Correlation of respiratory oscillometry with CT image analysis in a prospective cohort of idiopathic pulmonary fibrosis.


Journal

BMJ open respiratory research
ISSN: 2052-4439
Titre abrégé: BMJ Open Respir Res
Pays: England
ID NLM: 101638061

Informations de publication

Date de publication:
04 2022
Historique:
received: 29 11 2021
accepted: 28 03 2022
entrez: 9 4 2022
pubmed: 10 4 2022
medline: 13 4 2022
Statut: ppublish

Résumé

Markers of idiopathic pulmonary fibrosis (IPF) severity are based on measurements of forced vital capacity (FVC), diffusing capacity (DLCO) and CT. The pulmonary vessel volume (PVV) is a novel quantitative and independent prognostic structural indicator derived from automated CT analysis. The current prospective cross-sectional study investigated whether respiratory oscillometry provides complementary data to pulmonary function tests (PFTs) and is correlated with PVV. From September 2019 to March 2020, we enrolled 89 patients with IPF diagnosed according to international guidelines. We performed standard spectral (5-37 Hz) and novel intrabreath tracking (10 Hz) oscillometry followed by PFTs. Patients were characterised with the gender-age-physiology (GAP) score. CT images within 6 months of oscillometry were analysed in a subgroup (26 patients) using automated lung texture analysis. Correlations between PFTs, oscillometry and imaging variables were investigated using different regression models. The cohort (29F/60M; age=71.7±7.8 years) had mild IPF (%FVC=70±17, %DLCO=62±17). Spectral oscillometry revealed normal respiratory resistance, low reactance, especially during inspiration at 5 Hz (X5in), elevated reactance area and resonance frequency. Intrabreath oscillometry identified markedly low reactance at end-inspiration (XeI). XeI and X5in strongly correlated with FVC (r XeI is an independent marker of IPF severity that offers additional information to standard PFTs. The data provide a cogent rationale for adding oscillometry in IPF assessment.

Sections du résumé

BACKGROUND
Markers of idiopathic pulmonary fibrosis (IPF) severity are based on measurements of forced vital capacity (FVC), diffusing capacity (DLCO) and CT. The pulmonary vessel volume (PVV) is a novel quantitative and independent prognostic structural indicator derived from automated CT analysis. The current prospective cross-sectional study investigated whether respiratory oscillometry provides complementary data to pulmonary function tests (PFTs) and is correlated with PVV.
METHODS
From September 2019 to March 2020, we enrolled 89 patients with IPF diagnosed according to international guidelines. We performed standard spectral (5-37 Hz) and novel intrabreath tracking (10 Hz) oscillometry followed by PFTs. Patients were characterised with the gender-age-physiology (GAP) score. CT images within 6 months of oscillometry were analysed in a subgroup (26 patients) using automated lung texture analysis. Correlations between PFTs, oscillometry and imaging variables were investigated using different regression models.
FINDINGS
The cohort (29F/60M; age=71.7±7.8 years) had mild IPF (%FVC=70±17, %DLCO=62±17). Spectral oscillometry revealed normal respiratory resistance, low reactance, especially during inspiration at 5 Hz (X5in), elevated reactance area and resonance frequency. Intrabreath oscillometry identified markedly low reactance at end-inspiration (XeI). XeI and X5in strongly correlated with FVC (r
INTERPRETATION
XeI is an independent marker of IPF severity that offers additional information to standard PFTs. The data provide a cogent rationale for adding oscillometry in IPF assessment.

Identifiants

pubmed: 35396320
pii: 9/1/e001163
doi: 10.1136/bmjresp-2021-001163
pmc: PMC8996008
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: C-WC has received speaking fees for webinars supported by Thorasys Thoracic Medical Systems Inc. and has received consulting fees for Theravance Biopharma, Inc. ZH has received consultation fees from Thorasys Thoracic Medical Systems Inc. on subjects unrelated to this study.

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Auteurs

Joyce K Y Wu (JKY)

Department of Medicine, University Health Network, Toronto, Ontario, Canada.

Jin Ma (J)

Biostatistics Research Unit, University Health Network, Toronto, Ontario, Canada.

Lena Nguyen (L)

Medicine, University of Toronto, Toronto, Ontario, Canada.

Emily Leah Dehaas (EL)

Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Respirology, University of Toronto, Toronto, Ontario, Canada.

Anastasiia Vasileva (A)

Department of Medicine, University Health Network, Toronto, Ontario, Canada.
Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Respirology, University of Toronto, Toronto, Ontario, Canada.

Ehren Chang (E)

Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Respirology, University of Toronto, Toronto, Ontario, Canada.

Jady Liang (J)

Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Respirology, University of Toronto, Toronto, Ontario, Canada.

Qian Wen Huang (QW)

Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Respirology, University of Toronto, Toronto, Ontario, Canada.

Antonio Cassano (A)

Department of Medicine, University Health Network, Toronto, Ontario, Canada.

Matthew Binnie (M)

Department of Medicine, University Health Network, Toronto, Ontario, Canada.
Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Respirology, University of Toronto, Toronto, Ontario, Canada.

Shane Shapera (S)

Department of Medicine, University Health Network, Toronto, Ontario, Canada.
Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Respirology, University of Toronto, Toronto, Ontario, Canada.

Jolene Fisher (J)

Department of Medicine, University Health Network, Toronto, Ontario, Canada.
Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Respirology, University of Toronto, Toronto, Ontario, Canada.

Clodagh M Ryan (CM)

Department of Medicine, University Health Network, Toronto, Ontario, Canada.
Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Respirology, University of Toronto, Toronto, Ontario, Canada.

Micheal Chad McInnis (MC)

Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.

Zoltán Hantos (Z)

Department of Anesthesiology and Intensive Therapy, Semmelweis University, Budapest, Hungary.

Chung-Wai Chow (CW)

Department of Medicine, University Health Network, Toronto, Ontario, Canada Chung-Wai.Chow@uhn.ca.
Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Respirology, University of Toronto, Toronto, Ontario, Canada.

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