Exercise-Induced Asthma in Asthmatic Children of Southern Iran
Bibliographic record
Abstract
BACKGROUND: Asthma is a common illness, especially among children. Exercise-induced asthma is an important consideration, both as a factor, limiting physical activity of patients, and also as an indicator of poor long term control. We investigated pre-Valence of exercise-induced asthma in a group of asthmatic children living in southern Iran. METHODS: We conducted treadmill exercise challenge test in 40 young asthmatic patients aged 6 to 18. After 8 minutes exercise to achieve 80% of maximum heart rate predicted for age, patients were examined and spirometry values recorded at frequent intervals. We defined exercise-induced asthma as 10% or more decline in Forced Expiratory Volume in one second (FEV1) within 30 minutes after exercise challenge. RESULTS: Of 40 patients evaluated, 22 patients ( 55% of total ) met our criteria for exercise-induced asthma. Most positive responses (7 of 22, 31.8%) occurred at about 10 minutes after exercise. Cough was the most consistent sign (18 of 22 patients, 81%). In 2 patients (9%), FEV 1 decline did not accompany any symptom or sign. CONCLUSION: We concluded that Exercise- induced asthma occurs in a relatively smaller subset of southern Iranian asthmatic children. Also treadmill exercise challenge performed by a trained staff, following standard protocol and using enough monitoring and precautions is safe and diagnostic in children and adolescents.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".