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The relationship between arterial stiffness index and coronary heart disease and its severity
Longjian Gao1, Dasheng Lu2, Guangwei Xia3
1Department of Cardiology, Hebei Medical University, 361# Zhongshan east road, Shijiazhuang, 050017, Hebei Province, China.
Insights
Arterial stiffness index (ASI) effectively predicts coronary heart disease (CHD) and its severity. Higher ASI values correlate with more severe coronary atherosclerosis, aiding in diagnosis and risk assessment.
Area of Science:
- Cardiology
- Vascular Medicine
- Diagnostic Imaging
Background:
- Arterial stiffness index (ASI) is linked to coronary atherosclerosis.
- The diagnostic and prognostic value of ASI in coronary heart disease (CHD) requires further investigation.
Purpose of the Study:
- To determine if ASI can predict the presence and severity of CHD.
- To assess the correlation between ASI and the extent of coronary artery disease.
Main Methods:
- 726 patients with suspected CHD underwent coronary angiography.
- Patients were categorized by disease presence (control, single-vessel, multi-vessel) and severity (SA, UA, AMI).
- Receiver operating curve (ROC) analysis evaluated ASI's predictive capabilities.
Main Results:
- ASI positively correlated with the number of diseased coronary artery branches.
- ASI values were significantly higher in patients with stable angina (SA), unstable angina (UA), and acute myocardial infarction (AMI) compared to controls.
- ROC analysis showed ASI sensitivity and specificity of 71.0% and 85.4% for diagnosing CHD, and 72.1% and 57.9% for predicting severity.
Conclusions:
- ASI demonstrates significant value in diagnosing CHD.
- ASI is a useful predictor for assessing the severity of coronary heart disease.
Background:
Arterial stiffness index (ASI) is closely related to coronary atherosclerosis. This study aims to explore whether ASI can predict coronary heart disease (CHD) and its severity.
Methods:
In this study, a total of 726 patients with suspected CHD were recruited. Based on coronary angiography results, the subjects were assigned into three groups: the control group (without obvious coronary artery disease), single-vessel disease group, and multi-vessel disease group (the number of vessels diseased ≥ 2). At the same time, according to the results of angiography, myocardial enzyme spectrum, electrocardiogram, color Doppler echocardiography and clinical manifestations, these patients were divided into four groups: the control group, stable angina (SA) Group, unstable angina (UA) group, and acute myocardial infarction (AMI) group. We have compared whether there were differences in ASI and related baseline data between groups. Receiver operating curve (ROC) analysis was conducted to determine whether ASI could predict CHD and evaluate the severity.
Results:
ASI was positively correlated with the number of diseased branches of coronary artery. The value of ASI was increased as the number of the diseased branches increased. The ASI value in the SA group was significantly higher compared with the control group. Furthermore, the ASI value in the UA and AMI groups was remarkably increased compared with the control and SA groups. The results of ROC analysis indicated that the sensitivity and specificity of ASI was 71.0% and 85.4% in diagnosing CHD, respectively. While ASI was used in predicting the severity of CHD, the sensitivity was 72.1% and specificity 57.9%.
Conclusion:
ASI is of great value in the diagnosis of coronary heart disease and the prediction of its severity.
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