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Analysis of Predictive Model of Coronary Vulnerable Plaque under Hemodynamic Numerical Simulation

OBJECTIVE: Vulnerable plaque is considered to be the cause of most clinical coronary arteries, and linear cytokines are an important factor causing plaque instability. Early prediction of vulnerable plaque is of great significance in the treatment of cardiovascular diseases. METHODS: Computational f...

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Detalles Bibliográficos
Autores principales: Song, Qiang, Chen, Mingwei, Shang, Jin, Hu, Zhi, Cai, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759851/
https://www.ncbi.nlm.nih.gov/pubmed/35035824
http://dx.doi.org/10.1155/2022/3434910
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author Song, Qiang
Chen, Mingwei
Shang, Jin
Hu, Zhi
Cai, Hui
author_facet Song, Qiang
Chen, Mingwei
Shang, Jin
Hu, Zhi
Cai, Hui
author_sort Song, Qiang
collection PubMed
description OBJECTIVE: Vulnerable plaque is considered to be the cause of most clinical coronary arteries, and linear cytokines are an important factor causing plaque instability. Early prediction of vulnerable plaque is of great significance in the treatment of cardiovascular diseases. METHODS: Computational fluid dynamics (CFD) was used to simulate the hemodynamics around plaques, and the serum biochemical markers in 224 patients with low-risk acute coronary syndrome (ACS) were analyzed. Vulnerable plaques were predicted according to the distribution of biochemical markers in serum. RESULTS: CFD can accurately capture the hemodynamic characteristics around the plaque. The patient's age, history of hyperlipidemia, apolipoprotein B (apoB), adiponectin (ADP), and sE-Selection were risk factors for vulnerable plaque. Area under curve (AUC) values corresponding to the five biochemical markers were 0.601, 0.523, 0.562, 0.519, 0.539, and the AUC value after the combination of the five indicators was 0.826. CONCLUSION: The combination of multiple biochemical markers to predict vulnerable plaque was of high diagnostic value, and this method was convenient and noninvasive, which was worthy of clinical promotion.
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spelling pubmed-87598512022-01-15 Analysis of Predictive Model of Coronary Vulnerable Plaque under Hemodynamic Numerical Simulation Song, Qiang Chen, Mingwei Shang, Jin Hu, Zhi Cai, Hui J Healthc Eng Research Article OBJECTIVE: Vulnerable plaque is considered to be the cause of most clinical coronary arteries, and linear cytokines are an important factor causing plaque instability. Early prediction of vulnerable plaque is of great significance in the treatment of cardiovascular diseases. METHODS: Computational fluid dynamics (CFD) was used to simulate the hemodynamics around plaques, and the serum biochemical markers in 224 patients with low-risk acute coronary syndrome (ACS) were analyzed. Vulnerable plaques were predicted according to the distribution of biochemical markers in serum. RESULTS: CFD can accurately capture the hemodynamic characteristics around the plaque. The patient's age, history of hyperlipidemia, apolipoprotein B (apoB), adiponectin (ADP), and sE-Selection were risk factors for vulnerable plaque. Area under curve (AUC) values corresponding to the five biochemical markers were 0.601, 0.523, 0.562, 0.519, 0.539, and the AUC value after the combination of the five indicators was 0.826. CONCLUSION: The combination of multiple biochemical markers to predict vulnerable plaque was of high diagnostic value, and this method was convenient and noninvasive, which was worthy of clinical promotion. Hindawi 2022-01-07 /pmc/articles/PMC8759851/ /pubmed/35035824 http://dx.doi.org/10.1155/2022/3434910 Text en Copyright © 2022 Qiang Song et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Song, Qiang
Chen, Mingwei
Shang, Jin
Hu, Zhi
Cai, Hui
Analysis of Predictive Model of Coronary Vulnerable Plaque under Hemodynamic Numerical Simulation
title Analysis of Predictive Model of Coronary Vulnerable Plaque under Hemodynamic Numerical Simulation
title_full Analysis of Predictive Model of Coronary Vulnerable Plaque under Hemodynamic Numerical Simulation
title_fullStr Analysis of Predictive Model of Coronary Vulnerable Plaque under Hemodynamic Numerical Simulation
title_full_unstemmed Analysis of Predictive Model of Coronary Vulnerable Plaque under Hemodynamic Numerical Simulation
title_short Analysis of Predictive Model of Coronary Vulnerable Plaque under Hemodynamic Numerical Simulation
title_sort analysis of predictive model of coronary vulnerable plaque under hemodynamic numerical simulation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759851/
https://www.ncbi.nlm.nih.gov/pubmed/35035824
http://dx.doi.org/10.1155/2022/3434910
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