Literature DB >> 33118364

Long-Term Prognostic Value of Coronary Atherosclerotic Plaque Characteristics Assessed by Computerized Tomographic Angiography.

Ahmet Hakan Ateş1, Hikmet Yorgun1, Uğur Canpolat1, Ergun Baris Kaya1, Levent Şahiner1, Tuncay Hazirolan2, Muhammet Dural3, Metin Okşul1, Yusuf Ziya Şener1, Sevilay Karahan4, Kudret Aytemir1.   

Abstract

We aimed to present the long-term prognostic role of coronary computed tomography angiography (CTA) in a cohort of patients with coronary artery disease (CAD) and noncritical stenosis. A total of 1138 patients who underwent coronary CTA for suspected CAD were included in the study. For the categorization of the coronary atherosclerotic plaque (CAP), the coronary system was divided into 16 segments. For each segment, CAPs were categorized as calcified, noncalcified, and mixed. All-cause and cardiovascular (CV) mortality data were collected for prognostic evaluation. Coronary CTA analyses showed that 34.5% of patients had noncalcified CAP, 14.5% of patients had calcified CAP, and 11% of patients had mixed CAP. During a median of 141.5 months follow-up, CV and all-cause mortality was observed in 57 (5%) and 149 (13.1%) patients, respectively. In multivariable Cox regression analysis, calcified CAP morphology and the extent of involved segments were significant predictors of both CV and all-cause mortality. The presence of calcified CAP morphology and the higher number of diseased coronary segments via coronary CTA might help stratify patients at risk for adverse CV outcomes during long-term follow-up. Patients with these features at index coronary CTA may be evaluated more closely with aggressive preventive measures.

Entities:  

Keywords:  computerized tomography; coronary atherosclerotic plaque; mortality; prognosis

Year:  2020        PMID: 33118364     DOI: 10.1177/0003319720963677

Source DB:  PubMed          Journal:  Angiology        ISSN: 0003-3197            Impact factor:   3.619


  1 in total

Review 1.  Artificial Intelligence-A Good Assistant to Multi-Modality Imaging in Managing Acute Coronary Syndrome.

Authors:  Ming-Hao Liu; Chen Zhao; Shengfang Wang; Haibo Jia; Bo Yu
Journal:  Front Cardiovasc Med       Date:  2022-02-16
  1 in total

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