Exhaled nitric oxide and respiratory symptoms in a community sample of school aged children
Bibliographic record
Abstract
OBJECTIVE: To test the association between reported allergy and allergic diseases, respiratory symptoms, and the fractional concentration of exhaled nitric oxide (FeNO), in a community sample of school aged children. METHODOLOGY: We administered a respiratory questionnaire and measured FeNO in a cross-sectional study of 1,135 children. RESULTS: FeNO was significantly greater in children with reported asthma (20.3 (standard deviation (SD) 21.3) parts per billion (ppb)) or allergies (18.1 (SD 18.0) ppb) than in healthy children (14.0 (SD 13.4) ppb). It was greater in children with asthma and reported allergies (22.8 (SD 23.6) ppb), than in children with asthma but no allergies (15.8 (SD 15.6) ppb) (overall P-value between disease groups = 0.002). FeNO was not related to respiratory symptoms in healthy children. Eczema was associated with an elevated FeNO concentration, even in the absence of respiratory symptoms. Some children with reported allergies but not asthma who had respiratory symptoms suggestive of asthma had elevated FeNO concentrations, and the proportion of healthy children with reported bronchitis or pneumonia in the past year who had an abnormally high FeNO concentration was significantly elevated. CONCLUSIONS: In a community sample of children, FeNO concentrations appear to reflect allergic conditions, including allergic asthma, reported allergies, and eczema, rather than just asthma, particularly since asthma in children may be non-allergic. FeNO is similarly elevated in school aged children with reported asthma or reported allergies. FeNO is higher in children with asthma and allergies than in children with asthma alone. However, an elevated FeNO may help alert the clinician to the possibility of undiagnosed asthma.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".