Computed Tomography-Based Body Composition is Related to Perioperative Morbidity in Older Lung Transplant Recipients.
Journal
The Thoracic and cardiovascular surgeon
ISSN: 1439-1902
Titre abrégé: Thorac Cardiovasc Surg
Pays: Germany
ID NLM: 7903387
Informations de publication
Date de publication:
16 Apr 2024
16 Apr 2024
Historique:
medline:
17
4
2024
pubmed:
17
4
2024
entrez:
16
4
2024
Statut:
aheadofprint
Résumé
In older patients, a limited physical reserve is considered a contraindication for lung transplantation (LTx). Herein, we aimed to establish a computed tomography (CT)-based quantification of physical reserve in older patients scheduled for transplantation. This retrospective study included patients older than 60 years who received LTx. Semiautomatic measurements of the mediastinal fat area and the dorsal muscle group area in pretransplantation CT scans were performed, and normalized data were correlated with clinical parameters. Patients ( Body composition parameters determined in pretransplant chest CT scans in older LTx candidates might aid in identifying high-risk patients with a worse perioperative outcome after LTx.
Sections du résumé
BACKGROUND
BACKGROUND
In older patients, a limited physical reserve is considered a contraindication for lung transplantation (LTx). Herein, we aimed to establish a computed tomography (CT)-based quantification of physical reserve in older patients scheduled for transplantation.
METHODS
METHODS
This retrospective study included patients older than 60 years who received LTx. Semiautomatic measurements of the mediastinal fat area and the dorsal muscle group area in pretransplantation CT scans were performed, and normalized data were correlated with clinical parameters.
RESULTS
RESULTS
Patients (
CONCLUSION
CONCLUSIONS
Body composition parameters determined in pretransplant chest CT scans in older LTx candidates might aid in identifying high-risk patients with a worse perioperative outcome after LTx.
Identifiants
pubmed: 38626904
doi: 10.1055/s-0044-1782683
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Déclaration de conflit d'intérêts
None declared.