Risk Score for Prolonged Mechanical Ventilation in Coronary Artery Bypass Grafting

Detalhes bibliográficos
Autor(a) principal: Dallazen-Sartori,Fernanda
Data de Publicação: 2021
Outros Autores: Albuquerque,Luciano Cabral, Guaragna,João Carlos Vieira da Costa, Magedanz,Ellen Hettwer, Petracco,João Batista, Bodanese,Rodrigo, Wagner,Mario Bernardes, Bodanese,Luiz Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: International Journal of Cardiovascular Sciences (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472021000300264
Resumo: Abstract Background Prolonged mechanical ventilation (MV) after cardiac surgery imposes a significant burden on the patient in terms of morbidity and financial hospital costs. Objective To develop a risk score model to predict prolonged MV in patients undergoing coronary artery bypass grafting (CABG) surgery. Methods This was a historical cohort study of 4165 adult patients undergoing CABG between January 1996 and December 2016. MV for periods ≥ 12 hours was considered prolonged. Logistic regression was used to examine the relationship between risk predictors and prolonged MV. The variables were scored according to the odds ratio. To build the risk score, the database was randomly divided into 2 parts: development data set (2/3) with 2746 patients and internal validation data set (1/3) with 1419 patients. The final score was validated in the total database and the model's accuracy was tested by performance statistics. Significance was established at p < 0.05. Results Prolonged MV was observed in 783 (18.8%) patients. Predictors of risk were age ≥ 65 years, urgent/emergency surgery, body mass index ≥ 30 kg/m2, chronic kidney disease, chronic obstructive pulmonary disease, and cardiopulmonary bypass time ≥ 120 minutes. The area under the ROC curve was 0.66 (95% CI, 0.64-0.68; p<0.001), the Hosmer-Lemeshow chi-square test was χ2: 3.38 (p=0.642), and Pearson's correlation was r = 0.99 (p<0.001), indicating the model’s satisfactory ability to predict the occurrence of prolonged MV. Conclusion Selected variables allowed the construction of a simplified risk score for daily practice, which may classify the patients as having low, moderate, high, and very high risk. (Int J Cardiovasc Sci. 2020; [online].ahead print, PP.0-0
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spelling Risk Score for Prolonged Mechanical Ventilation in Coronary Artery Bypass GraftingRespiration, ArtificialMyocardial RevascularizationRisk FactorsThoracic SurgeryCoronary Artery DiseaseProbabilityAbstract Background Prolonged mechanical ventilation (MV) after cardiac surgery imposes a significant burden on the patient in terms of morbidity and financial hospital costs. Objective To develop a risk score model to predict prolonged MV in patients undergoing coronary artery bypass grafting (CABG) surgery. Methods This was a historical cohort study of 4165 adult patients undergoing CABG between January 1996 and December 2016. MV for periods ≥ 12 hours was considered prolonged. Logistic regression was used to examine the relationship between risk predictors and prolonged MV. The variables were scored according to the odds ratio. To build the risk score, the database was randomly divided into 2 parts: development data set (2/3) with 2746 patients and internal validation data set (1/3) with 1419 patients. The final score was validated in the total database and the model's accuracy was tested by performance statistics. Significance was established at p < 0.05. Results Prolonged MV was observed in 783 (18.8%) patients. Predictors of risk were age ≥ 65 years, urgent/emergency surgery, body mass index ≥ 30 kg/m2, chronic kidney disease, chronic obstructive pulmonary disease, and cardiopulmonary bypass time ≥ 120 minutes. The area under the ROC curve was 0.66 (95% CI, 0.64-0.68; p<0.001), the Hosmer-Lemeshow chi-square test was χ2: 3.38 (p=0.642), and Pearson's correlation was r = 0.99 (p<0.001), indicating the model’s satisfactory ability to predict the occurrence of prolonged MV. Conclusion Selected variables allowed the construction of a simplified risk score for daily practice, which may classify the patients as having low, moderate, high, and very high risk. (Int J Cardiovasc Sci. 2020; [online].ahead print, PP.0-0Sociedade Brasileira de Cardiologia2021-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472021000300264International Journal of Cardiovascular Sciences v.34 n.3 2021reponame:International Journal of Cardiovascular Sciences (Online)instname:Sociedade Brasileira de Cardiologia (SBC)instacron:SBC10.36660/ijcs.20200068info:eu-repo/semantics/openAccessDallazen-Sartori,FernandaAlbuquerque,Luciano CabralGuaragna,João Carlos Vieira da CostaMagedanz,Ellen HettwerPetracco,João BatistaBodanese,RodrigoWagner,Mario BernardesBodanese,Luiz Carloseng2022-02-02T00:00:00Zoai:scielo:S2359-56472021000300264Revistahttp://publicacoes.cardiol.br/portal/ijcshttps://old.scielo.br/oai/scielo-oai.phptailanerodrigues@cardiol.br||revistaijcs@cardiol.br2359-56472359-4802opendoar:2022-02-02T00:00International Journal of Cardiovascular Sciences (Online) - Sociedade Brasileira de Cardiologia (SBC)false
dc.title.none.fl_str_mv Risk Score for Prolonged Mechanical Ventilation in Coronary Artery Bypass Grafting
title Risk Score for Prolonged Mechanical Ventilation in Coronary Artery Bypass Grafting
spellingShingle Risk Score for Prolonged Mechanical Ventilation in Coronary Artery Bypass Grafting
Dallazen-Sartori,Fernanda
Respiration, Artificial
Myocardial Revascularization
Risk Factors
Thoracic Surgery
Coronary Artery Disease
Probability
title_short Risk Score for Prolonged Mechanical Ventilation in Coronary Artery Bypass Grafting
title_full Risk Score for Prolonged Mechanical Ventilation in Coronary Artery Bypass Grafting
title_fullStr Risk Score for Prolonged Mechanical Ventilation in Coronary Artery Bypass Grafting
title_full_unstemmed Risk Score for Prolonged Mechanical Ventilation in Coronary Artery Bypass Grafting
title_sort Risk Score for Prolonged Mechanical Ventilation in Coronary Artery Bypass Grafting
author Dallazen-Sartori,Fernanda
author_facet Dallazen-Sartori,Fernanda
Albuquerque,Luciano Cabral
Guaragna,João Carlos Vieira da Costa
Magedanz,Ellen Hettwer
Petracco,João Batista
Bodanese,Rodrigo
Wagner,Mario Bernardes
Bodanese,Luiz Carlos
author_role author
author2 Albuquerque,Luciano Cabral
Guaragna,João Carlos Vieira da Costa
Magedanz,Ellen Hettwer
Petracco,João Batista
Bodanese,Rodrigo
Wagner,Mario Bernardes
Bodanese,Luiz Carlos
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Dallazen-Sartori,Fernanda
Albuquerque,Luciano Cabral
Guaragna,João Carlos Vieira da Costa
Magedanz,Ellen Hettwer
Petracco,João Batista
Bodanese,Rodrigo
Wagner,Mario Bernardes
Bodanese,Luiz Carlos
dc.subject.por.fl_str_mv Respiration, Artificial
Myocardial Revascularization
Risk Factors
Thoracic Surgery
Coronary Artery Disease
Probability
topic Respiration, Artificial
Myocardial Revascularization
Risk Factors
Thoracic Surgery
Coronary Artery Disease
Probability
description Abstract Background Prolonged mechanical ventilation (MV) after cardiac surgery imposes a significant burden on the patient in terms of morbidity and financial hospital costs. Objective To develop a risk score model to predict prolonged MV in patients undergoing coronary artery bypass grafting (CABG) surgery. Methods This was a historical cohort study of 4165 adult patients undergoing CABG between January 1996 and December 2016. MV for periods ≥ 12 hours was considered prolonged. Logistic regression was used to examine the relationship between risk predictors and prolonged MV. The variables were scored according to the odds ratio. To build the risk score, the database was randomly divided into 2 parts: development data set (2/3) with 2746 patients and internal validation data set (1/3) with 1419 patients. The final score was validated in the total database and the model's accuracy was tested by performance statistics. Significance was established at p < 0.05. Results Prolonged MV was observed in 783 (18.8%) patients. Predictors of risk were age ≥ 65 years, urgent/emergency surgery, body mass index ≥ 30 kg/m2, chronic kidney disease, chronic obstructive pulmonary disease, and cardiopulmonary bypass time ≥ 120 minutes. The area under the ROC curve was 0.66 (95% CI, 0.64-0.68; p<0.001), the Hosmer-Lemeshow chi-square test was χ2: 3.38 (p=0.642), and Pearson's correlation was r = 0.99 (p<0.001), indicating the model’s satisfactory ability to predict the occurrence of prolonged MV. Conclusion Selected variables allowed the construction of a simplified risk score for daily practice, which may classify the patients as having low, moderate, high, and very high risk. (Int J Cardiovasc Sci. 2020; [online].ahead print, PP.0-0
publishDate 2021
dc.date.none.fl_str_mv 2021-06-01
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=S2359-56472021000300264
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472021000300264
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.36660/ijcs.20200068
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 Cardiologia
publisher.none.fl_str_mv Sociedade Brasileira de Cardiologia
dc.source.none.fl_str_mv International Journal of Cardiovascular Sciences v.34 n.3 2021
reponame:International Journal of Cardiovascular Sciences (Online)
instname:Sociedade Brasileira de Cardiologia (SBC)
instacron:SBC
instname_str Sociedade Brasileira de Cardiologia (SBC)
instacron_str SBC
institution SBC
reponame_str International Journal of Cardiovascular Sciences (Online)
collection International Journal of Cardiovascular Sciences (Online)
repository.name.fl_str_mv International Journal of Cardiovascular Sciences (Online) - Sociedade Brasileira de Cardiologia (SBC)
repository.mail.fl_str_mv tailanerodrigues@cardiol.br||revistaijcs@cardiol.br
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