Predictors of Hospitalization, Length of Stay, and Costs of Care Among Adult and Pediatric Inpatients With Atopic Dermatitis in the United States
Bibliographic record
Abstract
INTRODUCTION: Little is known about the risk factors of hospitalization for atopic dermatitis (AD). OBJECTIVES: We sought to determine associations of hospitalization for AD in the United States. METHODS: Data were analyzed from the 2002 to 2012 National Inpatient Sample. Atopic dermatitis hospitalizations were compared with controls, which included all hospitalizations without any diagnosis of AD excluding normal pregnancy/delivery, yielding a representative cohort of US hospitalizations. RESULTS: Both adults and children, who were admitted for AD or eczema, were more likely to have nonwhite race/ethnicity, lowest-quartile annual household income, Medicaid or no insurance, and fewer chronic conditions. Increased cost of care and prolonged length of stay were also associated with nonwhite race/ethnicities, lowest-quartile annual household income, Medicaid or no insurance, and having a higher number of chronic conditions. CONCLUSIONS: There are significant racial/ethnic and socioeconomic differences between patients hospitalized with AD versus without it, suggesting that there may be racial/ethnic and/or health care disparities in AD.
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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".