Cow’s milk specific IgE and IgA as a predictor of outcome in oral immunotherapy (VAC9P.1067)
Bibliographic record
Abstract
Abstract Cow’s milk allergy (CMA) is defined as an immunologic adverse reaction to cow’s milk proteins. It affects 2-3% of infants, and 85% of CMA resolve spontaneously within the first 5 years of life. Those with persistent CMA have a lifelong threat of anaphylaxis. 20 patients were recruited for a trail of CM oral immunotherapy. Blood samples were collected at baseline and at multiple timepoints during a trial. Specific IgE, IgA to casein, b-lactoglobulin (BLG) and alpha-lactalbumin (ALA) were measured by Enzyme-Linked Immunosorbent Assay(ELISA). CM-specific IgE responses decreased by 5 to 10 times baseline. Importantly, in one patient there was no detectable sIgE after 6 months post OIT. As the role of specific IgA is poorly understood we measured specific IgA to the three CMA components in a subset of subjects. sIgA was increased significantly over time in 4 of 6 patients, unaltered in 1 patient, and was variable in one patient. At the end of oral immunotherapy, sIgA returned towards baseline. In summary, as patients underwent oral immunotherapy to milk, sIgA increased in parallel to the decrease in IgE in most subjects tested. CM specific IgA may help predict responses to oral immunotherapy for milk.
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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) | 0.000 | 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 | 0.001 | 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".