Vascular Events Associated with Alpha Interferon Therapy
Bibliographic record
Abstract
Alpha Interferon (IFN) is a biological agent used for the therapy of an increasing number of diseases, either as an established effective therapeutic tool or in the context of clinical trials. The use of IFN may be complicated by serious adverse reactions. We describe here the clinical course of a variety of vasculopathic complications in association with IFN-therapy in 12 patients with the diagnosis of chronic myeloid leukemia and 1 patient with malignant melanoma treated at our institute. Vascular manifestations in these patients include Raynaud's phenomena, digital ulcerations and gangrene, pulmonary vasculitis, pulmonary hypertension and thrombotic thrombocytopenic purpura/hemolytic uremic syndrome (TTP/HUS). These reactions occurred after 3 months to 3 years of 3-10 million units (MU) daily IFN therapy. Concomitant administration of hydroxyurea (HU) was noted in 5 patients. Discontinuation of IFN and initiation of immunosuppressive therapy brought about a complete resolution or arrested progression of these reactions. IFN-therapy may be complicated by severe vasculopathic/vasospastic complications that usually improve after its discontinuation. Possible underlying mechanisms for these complications are discussed. The early diagnosis of these complications may be vital and IFN should be immediately discontinued when early signs of these complications become evident.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".