Predictive Factors of Mortality in Acute Aortic Dissection and Validity of the EuroSCORE Algorithm in a Small-Sized Cardiac Surgery Institution

Detalhes bibliográficos
Autor(a) principal: Rios,Facundo
Data de Publicação: 2020
Outros Autores: Perez,Diego, Soca,Gerardo, Robaina,Ricardo, Dayan,Victor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Cardiovascular Surgery (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-76382020000600878
Resumo: Abstract Introduction: Acute aortic dissection (AAD) is a devastating surgical emergency, with high operative mortality. Several scoring algorithms have been used to establish the expected mortality in these patients. Our objective was to define the predictive factors for mortality in our center and to validate the EuroSCORE and Penn classification system. Methods: Patients who underwent surgery for AAD from 2006 to 2016 were retrieved from the institution’s database. Preoperative, operative and postoperative variables were collected. Observed and expected mortality was calculated by EuroSCORE. Logistic regression analysis and Cox regression analysis were performed to find predictors of operative mortality and survival, respectively. The receiver operating characteristic (ROC) curves were plotted for logistic EuroSCORE, and the area under the ROC curve (AUC) was calculated. Results: 87 patients (27.6% female) underwent surgery for AAD. The mean age was 58.6±9.7 years. Expected and observed operative mortality was 25.8±15.1% and 20.7%, respectively. Penn Aa, Ab and Abc shared similar observed/expected (O/E) mortality ratio. The only independent predictor of operative mortality (OR: 3.63; 95% CI: 1.19-11.09) and survival (HR: 2.6; 95% CI: 1.5-4.8) was female gender. EuroSCORE showed a very poor prediction capacity, with an AUC=0.566. Conclusion: Female gender was the only independent predictor of operative mortality and survival in our institution. EuroSCORE is a poor scoring algorithm to predict mortality in AAD, but with consistent results for Penn Aa, Ab and Abc.
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spelling Predictive Factors of Mortality in Acute Aortic Dissection and Validity of the EuroSCORE Algorithm in a Small-Sized Cardiac Surgery InstitutionROC Curve. AneurysmDissecting. Postoperative Period. Coronary Artery BypassAbstract Introduction: Acute aortic dissection (AAD) is a devastating surgical emergency, with high operative mortality. Several scoring algorithms have been used to establish the expected mortality in these patients. Our objective was to define the predictive factors for mortality in our center and to validate the EuroSCORE and Penn classification system. Methods: Patients who underwent surgery for AAD from 2006 to 2016 were retrieved from the institution’s database. Preoperative, operative and postoperative variables were collected. Observed and expected mortality was calculated by EuroSCORE. Logistic regression analysis and Cox regression analysis were performed to find predictors of operative mortality and survival, respectively. The receiver operating characteristic (ROC) curves were plotted for logistic EuroSCORE, and the area under the ROC curve (AUC) was calculated. Results: 87 patients (27.6% female) underwent surgery for AAD. The mean age was 58.6±9.7 years. Expected and observed operative mortality was 25.8±15.1% and 20.7%, respectively. Penn Aa, Ab and Abc shared similar observed/expected (O/E) mortality ratio. The only independent predictor of operative mortality (OR: 3.63; 95% CI: 1.19-11.09) and survival (HR: 2.6; 95% CI: 1.5-4.8) was female gender. EuroSCORE showed a very poor prediction capacity, with an AUC=0.566. Conclusion: Female gender was the only independent predictor of operative mortality and survival in our institution. EuroSCORE is a poor scoring algorithm to predict mortality in AAD, but with consistent results for Penn Aa, Ab and Abc.Sociedade Brasileira de Cirurgia Cardiovascular2020-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-76382020000600878Brazilian Journal of Cardiovascular Surgery v.35 n.6 2020reponame:Brazilian Journal of Cardiovascular Surgery (Online)instname:Sociedade Brasileira de Cirurgia Cardiovascular (SBCCV)instacron:SBCCV10.21470/1678-9741-2020-0053info:eu-repo/semantics/openAccessRios,FacundoPerez,DiegoSoca,GerardoRobaina,RicardoDayan,Victoreng2021-02-26T00:00:00Zoai:scielo:S0102-76382020000600878Revistahttp://www.rbccv.org.br/https://old.scielo.br/oai/scielo-oai.php||rosangela.monteiro@incor.usp.br|| domingo@braile.com.br|| brandau@braile.com.br1678-97410102-7638opendoar:2021-02-26T00:00Brazilian Journal of Cardiovascular Surgery (Online) - Sociedade Brasileira de Cirurgia Cardiovascular (SBCCV)false
dc.title.none.fl_str_mv Predictive Factors of Mortality in Acute Aortic Dissection and Validity of the EuroSCORE Algorithm in a Small-Sized Cardiac Surgery Institution
title Predictive Factors of Mortality in Acute Aortic Dissection and Validity of the EuroSCORE Algorithm in a Small-Sized Cardiac Surgery Institution
spellingShingle Predictive Factors of Mortality in Acute Aortic Dissection and Validity of the EuroSCORE Algorithm in a Small-Sized Cardiac Surgery Institution
Rios,Facundo
ROC Curve. Aneurysm
Dissecting. Postoperative Period. Coronary Artery Bypass
title_short Predictive Factors of Mortality in Acute Aortic Dissection and Validity of the EuroSCORE Algorithm in a Small-Sized Cardiac Surgery Institution
title_full Predictive Factors of Mortality in Acute Aortic Dissection and Validity of the EuroSCORE Algorithm in a Small-Sized Cardiac Surgery Institution
title_fullStr Predictive Factors of Mortality in Acute Aortic Dissection and Validity of the EuroSCORE Algorithm in a Small-Sized Cardiac Surgery Institution
title_full_unstemmed Predictive Factors of Mortality in Acute Aortic Dissection and Validity of the EuroSCORE Algorithm in a Small-Sized Cardiac Surgery Institution
title_sort Predictive Factors of Mortality in Acute Aortic Dissection and Validity of the EuroSCORE Algorithm in a Small-Sized Cardiac Surgery Institution
author Rios,Facundo
author_facet Rios,Facundo
Perez,Diego
Soca,Gerardo
Robaina,Ricardo
Dayan,Victor
author_role author
author2 Perez,Diego
Soca,Gerardo
Robaina,Ricardo
Dayan,Victor
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Rios,Facundo
Perez,Diego
Soca,Gerardo
Robaina,Ricardo
Dayan,Victor
dc.subject.por.fl_str_mv ROC Curve. Aneurysm
Dissecting. Postoperative Period. Coronary Artery Bypass
topic ROC Curve. Aneurysm
Dissecting. Postoperative Period. Coronary Artery Bypass
description Abstract Introduction: Acute aortic dissection (AAD) is a devastating surgical emergency, with high operative mortality. Several scoring algorithms have been used to establish the expected mortality in these patients. Our objective was to define the predictive factors for mortality in our center and to validate the EuroSCORE and Penn classification system. Methods: Patients who underwent surgery for AAD from 2006 to 2016 were retrieved from the institution’s database. Preoperative, operative and postoperative variables were collected. Observed and expected mortality was calculated by EuroSCORE. Logistic regression analysis and Cox regression analysis were performed to find predictors of operative mortality and survival, respectively. The receiver operating characteristic (ROC) curves were plotted for logistic EuroSCORE, and the area under the ROC curve (AUC) was calculated. Results: 87 patients (27.6% female) underwent surgery for AAD. The mean age was 58.6±9.7 years. Expected and observed operative mortality was 25.8±15.1% and 20.7%, respectively. Penn Aa, Ab and Abc shared similar observed/expected (O/E) mortality ratio. The only independent predictor of operative mortality (OR: 3.63; 95% CI: 1.19-11.09) and survival (HR: 2.6; 95% CI: 1.5-4.8) was female gender. EuroSCORE showed a very poor prediction capacity, with an AUC=0.566. Conclusion: Female gender was the only independent predictor of operative mortality and survival in our institution. EuroSCORE is a poor scoring algorithm to predict mortality in AAD, but with consistent results for Penn Aa, Ab and Abc.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-76382020000600878
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-76382020000600878
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.21470/1678-9741-2020-0053
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Cirurgia Cardiovascular
publisher.none.fl_str_mv Sociedade Brasileira de Cirurgia Cardiovascular
dc.source.none.fl_str_mv Brazilian Journal of Cardiovascular Surgery v.35 n.6 2020
reponame:Brazilian Journal of Cardiovascular Surgery (Online)
instname:Sociedade Brasileira de Cirurgia Cardiovascular (SBCCV)
instacron:SBCCV
instname_str Sociedade Brasileira de Cirurgia Cardiovascular (SBCCV)
instacron_str SBCCV
institution SBCCV
reponame_str Brazilian Journal of Cardiovascular Surgery (Online)
collection Brazilian Journal of Cardiovascular Surgery (Online)
repository.name.fl_str_mv Brazilian Journal of Cardiovascular Surgery (Online) - Sociedade Brasileira de Cirurgia Cardiovascular (SBCCV)
repository.mail.fl_str_mv ||rosangela.monteiro@incor.usp.br|| domingo@braile.com.br|| brandau@braile.com.br
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