The Role of Intradermal Skin Testing and Patch Testing in the Diagnosis of Autoimmune Progesterone Dermatitis
Bibliographic record
Abstract
Autoimmune progesterone dermatitis is a rare clinical condition in which patients display hypersensitivity to endogenous progesterone. It manifests as a cyclical cutaneous eruption that flares during the luteal phase of the menstrual cycle, when progesterone levels peak, and resolves partially or completely a few days after menses. Its cutaneous manifestations are variable and include urticaria, eczematous eruptions, vesiculopustular eruptions, fixed drug eruptions, stomatitis, erythema multiforme, and anaphylaxis. Autoimmune progesterone dermatitis has been diagnosed previously with intradermal skin testing or intramuscular progesterone challenge. Treatment of progesterone hypersensitivity generally consists of ovulation inhibition with pharmaceutical agents or oophorectomy; other therapies (eg, thalidomide) have also been used with success. We report a case of cyclical erythema multiforme (EM) induced by hypersensitivity to endogenous progesterone in a patient with a history of past oral contraceptive use. After herpes simplex virus was ruled out as an etiologic factor, a diagnosis of progesterone hypersensitivity was confirmed with intradermal skin testing. Results of subsequent patch testing with various progesterone derivatives were negative. The EM outbreaks were suppressed temporarily by continuous administration of Loestrin (ethinyl estradiol plus norethindrone), which also increased the responsiveness of the outbreaks to prednisone tapers.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".