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Computed tomography imaging of early coronary artery lesions in stable individuals with multiple cardiovascular risk factors

Overview of attention for article published in Clinics, April 2015
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Title
Computed tomography imaging of early coronary artery lesions in stable individuals with multiple cardiovascular risk factors
Published in
Clinics, April 2015
DOI 10.6061/clinics/2015(04)04
Pubmed ID
Authors

X Yang, H Huang, H Liu, ZY Zeng, J Zhang

Abstract

To investigate the prevalence, extent, severity, and features of coronary artery lesions in stable patients with multiple cardiovascular risk factors. Seventy-seven patients with more than 3 cardiovascular risk factors were suspected of having coronary artery disease. Patients with high-risk factors and 39 controls with no risk factors were enrolled in the study. The related risk factors included hypertension, impaired glucose tolerance, dyslipidemia, smoking history, and overweight. The characteristics of coronary lesions were identified and evaluated by 64-slice coronary computed tomography angiography. The incidence of coronary atherosclerosis was higher in the high-risk group than in the no-risk group. The involved branches of the coronary artery, the diffusivity of the lesion, the degree of stenosis, and the nature of the plaques were significantly more severe in the high-risk group compared with the no-risk group (all p < 0.05). Among stable individuals with high-risk factors, early coronary artery lesions are common and severe. Computed tomography has promising value for the early screening of coronary lesions.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Bachelor 4 27%
Student > Master 4 27%
Librarian 1 7%
Researcher 1 7%
Other 0 0%
Unknown 1 7%
Readers by discipline Count As %
Medicine and Dentistry 5 33%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Nursing and Health Professions 1 7%
Philosophy 1 7%
Computer Science 1 7%
Other 3 20%
Unknown 3 20%