Obesity as a Predictor of Prolonged Mechanical Ventilation.

intensive care unit obesity predictors of prolonged mechanical ventilation prolonged intubation prolonged mechanical ventilation tracheostomy

Journal

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
ISSN: 1097-6817
Titre abrégé: Otolaryngol Head Neck Surg
Pays: England
ID NLM: 8508176

Informations de publication

Date de publication:
Oct 2020
Historique:
pubmed: 20 5 2020
medline: 15 12 2020
entrez: 20 5 2020
Statut: ppublish

Résumé

To examine the effect of including obesity with parameters of the I-TRACH scale in predicting the need for prolonged mechanical ventilation. A retrospective cohort study. Tertiary care academic medical center. Consecutive patients were identified retrospectively over a 45-month period based on need for mechanical ventilation in the medical intensive care unit. Chart review was performed to collect demographic information as well as clinical data, including duration of mechanical ventilation, body mass index (BMI), and I-TRACH parameters (heart rate >110, serum urea nitrogen >25, serum pH <7.25, serum creatinine >2, serum bicarbonate <20). Statistical analysis was performed to identify any predictors of prolonged mechanical ventilation, defined as ≥14 days and as ≥10 days. In total, 455 patients were identified, with an average duration of mechanical ventilation of 10.4 days (range, 0-248 days). On univariate and multivariate regression analysis, only BMI >30 reached statistical significance with respect to prolonged mechanical ventilation ( This study challenges previous findings regarding the I-TRACH scale and the relation of its parameters to prolonged mechanical ventilation. Furthermore, BMI >30 alone was predictive of prolonged intubation. Inclusion of BMI in predictive models could assist current decision making in determining the likelihood of prolonged mechanical ventilation in medical intensive care unit patients going forward, and obesity should be considered a predictor of prolonged mechanical ventilation.

Identifiants

pubmed: 32423339
doi: 10.1177/0194599820923601
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

750-754

Auteurs

Diana Shao (D)

The Ohio State University College of Medicine, Columbus, Ohio, USA.

Jeffrey Straub (J)

Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.

Laura Matrka (L)

Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.

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Classifications MeSH