Cargando…

The use of distributed random forest model to quantify risk predictors for tracheostomy requirements in septic patients: A retrospective cohort study

The search for early clinical risk factors in the intensive care setting may improve the outcome of critically ill patients. The objective of this retrospective study is to identify and quantify early predictors for patients who would require tracheostomy. Five hundred and forty four septic patients...

Descripción completa

Detalles Bibliográficos
Autores principales: Rodrigues, Lorena Aparecida de Brito, Lago, Alessandra Fabiane, Menegueti, Mayra Gonçalves, Farias, Viviane Aparecida, Auxiliadora-Martins, Maria, Ferez, Marcus Antonio, Martinez, Edson Zangiacomi, Basile-Filho, Anibal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360240/
https://www.ncbi.nlm.nih.gov/pubmed/32664069
http://dx.doi.org/10.1097/MD.0000000000020757
_version_ 1783559182522253312
author Rodrigues, Lorena Aparecida de Brito
Lago, Alessandra Fabiane
Menegueti, Mayra Gonçalves
Farias, Viviane Aparecida
Auxiliadora-Martins, Maria
Ferez, Marcus Antonio
Martinez, Edson Zangiacomi
Basile-Filho, Anibal
author_facet Rodrigues, Lorena Aparecida de Brito
Lago, Alessandra Fabiane
Menegueti, Mayra Gonçalves
Farias, Viviane Aparecida
Auxiliadora-Martins, Maria
Ferez, Marcus Antonio
Martinez, Edson Zangiacomi
Basile-Filho, Anibal
author_sort Rodrigues, Lorena Aparecida de Brito
collection PubMed
description The search for early clinical risk factors in the intensive care setting may improve the outcome of critically ill patients. The objective of this retrospective study is to identify and quantify early predictors for patients who would require tracheostomy. Five hundred and forty four septic patients were divided in 2 groups: non-tracheostomized (NT) (n = 484) and tracheostomized (T) (n = 60). The patients consisted of 241 males (49.8%) in NT and 27 (45%) in T group, respectively (P = .4971). The median and interquartile range difference of age of NT group was of 72 years [59–82] and T of 75 [55.0–83.5] (P = .4687). The SAPS 3 for the group NTxT was 70 [55–85] and 85.5 [77–91] (P = .0001), the SOFA of 9 [6–13] and 12 [10–14] (P = .0002). The comparison of logistic regression analysis for predictors of non-tracheostomy and tracheostomy groups showed an adjusted odds ratio (OR) for SAPS 3 range between 74 and 87 of 18.14 (95%CI = 3.36–97.84) and between 88 and 116 of 27.77 (95%CI = 4.43–174.24) (P < .05). For SOFA, the adjusted OR between 10 and 13 was 12.23 (95%CI = 2.46–60.81) and between 14 and 20 was 8.45 (95%CI = 1.58–45.29) (P < .05). The need for blood transfusions and dialysis presented an OR of 2.74 (95%CI = 1.23–6.08) and 3.33 (95%CI = 1.43–7.73) (P < .05), respectively. Our data shows that SAPS 3 ≥ 74, SOFA ≥ 11, blood transfusions and the need for dialysis were independently associated and could be considered major predictors for tracheostomy requirements in septic patients.
format Online
Article
Text
id pubmed-7360240
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Wolters Kluwer Health
record_format MEDLINE/PubMed
spelling pubmed-73602402020-08-05 The use of distributed random forest model to quantify risk predictors for tracheostomy requirements in septic patients: A retrospective cohort study Rodrigues, Lorena Aparecida de Brito Lago, Alessandra Fabiane Menegueti, Mayra Gonçalves Farias, Viviane Aparecida Auxiliadora-Martins, Maria Ferez, Marcus Antonio Martinez, Edson Zangiacomi Basile-Filho, Anibal Medicine (Baltimore) 3900 The search for early clinical risk factors in the intensive care setting may improve the outcome of critically ill patients. The objective of this retrospective study is to identify and quantify early predictors for patients who would require tracheostomy. Five hundred and forty four septic patients were divided in 2 groups: non-tracheostomized (NT) (n = 484) and tracheostomized (T) (n = 60). The patients consisted of 241 males (49.8%) in NT and 27 (45%) in T group, respectively (P = .4971). The median and interquartile range difference of age of NT group was of 72 years [59–82] and T of 75 [55.0–83.5] (P = .4687). The SAPS 3 for the group NTxT was 70 [55–85] and 85.5 [77–91] (P = .0001), the SOFA of 9 [6–13] and 12 [10–14] (P = .0002). The comparison of logistic regression analysis for predictors of non-tracheostomy and tracheostomy groups showed an adjusted odds ratio (OR) for SAPS 3 range between 74 and 87 of 18.14 (95%CI = 3.36–97.84) and between 88 and 116 of 27.77 (95%CI = 4.43–174.24) (P < .05). For SOFA, the adjusted OR between 10 and 13 was 12.23 (95%CI = 2.46–60.81) and between 14 and 20 was 8.45 (95%CI = 1.58–45.29) (P < .05). The need for blood transfusions and dialysis presented an OR of 2.74 (95%CI = 1.23–6.08) and 3.33 (95%CI = 1.43–7.73) (P < .05), respectively. Our data shows that SAPS 3 ≥ 74, SOFA ≥ 11, blood transfusions and the need for dialysis were independently associated and could be considered major predictors for tracheostomy requirements in septic patients. Wolters Kluwer Health 2020-07-10 /pmc/articles/PMC7360240/ /pubmed/32664069 http://dx.doi.org/10.1097/MD.0000000000020757 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 3900
Rodrigues, Lorena Aparecida de Brito
Lago, Alessandra Fabiane
Menegueti, Mayra Gonçalves
Farias, Viviane Aparecida
Auxiliadora-Martins, Maria
Ferez, Marcus Antonio
Martinez, Edson Zangiacomi
Basile-Filho, Anibal
The use of distributed random forest model to quantify risk predictors for tracheostomy requirements in septic patients: A retrospective cohort study
title The use of distributed random forest model to quantify risk predictors for tracheostomy requirements in septic patients: A retrospective cohort study
title_full The use of distributed random forest model to quantify risk predictors for tracheostomy requirements in septic patients: A retrospective cohort study
title_fullStr The use of distributed random forest model to quantify risk predictors for tracheostomy requirements in septic patients: A retrospective cohort study
title_full_unstemmed The use of distributed random forest model to quantify risk predictors for tracheostomy requirements in septic patients: A retrospective cohort study
title_short The use of distributed random forest model to quantify risk predictors for tracheostomy requirements in septic patients: A retrospective cohort study
title_sort use of distributed random forest model to quantify risk predictors for tracheostomy requirements in septic patients: a retrospective cohort study
topic 3900
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360240/
https://www.ncbi.nlm.nih.gov/pubmed/32664069
http://dx.doi.org/10.1097/MD.0000000000020757
work_keys_str_mv AT rodrigueslorenaaparecidadebrito theuseofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT lagoalessandrafabiane theuseofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT meneguetimayragoncalves theuseofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT fariasvivianeaparecida theuseofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT auxiliadoramartinsmaria theuseofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT ferezmarcusantonio theuseofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT martinezedsonzangiacomi theuseofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT basilefilhoanibal theuseofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT rodrigueslorenaaparecidadebrito useofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT lagoalessandrafabiane useofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT meneguetimayragoncalves useofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT fariasvivianeaparecida useofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT auxiliadoramartinsmaria useofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT ferezmarcusantonio useofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT martinezedsonzangiacomi useofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy
AT basilefilhoanibal useofdistributedrandomforestmodeltoquantifyriskpredictorsfortracheostomyrequirementsinsepticpatientsaretrospectivecohortstudy