Abstract 17: Environmental Epidemiology of Kawasaki Disease
Bibliographic record
Abstract
Background: The etiology of Kawasaki disease (KD) is commonly described as an exaggerated immune response to an environmental or infectious trigger in developmentally, immunologically and genetically susceptible children. The trigger for KD has not yet been identified. Methods: Patients with newly diagnosed KD (n=73) were enrolled within 6 weeks of KD diagnosis. Control subjects (n=65) were enrolled during pediatric annual visits and from friends of enrolled KD patients. All participants completed an extensive questionnaire about medical history, family and environment. Geographic localisation software characterized the participants’ neighborhoods. A hypothetical scenario was used for control patients to simulate similar recall bias to that of the KD patients. Results: There were no differences in age, gender, allergies, child and family medical history or recent vaccination. Children with KD were more likely to be unwell prior to KD symptom onset than controls, including fever, stomach pain, lethargy, jaundice, loss of appetite and irritability, but not infectious disease symptoms (16% vs. 21%, p=0.49). Infectious symptomatology developed concurrently to classic KD symptoms. Children with KD had less exposure to environmental allergens and were more likely to be exposed to chemical irritants. Conclusions: The presence of symptoms for up to 1 month before onset of KD may suggest that a preceding illness/environmental agents may alter barriers to entry/exposure or prime an immunologic reaction to an etiologic trigger. Children with fewer allergen/infectious exposures and chronic chemical exposure may be immunologically more susceptible.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".