The Healthcare Burden of Pediatric Cough and its Association with Preschool Asthma
Bibliographic record
Abstract
Asthma is the most common chronic airway disease and contributes to pediatric healthcare burden. Although cough is a clinically relevant asthma symptom, predictive tools prioritize wheeze, leaving the burden of cough underexplored. This thesis examines associations between cough, asthma, and healthcare utilization, and identifies longitudinal cough trajectories in Canadian preschool-aged children using data from the CHILD Study, a prospective birth cohort. Parent-reported and clinical questionnaires captured cough presence, duration, severity, and frequency; wheeze; unscheduled doctor visits (UDVs); hospital visits (HVs); and medication use, including bronchodilators and corticosteroids (inhaled and oral). Generalized estimating equations assessed longitudinal associations, while group-based trajectory modeling identified cough patterns. Cough lasting ≥4 days or of moderate-severe intensity was associated with increased medication use and healthcare visits. Three distinct cough trajectories were identified, where the late-onset trajectory was associated with UDVs and bronchodilator use. These findings suggest that cough warrants careful evaluation by clinicians in early childhood.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".