The correlation between the atherogenic index of plasma and the severity of coronary artery disease in acute myocardial infarction patients under different glucose metabolic states

心肌梗塞 医学 心脏病学 内科学 冠状动脉疾病 疾病
作者
Kaiqin Jin,Zijun Ma,Chang‐Lin Zhao,Xintao Zhou,H. Xu,Dongfeng Li,Xinwen Min,Handong Yang,Wenwen Wu,Jixin Zhong,Jishun Chen,Jun Chen
出处
期刊:Scientific Reports [Springer Nature]
卷期号:15 (1)
标识
DOI:10.1038/s41598-025-90816-4
摘要

The atherogenic index of plasma (AIP) is a recent biomarker linked to atherosclerosis that has been validated as a novel indicator for myocardial infarction (MI). However, the relationship between AIP and the severity of coronary artery disease (CAD) in MI patients is still ambiguous, particularly among individuals with different glucose metabolic conditions. A total of 741 participants who were immediately assessed with coronary angiography upon admission and diagnosed with acute MI were recruited. The severity of CAD was assessed based on the number of narrowed vessels. AIP tertiles were used to divide the patients into three groups (T1: AIP < 0.030; T2: 0.030 ≤ AIP ≤ 0.316; T3: AIP > 0.316). The American Diabetes Association's guidelines define three types of glucose metabolic state: diabetes mellitus (DM), prediabetes (Pre-DM), and normal glucose regulation (NGR). Logistic regression analysis was utilized to confirm an association between AIP and CAD severity in MI patients. ROC curves were employed to evaluate the diagnostic utility of AIP for CAD severity in MI patients. In MI patients, a statistically significant correlation was found between AIP and the severity of CAD, with logistic regression analysis revealing a strong association (OR: 2.055; 95% CI: 1.189–3.550; P = 0.009). Following adjustments for risk factors in the logistic regression model, AIP remained an independent predictor of multi-vessel CAD (OR: 2.902;95% CI: 1.555–5.521 ; P < 0.001). Moreover, compared with the T1 group, the odds ratios for multi-vessel CAD in the T2 and T3 groups were 2.039 (95% CI: 1.321–3.175; P = 0.001) and 2.087 (95% CI: 1.317–3.340; P = 0.001), respectively. The area under the curve for predicting CAD severity with AIP was 0.568 (95% CI: 0.520–0.616; p = 0.006). In addition, a significant association was observed between AIP and an increased risk of multi-vessel CAD in the Pre-DM group. In MI patients, AIP is closely associated with the risk of multi-vessel CAD and the prediction of the severity of CAD. In Pre-DM patients, AIP is clearly associated with the severity of CAD, whereas this association is absent in the NGR and DM groups.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wzx完成签到,获得积分10
刚刚
刚刚
卑微小研发布了新的文献求助10
2秒前
2秒前
JFFE完成签到 ,获得积分10
2秒前
2秒前
竹竹完成签到,获得积分10
3秒前
同化斗士发布了新的文献求助10
3秒前
4秒前
东方凡梦发布了新的文献求助10
4秒前
Yunus完成签到,获得积分20
5秒前
5秒前
Lucifer完成签到,获得积分10
6秒前
大气的孤晴完成签到,获得积分20
6秒前
淡淡宛完成签到 ,获得积分10
7秒前
66完成签到,获得积分10
7秒前
iehaoang完成签到 ,获得积分10
8秒前
朱成豪发布了新的文献求助10
8秒前
wyx完成签到,获得积分20
9秒前
Yunus发布了新的文献求助10
9秒前
11秒前
余地完成签到 ,获得积分10
11秒前
11秒前
研友_VZG7GZ应助wyx采纳,获得10
12秒前
12秒前
13秒前
13秒前
万能图书馆应助月亮采纳,获得10
14秒前
研友_Zbb4mZ发布了新的文献求助10
15秒前
大壮完成签到,获得积分20
15秒前
HJM完成签到,获得积分10
16秒前
xia完成签到,获得积分10
17秒前
科研通AI5应助wkf218416采纳,获得10
18秒前
qwe发布了新的文献求助10
18秒前
大壮发布了新的文献求助10
18秒前
20秒前
lqllll完成签到,获得积分10
23秒前
科研通AI5应助金鸡奖采纳,获得10
23秒前
科目三应助4465456456采纳,获得10
23秒前
自信的坤完成签到,获得积分10
24秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Conference Record, IAS Annual Meeting 1977 610
The Laschia-complex (Basidiomycetes) 600
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3540680
求助须知:如何正确求助?哪些是违规求助? 3117973
关于积分的说明 9333396
捐赠科研通 2815872
什么是DOI,文献DOI怎么找? 1547779
邀请新用户注册赠送积分活动 721175
科研通“疑难数据库(出版商)”最低求助积分说明 712578