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Small Airway Dysfunction, a Risk for Exacerbations, is Common in Children With Mild, Well-controlled Asthma in Specialty Care

2025· article· en· W4410270995 on OpenAlexaboutno aff
P. Balagani, S.P. Galant, Yukdong Jung, Stephen K. Field, Z. Chhoet, Tricia Morphew

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSpecialtyAsthmaIntensive care medicineAirwayAsthma exacerbationsIntensive careInternal medicineAnesthesiaFamily medicine

Abstract

fetched live from OpenAlex

Abstract Rationale: Although current asthma guidelines have proven effective, many children experience poor asthma control with increased risks of exacerbations and loss of lung function. One possibility could be the failure to recognize the peripheral airways as major sites of airway obstruction. Oscillometry, an in-office procedure, is an effort-independent and effective measurement to identify asthma, uncontrolled asthma, and exacerbation risk in children. It assesses peripheral and central airway function by impedance, including resistance (Rrs) and reactance (Xrs). Although small airway dysfunction (SAD) is most prevalent in children with uncontrolled asthma, studies suggest it is common in well-controlled children with asthma. The purpose of this study was to further establish whether SAD is commonly present in mild, well-controlled children with asthma, and assess characteristics associated with SAD, particularly exacerbations. Methods: This is a post-hoc analysis of a study comparing a new Tremoflo Airwave Oscillometer (AOS) (produced by Thorasys, Montreal, Canada) C2 with the prior FDA-approved device C100. Fifty-three patients from the Allergy-Immunology Department, ages 2 to 7 years, with physician-diagnosed asthma, were evaluated. C100 AOS indices included resistance R7, frequency dependence resistance R7-R19, reactance area (AX), and reactance X7. SAD was identified by a Z score greater than 1.645 RSD, or less than -1.645 for X7. P values indicated the significance of distributional differences between groups based on the Chi-Square Test categorical and independent t-test, and the distributional difference between SAD positive and negative groups. Asthma severity and control were based on National Asthma Education and Prevention Program 2020 guidelines. Results: Nearly half (49.1%) of the children had SAD, despite 84.9% having mild asthma, and 86.8% well-controlled asthma. There was a trend for a higher proportion of SAD-positive children 2-4 years old compared to SAD-negative children (42.3% versus 33.3%), and a greater percentage of males in the SAD-positive group (84.6% versus 63.0%). While 44.2% of the overall population had experienced exacerbations in the previous 12 months, the prevalence was not greater in those SAD-positive. Conclusions: AOS demonstrated that SAD is common in children as young as 2-4 years old with mild, well-controlled asthma. We were unable to demonstrate SAD as a risk factor for previous exacerbations, perhaps due to an inadequate sample size. Prospective studies establishing the value of SAD as an early risk factor for future exacerbations in this susceptible population are needed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.284
Teacher spread0.275 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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