Retrospective investigation of automated hematology analyzer–determined indicators of neutrophil activation in blood samples from horses with asthma
Bibliographic record
Abstract
OBJECTIVE: To investigate indicators of neutrophil activation in the blood of healthy and asthma-affected horses and assess associations between corticosteroid treatment and these variables. ANIMALS: 48 horses (14 with severe equine asthma [SEA], 21 with mild to moderate equine asthma [MEA], and 13 healthy controls). PROCEDURES: In a 3-part retrospective study, hematology analyzer data for horses included in previous studies were reviewed. Neutrophil size, neutrophil light absorbance (NLA), and myeloperoxidase (MPO) index were recorded. Data for each variable were compared among groups for the entire study sample (part 1). Changes in each variable were assessed for one subset of horses (5 SEA-affected and 6 controls) after treatment for 2 weeks with dexamethasone (0.06 mg/kg, PO, q 24 h; part 2) and for another subset (8 SEA-affected horses) after the same treatment and after a 1-week posttreatment washout period (part 3). RESULTS: All 3 variables were significantly greater for the SEA group, compared with the MEA and control groups in part 1. Following dexamethasone treatment, the control- and SEA-group NLA and MPO index significantly decreased and SEA-group neutrophil size significantly decreased in part 2; immediate posttreatment results for SEA-affected horses were similar in part 3, with significantly increased neutrophil size and nonsignificant increases in NLA and MPO index following washout. CONCLUSIONS AND CLINICAL RELEVANCE: Results suggested horses with exacerbated SEA have larger neutrophils that contain more MPO, compared with neutrophils of MEA-affected and healthy control horses. The clinical value of these variables for the diagnosis of equine asthma was deemed limited owing to data overlap among groups.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".