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Characterization of chronic lung allograft dysfunction phenotypes using spectral and intrabreath oscillometry

Background: Chronic lung allograft dysfunction (CLAD) is the major cause of death beyond 2 years after lung transplantation and develops in 50% of all patients by 5 years post-transplant. CLAD is diagnosed on the basis of a sustained drop of 20% for at least 3 months in the forced expiratory volume...

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Autores principales: Fu, Anne, Vasileva, Anastasiia, Hanafi, Nour, Belousova, Natalia, Wu, Joyce, Rajyam, Sarada Sriya, Ryan, Clodagh M., Hantos, Zoltán, Chow, Chung-Wai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582781/
https://www.ncbi.nlm.nih.gov/pubmed/36277208
http://dx.doi.org/10.3389/fphys.2022.980942
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author Fu, Anne
Vasileva, Anastasiia
Hanafi, Nour
Belousova, Natalia
Wu, Joyce
Rajyam, Sarada Sriya
Ryan, Clodagh M.
Hantos, Zoltán
Chow, Chung-Wai
author_facet Fu, Anne
Vasileva, Anastasiia
Hanafi, Nour
Belousova, Natalia
Wu, Joyce
Rajyam, Sarada Sriya
Ryan, Clodagh M.
Hantos, Zoltán
Chow, Chung-Wai
author_sort Fu, Anne
collection PubMed
description Background: Chronic lung allograft dysfunction (CLAD) is the major cause of death beyond 2 years after lung transplantation and develops in 50% of all patients by 5 years post-transplant. CLAD is diagnosed on the basis of a sustained drop of 20% for at least 3 months in the forced expiratory volume (FEV(1)), compared to the best baseline value achieved post-transplant. CLAD presents as two main phenotypes: bronchiolitis obliterans syndrome (BOS) is more common and has better prognosis than restrictive allograft syndrome (RAS). Respiratory oscillometry is a different modality of lung function testing that is highly sensitive to lung mechanics. The current study investigated whether spectral and intrabreath oscillometry can differentiate between CLAD-free, BOS- and RAS-CLAD at CLAD onset, i.e., at the time of the initial 20% drop in the FEV(1). Methods: A retrospective, cross-sectional analysis of 263 double lung transplant recipients who underwent paired testing with oscillometry and spirometry at the Toronto General Pulmonary Function Laboratory from 2017 to 2022 was conducted. All pulmonary function testing and CLAD diagnostics were performed following international guidelines. Statistical analysis was conducted using multiple comparisons. Findings: The RAS (n = 6) spectral oscillometry pattern differs from CLAD-free (n = 225) by right-ward shift of reactance curve similar to idiopathic pulmonary fibrosis whereas BOS (n = 32) has a pattern similar to obstructive lung disease. Significant differences were found in most spectral and intrabreath parameters between BOS, RAS, and time-matched CLAD-free patients. Post-hoc analysis revealed these differences were primarily driven by BOS instead of RAS. While no differences were found between CLAD-free and RAS patients with regards to spectral oscillometry, the intrabreath metric of reactance at end-inspiration (XeI) was significantly different (p < 0.05). BOS and RAS were differentiated by spectral oscillometry measure R5, and intrabreath resistance at end expiration, ReE (p < 0.05 for both). Conclusion: Both spectral and intrabreath oscillometry can differentiate BOS-CLAD from CLAD-free states while intrabreath oscillometry, specifically XeI, can uniquely distinguish RAS-CLAD from CLAD-free. Spectral and intrabreath oscillometry offer complementary information regarding lung mechanics in CLAD patients to help distinguish the two phenotypes and could prove useful in prognostication.
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spelling pubmed-95827812022-10-21 Characterization of chronic lung allograft dysfunction phenotypes using spectral and intrabreath oscillometry Fu, Anne Vasileva, Anastasiia Hanafi, Nour Belousova, Natalia Wu, Joyce Rajyam, Sarada Sriya Ryan, Clodagh M. Hantos, Zoltán Chow, Chung-Wai Front Physiol Physiology Background: Chronic lung allograft dysfunction (CLAD) is the major cause of death beyond 2 years after lung transplantation and develops in 50% of all patients by 5 years post-transplant. CLAD is diagnosed on the basis of a sustained drop of 20% for at least 3 months in the forced expiratory volume (FEV(1)), compared to the best baseline value achieved post-transplant. CLAD presents as two main phenotypes: bronchiolitis obliterans syndrome (BOS) is more common and has better prognosis than restrictive allograft syndrome (RAS). Respiratory oscillometry is a different modality of lung function testing that is highly sensitive to lung mechanics. The current study investigated whether spectral and intrabreath oscillometry can differentiate between CLAD-free, BOS- and RAS-CLAD at CLAD onset, i.e., at the time of the initial 20% drop in the FEV(1). Methods: A retrospective, cross-sectional analysis of 263 double lung transplant recipients who underwent paired testing with oscillometry and spirometry at the Toronto General Pulmonary Function Laboratory from 2017 to 2022 was conducted. All pulmonary function testing and CLAD diagnostics were performed following international guidelines. Statistical analysis was conducted using multiple comparisons. Findings: The RAS (n = 6) spectral oscillometry pattern differs from CLAD-free (n = 225) by right-ward shift of reactance curve similar to idiopathic pulmonary fibrosis whereas BOS (n = 32) has a pattern similar to obstructive lung disease. Significant differences were found in most spectral and intrabreath parameters between BOS, RAS, and time-matched CLAD-free patients. Post-hoc analysis revealed these differences were primarily driven by BOS instead of RAS. While no differences were found between CLAD-free and RAS patients with regards to spectral oscillometry, the intrabreath metric of reactance at end-inspiration (XeI) was significantly different (p < 0.05). BOS and RAS were differentiated by spectral oscillometry measure R5, and intrabreath resistance at end expiration, ReE (p < 0.05 for both). Conclusion: Both spectral and intrabreath oscillometry can differentiate BOS-CLAD from CLAD-free states while intrabreath oscillometry, specifically XeI, can uniquely distinguish RAS-CLAD from CLAD-free. Spectral and intrabreath oscillometry offer complementary information regarding lung mechanics in CLAD patients to help distinguish the two phenotypes and could prove useful in prognostication. Frontiers Media S.A. 2022-10-06 /pmc/articles/PMC9582781/ /pubmed/36277208 http://dx.doi.org/10.3389/fphys.2022.980942 Text en Copyright © 2022 Fu, Vasileva, Hanafi, Belousova, Wu, Rajyam, Ryan, Hantos and Chow. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Fu, Anne
Vasileva, Anastasiia
Hanafi, Nour
Belousova, Natalia
Wu, Joyce
Rajyam, Sarada Sriya
Ryan, Clodagh M.
Hantos, Zoltán
Chow, Chung-Wai
Characterization of chronic lung allograft dysfunction phenotypes using spectral and intrabreath oscillometry
title Characterization of chronic lung allograft dysfunction phenotypes using spectral and intrabreath oscillometry
title_full Characterization of chronic lung allograft dysfunction phenotypes using spectral and intrabreath oscillometry
title_fullStr Characterization of chronic lung allograft dysfunction phenotypes using spectral and intrabreath oscillometry
title_full_unstemmed Characterization of chronic lung allograft dysfunction phenotypes using spectral and intrabreath oscillometry
title_short Characterization of chronic lung allograft dysfunction phenotypes using spectral and intrabreath oscillometry
title_sort characterization of chronic lung allograft dysfunction phenotypes using spectral and intrabreath oscillometry
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582781/
https://www.ncbi.nlm.nih.gov/pubmed/36277208
http://dx.doi.org/10.3389/fphys.2022.980942
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