Adalimumab Dose Intensification in Recalcitrant Hidradenitis Suppurativa/Acne Inversa
Bibliographic record
Abstract
BACKGROUND: Adalimumab is the only approved compound for the treatment of adult patients with moderate-to-severe hidradenitis suppurativa (HS) who did not respond to a systemic classical treatment. Despite its significant short- and long-term efficacy, a percentage of patients do not respond sufficiently. Moreover, some primary responders experience a response loss with time. OBJECTIVE: To analyse the effectiveness of adalimumab dose intensification in HS patients. METHODS: A case series of adalimumab 80 mg/week subcutaneously (s.c.) compassionate use in patients with HS, who did not respond sufficiently or in primary responders with progressive response loss to the registered adalimumab dose of 40 mg/week s.c. Patients were collected and evaluated retrospectively. Patients' data were extracted from medical records. RESULTS: The 14 patients collected were Caucasian with HS of Hurley stage II-III and moderate or severe International HS Severity Score System (IHS4) stage. Adalimumab dose intensification significantly improved IHS4 score, Pain Index, HS-Physician Global Assessment, pain, and Cardiff Dermatology Life Quality Index. Two young female patients with HS and Crohn's disease developed psoriatic lesions during the treatment with adalimumab 80 mg/week s.c. CONCLUSION: An enhanced level of effectiveness was assessed in the majority of the HS patients treated with adalimumab dose intensification (80 mg/week s.c.). Larger studies are required to evaluate this observation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".