Litcius/Paper detail

A linear positive association between high-sensitivity C-reactive protein and the prevalence of cardiovascular disease among individuals with diabetes

Yu Liu, Wei He, Yuan Ji, Qingjie Wang, Xun Li

2024BMC Cardiovascular Disorders10 citationsDOIOpen Access PDF

Abstract

To assess the correlation between high-sensitivity C-reactive protein (Hs-CRP) and the prevalence of cardiovascular disease (CVD) among individuals with diabetes. A total of 1,555 participants from the National Health and Nutrition Examination Survey were enrolled in this cross-sectional study after excluding individuals without diabetes and those who lacked data on Hs-CRP, diabetes and CVD. All participants were divided into four groups based on quartiles of Hs-CRP: Q1 (≤ 1.20 mg/L), Q2 (1.20–2.86 mg/L), Q3 (2.86–6.40 mg/L), and Q4 (> 6.40 mg/L). Logistic regression analysis, subgroup analysis and restricted cubic spline (RCS) analysis were used to evaluate the correlation between Hs-CRP and the prevalence of CVD in individuals with diabetes. In univariate logistic regression analysis, a higher level of Hs-CRP was associated with a higher prevalence of CVD (P < 0.05). In the multivariate logistic regression analysis adjusting for confounders, the correlation between Hs-CRP and the prevalence of CVD remained significant (Q3 vs. Q1, OR: 1.505, 95% CI: 1.056–2.147, P = 0.024; Q4 vs. Q1, OR: 1.711, 95% CI: 1.171–2.499, P = 0.006; log10(Hs-CRP), OR: 1.504, 95% CI: 1.168–1.935, P = 0.002). Further subgroup analysis showed that a higher Hs-CRP was independently associated with a higher prevalence of CVD in the < 60 years, male, non-hypertension and non-hypercholesterolemia subgroups (P < 0.05). Additionally, RCS analysis revealed a linear positive correlation between Hs-CRP and CVD prevalence (P for nonlinearity = 0.244). A higher level of Hs-CRP was closely related to a higher prevalence of CVD in people with diabetes.

Topics & Concepts

AngiologyMedicineDiabetes mellitusC-reactive proteinInternal medicineDiseaseCardiac surgeryEndocrinologyInflammationAdipokines, Inflammation, and Metabolic DiseasesInflammatory Biomarkers in Disease PrognosisNutrition and Health in Aging