代谢评分预测胰岛素抵抗与中国糖尿病和非糖尿病患者主要不良心血管事件风险的关系:4C 队列研究结果。
Predictive values of metabolic score for insulin resistance on risk of major adverse cardiovascular events and comparison with other insulin resistance indices among Chinese with and without diabetes mellitus: Results from the 4C cohort study.
机构信息
Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, China.
出版信息
J Diabetes Investig. 2023 Aug;14(8):961-972. doi: 10.1111/jdi.14024. Epub 2023 May 2.
AIMS/INTRODUCTION: To investigate the relationship between the metabolic score for insulin resistance (METS-IR) index and major adverse cardiac events (MACEs) and to compare its ability to predict MACEs with other IR indices including homeostatic model assessment for IR (HOMA-IR) and triglyceride glucose (TyG) index-related parameters.
MATERIALS AND METHODS
We conducted a cohort study enrolling 7,291 participants aged ≥40 years. Binary logistic regression and restricted cubic splines were performed to determine the association between METS-IR and MACEs, and the receiver operating curve (ROC) was utilized to compare the predictive abilities of IR indices and to determine the optimal cut-off points.
RESULTS
There were 348 (4.8%) cases of MACEs during a median follow-up of 3.8 years. Compared with participants with a METS-IR in the lowest quartile, the multivariate-adjusted RRs and 95% CIs for participants with a METS-IR in the highest quartile were 1.47 (1.05-2.77) in all participants, 1.42 (1.18-2.54) for individuals without diabetes, and 1.75 (1.11-6.46) for individuals with diabetes. Significant interactions were found between the METS-IR and the risk of MACEs by sex in all participants and by age and sex in individuals without diabetes (all P values for interaction < 0.05). In the ROC analysis, the METS-IR had a higher AUC value than other indices for predicting MACEs in individuals with diabetes and had a comparable or higher AUC than other indices for individuals without diabetes.
CONCLUSIONS
The METS-IR can be an effective clinical indicator for identifying MACEs, as it had superior predictive power when compared with other IR indices in individuals with diabetes.
目的/引言:本研究旨在探讨胰岛素抵抗代谢评分(METS-IR)指数与主要不良心脏事件(MACEs)之间的关系,并比较其预测 MACEs 的能力与其他胰岛素抵抗(IR)指数(包括稳态模型评估的胰岛素抵抗指数(HOMA-IR)和甘油三酯-葡萄糖(TyG)指数相关参数)。
材料和方法
我们进行了一项队列研究,纳入了 7291 名年龄≥40 岁的参与者。采用二元逻辑回归和限制性三次样条来确定 METS-IR 与 MACEs 之间的关联,并利用受试者工作特征曲线(ROC)比较 IR 指数的预测能力,并确定最佳截断点。
结果
在中位随访 3.8 年期间,发生了 348 例(4.8%)MACEs。与 METS-IR 最低四分位的参与者相比,所有参与者中,METS-IR 最高四分位的多变量校正 RR 和 95%CI 分别为 1.47(1.05-2.77),无糖尿病参与者为 1.42(1.18-2.54),有糖尿病参与者为 1.75(1.11-6.46)。在所有参与者中,METS-IR 与 MACEs 风险之间存在显著的性别交互作用,在无糖尿病的参与者中,METS-IR 与 MACEs 风险之间存在显著的年龄和性别交互作用(所有交互作用 P 值均<0.05)。在 ROC 分析中,METS-IR 在预测糖尿病患者的 MACEs 方面比其他指数具有更高的 AUC 值,在无糖尿病患者中,METS-IR 与其他指数相比具有相似或更高的 AUC 值。
结论
METS-IR 可作为识别 MACEs 的有效临床指标,其预测能力优于糖尿病患者的其他 IR 指数。