应用血糖水平预测糖尿病合并急性冠脉综合征患者冠状动脉病变程度及心血管不良事件

IF 1.6 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
American journal of translational research Pub Date : 2025-04-15 eCollection Date: 2025-01-01 DOI:10.62347/AQXW7292
Yang Li, Jingyuan Jiang, Nan Xie, Wei Zhang
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引用次数: 0

摘要

目的:探讨血糖水平对2型糖尿病(T2DM)合并急性冠脉综合征(ACS)患者冠状动脉病变程度及主要心血管不良事件(MACE)的预测价值。方法:对2020年8月至2024年3月在四川大学华西医院就诊的伴有ACS的T2DM患者104例进行回顾性研究。根据Gensini评分将患者分为轻度(0 ~ 30分)、中度(31 ~ 59分)和重度(≥60分)组。此外,根据MACE的发生情况将患者分为MACE组和非MACE组。收集一般信息、血糖水平和冠状动脉造影结果,以及六个月的随访数据。采用受试者工作特征(ROC)曲线分析血糖水平对冠状动脉疾病严重程度和心血管不良事件的预测价值。结果:不同冠状动脉病变程度患者血清糖基化蛋白(GSP)、胰岛素样生长因子-1 (IGF-1)、甘油三酯-葡萄糖(TyG)指数(ppp)水平存在显著差异。结论:T2DM合并ACS患者血糖水平对冠状动脉病变严重程度及MACE的发生均有预测价值。测量GSP、IGF-1和TyG对评估预后和制定治疗策略具有临床意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of blood glucose level for predicting the degree of coronary artery disease and cardiovascular adverse events in diabetic patients with acute coronary syndrome.

Objective: To investigate the predictive value of blood glucose level in patients with type 2 diabetes mellitus (T2DM) and acute coronary syndrome (ACS) concerning the degree of coronary artery disease and major adverse cardiovascular events (MACE).

Method: A retrospective study was conducted on 104 T2DM patients with ACS who visited West China Hospital, Sichuan University, from August 2020 to March 2024. Based on the Gensini score, patients were categorized into mild (0-30 points), moderate (31-59 points), and severe (≥60 points) groups. Additionally, patients were divided into MACE and non-MACE groups based on the occurrence of MACE. General information, blood glucose levels, and coronary angiography results were collected, along with six-month follow-up data. The predictive value of blood glucose levels for the severity of coronary artery disease and cardiovascular adverse events was analyzed using receiver operating characteristic (ROC) curves.

Results: There were significant differences in the levels of glycosylated serum protein (GSP), insulin-like growth factor-1 (IGF-1), and the triglyceride-glucose (TyG) index among patients with varying degrees of coronary artery disease (P<0.05), with levels increasing in line with disease severity. The MACE group exhibited generally higher levels of GSP, IGF-1, and TyG compared to the non-MACE group (P<0.05). ROC curve analysis revealed that the area under the curve (AUC) for GSP, IGF-1, and TyG for predicting severe coronary artery disease were 0.861, 0.936, and 0.896, respectively, and for predicting MACE occurrence were 0.738, 0.814, and 0.710, respectively (P<0.05).

Conclusion: Blood glucose levels in T2DM patients with ACS have predictive value for both the severity of coronary artery disease and the occurrence of MACE. Measurement of GSP, IGF-1, and TyG is clinically significant for assessing prognosis and developing treatment strategies.

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American journal of translational research
American journal of translational research ONCOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
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