The correlation between abnormal metabolic indexes and the severity of coronary artery lesions in patients with acute coronary syndrome
10.12025/j.issn.1008-6358.2025.20250342
- VernacularTitle:代谢指标异常与急性冠脉综合征患者冠状动脉病变程度的相关性
- Author:
Yajun ZHAO
1
;
Ming LIU
1
;
Yuxiang DAI
2
;
Xiaopan LI
1
;
Xuelin CHENG
3
;
Qizhe WANG
1
;
Ru LIU
1
;
Yaxin XU
3
;
Sunfang JIANG
3
,
4
Author Information
1. Health Management Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
2. Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
3. Department of General Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
4. Health Management Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Publication Type:Shortarticle
- Keywords:
acute coronary syndrome;
metabolic indicator;
coronary artery lesion;
modified Gensini score
- From:
Chinese Journal of Clinical Medicine
2025;32(3):441-448
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the influencing factors of coronary artery lesion severity in patients with acute coronary syndrome (ACS). Methods Clinical data of ACS patients admitted to Zhongshan Hospital, Fudan University from December 2017 to December 2019 were consecutively collected. The modified Gensini score was used to assess the severity of coronary artery lesions. Univariate and multivariate linear regression analyses were performed to identify independent factors associated with coronary artery lesion severity. Results A total of 1 689 ACS patients were included, with an average age of (64.04±11.45) years; 1 353 (80.11%) were male, and the mean modified Gensini score was (8.12±4.03). Multivariate linear regression analysis revealed that sex (β=0.97, P=0.001), age (β=0.03, P=0.021), estimated glomerular filtration rate (eGFR; β=-0.03, P<0.001), low-density lipoprotein cholesterol (LDL-C; β=0.58, P<0.001), apolipoprotein A1 (Apo A1; β=-1.28, P=0.012), lipoprotein(a) [Lp(a); β=0.001, P=0.033], and glycated hemoglobin A1C (HbA1C; β=0.45, P<0.001) were independent influencing factors of the modified Gensini score. Conclusions Metabolic indicators, including Apo A1, LDL-C, HbA1C, and Lp(a), may serve as risk factors for coronary artery lesion severity in ACS patients, with Apo A1 demonstrating the strongest impact.