The Study of Systemic Immune Inflammatory Index Combined with Metabolic Index and Coronary Artery Disease in Patients with Coronary Heart Disease Complicated with Type 2 Diabetes Mellitus
Year: 2025
Type: article
Study design: Observational Study
Abstract: 目的：研究冠状动脉粥样硬化性心脏病(coronary atherosclerotic heart disease, CHD)合并2型糖尿病(type 2 diabetes mellitus, T2DM)患者的系统免疫炎症指数(systemic immune inflammatory index, SII)和甘油三酯葡萄糖指数(triglyceride-glucose index，TyG指数)对冠状动脉病变的影响。方法：回顾性收集选取2022年9月~2024年6月于青岛大学附属医院诊治的完善冠状动脉造影的患者395例，收集患者心理因素、病史资料、各项生化指标，按照2型糖尿病诊断标准分为CHD组133例、CHD合并T2DM组262例。根据Gensini评分中位数将CHD合并T2DM组患者分为轻微冠脉病变组133例(Gensini评分 Objective: To investigate coronary atherosclerotic heart disease (CHD) with type 2 diabetes mellitus, Coronary atherosclerotic heart disease (CHD) in T2DM patients, Systemic immune inflammatory index (SII) and triglyceride-glucose index (TyG index) affected the relationship between coronary artery disease. Methods: A cross-section of 395 patients with complete coronary angiography who were treated and treated in the Affiliated Hospital of Qingdao University from September 2022 to June 2024 were selected. Psychological factors, medical history and biochemical indicators of the patients were collected. According to the diagnostic criteria of type 2 diabetes, the patients were divided into 133 cases in the CHD group and 262 cases in the CHD combined T2DM group. According to the median Gensini score, CHD patients with T2DM were divided into mild coronary disease group (133 cases) (Gensini score < 34.5 points) and severe coronary disease group (129 cases) (Gensini score ≥ 34.5 points). Multivariate Logistic regression analysis was used to investigate the influencing factors of CHD with T2DM. ROC curve was used to analyze the value of SII and TyG index in predicting the degree of coronary stenosis in CHD patients with T2DM. Result: The white blood cell count (WBC), neutrophil count (NE), monocyte count (MONO), creatinine, fasting blood glucose (FPG), glycosylated hemoglobin (HbA1c), systemic immunoinflammatory index (SII) and triglyceride glucose index (TyG index) in CHD combined T2DM group were higher than those in CAHD group (P < 0.05). Multiple Logistic regression analysis showed that creatinine, SII and TyG index were independent influencing factors of CHD and T2DM (P < 0.05). Multivariate Logistic regression analysis showed that age, anxiety status, creatinine, SII and TyG index were independent factors influencing the degree of coronary stenosis in CHD patients with T2DM (P < 0.05). ROC curve analysis showed that the area under ROC curve drawn by SII, TyG index and their combined application were 0.82 (95%CI: 0.77~0.87), 0.75 (95%CI: 0.69~0.81) and 0.84 (95%CI: 0.80~0.89), respectively. SII combined with TyG index had the highest value in predicting the severity of coronary stenosis in CHD patients with T2DM. Conclusion: SII and TyG index are independent influencing factors of CHD combined with T2DM, and SII and TyG index have certain predictive value for the severity of coronary artery stenosis in CHD combined with T2DM, and their combined value is better than SII and TyG index.
Source: Advances in Clinical Medicine
Author: 旭 张
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4409408459