Control of porphyria cutanea tarda with anti-IL-17 secukinumab in a person with psoriasis living with HIV
Bibliographic record
Abstract
A 65-year-old woman successfully treated for human immunodeficiency virus (HIV) and Hepatitis C virus was diagnosed with porphyria cutanea tarda (PCT) and treated by phlebotomies. She developed extensive psoriatic skin lesions resistant to topical treatments and methotrexate. She then received the anti-interleukin-17 (IL-17) secukinumab (Cosentyx) which improved her psoriatic skin lesions. Unexpectedly, her PCT skin lesions healed, allowing phlebotomy discontinuation over 2 years. Without lesions, the patient decided to discontinue secukinumab, leading to the recurrence of psoriatic and PCT skin lesions, which were controlled upon therapeutical rechallenge. No AIDS-related manifestations or infections developed, her CD4 count remained elevated and her HIV viral load was controlled under antiretroviral therapy. Both skin conditions and consequently the patient's quality of life have improved with secukinumab, allowing exposure to sunlight and phlebotomy discontinuation for >4 years. Likely, the IL-17 pathway is involved in the clinical manifestations of PCT, opening new avenues for therapeutical interventions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".