Underestimation of Luminal Eosinophilia by Quantitative Sputum Cytometry
Bibliographic record
Abstract
Abstract Rationale: On Wright-stained sputum cytospins, eosinophil differential of >1.2% is considered abnormal and ≥3% clinically relevant. We hypothesized that failure to consider free eosinophil granules (FEG), and the re-emergence of eosinophilia (at ≥1.2 and ≥2.3%) underestimate the prevalence of the eosinophilic phenotype. Methods: This is a retrospective analysis of our Institutional Review Board-approved clinical sputum database. Of the 24,176 examinations, 17,693 had viable cell counts from 9570 patients (6604 on one occasion, 2967 with two or more) with various airway diseases. In all samples, FEGs were semi-quantified to estimate the prevalence of eosinophilia at <1.2 and <2.3%. In those patients with sputum examined on more than one occasion, subsequent results identified re-emergence of eosinophilia at ³1.2 and ³2.3%. Results: Of those with intact cell counts (n=15,278), 8562 (56.0%) and 9690 (63.4%) would have been classified as clinically non-relevant eosinophilia of <1.2% and <2.3% respectively. Among those with two or more intact cell counts, 1142 (38.5%) and 1083 (36.5%) of samples had re-emergence of eosinophilia (at 1.2 and 2.3%), either when a previous neutrophilia resolved (n= 218/19.1%, n=312/28.8%) or due to a reduction in the dose of corticosteroids (n=634/21.4%, n=666/22.4%) with no significant differences between groups (p=0.018). There was a significant difference between the proportions of eosinophilic versus non-eosinophilic at 1.2 and 2.3%, using the presence of FEG and the non-intact cell count (p<0.001). Conclusions: A total of 3180 (32.8%) samples identified as non-eosinophilic, had clinically relevant airway eosinophilia that would not have been identified if the phenotypic classification was limited to ≥2.3% intact eosinophils on one occasion. This underestimation is likely to be significantly more if other means of airway eosinophilic activity were included and if mast cell activity and lymphocyte numbers, (not routinely quantified by sputum cytometry), could be contributing to the under-appreciation of airway T2 inflammatory processes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".