Cargando…
Alcohol withdrawal syndrome in ICU patients: Clinical features, management, and outcome predictors
BACKGROUND: Alcohol withdrawal syndrome (AWS) is a common condition in hospitalized patients, yet its epidemiology in the ICU remains poorly characterized. METHODS: Retrospective cohort of patients admitted to the Nantes University Hospital ICU between January 1, 2017, and December 31, 2019, and cod...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8687554/ https://www.ncbi.nlm.nih.gov/pubmed/34928984 http://dx.doi.org/10.1371/journal.pone.0261443 |
_version_ | 1784618196162052096 |
---|---|
author | Vigouroux, Aliénor Garret, Charlotte Lascarrou, Jean-Baptiste Martin, Maëlle Miailhe, Arnaud-Félix Lemarié, Jérémie Dupeyrat, Julien Zambon, Olivier Seguin, Amélie Reignier, Jean Canet, Emmanuel |
author_facet | Vigouroux, Aliénor Garret, Charlotte Lascarrou, Jean-Baptiste Martin, Maëlle Miailhe, Arnaud-Félix Lemarié, Jérémie Dupeyrat, Julien Zambon, Olivier Seguin, Amélie Reignier, Jean Canet, Emmanuel |
author_sort | Vigouroux, Aliénor |
collection | PubMed |
description | BACKGROUND: Alcohol withdrawal syndrome (AWS) is a common condition in hospitalized patients, yet its epidemiology in the ICU remains poorly characterized. METHODS: Retrospective cohort of patients admitted to the Nantes University Hospital ICU between January 1, 2017, and December 31, 2019, and coded for AWS using ICD-10 criteria. The objective of the study was to identify factors associated with complicated hospital stay defined as ICU length of stay ≥7 days or hospital mortality. RESULTS: Among 5,641 patients admitted to the ICU during the study period, 246 (4.4%) were coded as having AWS. Among them, 42 had exclusion criteria and 204 were included in the study. The three main reasons for ICU admission were sepsis (29.9%), altered consciousness (29.4%), and seizures (24%). At ICU admission, median Cushman’s score was 6 [4–9] and median SOFA score was 3 [2–6]. Delirium tremens occurred in half the patients, seizures in one fifth and pneumonia in one third. Overall, 48% of patients developed complicated hospital stay, of whom 92.8% stayed in the ICU for ≥7 days, 36.7% received MV for ≥7 days, and 16.3% died during hospital stay. By multivariable analysis, two factors were associated with complicated hospital stay: a higher number of organ dysfunctions at ICU admission was associated with a higher risk of complicated hospital stay (OR, 1.18; 95CI, 1.05–1.32, P = 0.005), whereas ICU admission for seizures was associated with a lower risk of complicated hospital stay (OR, 0.14; 95%CI, 0.026–0.80; P = 0.026). CONCLUSIONS: AWS in ICU patients chiefly affects young adults and is often associated with additional factors such as sepsis, trauma, or surgery. Half the patients experienced an extended ICU stay or death during the hospital stay. The likelihood of developing complicated hospital stay relied on the reason for ICU admission and the number of organ dysfunctions at ICU admission. |
format | Online Article Text |
id | pubmed-8687554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-86875542021-12-21 Alcohol withdrawal syndrome in ICU patients: Clinical features, management, and outcome predictors Vigouroux, Aliénor Garret, Charlotte Lascarrou, Jean-Baptiste Martin, Maëlle Miailhe, Arnaud-Félix Lemarié, Jérémie Dupeyrat, Julien Zambon, Olivier Seguin, Amélie Reignier, Jean Canet, Emmanuel PLoS One Research Article BACKGROUND: Alcohol withdrawal syndrome (AWS) is a common condition in hospitalized patients, yet its epidemiology in the ICU remains poorly characterized. METHODS: Retrospective cohort of patients admitted to the Nantes University Hospital ICU between January 1, 2017, and December 31, 2019, and coded for AWS using ICD-10 criteria. The objective of the study was to identify factors associated with complicated hospital stay defined as ICU length of stay ≥7 days or hospital mortality. RESULTS: Among 5,641 patients admitted to the ICU during the study period, 246 (4.4%) were coded as having AWS. Among them, 42 had exclusion criteria and 204 were included in the study. The three main reasons for ICU admission were sepsis (29.9%), altered consciousness (29.4%), and seizures (24%). At ICU admission, median Cushman’s score was 6 [4–9] and median SOFA score was 3 [2–6]. Delirium tremens occurred in half the patients, seizures in one fifth and pneumonia in one third. Overall, 48% of patients developed complicated hospital stay, of whom 92.8% stayed in the ICU for ≥7 days, 36.7% received MV for ≥7 days, and 16.3% died during hospital stay. By multivariable analysis, two factors were associated with complicated hospital stay: a higher number of organ dysfunctions at ICU admission was associated with a higher risk of complicated hospital stay (OR, 1.18; 95CI, 1.05–1.32, P = 0.005), whereas ICU admission for seizures was associated with a lower risk of complicated hospital stay (OR, 0.14; 95%CI, 0.026–0.80; P = 0.026). CONCLUSIONS: AWS in ICU patients chiefly affects young adults and is often associated with additional factors such as sepsis, trauma, or surgery. Half the patients experienced an extended ICU stay or death during the hospital stay. The likelihood of developing complicated hospital stay relied on the reason for ICU admission and the number of organ dysfunctions at ICU admission. Public Library of Science 2021-12-20 /pmc/articles/PMC8687554/ /pubmed/34928984 http://dx.doi.org/10.1371/journal.pone.0261443 Text en © 2021 Vigouroux et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Vigouroux, Aliénor Garret, Charlotte Lascarrou, Jean-Baptiste Martin, Maëlle Miailhe, Arnaud-Félix Lemarié, Jérémie Dupeyrat, Julien Zambon, Olivier Seguin, Amélie Reignier, Jean Canet, Emmanuel Alcohol withdrawal syndrome in ICU patients: Clinical features, management, and outcome predictors |
title | Alcohol withdrawal syndrome in ICU patients: Clinical features, management, and outcome predictors |
title_full | Alcohol withdrawal syndrome in ICU patients: Clinical features, management, and outcome predictors |
title_fullStr | Alcohol withdrawal syndrome in ICU patients: Clinical features, management, and outcome predictors |
title_full_unstemmed | Alcohol withdrawal syndrome in ICU patients: Clinical features, management, and outcome predictors |
title_short | Alcohol withdrawal syndrome in ICU patients: Clinical features, management, and outcome predictors |
title_sort | alcohol withdrawal syndrome in icu patients: clinical features, management, and outcome predictors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8687554/ https://www.ncbi.nlm.nih.gov/pubmed/34928984 http://dx.doi.org/10.1371/journal.pone.0261443 |
work_keys_str_mv | AT vigourouxalienor alcoholwithdrawalsyndromeinicupatientsclinicalfeaturesmanagementandoutcomepredictors AT garretcharlotte alcoholwithdrawalsyndromeinicupatientsclinicalfeaturesmanagementandoutcomepredictors AT lascarroujeanbaptiste alcoholwithdrawalsyndromeinicupatientsclinicalfeaturesmanagementandoutcomepredictors AT martinmaelle alcoholwithdrawalsyndromeinicupatientsclinicalfeaturesmanagementandoutcomepredictors AT miailhearnaudfelix alcoholwithdrawalsyndromeinicupatientsclinicalfeaturesmanagementandoutcomepredictors AT lemariejeremie alcoholwithdrawalsyndromeinicupatientsclinicalfeaturesmanagementandoutcomepredictors AT dupeyratjulien alcoholwithdrawalsyndromeinicupatientsclinicalfeaturesmanagementandoutcomepredictors AT zambonolivier alcoholwithdrawalsyndromeinicupatientsclinicalfeaturesmanagementandoutcomepredictors AT seguinamelie alcoholwithdrawalsyndromeinicupatientsclinicalfeaturesmanagementandoutcomepredictors AT reignierjean alcoholwithdrawalsyndromeinicupatientsclinicalfeaturesmanagementandoutcomepredictors AT canetemmanuel alcoholwithdrawalsyndromeinicupatientsclinicalfeaturesmanagementandoutcomepredictors |