Predictors of Discharge with Supplemental Oxygen after Lobectomy for Lung Cancer.


Journal

The Annals of thoracic surgery
ISSN: 1552-6259
Titre abrégé: Ann Thorac Surg
Pays: Netherlands
ID NLM: 15030100R

Informations de publication

Date de publication:
28 Aug 2024
Historique:
received: 18 03 2024
revised: 25 07 2024
accepted: 12 08 2024
medline: 31 8 2024
pubmed: 31 8 2024
entrez: 30 8 2024
Statut: aheadofprint

Résumé

Before lung cancer resection, patients inquire about dyspnea and the potential need for supplemental oxygen. Our objective was to identify predictors of discharge with supplemental oxygen for patients undergoing lobectomy for lung cancer. Using the Society of Thoracic Surgeons General Thoracic Surgery Database, we conducted a retrospective cohort study of patients undergoing lobectomy for lung cancer from July 2018 - December 2021. Multivariable logistic regression was used to determine the adjusted association of pulmonary function with discharge on supplemental oxygen and identify independent predictors of discharge with supplemental oxygen. Pulmonary function was modeled as the minimum of either ppoFEV Overall, 2,100 (8.4%) patients undergoing lobectomy were discharged with supplemental oxygen. Those with a minimum of either ppoFEV Of those undergoing lobectomy for lung cancer, 8.4% were discharged with supplemental oxygen. We identified preoperative independent predictors of discharge with supplemental oxygen that may be useful during shared decision-making discussions of treatment options for lung cancer and setting expectations with patients.

Sections du résumé

BACKGROUND BACKGROUND
Before lung cancer resection, patients inquire about dyspnea and the potential need for supplemental oxygen. Our objective was to identify predictors of discharge with supplemental oxygen for patients undergoing lobectomy for lung cancer.
METHODS METHODS
Using the Society of Thoracic Surgeons General Thoracic Surgery Database, we conducted a retrospective cohort study of patients undergoing lobectomy for lung cancer from July 2018 - December 2021. Multivariable logistic regression was used to determine the adjusted association of pulmonary function with discharge on supplemental oxygen and identify independent predictors of discharge with supplemental oxygen. Pulmonary function was modeled as the minimum of either ppoFEV
RESULTS RESULTS
Overall, 2,100 (8.4%) patients undergoing lobectomy were discharged with supplemental oxygen. Those with a minimum of either ppoFEV
CONCLUSIONS CONCLUSIONS
Of those undergoing lobectomy for lung cancer, 8.4% were discharged with supplemental oxygen. We identified preoperative independent predictors of discharge with supplemental oxygen that may be useful during shared decision-making discussions of treatment options for lung cancer and setting expectations with patients.

Identifiants

pubmed: 39214441
pii: S0003-4975(24)00693-3
doi: 10.1016/j.athoracsur.2024.08.009
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Lisa M Brown (LM)

University of California Davis Health, Department of Surgery, Division of General Thoracic Surgery. Electronic address: lmbrown@ucdavis.edu.

Levi Bonnell (L)

Society of Thoracic Surgeons Research and Analytic Center.

Niharika Parsons (N)

Society of Thoracic Surgeons Research and Analytic Center.

David T Cooke (DT)

University of California Davis Health, Department of Surgery, Division of General Thoracic Surgery.

Luis A Godoy (LA)

University of California Davis Health, Department of Surgery, Division of General Thoracic Surgery.

Elizabeth A David (EA)

University of Colorado, Department of Surgery, Division of Cardiothoracic Surgery.

Paul Schipper (P)

Oregon Health & Science University, Department of Surgery, Division of Cardiothoracic Surgery.

Thomas K Varghese (TK)

University of Utah Health, Department of Surgery, Division of Cardiothoracic Surgery.

Robert Habib (R)

Society of Thoracic Surgeons Research and Analytic Center.

Brian Mitzman (B)

University of Utah Health, Department of Surgery, Division of Cardiothoracic Surgery.

Classifications MeSH