Objective:To investigate the mediating effect of inflammatory factors in the association between low density lipoprotein-cholesterol(LDL-C) and thyroid associated ophthalmopathy(TAO).Methods:This study was a prospective study, which icluded a total of 86 patients with Graves′ disease who attended the Department of Endocrinology of the First Affiliated Hospital of Zhengzhou University from January 2021 to June 2022. Among them, there were 56 patients with Graves′ disease accompanied by TAO, including 30 cases in the inactive group and 26 in the active group. Additionally, there were 30 cases having Graves′ disease alone. The relationship between LDL-C, inflammatory factors, and the onset and activity of TAO were analyzed using binary logistic regression. Mediation analysis was used to explore the mediating effect of inflammatory factors in the association between LDL-C and TAO onset and activity.Results:Interleukin(IL) -6 was a potential mediator that linking the association between LDL-C and TAO onset: LDL-C had a direct effect on TAO(Total effect value=0.274, 95% CI 0.161-0.386), while IL-6(mediated effect=0.067, 95% CI 0.011-0.123) and IL-17(mediated effect=0.042, 95% CI 0.007-0.077) partially mediated the effect of LDL-C on TAO, accounting for 24.45% and 15.33% of the total effect, respectively. IL-6 was a potential mediator of the association between LDL-C and TAO activity: LDL-C had a direct effect on TAO activity(Total effect value=0.320, 95% CI 0.204-0.435), and IL-6(mediated effect=0.103, 95% CI 0.021-0.185) partially mediated the effect of LDL-C on TAO activity, with a mediation effect of 32.19%. Conclusion:IL-6 plays a partiall mediating role in the association of LDL-C with TAO onset and activity.

Based on the noninvasive detection indeices and fuzzy mathematics method, this paper studied the noninvasive, convenient and economical cardiovascular health assessment system. The health evaluation index of cardiovascular function was built based on the internationally recognized risk factors of cardiovascular disease and the noninvasive detection index. The weight of 12 indexes was completed by the analytic hierarchy process, and the consistency test was passed. The membership function, evaluation matrix and evaluation model were built by fuzzy mathematics. The introducted methods enhanced the scientificity of the evaluation system. Through the Kappa consistency test, McNemer statistical results ( = 0.995 > 0.05) and Kappa values (Kappa = 0.616, < 0.001) suggest that the comprehensive evaluation results of model in this paper are relatively consistent with the clinical, which is of certain scientific significance for the early detection of cardiovascular diseases.
Cardiovascular Diseases ; diagnosis ; Cardiovascular System ; Fuzzy Logic ; Humans ; Models, Cardiovascular ; Research