Assessment of Comorbidities Associated With Allergic Contact Dermatitis in the United States: A Retrospective Claims-Based Study
Bibliographic record
Abstract
BACKGROUND: Allergic contact dermatitis (ACD) is a common dermatologic disease. Patch testing remains the criterion standard for diagnosis. In clinical practice, avoidance may be limited by patient occupation or noncompliance, the pervasive nature of the culprit agent, or barriers to expert care because of socioeconomic, cultural, or geographic factors. Thus, ACD is frequently chronic and/or recurrent; however, the comorbidities associated with ACD are not well characterized. OBJECTIVE: The aim of the study is to identify associations between ACD and psychiatric, sleep health, cardiovascular, and infectious conditions. METHODS: In this study, we used a large US claims database to identify comorbidities associated with ACD diagnosed after patch testing, including psychiatric, sleep health, cardiovascular, and infectious conditions. We also stratified these associations by chronicity of disease. RESULTS: We identified associations between ACD and psychiatric, sleep-related, cardiovascular, and infectious comorbidities. We also found that more chronic ACD was associated with more infectious comorbidities. All of these associations remained significant on further subanalysis when patients with AD and venous stasis were excluded. CONCLUSIONS: Allergic contact dermatitis is associated with multiple comorbidities. Further study is required to corroborate these findings, determine causality, and to explore the impact of possible interventions in the workup and management of this common and often debilitating disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".