Predictors of complications associated with extracorporeal membrane oxygenation
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Enfermagem (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020000200305 |
Resumo: | ABSTRACT Objectives: to identify in the literature, the predictors of ECMO complications in adult patients. Methods: integrative review of literature, including articles in Portuguese, English and Spanish published from 2014 to 2018 in five databases. Included articles which analyzed the predictive factors of ECMO complications in adult patients using multivariate analysis. Results: a total of 1629 articles were identified, of which 19 were included. Nineteen predictors were identified for neurological complications (e.g., post-ECMO hypoglycemia), seven for bleeding complications (e.g., fungal pneumonia), four for infections complications (e.g., preoperative creatinine level), three for kidney complications (e.g., the length of ICU stay> 20 days) and a combination of factors for mechanical complications (e.g., median flow). Conclusions: different predictors were identified to ECMO complications. The knowledge of these predictors enables the individualized targeting of preventive interventions by multidisciplinary team for modifiable factors, as well as intensification of monitoring for early recognition of non-modifiable factors. |
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Predictors of complications associated with extracorporeal membrane oxygenationAdultsCritical CareRisk FactorsExtracorporeal Membrane OxygenationForecastingABSTRACT Objectives: to identify in the literature, the predictors of ECMO complications in adult patients. Methods: integrative review of literature, including articles in Portuguese, English and Spanish published from 2014 to 2018 in five databases. Included articles which analyzed the predictive factors of ECMO complications in adult patients using multivariate analysis. Results: a total of 1629 articles were identified, of which 19 were included. Nineteen predictors were identified for neurological complications (e.g., post-ECMO hypoglycemia), seven for bleeding complications (e.g., fungal pneumonia), four for infections complications (e.g., preoperative creatinine level), three for kidney complications (e.g., the length of ICU stay> 20 days) and a combination of factors for mechanical complications (e.g., median flow). Conclusions: different predictors were identified to ECMO complications. The knowledge of these predictors enables the individualized targeting of preventive interventions by multidisciplinary team for modifiable factors, as well as intensification of monitoring for early recognition of non-modifiable factors.Associação Brasileira de Enfermagem2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020000200305Revista Brasileira de Enfermagem v.73 n.2 2020reponame:Revista Brasileira de Enfermagem (Online)instname:Associação Brasileira de Enfermagem (ABEN)instacron:ABEN10.1590/0034-7167-2018-0666info:eu-repo/semantics/openAccessNakasato,Gislaine RodriguesLopes,Juliana de LimaLopes,Camila Takaoeng2020-05-29T00:00:00Zoai:scielo:S0034-71672020000200305Revistahttp://www.scielo.br/rebenhttps://old.scielo.br/oai/scielo-oai.phpreben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br1984-04460034-7167opendoar:2020-05-29T00:00Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)false |
dc.title.none.fl_str_mv |
Predictors of complications associated with extracorporeal membrane oxygenation |
title |
Predictors of complications associated with extracorporeal membrane oxygenation |
spellingShingle |
Predictors of complications associated with extracorporeal membrane oxygenation Nakasato,Gislaine Rodrigues Adults Critical Care Risk Factors Extracorporeal Membrane Oxygenation Forecasting |
title_short |
Predictors of complications associated with extracorporeal membrane oxygenation |
title_full |
Predictors of complications associated with extracorporeal membrane oxygenation |
title_fullStr |
Predictors of complications associated with extracorporeal membrane oxygenation |
title_full_unstemmed |
Predictors of complications associated with extracorporeal membrane oxygenation |
title_sort |
Predictors of complications associated with extracorporeal membrane oxygenation |
author |
Nakasato,Gislaine Rodrigues |
author_facet |
Nakasato,Gislaine Rodrigues Lopes,Juliana de Lima Lopes,Camila Takao |
author_role |
author |
author2 |
Lopes,Juliana de Lima Lopes,Camila Takao |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Nakasato,Gislaine Rodrigues Lopes,Juliana de Lima Lopes,Camila Takao |
dc.subject.por.fl_str_mv |
Adults Critical Care Risk Factors Extracorporeal Membrane Oxygenation Forecasting |
topic |
Adults Critical Care Risk Factors Extracorporeal Membrane Oxygenation Forecasting |
description |
ABSTRACT Objectives: to identify in the literature, the predictors of ECMO complications in adult patients. Methods: integrative review of literature, including articles in Portuguese, English and Spanish published from 2014 to 2018 in five databases. Included articles which analyzed the predictive factors of ECMO complications in adult patients using multivariate analysis. Results: a total of 1629 articles were identified, of which 19 were included. Nineteen predictors were identified for neurological complications (e.g., post-ECMO hypoglycemia), seven for bleeding complications (e.g., fungal pneumonia), four for infections complications (e.g., preoperative creatinine level), three for kidney complications (e.g., the length of ICU stay> 20 days) and a combination of factors for mechanical complications (e.g., median flow). Conclusions: different predictors were identified to ECMO complications. The knowledge of these predictors enables the individualized targeting of preventive interventions by multidisciplinary team for modifiable factors, as well as intensification of monitoring for early recognition of non-modifiable factors. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
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=S0034-71672020000200305 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020000200305 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0034-7167-2018-0666 |
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 |
Associação Brasileira de Enfermagem |
publisher.none.fl_str_mv |
Associação Brasileira de Enfermagem |
dc.source.none.fl_str_mv |
Revista Brasileira de Enfermagem v.73 n.2 2020 reponame:Revista Brasileira de Enfermagem (Online) instname:Associação Brasileira de Enfermagem (ABEN) instacron:ABEN |
instname_str |
Associação Brasileira de Enfermagem (ABEN) |
instacron_str |
ABEN |
institution |
ABEN |
reponame_str |
Revista Brasileira de Enfermagem (Online) |
collection |
Revista Brasileira de Enfermagem (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN) |
repository.mail.fl_str_mv |
reben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br |
_version_ |
1754303037431611392 |