 0.004). Among those with dyslipidemia, 51.3% took lipid-lowering treatments comprising statins (50.8%) and clofibrate (2.9%). None took other lipid-lowering treatments, and only 17.1% attained the target for primary prevention of CVD. CONCLUSION: Three-fifths of patients had dyslipidemia, but only a sixth attained the treatment target. Treatment for dyslipidemia included statins and fibrates, but not niacin, ezetimibe, bempedoic acid, icosapent ethyl, inclisiran or PCSK9 inhibitors recommended for those who failed intensive statin therapy. There is the need for better access to non-statin treatment and physician adherence to clinical practice guidelines.