Demographic and Clinical Characteristics Associated with Central Nervous System Hemorrhage in Patients with Eosinophilic Granulomatosis with Polyangiitis: A Case Report and Review of the Literature
Bibliographic record
Abstract
To the Editor: Eosinophilic granulomatosis with polyangiitis (EGPA) is a systemic anti-neutrophil cytoplasmic antibodies (ANCA)-associated vasculitis affecting the small- and medium-sized arteries. It is characterized by bronchial asthma often accompanied by pulmonary infiltrates, chronic sinusitis, nasal polyps, and peripheral blood eosinophilia, and occasionally followed by a multisystem vasculitic phase involving several organs. Neurological involvement occurs in 51%–86%, usually affecting the peripheral nerves. Conversely, the central nervous system (CNS) is seldom affected (< 10%). In these cases, cerebral ischemic infarction (∼80%) and diffuse encephalopathy (∼10%) have been by far the findings most frequently reported. Published data on EGPA with CNS hemorrhage are limited to anecdotal case reports1–10,11–20,21,22,23,24,25,26. We described a case of EGPA presenting with intracerebral hemorrhage (ICH) and did a comprehensive review of the literature. Ethics board approval was not required in accordance with the policy of our hospital. A 48-year-old man was admitted because of malaise, intermittent low-grade fever, and mild weight loss in … Address correspondence to Dr. J.M. Sabio, Servicio de Medicina Interna, 9th planta Hospital Universitario Virgen de las Nieves, Avda. Fuerzas Armadas No. 2, 18012 Granada, Spain. E-mail: jomasabio{at}gmail.com
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".