Atopic Dermatitis as a Risk Factor for Herpes Zoster Infection Independent of Treatment: A Nationwide Population-Based Cohort Study
Bibliographic record
Abstract
Background: In the wake of the emerging development of biologics in atopic dermatitis (AD), herpes zoster (HZ) infection has been reported as a treatment-related adverse event. Objectives: This study aims at investigating the association between AD and HZ, and the risk factors within. Methods: 28,677 participants with AD from the Taiwan National Health Insurance Research Database 2000–2015 were enrolled. Risk of HZ infection was compared in the study cohort (with AD) and the control cohort (without AD). Further analyses were conducted in gender-, age-, and treatment strategy-stratified subgroups. Results: Significantly higher adjusted hazard ratios (aHRs) of HZ infection were revealed in AD patients (aHR = 2.303, P < 0.001), and remained this trend in gender- and age-stratified models. All AD groups, irrespective of the treatment type, had higher aHRs (AD without systemic treatment: aHR = 2.356, P < 0.001; AD with systemic treatment: aHR = 2.182, P < 0.001) compared with those without AD. However, no differences in HZ risk were shown between each treatment type. Conclusions: Risk of HZ infection in AD is higher irrespective of treatment type. Considering that AD per se increases susceptibility to HZ infection, the administration of biologics requires careful considerations.
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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".