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钙化性主动脉瓣疾病与颈动脉弹性的相关性研究。

A Study on the Correlation Between Calcific Aortic Valve Disease and Carotid Artery Elasticity.

作者信息

Zhang Yan, Wang Hui, Zhong Yu, Wang Wei, Zhang Zhijun, He Quan

机构信息

Department of Ultrasound, University-Town Hospital of Chongqing Medical University, 401331 Chongqing, China.

Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, 400016 Chongqing, China.

出版信息

Rev Cardiovasc Med. 2025 May 21;26(5):26821. doi: 10.31083/RCM26821. eCollection 2025 May.

DOI:10.31083/RCM26821
PMID:40475736
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12135632/
Abstract

BACKGROUND

This study aimed to investigate the correlation between calcific aortic valve disease (CAVD) and carotid artery elasticity using ultra-fast pulse wave velocity (UFPWV) technology. Early detection of alterations in carotid artery elasticity, coupled with the prompt implementation of intervention strategies, can effectively decrease the incidence of cardiovascular diseases.

METHODS

Patients with CAVD were recruited from the University-Town Hospital of Chongqing Medical University and placed in the observation group. Meanwhile, an equivalent number of patients with non-calcified aortic valve disease were recruited as controls. All participants underwent comprehensive health assessments, including measurements of blood lipids, fasting blood sugar, and other biochemical indicators. Additionally, bilateral carotid intima-media thickness (CIMT) was measured, as well as pulse wave velocity (PWV) at the beginning of systole (PWV-BS) and the end of systole (PWV-ES). Differences in various indicators between the two groups were analyzed, and the factors associated with CAVD and carotid artery elasticity were investigated. The correlation between CAVD and carotid artery elasticity was also evaluated.

RESULTS

Patients with CAVD exhibited significantly higher CIMT, PWV-BS, and PWV-ES levels than those with non-calcified aortic valve disease ( < 0.01). PWV-BS and PWV-ES showed progressive increases according to the severity of calcification. Coronary atherosclerotic heart disease and PWV-BS were all identified as independent risk factors for CAVD. The risk factors associated with PWV-BS include hypertension, coronary atherosclerotic heart disease, total cholesterol, and homocysteine ( < 0.05 for all). The risk factors related to PWV-ES include hypertension, coronary atherosclerotic heart disease, total cholesterol, and glycated hemoglobin ( < 0.05 for all).

CONCLUSIONS

UFPWV technology is a novel method for the early diagnosis of carotid elasticity. Evaluating carotid artery atherosclerosis in patients with CAVD may lead to earlier detection and intervention and reduce the incidence of cardiovascular events.

摘要

背景

本研究旨在利用超快速脉搏波速度(UFPWV)技术研究钙化性主动脉瓣疾病(CAVD)与颈动脉弹性之间的相关性。早期发现颈动脉弹性改变,并及时实施干预策略,可有效降低心血管疾病的发病率。

方法

从重庆医科大学大学城医院招募CAVD患者作为观察组。同时,招募同等数量的非钙化性主动脉瓣疾病患者作为对照组。所有参与者均接受全面的健康评估,包括血脂、空腹血糖和其他生化指标的测量。此外,测量双侧颈动脉内膜中层厚度(CIMT)以及收缩期开始时的脉搏波速度(PWV-BS)和收缩期末期的脉搏波速度(PWV-ES)。分析两组之间各项指标的差异,并研究与CAVD和颈动脉弹性相关的因素。还评估了CAVD与颈动脉弹性之间的相关性。

结果

CAVD患者的CIMT、PWV-BS和PWV-ES水平显著高于非钙化性主动脉瓣疾病患者(<0.01)。PWV-BS和PWV-ES随钙化严重程度呈逐渐升高趋势。冠状动脉粥样硬化性心脏病和PWV-BS均被确定为CAVD的独立危险因素。与PWV-BS相关的危险因素包括高血压、冠状动脉粥样硬化性心脏病、总胆固醇和同型半胱氨酸(均<0.05)。与PWV-ES相关的危险因素包括高血压、冠状动脉粥样硬化性心脏病、总胆固醇和糖化血红蛋白(均<0.05)。

结论

UFPWV技术是一种用于早期诊断颈动脉弹性的新方法。评估CAVD患者的颈动脉粥样硬化可能有助于早期发现和干预,并降低心血管事件的发生率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4ab/12135632/637c8fc9a8ab/2153-8174-26-5-26821-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4ab/12135632/bee649dcb5b7/2153-8174-26-5-26821-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4ab/12135632/84d655d6980a/2153-8174-26-5-26821-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4ab/12135632/637c8fc9a8ab/2153-8174-26-5-26821-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4ab/12135632/bee649dcb5b7/2153-8174-26-5-26821-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4ab/12135632/84d655d6980a/2153-8174-26-5-26821-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4ab/12135632/637c8fc9a8ab/2153-8174-26-5-26821-g3.jpg

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Evaluation of Carotid Stiffness in Metabolic Syndrome by Real-Time Shear Wave Elasticity Imaging and Ultrafast Pulse Wave Velocity.
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