Hidradenitis Suppurativa in 64 Female Patients: Retrospective Study Comparing Oral Antibiotics and Antiandrogen Therapy
Bibliographic record
Abstract
BACKGROUND: Hidradenitis suppurativa (HS) is a recurrent disease confined to apocrine gland-bearing areas causing painful, deep-seated lesions and draining sinus tracts. Uniformly effective therapy is lacking. Improvements in current medical management strategies are needed. OBJECTIVE: We sought to determine the success rate for a variety of treatments in our female HS patients and whether androgen-related tests can predict a response to antiandrogen therapy. As HS has been linked to a hyperandrogen state, we sought to determine if it is also associated with polycystic ovary syndrome (PCOS). METHODS: A retrospective chart review was performed examining hormonal profiles and the response to a variety of treatments in female patients with HS. RESULTS: Sixty-four female HS patients were identified (mean age 33 years). Antiandrogen therapy was superior to oral antibiotic therapy (55% vs 26%) based on a two-sample, two-sided, t-test statistic (p < .04). The prevalence of PCOS among our study patients in whom androgen markers were available was 8 of 21 (38.1%), and even if taken over all study patients, not necessarily investigated for PCOS, the prevalence was 8 of 64 (12.5%). This reflects a greater than expected prevalence among all women (10%). CONCLUSION: As a proof-of-concept study, despite limitations inherent in a retrospective chart review, there is sufficient signal to suggest that a hormonal manipulation approach to therapy should be considered in all women presenting with HS. Female patients presenting with HS should prompt investigations for underlying PCOS and insulin resistance.
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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 | 0.001 | 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".