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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.
Affiliation
  • Ma X; Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Kong Q; Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Wang C; Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Rajah G; Department of Neurosurgery, Wayne State University School of Medicine, Detroit 48201, USA.
  • Ding YC; Department of Neurosurgery, Wayne State University School of Medicine, Detroit 48201, USA.
  • Zhang YR; Department of Biostatistics, Yale University School of Public Health, New Haven 06520, USA.
  • Du XY; Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Chin Med J (Engl) ; 132(8): 905-913, 2019 Apr 20.
Article in En | MEDLINE | ID: mdl-30958431
ABSTRACT

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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aorta, Thoracic / Cerebrovascular Disorders / Coronary Stenosis / Plaque, Atherosclerotic Type of study: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Chin Med J (Engl) Year: 2019 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aorta, Thoracic / Cerebrovascular Disorders / Coronary Stenosis / Plaque, Atherosclerotic Type of study: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Chin Med J (Engl) Year: 2019 Document type: Article Affiliation country: China