The utility of simple biomarkers of inflammation in the diagnosis of dyslipidaemia among patients with type 2 diabetes mellitus in the Ho Municipality: A cross sectional study

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This cross-sectional study assessed whether simple inflammatory biomarkers could discriminate dyslipidaemia among 193 adults with type 2 diabetes mellitus recruited at Ho Municipal Hospital in Ghana, using questionnaire data, anthropometry/blood pressure, fasting blood samples, and logistic regression and AUC analyses. Dyslipidaemia was highly prevalent (86.5%), and after adjustment, a unit increase in total white blood cell count was associated with higher odds of dyslipidaemia (OR 2.073, p=0.039), with total white blood cell count showing significant discrimination (AUROC 0.64, p=0.0195). A key caveat is that the diagnostic utility estimates are based on this single-cohort cross-sectional sample and do not establish causal direction. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract Background Type 2 diabetes mellitus (T2DM) is associated with dyslipidaemia and exaggerated immune response with high morbidity and mortality. However, the diagnostic capacity of simple inflammatory indicators to detect dyslipidaemia in T2DM is not fully explored. Aim The study aimed to assess the predictive ability of simple biomarkers of inflammation in the diagnosis of dyslipidaemia among patients with T2DM in the Ho municipality. Methodology: A cross-sectional study was conducted among 193 patients with T2DM conveniently recruited at the Ho Municipal Hospital. A questionnaire was administered to gather socio-demographic, lifestyle and clinical data. Anthropometry and blood pressures were measured. Fasting blood samples were obtained for full blood count, glucose and lipid assays. Cell line ratios reflecting various inflammation pathways were calculated. Dyslipidaemia was defined using National Cholesterol Education Program-Adult Treatment Panel III criteria. The diagnostic value of biomarkers were assessed based on logistic regression and area the under curve (AUC) analyses. Results The overall prevalence of dyslipidaemia was 167(86.5%; 95% CI: 81.0-90.6). A unit change in total white blood cell count was associated with 2.073 odds of developing dyslipidaemia (OR: 2.073: 95% CI: 1.037–4.144; p = 0.039) after adjustment for confounders. Total white blood cell counts significantly discriminated between respondents with dyslipidaemia and those without dyslipidaemia (AUROC: 0.64: 95% CI: 0.57–0.7; p = 0.0195). Conclusion The prevalence of dyslipidaemia is high among study participants. Total white blood cell count appears to be an important clinical tool for the diagnosis of dyslipidaemia in our study cohort. This highlights it’s utility as a potential biomarker for early detection and disease management.
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The utility of simple biomarkers of inflammation in the diagnosis of dyslipidaemia among patients with type 2 diabetes mellitus in the Ho Municipality: A cross sectional study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The utility of simple biomarkers of inflammation in the diagnosis of dyslipidaemia among patients with type 2 diabetes mellitus in the Ho Municipality: A cross sectional study Sylvester Yao Lokpo, Frederick Agbenatoe, Dominic Agbezuge, Samuel Ametepe, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6195133/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 12 You are reading this latest preprint version Abstract Background Type 2 diabetes mellitus (T2DM) is associated with dyslipidaemia and exaggerated immune response with high morbidity and mortality. However, the diagnostic capacity of simple inflammatory indicators to detect dyslipidaemia in T2DM is not fully explored. Aim The study aimed to assess the predictive ability of simple biomarkers of inflammation in the diagnosis of dyslipidaemia among patients with T2DM in the Ho municipality. Methodology: A cross-sectional study was conducted among 193 patients with T2DM conveniently recruited at the Ho Municipal Hospital. A questionnaire was administered to gather socio-demographic, lifestyle and clinical data. Anthropometry and blood pressures were measured. Fasting blood samples were obtained for full blood count, glucose and lipid assays. Cell line ratios reflecting various inflammation pathways were calculated. Dyslipidaemia was defined using National Cholesterol Education Program-Adult Treatment Panel III criteria. The diagnostic value of biomarkers were assessed based on logistic regression and area the under curve (AUC) analyses. Results The overall prevalence of dyslipidaemia was 167(86.5%; 95% CI: 81.0-90.6). A unit change in total white blood cell count was associated with 2.073 odds of developing dyslipidaemia (OR: 2.073: 95% CI: 1.037–4.144; p = 0.039) after adjustment for confounders. Total white blood cell counts significantly discriminated between respondents with dyslipidaemia and those without dyslipidaemia (AUROC: 0.64: 95% CI: 0.57–0.7; p = 0.0195). Conclusion The prevalence of dyslipidaemia is high among study participants. Total white blood cell count appears to be an important clinical tool for the diagnosis of dyslipidaemia in our study cohort. This highlights it’s utility as a potential biomarker for early detection and disease management. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 15 Apr, 2025 Reviews received at journal 14 Apr, 2025 Reviews received at journal 14 Apr, 2025 Reviews received at journal 07 Apr, 2025 Reviewers agreed at journal 07 Apr, 2025 Reviewers agreed at journal 06 Apr, 2025 Reviewers agreed at journal 03 Apr, 2025 Reviewers agreed at journal 02 Apr, 2025 Reviewers invited by journal 01 Apr, 2025 Editor assigned by journal 01 Apr, 2025 Submission checks completed at journal 30 Mar, 2025 First submitted to journal 30 Mar, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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