Masks trigger facial seborrheic dermatitis and psoriasis: evidence from a multicenter, case-control study during COVID-19 pandemic
Bibliographic record
Abstract
BACKGROUND: Wearing masks is an optimal preventive strategy during COVID-19 pandemic, but it may increase facial sebum production. However, few case reports have described seborrheic dermatitis (SeBD) and psoriasis (PsO) flares due to masks. Hence, we conducted a multicenter study to clarify the possibility of increased SeBD and PsO flares in association with mask wearing during the COVID-19 pandemic. METHODS: This multicenter study enrolled patients with a diagnosis of facial SeBD and PsO. All dermatological consultations were conducted in teledermatology at baseline (T0) and after 1 month (T1) Of >6 hours/day wearing mask. PsO patients were assessed using PsO Area and Severity Index (PASI) and self-administered PASI (SAPASI), whilst SeBD patients with symptom scale of seborrheic dermatitis' (SSSD) and seborrheic dermatitis area and severity index (SEDASI). RESULTS: A total of 33 (20 males, 13 females, average age 43.61±9.86) patients with PsO and 33 (20 males, 13 females, average age 44.00±8.58) with SeBD were enrolled. After 1 month, PsO patients displayed higher values of both PASI and SAPASI (P<0.0001), while SeBD patients experienced a flare, as testified by the increment of both SSSD and SEDASI (P<0.0001). Mask type did not seem to influence the flare severity. CONCLUSIONS: Masks remain an optimal preventive strategy during COVID-19 pandemic, but patients with PsO and SeBD may experience facial flares. Thus, therapeutic approach should be more aggressive in these groups of patients to counteract the triggering effect of masks.
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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) | 0.001 | 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".