Association of Childhood Atopic Dermatitis with Atopic and Nonatopic Multimorbidity
Bibliographic record
Abstract
BACKGROUND: Little is known about the impact of multimorbidity in childhood atopic dermatitis (AD). OBJECTIVE: We sought to determine the likelihood and predictors of chronic disease multimorbidity in childhood AD. METHODS: Data were examined for children (<18 years) in the 1996-2015 Medical Expenditure Panel Survey, an annual, representative sample of United States households. Multimorbidity was assessed using Charlson Comorbidity Index (CCI), Healthcare Utilization Project Chronic Comorbidity Indicator (HCUP-CCI) and frequency of atopic comorbidities. RESULTS: Young children with mild-moderate and severe AD, and adolescents with mild-moderate AD had higher CCI scores. Similarly, young children and adolescents with mild-moderate and severe AD had increased HCUP-CCI scores. Children with AD and atopic disease had higher CCI and HCUP-CCI scores than children with either alone. Young children and adolescents with mild-moderate and severe AD had more atopic comorbidities. CONCLUSIONS: Pediatric AD is associated with increased atopic and non-atopic multimorbidity. Comorbid atopic disease may identify a subset of children with AD who particularly benefit from enhanced screening and management of multimorbidity.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".