The independent and add-on values of radial intima thickness measured by ultrasound biomicroscopy for diagnosis of coronary artery disease

Author:

Xu Mingjun1,Zhang Mei1,Xu Jinfeng2,Zhu Mei3,Zhang Cheng1,Zhang Pengfei1,Zhang Yun1

Affiliation:

1. Department of Cardiology, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, China

2. Department of Ultrasound, Shenzhen People’s Hospital, 3046 Shennandong Road, Luohu District, Shenzhen, Guangdong, China

3. Department of Ultrasound, First Affiliated Hospital of Kunming Medical University, 259 Xichang Road, Kunming, Yunnan, China

Abstract

Abstract Aims Carotid intima-media thickness (CIMT) has been widely used to risk stratify and predict coronary artery disease (CAD) despite its significant limitations. To test whether radial artery intima thickness (RIT) is closely associated with atherosclerotic risk factors, and whether RIT has an independent and additive value for diagnosis of CAD. Methods and results One hundred and sixteen consecutive CAD patients and 79 age and gender-matched healthy controls were enrolled in this study. RIT, radial media thickness, radial intima-media thickness, and CIMT were measured with a high-resolution ultrasound biomicroscopy. Binary logistic regression was used to assess association between CAD and ultrasonic parameters, biochemical biomarkers or traditional risk factors. Receiver-operating characteristic curves were plotted to compare performances of several diagnostic models. RIT was positively associated with age, systolic blood pressure, statin administration, and hypertension. The independent value of RIT for differentiating CAD was similar to that of CIMT, but the add-on value of RIT to traditional risk factors for detecting CAD was superior to that of CIMT. Moreover, addition of RIT and CIMT to traditional risk factors increased AUC for detecting CAD from 0.724 to 0.867 significantly (P = 0.003). Conclusion RIT could detect CAD independently similarly to CIMT. The add-on value of RIT to traditional risk factors for detecting CAD was superior to CIMT and addition of RIT and CIMT to traditional risk factors markedly increased the power to diagnose CAD. Thus, RIT measured by ultrasound biomicroscopy provided a novel approach to non-invasive diagnosis of CAD.

Funder

National 973 Basic Research Program of China

State Key Program of National Natural Science of China

International Collaboration and Exchange Program of China

National Natural Science Foundation of China

Taishan Scholars Program of Shandong Province

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Radiology Nuclear Medicine and imaging,General Medicine

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