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Record W4416840290 · doi:10.1136/bmjresp-2025-003600

Standard pulmonary function tests and respiratory oscillometry patterns in hypersensitivity pneumonitis and idiopathic pulmonary fibrosis

2025· article· en· W4416840290 on OpenAlexafffund
Joyce Wu, Jessica Jia-Ni Xu, Tadahisa Numakura, Clodagh M. Ryan, Micheal McInnis, Matthew Binnie, Shane Shapera, Jolene H. Fisher, Zoltán Hantos, Chung‐Wai Chow

Bibliographic record

VenueBMJ Open Respiratory Research · 2025
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersCanadian Institutes of Health ResearchHungarian Scientific Research Fund
KeywordsHypersensitivity pneumonitisIdiopathic pulmonary fibrosisPulmonary function testingRespiratory systemAirwayAirway obstructionPulmonary fibrosisFibrosis

Abstract

fetched live from OpenAlex

Background Hypersensitivity pneumonitis (HP) is an interstitial lung disease (ILD) caused by repeated exposure to inhaled antigens, leading to small airway and parenchymal inflammation. Diagnosis is based on a detailed clinical history, chest imaging and invasive tests such as bronchoalveolar lavage. Distinguishing HP from other ILDs is challenging. Respiratory oscillometry, a novel pulmonary function test (PFT), is highly sensitive to small airway abnormalities. Oscillometry measurement of reactance is strongly correlated with gender-age-physiology score, a prognostic tool used to predict mortality and disease severity in idiopathic pulmonary fibrosis (IPF). Objective To determine if oscillometry and standard PFT patterns are different in HP and IPF. Methods 39 HP (79.5% with fibrotic HP) were enrolled from October 2022 to December 2023 for oscillometry before clinically-indicated standard PFTs and compared with 39 age-matched and sex-matched patients with IPF who also had same day oscillometry and standard PFTs. The main oscillometry metrics of interest were R5-19 (the difference in resistance from 5 to 19 Hz, a metric of small airway function and ventilatory inhomogeneity that increases with worsening respiratory mechanics), X5 (reactance at 5 Hz) which primarily reflects respiratory elastance and AX (area of reactance), a summative measure of the respiratory system stiffness across a range of frequencies, that behaves similarly but in opposite direction to X5. Results Patients with HP exhibited higher residual volume/total lung capacity (RV/TLC), lower per cent predicted (%) forced expiratory volume in 1 s (FEV 1 ) and % predicted forced vital capacity (FVC) than IPF (p<0.05) while FEV 1 /FVC and %TLC were similar. Oscillometry showed higher R5-19 in HP. RV/TLC ratio correlated with AX (r 2 =0.72), X5 (r 2 =0.66) and R5-19 (r 2 =0.64). Conclusion Gas trapping (RV/TLC>0.40) is a feature of HP not observed in IPF. The strong correlations of RV/TLC with AX, X5 and R5-19 suggest that oscillometry can provide non-invasive markers of small airway obstruction in HP that can differentiate it from IPF.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.418
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes2
Has abstractyes

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