Case Report of a 21-Year-Old Man With Epidermolysis Bullosa Acquisita
Bibliographic record
Abstract
Epidermolysis bullosa acquisita (EBA) is a rare acquired type of mechanobullous disease affecting the dermal-epidermal junction (DEJ) of trauma prone acral surfaces. It manifests as tense vesicles, bullae, and milia and typically heals as atrophic hypo- or hyperpigmented scars. Classic noninflammatory mechanobullous EBA typically presents at a mean age of 48 years. A 21-year-old man presented with a 2-year history of nonpainful papular-vesicular lesions on his hands, knees, and toes after minor trauma to these areas. Physical exam revealed postinflammatory hypopigmented scarring and milia to the bilateral dorsal hands and bilateral extensor elbows and knees, with tense blisters on the dorsal hand and patella regions. Direct immunofluorescence revealed strong linear IgG and IgM with weak focal positivity for IgA and C3 at the DEJ. Blood work revealed an increased diffuse gamma region of 71 g/L (6-13 g/L) on serum protein electrophoresis. Pathology showed a fibrotic underlying dermis, with subepidermal bullae and separation and no significant inflammation. The patient was started on colchicine. This case showcases an unusual early age of presentation for mechanobullous EBA and illustrates the importance of interpreting pathology in the context of clinical findings and maintaining a high index of suspicion for EBA in younger patients who present with classic findings. This case is unique as it is the first report of an association between EBA and polyclonal gammopathy and could be suggestive of chronic inflammation, which would fit with our patient's chronic history of EBA.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".