Risk factors for in-hospital death in 2,179 patients with acute aortic dissection
This study aims to investigate the risk factors for in-hospital death in patients with acute aortic dissection (AAD) and to provide a straightforward prediction model to assist clinicians in determining the outcome of AAD patients. Retrospective analysis was carried out on 2,179 patients admitted fo...
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Published in | Frontiers in cardiovascular medicine Vol. 10; p. 1159475 |
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Language | English |
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Abstract | This study aims to investigate the risk factors for in-hospital death in patients with acute aortic dissection (AAD) and to provide a straightforward prediction model to assist clinicians in determining the outcome of AAD patients.
Retrospective analysis was carried out on 2,179 patients admitted for AAD from March 5, 1999 to April 20, 2018 in Wuhan Union Hospital, China. The risk factors were investigated with univariate and multivariable logistic regression analysis.
The patients were divided into two groups: Group A, 953patients (43.7%) with type A AAD; Group B, 1,226 patients (56.3%) with type B AAD. The overall in-hospital mortality rate was 20.3% (194/953) and 4% (50/1,226) in Group A and B respectively. The multivariable analysis included the variables that were statistically significant predictors of in-hospital death (
< 0.05). In Group A, hypotension (OR = 2.01,
= 0.001) and liver dysfunction (OR = 12.95,
< 0.001) were independent risk factors. Tachycardia (OR = 6.08,
< 0.001) and liver dysfunction (OR = 6.36,
< 0.05) were independent risk factors for Group B mortality. The risk factors of Group A were assigned a score equal to their coefficients, and the score of -0.5 was the best point of the risk prediction model. Based on this analysis, we derived a predictive model to help clinicians determine the prognosis of type A AAD patients.
This study investigate the independent factors associated with in-hospital death in patients with type A or B aortic dissection, respectively. In addition, we develop the prediction of the prognosis for type A patients and assist clinicians in choosing treatment strategies. |
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AbstractList | This study aims to investigate the risk factors for in-hospital death in patients with acute aortic dissection (AAD) and to provide a straightforward prediction model to assist clinicians in determining the outcome of AAD patients.
Retrospective analysis was carried out on 2,179 patients admitted for AAD from March 5, 1999 to April 20, 2018 in Wuhan Union Hospital, China. The risk factors were investigated with univariate and multivariable logistic regression analysis.
The patients were divided into two groups: Group A, 953patients (43.7%) with type A AAD; Group B, 1,226 patients (56.3%) with type B AAD. The overall in-hospital mortality rate was 20.3% (194/953) and 4% (50/1,226) in Group A and B respectively. The multivariable analysis included the variables that were statistically significant predictors of in-hospital death (
< 0.05). In Group A, hypotension (OR = 2.01,
= 0.001) and liver dysfunction (OR = 12.95,
< 0.001) were independent risk factors. Tachycardia (OR = 6.08,
< 0.001) and liver dysfunction (OR = 6.36,
< 0.05) were independent risk factors for Group B mortality. The risk factors of Group A were assigned a score equal to their coefficients, and the score of -0.5 was the best point of the risk prediction model. Based on this analysis, we derived a predictive model to help clinicians determine the prognosis of type A AAD patients.
This study investigate the independent factors associated with in-hospital death in patients with type A or B aortic dissection, respectively. In addition, we develop the prediction of the prognosis for type A patients and assist clinicians in choosing treatment strategies. This study aims to investigate the risk factors for in-hospital death in patients with acute aortic dissection (AAD) and to provide a straightforward prediction model to assist clinicians in determining the outcome of AAD patients.BackgroundThis study aims to investigate the risk factors for in-hospital death in patients with acute aortic dissection (AAD) and to provide a straightforward prediction model to assist clinicians in determining the outcome of AAD patients.Retrospective analysis was carried out on 2,179 patients admitted for AAD from March 5, 1999 to April 20, 2018 in Wuhan Union Hospital, China. The risk factors were investigated with univariate and multivariable logistic regression analysis.MethodsRetrospective analysis was carried out on 2,179 patients admitted for AAD from March 5, 1999 to April 20, 2018 in Wuhan Union Hospital, China. The risk factors were investigated with univariate and multivariable logistic regression analysis.The patients were divided into two groups: Group A, 953patients (43.7%) with type A AAD; Group B, 1,226 patients (56.3%) with type B AAD. The overall in-hospital mortality rate was 20.3% (194/953) and 4% (50/1,226) in Group A and B respectively. The multivariable analysis included the variables that were statistically significant predictors of in-hospital death (P < 0.05). In Group A, hypotension (OR = 2.01, P = 0.001) and liver dysfunction (OR = 12.95, P < 0.001) were independent risk factors. Tachycardia (OR = 6.08, P < 0.001) and liver dysfunction (OR = 6.36, P < 0.05) were independent risk factors for Group B mortality. The risk factors of Group A were assigned a score equal to their coefficients, and the score of -0.5 was the best point of the risk prediction model. Based on this analysis, we derived a predictive model to help clinicians determine the prognosis of type A AAD patients.ResultsThe patients were divided into two groups: Group A, 953patients (43.7%) with type A AAD; Group B, 1,226 patients (56.3%) with type B AAD. The overall in-hospital mortality rate was 20.3% (194/953) and 4% (50/1,226) in Group A and B respectively. The multivariable analysis included the variables that were statistically significant predictors of in-hospital death (P < 0.05). In Group A, hypotension (OR = 2.01, P = 0.001) and liver dysfunction (OR = 12.95, P < 0.001) were independent risk factors. Tachycardia (OR = 6.08, P < 0.001) and liver dysfunction (OR = 6.36, P < 0.05) were independent risk factors for Group B mortality. The risk factors of Group A were assigned a score equal to their coefficients, and the score of -0.5 was the best point of the risk prediction model. Based on this analysis, we derived a predictive model to help clinicians determine the prognosis of type A AAD patients.This study investigate the independent factors associated with in-hospital death in patients with type A or B aortic dissection, respectively. In addition, we develop the prediction of the prognosis for type A patients and assist clinicians in choosing treatment strategies.ConclusionsThis study investigate the independent factors associated with in-hospital death in patients with type A or B aortic dissection, respectively. In addition, we develop the prediction of the prognosis for type A patients and assist clinicians in choosing treatment strategies. BackgroundThis study aims to investigate the risk factors for in-hospital death in patients with acute aortic dissection (AAD) and to provide a straightforward prediction model to assist clinicians in determining the outcome of AAD patients.MethodsRetrospective analysis was carried out on 2,179 patients admitted for AAD from March 5, 1999 to April 20, 2018 in Wuhan Union Hospital, China. The risk factors were investigated with univariate and multivariable logistic regression analysis.ResultsThe patients were divided into two groups: Group A, 953patients (43.7%) with type A AAD; Group B, 1,226 patients (56.3%) with type B AAD. The overall in-hospital mortality rate was 20.3% (194/953) and 4% (50/1,226) in Group A and B respectively. The multivariable analysis included the variables that were statistically significant predictors of in-hospital death (P < 0.05). In Group A, hypotension (OR = 2.01, P = 0.001) and liver dysfunction (OR = 12.95, P < 0.001) were independent risk factors. Tachycardia (OR = 6.08, P < 0.001) and liver dysfunction (OR = 6.36, P < 0.05) were independent risk factors for Group B mortality. The risk factors of Group A were assigned a score equal to their coefficients, and the score of −0.5 was the best point of the risk prediction model. Based on this analysis, we derived a predictive model to help clinicians determine the prognosis of type A AAD patients.ConclusionsThis study investigate the independent factors associated with in-hospital death in patients with type A or B aortic dissection, respectively. In addition, we develop the prediction of the prognosis for type A patients and assist clinicians in choosing treatment strategies. |
Author | Chai, Chen Zhang, Xiaowei Wu, Long Sun, Qi Xia, Zhiyu Wang, Lei Wang, Wendan Tang, Zehai Yuan, Yue Wang, Tiantian |
AuthorAffiliation | 4 Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China 2 Department of Urology, Tongji Hospital, Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China 3 Department of Emergency Medicine , Zhongnan Hospital of Wuhan University , Wuhan , China 1 Department of Emergency Medicine, Union Hospital, Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China |
AuthorAffiliation_xml | – name: 3 Department of Emergency Medicine , Zhongnan Hospital of Wuhan University , Wuhan , China – name: 2 Department of Urology, Tongji Hospital, Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China – name: 1 Department of Emergency Medicine, Union Hospital, Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China – name: 4 Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China |
Author_xml | – sequence: 1 givenname: Yue surname: Yuan fullname: Yuan, Yue – sequence: 2 givenname: Zhiyu surname: Xia fullname: Xia, Zhiyu – sequence: 3 givenname: Lei surname: Wang fullname: Wang, Lei – sequence: 4 givenname: Qi surname: Sun fullname: Sun, Qi – sequence: 5 givenname: Wendan surname: Wang fullname: Wang, Wendan – sequence: 6 givenname: Chen surname: Chai fullname: Chai, Chen – sequence: 7 givenname: Tiantian surname: Wang fullname: Wang, Tiantian – sequence: 8 givenname: Xiaowei surname: Zhang fullname: Zhang, Xiaowei – sequence: 9 givenname: Long surname: Wu fullname: Wu, Long – sequence: 10 givenname: Zehai surname: Tang fullname: Tang, Zehai |
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Cites_doi | 10.1016/s0140-6736(08)60994-0 10.1016/j.avsg.2020.12.016 10.1016/j.hlc.2014.10.009 10.1001/jama.283.7.897 10.1161/JAHA.117.007618 10.1136/heartjnl-2015-308284 10.1016/j.ijcard.2012.07.008 10.1016/j.jacc.2019.07.063 10.3389/fcvm.2021.727773 10.1161/CIRCULATIONAHA.110.988568 10.1016/s0140-6736(14)61005-9 10.1378/chest.117.5.1271 10.1038/nrcardio.2010.187 10.1016/j.athoracsur.2018.05.072 10.1016/j.jacc.2021.08.058 10.1093/eurheartj/ehu281 10.1371/journal.pone.0142697 10.1016/s2352-3026(17)30014-5 10.1161/JAHA.111.000323 10.3109/14017431.2014.893684 10.1016/j.surg.2010.05.014 10.1016/j.ejvs.2011.12.026 10.1016/j.jacc.2015.05.029 10.3238/arztebl.2008.0639 10.1161/CIRCULATIONAHA.117.029457 |
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Copyright | 2023 Yuan, Xia, Wang, Sun, Wang, Chai, Wang, Zhang, Wu and Tang. 2023 Yuan, Xia, Wang, Sun, Wang, Chai, Wang, Zhang, Wu and Tang. 2023 Yuan, Xia, Wang, Sun, Wang, Chai, Wang, Zhang, Wu and Tang |
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Keywords | surgical treatment the risk prediction model acute aortic dissection admission time in-hospital death |
Language | English |
License | 2023 Yuan, Xia, Wang, Sun, Wang, Chai, Wang, Zhang, Wu and Tang. 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. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 These authors have contributed equally to this work and share first authorship Reviewed by: Alexandre Soeiro, University of São Paulo, Brazil Chen Yequn, Shantou University, China Edited by: Remo Furtado, Brazilian Clinical Research Institute, Brazil |
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Snippet | This study aims to investigate the risk factors for in-hospital death in patients with acute aortic dissection (AAD) and to provide a straightforward... BackgroundThis study aims to investigate the risk factors for in-hospital death in patients with acute aortic dissection (AAD) and to provide a straightforward... |
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SubjectTerms | acute aortic dissection admission time Cardiovascular Medicine in-hospital death surgical treatment the risk prediction model |
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Title | Risk factors for in-hospital death in 2,179 patients with acute aortic dissection |
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