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Association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type A acute aortic dissection

The aim of this study was to analyze the role of blood biomarkers regarding preoperative inflammation and coagulation in predicting the postoperative in-hospital mortality of patients with type A acute aortic dissection (AAD). A total of 206 patients with type A AAD who had received surgical treatme...

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Autores principales: Li, Ming, Xu, Suochun, Yan, Yang, Wang, Haichen, Zheng, Jianjie, Li, Yongxin, Zhang, Yongjian, Hao, Junjun, Deng, Chao, Zheng, Xinglong, Liu, Miaomiao, Gao, Yang, Wang, Xue, Xue, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455536/
https://www.ncbi.nlm.nih.gov/pubmed/34548604
http://dx.doi.org/10.1038/s41598-021-98298-w
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author Li, Ming
Xu, Suochun
Yan, Yang
Wang, Haichen
Zheng, Jianjie
Li, Yongxin
Zhang, Yongjian
Hao, Junjun
Deng, Chao
Zheng, Xinglong
Liu, Miaomiao
Gao, Yang
Wang, Xue
Xue, Li
author_facet Li, Ming
Xu, Suochun
Yan, Yang
Wang, Haichen
Zheng, Jianjie
Li, Yongxin
Zhang, Yongjian
Hao, Junjun
Deng, Chao
Zheng, Xinglong
Liu, Miaomiao
Gao, Yang
Wang, Xue
Xue, Li
author_sort Li, Ming
collection PubMed
description The aim of this study was to analyze the role of blood biomarkers regarding preoperative inflammation and coagulation in predicting the postoperative in-hospital mortality of patients with type A acute aortic dissection (AAD). A total of 206 patients with type A AAD who had received surgical treatment were enrolled in this study. Patients were divided into two groups: the death group (28 patients who died during hospitalization) and the survival group (178 patients). Peripheral blood samples were collected before anesthesia induction. Preoperative levels of D-dimer, fibrinogen (FIB), platelet (PLT), white blood cells (WBC) and neutrophil (NEU) were compared between the two groups. Univariable and multivariable logistic regression analysis were utilized to identify the independent risk factors for postoperative in-hospital deaths of patients with type A AAD. Receiver operating characteristic (ROC) curve were used to analyze the predictive value of these indices in the postoperative in-hospital mortality of the patients. Univariable logistic regression analysis showed that the P values of the five parameters including D-dimer, FIB, PLT, WBC and NEU were all less than 0.1, which may be risk factors for postoperative in-hospital deaths of patients with type A AAD. Further multivariable logistic regression analysis indicated that higher preoperative D-dimer and WBC levels were independent risk factors for postoperative in-hospital mortality of patients with type A AAD. ROC curve analysis indicated that application of combining FIB and PLT could improve accuracy in prediction of postoperative in-hospital mortality in patients with type A AAD. Both preoperative D-dimer and WBC in patients with type A AAD may be used as independent risk factors for the postoperative in-hospital mortality of such patients. The combination of FIB and PLT may improve the accuracy of clinical prognostic assessment.
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spelling pubmed-84555362021-09-22 Association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type A acute aortic dissection Li, Ming Xu, Suochun Yan, Yang Wang, Haichen Zheng, Jianjie Li, Yongxin Zhang, Yongjian Hao, Junjun Deng, Chao Zheng, Xinglong Liu, Miaomiao Gao, Yang Wang, Xue Xue, Li Sci Rep Article The aim of this study was to analyze the role of blood biomarkers regarding preoperative inflammation and coagulation in predicting the postoperative in-hospital mortality of patients with type A acute aortic dissection (AAD). A total of 206 patients with type A AAD who had received surgical treatment were enrolled in this study. Patients were divided into two groups: the death group (28 patients who died during hospitalization) and the survival group (178 patients). Peripheral blood samples were collected before anesthesia induction. Preoperative levels of D-dimer, fibrinogen (FIB), platelet (PLT), white blood cells (WBC) and neutrophil (NEU) were compared between the two groups. Univariable and multivariable logistic regression analysis were utilized to identify the independent risk factors for postoperative in-hospital deaths of patients with type A AAD. Receiver operating characteristic (ROC) curve were used to analyze the predictive value of these indices in the postoperative in-hospital mortality of the patients. Univariable logistic regression analysis showed that the P values of the five parameters including D-dimer, FIB, PLT, WBC and NEU were all less than 0.1, which may be risk factors for postoperative in-hospital deaths of patients with type A AAD. Further multivariable logistic regression analysis indicated that higher preoperative D-dimer and WBC levels were independent risk factors for postoperative in-hospital mortality of patients with type A AAD. ROC curve analysis indicated that application of combining FIB and PLT could improve accuracy in prediction of postoperative in-hospital mortality in patients with type A AAD. Both preoperative D-dimer and WBC in patients with type A AAD may be used as independent risk factors for the postoperative in-hospital mortality of such patients. The combination of FIB and PLT may improve the accuracy of clinical prognostic assessment. Nature Publishing Group UK 2021-09-21 /pmc/articles/PMC8455536/ /pubmed/34548604 http://dx.doi.org/10.1038/s41598-021-98298-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Li, Ming
Xu, Suochun
Yan, Yang
Wang, Haichen
Zheng, Jianjie
Li, Yongxin
Zhang, Yongjian
Hao, Junjun
Deng, Chao
Zheng, Xinglong
Liu, Miaomiao
Gao, Yang
Wang, Xue
Xue, Li
Association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type A acute aortic dissection
title Association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type A acute aortic dissection
title_full Association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type A acute aortic dissection
title_fullStr Association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type A acute aortic dissection
title_full_unstemmed Association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type A acute aortic dissection
title_short Association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type A acute aortic dissection
title_sort association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type a acute aortic dissection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455536/
https://www.ncbi.nlm.nih.gov/pubmed/34548604
http://dx.doi.org/10.1038/s41598-021-98298-w
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