Combination of cerebral small vessel disease and cerebral artery stenosis predicts risk for coronary atherosclerosis
10.3969/j.issn.1009-0126.2025.10.002
- VernacularTitle:联合脑小血管病及脑动脉狭窄预测冠状动脉粥样硬化的效能
- Author:
Xian XU
1
;
Xinwei CHANG
1
;
Linsong LIU
1
;
Jian ZHAO
1
;
Guanzhong LIU
1
;
Jing LI
1
;
Xinjiang WANG
1
Author Information
1. 100853 北京,解放军总医院第二医学中心国家老年疾病临床研究中心放射诊断科
- Publication Type:Journal Article
- Keywords:
atherosclerosis;
cerebral small vessel disease;
coronary artery disease;
forecasting
- From:
Chinese Journal of Geriatric Heart Brain and Vessel Diseases
2025;27(10):1292-1297
- CountryChina
- Language:Chinese
-
Abstract:
Objective To predict the risk of coronary atherosclerosis using cerebral small vessel disease and cerebral artery stenosis in order to assist early identification of coronary artery disease(CHD).Methods A retrospective analysis was conducted on 130 patients(aged≥65 years)who underwent cerebral MRI,magnetic resonance angiography(MRA),and coronary computed tomo-graphy angiography in the Chinese PLA General Hospital between January 2019 and December 2024.Based on coronary computed tomography angiography results,the patients were categorized into an asymptomatic CHD group(56 cases)and a non-CHD group(74 cases).Cerebral MRI and MRA were used to assess white matter hyperintensity,enlarged perivascular spaces,lacunar infarcts,cerebral microbleeds(CMB)scores,total score of cerebral small vessel disease and degree of cerebral artery stenosis.Multivariate logistic regression analysis was employed to identify the clinical and radiological indicators related to CHD.Then a predictive model was constructed,and then its performance in early predicting CHD was evaluated.Results Blood glucose,low-density lipoprotein cholesterol,CMB score≥ 1,and≥50％stenosis of the posterior cerebral artery were independent risk factors for CHD(P＜0.05).The combined predictive model integrating clinical indicators,cerebral small vessel disease,and cerebral artery stenosis demonstrated the best performance,with an AUC value of 0.867(95％CI:0.807-0.927),outperforming the clinical model and the clinical-cerebral small vessel disease model.Conclusion cerebral small vessel dis-ease and cerebral artery stenosis are closely related to coronary atherosclerosis.The predictive model integrating clinical features and cerebrovascular disease imaging markers provides impor-tant reference for early screening of CHD.
