National trends in emergency department visits and hospitalizations for food‐induced anaphylaxis in <scp>US</scp> children
Bibliographic record
Abstract
BACKGROUND: Food is the leading cause of anaphylaxis in children seen in emergency departments in the United States, yet data on emergency department visits and hospitalizations related to food-induced anaphylaxis are limited. The objective of our study was to examine national time trends of pediatric food-induced anaphylaxis-related emergency department visits and hospitalizations. METHODS: We conducted an observational study using a national administrative claims database from 2005 through 2014. Participants were younger than 18 years with an emergency department visit or hospitalization for food-induced anaphylaxis. Outcome measures of our study included time trends of pediatric food-induced anaphylaxis-related emergency department visits and hospitalizations, including observations (in an emergency department or a hospital unit), inpatient admissions, and intensive care unit admissions. RESULTS: During the study period, participants had 7310 food-induced anaphylaxis-related emergency department visits. Emergency department visits for food-induced anaphylaxis increased by 214% (P < .001); the highest rates were in infants and toddlers (age 0-2 years). Rates of emergency department visits significantly increased in all age-groups, with the highest increase in adolescents (age 13-17 years: 413%; P < .001). Peanuts accounted for the highest rates (5.85 per 100 000 in 2014) followed by tree nuts/seeds (4.62 per 100 000 in 2014). The greatest increase in rates of emergency department visits for food-induced anaphylaxis occurred with tree nuts/seeds (373.0% increase during the study period). CONCLUSIONS: The incidence of food-induced anaphylaxis has significantly increased over time in children of all ages. Food-induced anaphylaxis in children is an important national public health concern.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".