Relationship between Sputum Eosinophilia and Sinus Disease in Patients with Eosinophilic Bronchitis
Bibliographic record
Abstract
BACKGROUND: Sinus disease is commonly seen in patients with asthma, and several studies have been published describing the relationship between sinus disease and the inflammation seen in the sputum of asthmatic subjects. In this article, we expand on this knowledge by studying patients with eosinophilic bronchitis with and without asthma. METHODS: We describe the relationship between the severity of sinus disease determined by the Lund-Mackay score and sputum eosinophilia. Comparisons with blood eosinophil and total immunoglobulin (IgE) measurements are made. RESULTS: We have shown that the severity of sinus disease is positively correlated with sputum eosinophil counts, and the site of sinus disease affected the level of eosinophilia. There was a positive correlation between sputum eosinophils and blood eosinophils, but there was no relationship with blood total IgE levels. CONCLUSIONS: We have confirmed that there is a link between upper and lower airway inflammation and that this is not limited to patients with asthma. The process is associated with systemic inflammation as evidenced by increased blood eosinophils but appears to be independent of IgE.
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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 | 0.003 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".