Clinical predictors of non-acute airflow obstruction in children with asthma
Bibliographic record
Abstract
Background: There is increasing concern about children with asthma developing progressive lung function impairment. The objective was to identify spirometry predictors of a subsequent airflow obstruction (AO) in children with asthma. Design: We assembled two retrospective cohorts of children aged 6-17 years with asthma, repeated spirometry testing, medical and drug coverage, treated in two tertiary-care asthma centres: Montreal Children’s Hospital (MCH) and Centre Hospitalier Universitaire Sainte-Justine (CHUSJ). The primary outcome was pre-BD AO defined as FEV1 or FEV1/FVC ratio below lower limit of normal (LLN). Lung function parameters, documented prior to index visit, included pre-BD FEV1 Z-score, maximum between-visit variation in FEV1 (highest—lowest Z-Score ever), and post-BD FEV1 response ≥10% ever recorded. Potential covariates/confounders were adjusted in multivariable logistic regression models. Results: Of 716 eligible children (mean age:10 years), 24% developed a pre-BD AO. Three spirometric parameters were significantly associated with pre-BD AO: pre-BD FEV1 Z-score (previous visit), maximum variation in pre-BD FEV1 Z-score, and, in the MCH cohort, a positive BD response. erj;64/suppl_68/PA3132/F1 F1 F1 Additional predictors included: suboptimal monitoring, higher Step therapy, and poor control. Conclusion: Higher FEV1 was protective for, whereas higher (between-visit and post-BD) variation of FEV1 significantly increased, the risk of developing AO.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".