Cargando…

Development and prospective validation of a model for predicting weaning in chronic ventilator dependent patients

BACKGROUND: Approximately ten percent of patients placed on mechanical ventilation during acute illness will require long-term ventilator support. Unfortunately, despite rehabilitation, some will never be liberated from the ventilator. A method of predicting weaning outcomes for these patients could...

Descripción completa

Detalles Bibliográficos
Autores principales: Hendra, Katherine P, Bonis, Peter AL, Joyce-Brady, Martin
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC305355/
https://www.ncbi.nlm.nih.gov/pubmed/14614783
http://dx.doi.org/10.1186/1471-2466-3-3
_version_ 1782121100787843072
author Hendra, Katherine P
Bonis, Peter AL
Joyce-Brady, Martin
author_facet Hendra, Katherine P
Bonis, Peter AL
Joyce-Brady, Martin
author_sort Hendra, Katherine P
collection PubMed
description BACKGROUND: Approximately ten percent of patients placed on mechanical ventilation during acute illness will require long-term ventilator support. Unfortunately, despite rehabilitation, some will never be liberated from the ventilator. A method of predicting weaning outcomes for these patients could help conserve resources and minimize frustrating failed weaning attempts for this population. The objective of this investigation was to identify predictors of weaning outcome for patients admitted to a chronic ventilator unit (CVU). METHODS: This was a retrospective analysis with prospective validation. The study setting was a 25 bed CVU within a rehabilitation hospital. The training group consisted of 43 patients referred to our facility for weaning after > 3 weeks of mechanical ventilation. A multivariate model to predict weaning outcome was constructed in this group and applied to a prospective group of 31 patients followed during an 18-month period. RESULTS: A modified Glasgow Coma Scale (GCS) and the presence of sustained spontaneous respirations (SSR), defined as the presence of 2 breaths recorded above the ventilator settings on four occasions, were highly predictive of weaning success within six months of CVU admission. Patients with a modified GCS ≥ 8 were 6.5 times more likely to wean than those with a modified GCS < 8 (95% confidence interval 1.6–26.3) and those with SSR were 25.5 times more likely to wean than those without SSR (95% confidence interval 4.3–51.9). CONCLUSIONS: In our population of CVU patients, simple parameters that were available on admission and did not directly reflect cardiopulmonary function were useful predictors of weaning outcome.
format Text
id pubmed-305355
institution National Center for Biotechnology Information
language English
publishDate 2003
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-3053552004-01-01 Development and prospective validation of a model for predicting weaning in chronic ventilator dependent patients Hendra, Katherine P Bonis, Peter AL Joyce-Brady, Martin BMC Pulm Med Research Article BACKGROUND: Approximately ten percent of patients placed on mechanical ventilation during acute illness will require long-term ventilator support. Unfortunately, despite rehabilitation, some will never be liberated from the ventilator. A method of predicting weaning outcomes for these patients could help conserve resources and minimize frustrating failed weaning attempts for this population. The objective of this investigation was to identify predictors of weaning outcome for patients admitted to a chronic ventilator unit (CVU). METHODS: This was a retrospective analysis with prospective validation. The study setting was a 25 bed CVU within a rehabilitation hospital. The training group consisted of 43 patients referred to our facility for weaning after > 3 weeks of mechanical ventilation. A multivariate model to predict weaning outcome was constructed in this group and applied to a prospective group of 31 patients followed during an 18-month period. RESULTS: A modified Glasgow Coma Scale (GCS) and the presence of sustained spontaneous respirations (SSR), defined as the presence of 2 breaths recorded above the ventilator settings on four occasions, were highly predictive of weaning success within six months of CVU admission. Patients with a modified GCS ≥ 8 were 6.5 times more likely to wean than those with a modified GCS < 8 (95% confidence interval 1.6–26.3) and those with SSR were 25.5 times more likely to wean than those without SSR (95% confidence interval 4.3–51.9). CONCLUSIONS: In our population of CVU patients, simple parameters that were available on admission and did not directly reflect cardiopulmonary function were useful predictors of weaning outcome. BioMed Central 2003-11-13 /pmc/articles/PMC305355/ /pubmed/14614783 http://dx.doi.org/10.1186/1471-2466-3-3 Text en Copyright © 2003 Hendra et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research Article
Hendra, Katherine P
Bonis, Peter AL
Joyce-Brady, Martin
Development and prospective validation of a model for predicting weaning in chronic ventilator dependent patients
title Development and prospective validation of a model for predicting weaning in chronic ventilator dependent patients
title_full Development and prospective validation of a model for predicting weaning in chronic ventilator dependent patients
title_fullStr Development and prospective validation of a model for predicting weaning in chronic ventilator dependent patients
title_full_unstemmed Development and prospective validation of a model for predicting weaning in chronic ventilator dependent patients
title_short Development and prospective validation of a model for predicting weaning in chronic ventilator dependent patients
title_sort development and prospective validation of a model for predicting weaning in chronic ventilator dependent patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC305355/
https://www.ncbi.nlm.nih.gov/pubmed/14614783
http://dx.doi.org/10.1186/1471-2466-3-3
work_keys_str_mv AT hendrakatherinep developmentandprospectivevalidationofamodelforpredictingweaninginchronicventilatordependentpatients
AT bonispeteral developmentandprospectivevalidationofamodelforpredictingweaninginchronicventilatordependentpatients
AT joycebradymartin developmentandprospectivevalidationofamodelforpredictingweaninginchronicventilatordependentpatients