Association of Atopic Dermatitis with Bacterial, Fungal, Viral, and Sexually Transmitted Skin Infections
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Atopic dermatitis (AD) is associated with altered skin barrier, microbiome, and immune dysregulation that may increase risk of skin infections. OBJECTIVE: The aim of the study was to determine whether AD is associated with skin infections and related outcomes. METHODS: Data from the 2006 to 2012 National Emergency Department Sample were analyzed, including an approximately 20% sample of all US emergency department (ED) visits (N = 198,102,435 adults or children). RESULTS: Skin infections were increased in ED visits of adults (7.14% vs 3.76%) and children (5.15% vs 2.48%) with AD. In multivariable logistic regression models, AD was associated with significantly higher odds of skin infection in adults (adjusted odds ratio [95% confidence interval] = 1.93 [1.89-1.97]) and children (2.23 [2.16-2.31]). Pediatric and adult AD were associated with significantly higher odds of carbuncle/furuncles, impetigo, cellulitis, erysipelas, methicillin-resistant and methicillin-sensitive Staphylococcus aureus infections, molluscum contagiosum, cutaneous warts, herpes simplex and zoster viruses, eczema herpeticum, dermatophytosis, and candidiasis of skin/nails and vulva/urogenitals. Adults with AD had significantly higher odds of genital warts (1.51 [1.36-1.52]) and herpes (1.23 [1.11-1.35]). Skin infections were associated with US $19 million excess annual costs of ED care in persons with AD. CONCLUSIONS: Atopic dermatitis patients had higher odds of multiple bacterial, viral, fungal, and sexually transmitted skin infections.
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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 it