Literature DB >> 24076080

Prevalence of severe subclinical coronary artery disease on cardiac CT and MRI in patients with extra-cardiac arterial disease.

M A M den Dekker1, J J A M van den Dungen, I F J Tielliu, R A Tio, M M J J R Jaspers, M Oudkerk, R Vliegenthart.   

Abstract

OBJECTIVE: Patients with extra-cardiac arterial disease (ECAD) are at high risk of coronary artery disease (CAD). Prevalence of silent, significant CAD in patients with stenotic or aneurysmal ECAD was examined. Early detection and treatment may reduce CAD mortality in this high-risk group.
MATERIALS AND METHODS: ECAD patients without cardiac complaints underwent computed tomography (CT) for calcium scoring, coronary CT angiography (cCTA) if calcium score was 1,000 or under, and adenosine perfusion magnetic resonance imaging (APMR) if there was no left main stenosis. Significant CAD was defined as calcium score over 1,000, cCTA-detected coronary stenosis of at least 50% lumen diameter, and/or APMR-detected inducible myocardial ischemia. In cases of left main stenosis (or equivalent) or myocardial ischemia, patients were referred to a cardiologist.
RESULTS: The prevalence of significant CAD was 56.8% (95% CI 47.5 to 66.0). One-hundred and eleven patients were included. Eighty-four patients (76%) had stenotic ECAD, and 27 (24%) had aneurysmal disease. In patients with stenotic ECAD, significant coronary stenosis was present in 32 (38%) and inducible ischemia in eight (12%). Corresponding results in aneurysmal ECAD were eight (30%) and two (11%), respectively (p for difference >.05). Sixteen (19%) patients with stenotic and six (22%) with aneurysmal ECAD were referred to a cardiologist, with subsequent cardiac intervention in seven (44%) and three (50%), respectively (both p >.05).
CONCLUSIONS: Patients with stenotic or aneurysmal ECAD have a high prevalence of silent, significant CAD.
Copyright © 2013 European Society for Vascular Surgery. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computed tomography; Coronary artery disease; Magnetic resonance imaging; Peripheral artery disease; Prevalence

Mesh:

Substances:

Year:  2013        PMID: 24076080     DOI: 10.1016/j.ejvs.2013.08.013

Source DB:  PubMed          Journal:  Eur J Vasc Endovasc Surg        ISSN: 1078-5884            Impact factor:   7.069


  2 in total

1.  Machine Learning to Predict Long-Term Cardiac-Relative Prognosis in Patients With Extra-Cardiac Vascular Disease.

Authors:  Guisen Lin; Qile Liu; Yuchen Chen; Xiaodan Zong; Yue Xi; Tingyu Li; Yuelong Yang; An Zeng; Minglei Chen; Chen Liu; Yanting Liang; Xiaowei Xu; Meiping Huang
Journal:  Front Cardiovasc Med       Date:  2021-11-25

Review 2.  Non-invasive imaging for subclinical coronary atherosclerosis in patients with peripheral artery disease.

Authors:  Rasmus Sejersten Ripa; Andreas Kjaer; Birger Hesse
Journal:  Curr Atheroscler Rep       Date:  2014-06       Impact factor: 5.113

  2 in total

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