Experience with ustekinumab for the treatment of moderate to severe Hidradenitis suppurativa
Bibliographic record
Abstract
BACKGROUND: Hidradenitis suppurativa (HS) is a severe chronic inflammatory follicular disease characterized by nodules and abscesses affecting apocrine gland-bearing regions. HS is not well-controlled with conventional medical therapies such as topical therapy, oral antibiotics and retinoids, however, abrogation of tumour necrosis factor-α (TNF-α) function has proven effective in some patients. OBJECTIVE: To assess the safety and efficacy of the interleukin-12/23 inhibitor, ustekinumab for treatment of HS in three patients with moderate-severe disease. METHODS: The subjects received 3-45 mg subcutaneous injections of ustekinumab at 0, 1 and 4 months. Improvement was assessed by the dermatology life quality index (DLQI), visual analogue scale of pain (VAS) and physician's global assessment (PGA) at each monthly visit. RESULTS: Prior to treatment, subjects had moderate-severe HS (Hurley stage II-III) with a DLQI score between 8 and 12. At 6 months, one patient showed complete disease remission, while a 25-49% improvement was seen in a second patient and no change in a third. A moderate but statistically significant relationship was observed between VAS and DLQI scores (r=0.75; P<0.01). CONCLUSION: Ustekinumab may provide a safe and effective new treatment strategy for HS in some patients. Interleukin 12/23 inhibition is a potential therapeutic option for patients in which other therapies prove ineffective.
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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".