Predictors of Length of Stay in Intensive Care Unit After Coronary Artery Bypass Grafting: Development a Risk Scoring System
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
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=S0102-76382021000100057 |
Resumo: | Abstract Introduction: To determine predictors of length of stay (LOS) in the intensive care unit (ICU) after coronary artery bypass grafting (CABG) and to develop a risk scoring system were the objectives of this study. Methods: In this retrospective study, 1202 patients' medical records after CABG were evaluated by a research-made checklist. Tarone-Ware test was used to determine the predictors of patients' LOS in the ICU. Cox regression model was used to determine the risk factors and risk ratios associated with ICU LOS. Results: The mean ICU LOS after CABG was 55.27±17.33 hours. Cox regression model showed that having more than two chest tubes (95% confidence interval [CI] 1.005-1.287, Relative Risk [RR]=1.138), occurrence of atelectasis (95% CI 1.000-3.007, RR=1.734), and occurrence of atrial fibrillation after CABG (95% CI 1.428-2.424, RR=1.861) were risk factors associated with longer ICU LOS. The discrimination power of this set of predictors was demonstrated with an area under the receiver operating characteristic curve and it was 0.69. A simple risk scoring system was developed based on three identified predictors that can raise ICU LOS. Conclusion: The simple risk scoring system developed based on three identified predictors can help to plan more accurately a patient's LOS in hospital for CABG and can be useful in managing human and financial resources. |
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Brazilian Journal of Cardiovascular Surgery (Online) |
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Predictors of Length of Stay in Intensive Care Unit After Coronary Artery Bypass Grafting: Development a Risk Scoring SystemAtrial FibrillationChest TubesChecklistLength of StayCoronary Artery BypassIntensive Care UnitsPulmonary AtelectasisRecordsAbstract Introduction: To determine predictors of length of stay (LOS) in the intensive care unit (ICU) after coronary artery bypass grafting (CABG) and to develop a risk scoring system were the objectives of this study. Methods: In this retrospective study, 1202 patients' medical records after CABG were evaluated by a research-made checklist. Tarone-Ware test was used to determine the predictors of patients' LOS in the ICU. Cox regression model was used to determine the risk factors and risk ratios associated with ICU LOS. Results: The mean ICU LOS after CABG was 55.27±17.33 hours. Cox regression model showed that having more than two chest tubes (95% confidence interval [CI] 1.005-1.287, Relative Risk [RR]=1.138), occurrence of atelectasis (95% CI 1.000-3.007, RR=1.734), and occurrence of atrial fibrillation after CABG (95% CI 1.428-2.424, RR=1.861) were risk factors associated with longer ICU LOS. The discrimination power of this set of predictors was demonstrated with an area under the receiver operating characteristic curve and it was 0.69. A simple risk scoring system was developed based on three identified predictors that can raise ICU LOS. Conclusion: The simple risk scoring system developed based on three identified predictors can help to plan more accurately a patient's LOS in hospital for CABG and can be useful in managing human and financial resources.Sociedade Brasileira de Cirurgia Cardiovascular2021-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-76382021000100057Brazilian Journal of Cardiovascular Surgery v.36 n.1 2021reponame:Brazilian Journal of Cardiovascular Surgery (Online)instname:Sociedade Brasileira de Cirurgia Cardiovascular (SBCCV)instacron:SBCCV10.21470/1678-9741-2019-0405info:eu-repo/semantics/openAccessZarrizi,MaryamParyad,EzzatKhanghah,Atefeh GhanbariLeili,Ehsan KazemnezhadFaghani,Hamedeng2021-02-26T00:00:00Zoai:scielo:S0102-76382021000100057Revistahttp://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 |
Predictors of Length of Stay in Intensive Care Unit After Coronary Artery Bypass Grafting: Development a Risk Scoring System |
title |
Predictors of Length of Stay in Intensive Care Unit After Coronary Artery Bypass Grafting: Development a Risk Scoring System |
spellingShingle |
Predictors of Length of Stay in Intensive Care Unit After Coronary Artery Bypass Grafting: Development a Risk Scoring System Zarrizi,Maryam Atrial Fibrillation Chest Tubes Checklist Length of Stay Coronary Artery Bypass Intensive Care Units Pulmonary Atelectasis Records |
title_short |
Predictors of Length of Stay in Intensive Care Unit After Coronary Artery Bypass Grafting: Development a Risk Scoring System |
title_full |
Predictors of Length of Stay in Intensive Care Unit After Coronary Artery Bypass Grafting: Development a Risk Scoring System |
title_fullStr |
Predictors of Length of Stay in Intensive Care Unit After Coronary Artery Bypass Grafting: Development a Risk Scoring System |
title_full_unstemmed |
Predictors of Length of Stay in Intensive Care Unit After Coronary Artery Bypass Grafting: Development a Risk Scoring System |
title_sort |
Predictors of Length of Stay in Intensive Care Unit After Coronary Artery Bypass Grafting: Development a Risk Scoring System |
author |
Zarrizi,Maryam |
author_facet |
Zarrizi,Maryam Paryad,Ezzat Khanghah,Atefeh Ghanbari Leili,Ehsan Kazemnezhad Faghani,Hamed |
author_role |
author |
author2 |
Paryad,Ezzat Khanghah,Atefeh Ghanbari Leili,Ehsan Kazemnezhad Faghani,Hamed |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Zarrizi,Maryam Paryad,Ezzat Khanghah,Atefeh Ghanbari Leili,Ehsan Kazemnezhad Faghani,Hamed |
dc.subject.por.fl_str_mv |
Atrial Fibrillation Chest Tubes Checklist Length of Stay Coronary Artery Bypass Intensive Care Units Pulmonary Atelectasis Records |
topic |
Atrial Fibrillation Chest Tubes Checklist Length of Stay Coronary Artery Bypass Intensive Care Units Pulmonary Atelectasis Records |
description |
Abstract Introduction: To determine predictors of length of stay (LOS) in the intensive care unit (ICU) after coronary artery bypass grafting (CABG) and to develop a risk scoring system were the objectives of this study. Methods: In this retrospective study, 1202 patients' medical records after CABG were evaluated by a research-made checklist. Tarone-Ware test was used to determine the predictors of patients' LOS in the ICU. Cox regression model was used to determine the risk factors and risk ratios associated with ICU LOS. Results: The mean ICU LOS after CABG was 55.27±17.33 hours. Cox regression model showed that having more than two chest tubes (95% confidence interval [CI] 1.005-1.287, Relative Risk [RR]=1.138), occurrence of atelectasis (95% CI 1.000-3.007, RR=1.734), and occurrence of atrial fibrillation after CABG (95% CI 1.428-2.424, RR=1.861) were risk factors associated with longer ICU LOS. The discrimination power of this set of predictors was demonstrated with an area under the receiver operating characteristic curve and it was 0.69. A simple risk scoring system was developed based on three identified predictors that can raise ICU LOS. Conclusion: The simple risk scoring system developed based on three identified predictors can help to plan more accurately a patient's LOS in hospital for CABG and can be useful in managing human and financial resources. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-02-01 |
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=S0102-76382021000100057 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-76382021000100057 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.21470/1678-9741-2019-0405 |
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.36 n.1 2021 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 |
_version_ |
1752126602137829376 |