Preoperative predictive factors for intensive care unit admission after pulmonary resection
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Jornal Brasileiro de Pneumologia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-37132015000100031 |
Resumo: | Objective: To determine whether the use of a set of preoperative variables can predict the need for postoperative ICU admission. Methods: This was a prospective observational cohort study of 120 patients undergoing elective pulmonary resection between July of 2009 and April of 2012. Prediction of ICU admission was based on the presence of one or more of the following preoperative characteristics: predicted pneumonectomy; severe/very severe COPD; severe restrictive lung disease; FEV1 or DLCO predicted to be < 40% postoperatively; SpO2 on room air at rest < 90%; need for cardiac monitoring as a precautionary measure; or American Society of Anesthesiologists physical status ≥ 3. The gold standard for mandatory admission to the ICU was based on the presence of one or more of the following postoperative characteristics: maintenance of mechanical ventilation or reintubation; acute respiratory failure or need for noninvasive ventilation; hemodynamic instability or shock; intraoperative or immediate postoperative complications (clinical or surgical); or a recommendation by the anesthesiologist or surgeon to continue treatment in the ICU. Results: Among the 120 patients evaluated, 24 (20.0%) were predicted to require ICU admission, and ICU admission was considered mandatory in 16 (66.6%) of those 24. In contrast, among the 96 patients for whom ICU admission was not predicted, it was required in 14 (14.5%). The use of the criteria for predicting ICU admission showed good accuracy (81.6%), sensitivity of 53.3%, specificity of 91%, positive predictive value of 66.6%, and negative predictive value of 85.4%. Conclusions: The use of preoperative criteria for predicting the need for ICU admission after elective pulmonary resection is feasible and can reduce the number of patients staying in the ICU only for monitoring. |
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Preoperative predictive factors for intensive care unit admission after pulmonary resectionThoracic surgeryRisk factorsIntensive care units Objective: To determine whether the use of a set of preoperative variables can predict the need for postoperative ICU admission. Methods: This was a prospective observational cohort study of 120 patients undergoing elective pulmonary resection between July of 2009 and April of 2012. Prediction of ICU admission was based on the presence of one or more of the following preoperative characteristics: predicted pneumonectomy; severe/very severe COPD; severe restrictive lung disease; FEV1 or DLCO predicted to be < 40% postoperatively; SpO2 on room air at rest < 90%; need for cardiac monitoring as a precautionary measure; or American Society of Anesthesiologists physical status ≥ 3. The gold standard for mandatory admission to the ICU was based on the presence of one or more of the following postoperative characteristics: maintenance of mechanical ventilation or reintubation; acute respiratory failure or need for noninvasive ventilation; hemodynamic instability or shock; intraoperative or immediate postoperative complications (clinical or surgical); or a recommendation by the anesthesiologist or surgeon to continue treatment in the ICU. Results: Among the 120 patients evaluated, 24 (20.0%) were predicted to require ICU admission, and ICU admission was considered mandatory in 16 (66.6%) of those 24. In contrast, among the 96 patients for whom ICU admission was not predicted, it was required in 14 (14.5%). The use of the criteria for predicting ICU admission showed good accuracy (81.6%), sensitivity of 53.3%, specificity of 91%, positive predictive value of 66.6%, and negative predictive value of 85.4%. Conclusions: The use of preoperative criteria for predicting the need for ICU admission after elective pulmonary resection is feasible and can reduce the number of patients staying in the ICU only for monitoring.Sociedade Brasileira de Pneumologia e Tisiologia2015-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-37132015000100031Jornal Brasileiro de Pneumologia v.41 n.1 2015reponame:Jornal Brasileiro de Pneumologia (Online)instname:Sociedade Brasileira de Pneumologia e Tisiologia (SBPT)instacron:SBPT10.1590/s1806-37132015000100005info:eu-repo/semantics/openAccessPinheiro,LianaSantoro,Ilka LopesPerfeito,João Aléssio JulianoIzbicki,MeyerRamos,Roberta PulcheriFaresin,Sonia Mariaeng2020-05-08T00:00:00Zoai:scielo:S1806-37132015000100031Revistahttp://www.jornaldepneumologia.com.br/default.aspONGhttps://old.scielo.br/oai/scielo-oai.php||jbp@jbp.org.br|| jpneumo@jornaldepneumologia.com.br1806-37561806-3713opendoar:2020-05-08T00:00Jornal Brasileiro de Pneumologia (Online) - Sociedade Brasileira de Pneumologia e Tisiologia (SBPT)false |
dc.title.none.fl_str_mv |
Preoperative predictive factors for intensive care unit admission after pulmonary resection |
title |
Preoperative predictive factors for intensive care unit admission after pulmonary resection |
spellingShingle |
Preoperative predictive factors for intensive care unit admission after pulmonary resection Pinheiro,Liana Thoracic surgery Risk factors Intensive care units |
title_short |
Preoperative predictive factors for intensive care unit admission after pulmonary resection |
title_full |
Preoperative predictive factors for intensive care unit admission after pulmonary resection |
title_fullStr |
Preoperative predictive factors for intensive care unit admission after pulmonary resection |
title_full_unstemmed |
Preoperative predictive factors for intensive care unit admission after pulmonary resection |
title_sort |
Preoperative predictive factors for intensive care unit admission after pulmonary resection |
author |
Pinheiro,Liana |
author_facet |
Pinheiro,Liana Santoro,Ilka Lopes Perfeito,João Aléssio Juliano Izbicki,Meyer Ramos,Roberta Pulcheri Faresin,Sonia Maria |
author_role |
author |
author2 |
Santoro,Ilka Lopes Perfeito,João Aléssio Juliano Izbicki,Meyer Ramos,Roberta Pulcheri Faresin,Sonia Maria |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Pinheiro,Liana Santoro,Ilka Lopes Perfeito,João Aléssio Juliano Izbicki,Meyer Ramos,Roberta Pulcheri Faresin,Sonia Maria |
dc.subject.por.fl_str_mv |
Thoracic surgery Risk factors Intensive care units |
topic |
Thoracic surgery Risk factors Intensive care units |
description |
Objective: To determine whether the use of a set of preoperative variables can predict the need for postoperative ICU admission. Methods: This was a prospective observational cohort study of 120 patients undergoing elective pulmonary resection between July of 2009 and April of 2012. Prediction of ICU admission was based on the presence of one or more of the following preoperative characteristics: predicted pneumonectomy; severe/very severe COPD; severe restrictive lung disease; FEV1 or DLCO predicted to be < 40% postoperatively; SpO2 on room air at rest < 90%; need for cardiac monitoring as a precautionary measure; or American Society of Anesthesiologists physical status ≥ 3. The gold standard for mandatory admission to the ICU was based on the presence of one or more of the following postoperative characteristics: maintenance of mechanical ventilation or reintubation; acute respiratory failure or need for noninvasive ventilation; hemodynamic instability or shock; intraoperative or immediate postoperative complications (clinical or surgical); or a recommendation by the anesthesiologist or surgeon to continue treatment in the ICU. Results: Among the 120 patients evaluated, 24 (20.0%) were predicted to require ICU admission, and ICU admission was considered mandatory in 16 (66.6%) of those 24. In contrast, among the 96 patients for whom ICU admission was not predicted, it was required in 14 (14.5%). The use of the criteria for predicting ICU admission showed good accuracy (81.6%), sensitivity of 53.3%, specificity of 91%, positive predictive value of 66.6%, and negative predictive value of 85.4%. Conclusions: The use of preoperative criteria for predicting the need for ICU admission after elective pulmonary resection is feasible and can reduce the number of patients staying in the ICU only for monitoring. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-02-01 |
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=S1806-37132015000100031 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-37132015000100031 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/s1806-37132015000100005 |
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 Pneumologia e Tisiologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Pneumologia e Tisiologia |
dc.source.none.fl_str_mv |
Jornal Brasileiro de Pneumologia v.41 n.1 2015 reponame:Jornal Brasileiro de Pneumologia (Online) instname:Sociedade Brasileira de Pneumologia e Tisiologia (SBPT) instacron:SBPT |
instname_str |
Sociedade Brasileira de Pneumologia e Tisiologia (SBPT) |
instacron_str |
SBPT |
institution |
SBPT |
reponame_str |
Jornal Brasileiro de Pneumologia (Online) |
collection |
Jornal Brasileiro de Pneumologia (Online) |
repository.name.fl_str_mv |
Jornal Brasileiro de Pneumologia (Online) - Sociedade Brasileira de Pneumologia e Tisiologia (SBPT) |
repository.mail.fl_str_mv |
||jbp@jbp.org.br|| jpneumo@jornaldepneumologia.com.br |
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1750318345993846784 |