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Updated: Aug 31, 2025

A Methodological Approach to Non-invasive Assessments of Vascular Function and Morphology
Published on: February 7, 2015
Associations between electrocardiogram and carotid ultrasound parameters: a healthy chinese group study
Lingwei Shi1, Dongsheng Bi1, Jingchun Luo2
1Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, China.
Insights
Electrocardiogram (ECG) ST-segment amplitude (STA) correlates with carotid artery resistance index (RI), suggesting ECG can assess carotid health. This offers a convenient method for rapid carotid health screening.
Area of Science:
- Cardiovascular Medicine
- Diagnostic Imaging
- Biomedical Engineering
Background:
- Electrocardiogram (ECG) and carotid ultrasound (CUS) are vital for diagnosing and predicting cardiovascular disease (CVD).
- Assessing carotid artery health is crucial for CVD risk stratification.
- Exploring non-invasive methods to evaluate carotid health is of significant clinical interest.
Purpose of the Study:
- To investigate the associations between electrocardiogram (ECG) parameters and carotid ultrasound (CUS) parameters.
- To explore the feasibility of using ECG to assess carotid artery health.
- To identify ECG markers that correlate with carotid artery resistance index (RI) and intima-media thickness (IMT).
Main Methods:
- A cross-sectional cohort study involving 319 healthy Chinese subjects.
- Collected standard 12-lead ECG (including ST-segment amplitude [STA]), CUS (IMT, RI), and CVD risk factors (sex, age, SBP).
- Utilized linear and stepwise multivariable regression models to analyze associations between ECG and CUS parameters.
Main Results:
- ST-segment amplitude (STA) in leads V2 and V3 showed significant correlations with carotid RI.
- ECG parameters demonstrated weak correlations with carotid intima-media thickness (IMT).
- STA, sex, age, and SBP were independent predictors of RI, with higher predictive accuracy for proximal left common carotid artery (CCA).
Conclusions:
- ST-segment amplitude (STA) is associated with the resistance index (RI) of the common carotid artery (CCA) in healthy Chinese individuals.
- ECG shows potential for assessing carotid artery health, offering a convenient and rapid screening tool.
- This non-invasive approach may complement traditional methods for cardiovascular risk assessment.
Abstract:
Background: Electrocardiogram (ECG) and carotid ultrasound (CUS) are important tools for the diagnosis and prediction of cardiovascular disease (CVD). This study aimed to investigate the associations between ECG and CUS parameters and explore the feasibility of assessing carotid health with ECG. Methods: This cross-sectional cohort study enrolled 319 healthy Chinese subjects. Standard 12-lead ECG parameters (including the ST-segment amplitude [STA]), CUS parameters (intima-media thickness [IMT] and blood flow resistance index [RI]), and CVD risk factors (including sex, age, and systolic blood pressure [SBP]) were collected for analysis. Participants were divided into the high-level RI group (average RI ≥ 0.76, n = 171) and the normal RI group (average RI < 0.76, n = 148). Linear and stepwise multivariable regression models were performed to explore the associations between ECG and CUS parameters. Results: Statistically significant differences in sex, age, SBP, STA and other ECG parameters were observed in the normal and the high-level RI group. The STA in lead V3 yielded stronger significant correlations (r = 0.27-0.42, p < 0.001) with RI than STA in other leads, while ECG parameters yielded weak correlations with IMT (|r| ≤ 0.20, p < 0.05). STA in lead V2 or V3, sex, age, and SBP had independent contributions (p < 0.01) to predicting RI in the stepwise multivariable models, although the models for IMT had only CVD risk factors (age, body mass index, and triglyceride) as independent variables. The prediction model for RI in the left proximal common carotid artery (CCA) had higher adjusted R2 (adjusted R2 = 0.31) than the model for RI in the left middle CCA (adjusted R2 = 0.29) and the model for RI in the right proximal CCA (adjusted R2 = 0.20). Conclusion: In a cohort of healthy Chinese individuals, the STA was associated with the RI of CCA, which indicated that ECG could be utilized to assess carotid health. The utilization of ECG might contribute to a rapid screening of carotid health with convenient operations.
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