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Size Distribution of Microparticles: A New Parameter to Predict Acute Lung Injury After Cardiac Surgery With Cardiopulmonary Bypass
BACKGROUND: Acute lung injury (ALI) is a common complication after cardiac surgery with cardiopulmonary bypass (CPB). No precise way, however, is currently available to predict its occurrence. We and others have demonstrated that microparticles (MPs) can induce ALI and were increased in patients wit...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098995/ https://www.ncbi.nlm.nih.gov/pubmed/35571221 http://dx.doi.org/10.3389/fcvm.2022.893609 |
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author | Yuan, Hao-Xiang Liang, Kai-Feng Chen, Chao Li, Yu-Quan Liu, Xiao-Jun Chen, Ya-Ting Jian, Yu-Peng Liu, Jia-Sheng Xu, Ying-Qi Ou, Zhi-Jun Li, Yan Ou, Jing-Song |
author_facet | Yuan, Hao-Xiang Liang, Kai-Feng Chen, Chao Li, Yu-Quan Liu, Xiao-Jun Chen, Ya-Ting Jian, Yu-Peng Liu, Jia-Sheng Xu, Ying-Qi Ou, Zhi-Jun Li, Yan Ou, Jing-Song |
author_sort | Yuan, Hao-Xiang |
collection | PubMed |
description | BACKGROUND: Acute lung injury (ALI) is a common complication after cardiac surgery with cardiopulmonary bypass (CPB). No precise way, however, is currently available to predict its occurrence. We and others have demonstrated that microparticles (MPs) can induce ALI and were increased in patients with ALI. However, whether MPs can be used to predict ALI after cardiac surgery with CPB remains unknown. METHODS: In this prospective study, 103 patients undergoing cardiac surgery with CPB and 53 healthy subjects were enrolled. MPs were isolated from the plasma before, 12 h after, and 3 d after surgery. The size distributions of MPs were measured by the LitesizerTM 500 Particle Analyzer. The patients were divided into two subgroups (ALI and non-ALI) according to the diagnosis of ALI. Descriptive and correlational analyzes were conducted between the size distribution of MPs and clinical data. RESULTS: Compared to the non-ALI group, the size at peak and interquartile range (IQR) of MPs in patients with ALI were smaller, but the peak intensity of MPs is higher. Multivariate logistic regression analysis indicated that the size at peak of MPs at postoperative 12 h was an independent risk factor for ALI. The area under the curve (AUC) of peak diameter at postoperative 12 h was 0.803. The best cutoff value of peak diameter to diagnose ALI was 223.05 nm with a sensitivity of 88.0% and a negative predictive value of 94.5%. The AUC of IQR at postoperative 12 h was 0.717. The best cutoff value of IQR to diagnose ALI was 132.65 nm with a sensitivity of 88.0% and a negative predictive value of 92.5%. Combining these two parameters, the sensitivity reached 92% and the negative predictive value was 96%. CONCLUSIONS: Our findings suggested that the size distribution of MPs could be a novel biomarker to predict and exclude ALI after cardiac surgery with CPB. |
format | Online Article Text |
id | pubmed-9098995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90989952022-05-14 Size Distribution of Microparticles: A New Parameter to Predict Acute Lung Injury After Cardiac Surgery With Cardiopulmonary Bypass Yuan, Hao-Xiang Liang, Kai-Feng Chen, Chao Li, Yu-Quan Liu, Xiao-Jun Chen, Ya-Ting Jian, Yu-Peng Liu, Jia-Sheng Xu, Ying-Qi Ou, Zhi-Jun Li, Yan Ou, Jing-Song Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: Acute lung injury (ALI) is a common complication after cardiac surgery with cardiopulmonary bypass (CPB). No precise way, however, is currently available to predict its occurrence. We and others have demonstrated that microparticles (MPs) can induce ALI and were increased in patients with ALI. However, whether MPs can be used to predict ALI after cardiac surgery with CPB remains unknown. METHODS: In this prospective study, 103 patients undergoing cardiac surgery with CPB and 53 healthy subjects were enrolled. MPs were isolated from the plasma before, 12 h after, and 3 d after surgery. The size distributions of MPs were measured by the LitesizerTM 500 Particle Analyzer. The patients were divided into two subgroups (ALI and non-ALI) according to the diagnosis of ALI. Descriptive and correlational analyzes were conducted between the size distribution of MPs and clinical data. RESULTS: Compared to the non-ALI group, the size at peak and interquartile range (IQR) of MPs in patients with ALI were smaller, but the peak intensity of MPs is higher. Multivariate logistic regression analysis indicated that the size at peak of MPs at postoperative 12 h was an independent risk factor for ALI. The area under the curve (AUC) of peak diameter at postoperative 12 h was 0.803. The best cutoff value of peak diameter to diagnose ALI was 223.05 nm with a sensitivity of 88.0% and a negative predictive value of 94.5%. The AUC of IQR at postoperative 12 h was 0.717. The best cutoff value of IQR to diagnose ALI was 132.65 nm with a sensitivity of 88.0% and a negative predictive value of 92.5%. Combining these two parameters, the sensitivity reached 92% and the negative predictive value was 96%. CONCLUSIONS: Our findings suggested that the size distribution of MPs could be a novel biomarker to predict and exclude ALI after cardiac surgery with CPB. Frontiers Media S.A. 2022-04-29 /pmc/articles/PMC9098995/ /pubmed/35571221 http://dx.doi.org/10.3389/fcvm.2022.893609 Text en Copyright © 2022 Yuan, Liang, Chen, Li, Liu, Chen, Jian, Liu, Xu, Ou, Li and Ou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Yuan, Hao-Xiang Liang, Kai-Feng Chen, Chao Li, Yu-Quan Liu, Xiao-Jun Chen, Ya-Ting Jian, Yu-Peng Liu, Jia-Sheng Xu, Ying-Qi Ou, Zhi-Jun Li, Yan Ou, Jing-Song Size Distribution of Microparticles: A New Parameter to Predict Acute Lung Injury After Cardiac Surgery With Cardiopulmonary Bypass |
title | Size Distribution of Microparticles: A New Parameter to Predict Acute Lung Injury After Cardiac Surgery With Cardiopulmonary Bypass |
title_full | Size Distribution of Microparticles: A New Parameter to Predict Acute Lung Injury After Cardiac Surgery With Cardiopulmonary Bypass |
title_fullStr | Size Distribution of Microparticles: A New Parameter to Predict Acute Lung Injury After Cardiac Surgery With Cardiopulmonary Bypass |
title_full_unstemmed | Size Distribution of Microparticles: A New Parameter to Predict Acute Lung Injury After Cardiac Surgery With Cardiopulmonary Bypass |
title_short | Size Distribution of Microparticles: A New Parameter to Predict Acute Lung Injury After Cardiac Surgery With Cardiopulmonary Bypass |
title_sort | size distribution of microparticles: a new parameter to predict acute lung injury after cardiac surgery with cardiopulmonary bypass |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098995/ https://www.ncbi.nlm.nih.gov/pubmed/35571221 http://dx.doi.org/10.3389/fcvm.2022.893609 |
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