Cargando…

Predicting asymptomatic coronary artery stenosis by aortic arch plaque in acute ischemic cerebrovascular disease: beyond the cervicocephalic atherosclerosis?

BACKGROUND: Asymptomatic coronary artery stenosis (ACAS) ≥50% is common in patients with acute ischemic cerebrovascular disease (AICVD), which portends a poor cardiovascular and cerebrovascular prognosis. Identifying ACAS ≥50% early may optimize the clinical management and improve the outcomes of th...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Xin, Kong, Qi, Wang, Chen, Rajah, Gary, Ding, Yu-Chuan, Zhang, Yu-Ren, Du, Xiang-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595764/
https://www.ncbi.nlm.nih.gov/pubmed/30958431
http://dx.doi.org/10.1097/CM9.0000000000000174
_version_ 1783430459098660864
author Ma, Xin
Kong, Qi
Wang, Chen
Rajah, Gary
Ding, Yu-Chuan
Zhang, Yu-Ren
Du, Xiang-Ying
author_facet Ma, Xin
Kong, Qi
Wang, Chen
Rajah, Gary
Ding, Yu-Chuan
Zhang, Yu-Ren
Du, Xiang-Ying
author_sort Ma, Xin
collection PubMed
description BACKGROUND: Asymptomatic coronary artery stenosis (ACAS) ≥50% is common in patients with acute ischemic cerebrovascular disease (AICVD), which portends a poor cardiovascular and cerebrovascular prognosis. Identifying ACAS ≥50% early may optimize the clinical management and improve the outcomes of these high-risk AICVD patients. This study aimed to investigate whether aortic arch plaque (AAP), an early atherosclerotic manifestation of brain blood-supplying arteries, could be a predictor for ACAS ≥50% in AICVD. METHODS: In this cross-sectional study, atherosclerosis of the coronary and brain blood-supplying arteries was simultaneously evaluated using one-step computed tomography angiography (CTA) in AICVD patients without coronary artery disease history. The patients were divided into ACAS ≥50% and non-ACAS ≥50% groups according to whether CTA showed stenosis ≥50% in at least one coronary arterial segment. The AAP characteristics of CTA were depicted from aspects of thickness, extent, and complexity. RESULTS: Among 118 analyzed patients with AICVD, 29/118 (24.6%) patients had ACAS ≥50%, while AAPs were observed in 86/118 (72.9%) patients. Increased AAP thickness per millimeter (adjusted odds ratio [OR]: 1.56, 95% confidence interval [CI]: 1.18–2.05), severe-extent AAP (adjusted OR: 13.66, 95% CI: 2.33–80.15), and presence of complex AAP (adjusted OR: 7.27, 95% CI: 2.30–23.03) were associated with ACAS ≥50% among patients with AICVD, independently of clinical demographics and cervicocephalic atherosclerotic stenosis. The combination of AAP thickness, extent, and complexity predicted ACAS ≥50% with an area under the receiver-operating characteristic curve of 0.78 (95% CI: 0.70–0.85, P < 0.001). All three AAP characteristics provided additional predictive power beyond cervical and intracranial atherosclerotic stenosis for ACAS ≥50% in AICVD (all P < 0.05). CONCLUSIONS: Thicker, severe-extent, and complex AAP were significant markers of the concomitant ACAS ≥50% in AICVD, possibly superior to the indicative value of cervical and intracranial atherosclerotic stenosis. As an integral part of atherosclerosis of brain blood-supplying arteries, AAP should not be overlooked in predicting ACAS ≥50% for patients with AICVD.
format Online
Article
Text
id pubmed-6595764
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Wolters Kluwer Health
record_format MEDLINE/PubMed
spelling pubmed-65957642019-07-02 Predicting asymptomatic coronary artery stenosis by aortic arch plaque in acute ischemic cerebrovascular disease: beyond the cervicocephalic atherosclerosis? Ma, Xin Kong, Qi Wang, Chen Rajah, Gary Ding, Yu-Chuan Zhang, Yu-Ren Du, Xiang-Ying Chin Med J (Engl) Original Articles BACKGROUND: Asymptomatic coronary artery stenosis (ACAS) ≥50% is common in patients with acute ischemic cerebrovascular disease (AICVD), which portends a poor cardiovascular and cerebrovascular prognosis. Identifying ACAS ≥50% early may optimize the clinical management and improve the outcomes of these high-risk AICVD patients. This study aimed to investigate whether aortic arch plaque (AAP), an early atherosclerotic manifestation of brain blood-supplying arteries, could be a predictor for ACAS ≥50% in AICVD. METHODS: In this cross-sectional study, atherosclerosis of the coronary and brain blood-supplying arteries was simultaneously evaluated using one-step computed tomography angiography (CTA) in AICVD patients without coronary artery disease history. The patients were divided into ACAS ≥50% and non-ACAS ≥50% groups according to whether CTA showed stenosis ≥50% in at least one coronary arterial segment. The AAP characteristics of CTA were depicted from aspects of thickness, extent, and complexity. RESULTS: Among 118 analyzed patients with AICVD, 29/118 (24.6%) patients had ACAS ≥50%, while AAPs were observed in 86/118 (72.9%) patients. Increased AAP thickness per millimeter (adjusted odds ratio [OR]: 1.56, 95% confidence interval [CI]: 1.18–2.05), severe-extent AAP (adjusted OR: 13.66, 95% CI: 2.33–80.15), and presence of complex AAP (adjusted OR: 7.27, 95% CI: 2.30–23.03) were associated with ACAS ≥50% among patients with AICVD, independently of clinical demographics and cervicocephalic atherosclerotic stenosis. The combination of AAP thickness, extent, and complexity predicted ACAS ≥50% with an area under the receiver-operating characteristic curve of 0.78 (95% CI: 0.70–0.85, P < 0.001). All three AAP characteristics provided additional predictive power beyond cervical and intracranial atherosclerotic stenosis for ACAS ≥50% in AICVD (all P < 0.05). CONCLUSIONS: Thicker, severe-extent, and complex AAP were significant markers of the concomitant ACAS ≥50% in AICVD, possibly superior to the indicative value of cervical and intracranial atherosclerotic stenosis. As an integral part of atherosclerosis of brain blood-supplying arteries, AAP should not be overlooked in predicting ACAS ≥50% for patients with AICVD. Wolters Kluwer Health 2019-04-20 2019-04-20 /pmc/articles/PMC6595764/ /pubmed/30958431 http://dx.doi.org/10.1097/CM9.0000000000000174 Text en Copyright © 2019 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Original Articles
Ma, Xin
Kong, Qi
Wang, Chen
Rajah, Gary
Ding, Yu-Chuan
Zhang, Yu-Ren
Du, Xiang-Ying
Predicting asymptomatic coronary artery stenosis by aortic arch plaque in acute ischemic cerebrovascular disease: beyond the cervicocephalic atherosclerosis?
title Predicting asymptomatic coronary artery stenosis by aortic arch plaque in acute ischemic cerebrovascular disease: beyond the cervicocephalic atherosclerosis?
title_full Predicting asymptomatic coronary artery stenosis by aortic arch plaque in acute ischemic cerebrovascular disease: beyond the cervicocephalic atherosclerosis?
title_fullStr Predicting asymptomatic coronary artery stenosis by aortic arch plaque in acute ischemic cerebrovascular disease: beyond the cervicocephalic atherosclerosis?
title_full_unstemmed Predicting asymptomatic coronary artery stenosis by aortic arch plaque in acute ischemic cerebrovascular disease: beyond the cervicocephalic atherosclerosis?
title_short Predicting asymptomatic coronary artery stenosis by aortic arch plaque in acute ischemic cerebrovascular disease: beyond the cervicocephalic atherosclerosis?
title_sort predicting asymptomatic coronary artery stenosis by aortic arch plaque in acute ischemic cerebrovascular disease: beyond the cervicocephalic atherosclerosis?
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595764/
https://www.ncbi.nlm.nih.gov/pubmed/30958431
http://dx.doi.org/10.1097/CM9.0000000000000174
work_keys_str_mv AT maxin predictingasymptomaticcoronaryarterystenosisbyaorticarchplaqueinacuteischemiccerebrovasculardiseasebeyondthecervicocephalicatherosclerosis
AT kongqi predictingasymptomaticcoronaryarterystenosisbyaorticarchplaqueinacuteischemiccerebrovasculardiseasebeyondthecervicocephalicatherosclerosis
AT wangchen predictingasymptomaticcoronaryarterystenosisbyaorticarchplaqueinacuteischemiccerebrovasculardiseasebeyondthecervicocephalicatherosclerosis
AT rajahgary predictingasymptomaticcoronaryarterystenosisbyaorticarchplaqueinacuteischemiccerebrovasculardiseasebeyondthecervicocephalicatherosclerosis
AT dingyuchuan predictingasymptomaticcoronaryarterystenosisbyaorticarchplaqueinacuteischemiccerebrovasculardiseasebeyondthecervicocephalicatherosclerosis
AT zhangyuren predictingasymptomaticcoronaryarterystenosisbyaorticarchplaqueinacuteischemiccerebrovasculardiseasebeyondthecervicocephalicatherosclerosis
AT duxiangying predictingasymptomaticcoronaryarterystenosisbyaorticarchplaqueinacuteischemiccerebrovasculardiseasebeyondthecervicocephalicatherosclerosis