Article ; Online: Airway oscillometry parameters in baseline lung allograft dysfunction: Associations from a multicenter study.
2023 Volume 42, Issue 6, Page(s) 767–777
Abstract: Background: Baseline lung allograft dysfunction (BLAD), the failure to achieve ≥80%-predicted spirometry after lung transplant (LTx), is associated with impaired survival. Physiologic abnormalities in BLAD are poorly understood. Airway oscillometry ... ...
Abstract | Background: Baseline lung allograft dysfunction (BLAD), the failure to achieve ≥80%-predicted spirometry after lung transplant (LTx), is associated with impaired survival. Physiologic abnormalities in BLAD are poorly understood. Airway oscillometry measures respiratory system mechanics and may provide insight into understanding the mechanisms of BLAD. Objectives: This study aims to describe and measure the association between airway oscillometry parameters [Reactance (X Methods: A multi-center cross-sectional study was performed including bilateral LTx between January 2020 and June 2021. Participants performed concurrent airway oscillometry and spirometry. Multivariable logistic regression was performed to measure the association between oscillometry parameters and BLAD. Results: A total of 404 LTx recipients performed oscillometry and 253 were included for analysis. Stable allograft function was confirmed in 149 (50.2%) recipients (92 (61.7%) achieving normal spirometry and 57 (38.3%) with BLAD). Among stable LTx recipients, lower X Conclusions: Oscillometry provides novel physiologic insights into mechanisms of BLAD. The independent association between X |
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MeSH term(s) | Humans ; Oscillometry ; Cross-Sectional Studies ; Lung ; Respiratory Function Tests ; Lung Transplantation ; Spirometry ; Allografts |
Language | English |
Publishing date | 2023-01-06 |
Publishing country | United States |
Document type | Multicenter Study ; Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 1062522-7 |
ISSN | 1557-3117 ; 1053-2498 |
ISSN (online) | 1557-3117 |
ISSN | 1053-2498 |
DOI | 10.1016/j.healun.2022.12.026 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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