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Predictive value of an integrated insulin resistance and lipometabolic score for cardiometabolic multimorbidity in older adults: a UK cohort study

医学 胰岛素抵抗 内科学 队列研究 血管病学 预测值 糖尿病 多发病率 队列 代谢综合征 风险评估 2型糖尿病 试验预测值 肥胖 共病 回顾性队列研究 索引(排版) 风险因素 体质指数 梅德林 胰岛素 疾病严重程度 前瞻性队列研究 动脉粥样硬化性心血管疾病 弗雷明翰风险评分 空腹血糖值 病例对照研究 价值(数学) 年轻人 血甘油三酯 流行病学
作者
Chenyang Li,Xiaoqin Luo,Y Chen,Jian Lin,Shengyuan Gu
出处
期刊:Cardiovascular Diabetology [BioMed Central]
卷期号:25 (1) 被引量:1
标识
DOI:10.1186/s12933-025-03064-1
摘要

BACKGROUND: Markers of insulin resistance, such as the triglyceride-glucose (TyG) index and estimated glucose disposal rate (eGDR), have been extensively linked to cardiometabolic multimorbidity (CMM). However, the roles of lipid metabolism indicators, including the atherogenic index of plasma (AIP) and remnant cholesterol (RC), remain less clearly defined. This study aimed to evaluate both the individual and combined effects of insulin resistance and dyslipidemia on the risk of CMM. METHODS: Data were derived from the English Longitudinal Study of Ageing. A composite metabolic index integrating the TyG, eGDR, AIP, and RC was developed using principal component analysis. The associations of individual and composite indices with incident CMM were examined using multivariable Cox proportional hazards models, while their predictive performance was assessed via receiver operating characteristic (ROC) and net reclassification improvement (NRI) analysis. RESULTS: Over a 6.8-year follow-up period, 552 cases of CMM occurred among 4232 participants. After multivariable adjustment, each standard deviation (SD) increase in TyG, AIP, and RC was linked to a higher risk of CMM by 30.8% (HR = 1.308; 95% CI: 1.202-1.422), 22.2% (HR = 1.222; 95% CI: 1.117-1.338), and 7.6% (HR = 1.076; 95% CI: 1.025-1.129), respectively. In contrast, eGDR and the composite metabolic index were linked to 35.0% (HR = 0.650; 95% CI: 0.565-0.747) and 37.4% (HR = 0.626; 95% CI: 0.554-0.707) lower risks of CMM. The eGDR and CompositeIndex showed high Population attributable fraction (PAF) of 56.3% (95% CI: 47.3-63.4) and 38.3% (95% CI: 29.8-47.8), respectively. Dose-response analyses showed near-linear relationships for all indices. ROC and NRI analysis further indicated that the CompositeIndex offered highest discrimination with a modest improvement for CMM (AUC = 0.754, 95% CI: 0.737-0.778; NRI = 0.066 (0.027-0.106). The associations were more pronounced among participants younger than 65 years and consistent across sex. CONCLUSIONS: The integrated index combining insulin resistance and lipid dysregulation was associated with incident CMM and provided modest improvements in risk discrimination and reclassification beyond traditional risk factors.
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