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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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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. |
format | Online Article Text |
id | pubmed-8759851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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