WATERSHED INFARCTION DUE TO ACUTE HYPEREOSINOPHILIA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hypereosinophilia typically results from a parasitic, neoplastic, vasculitic, or allergic cause. However, when elevated blood eosinophil levels (≥1500/μL) persist beyond 6 months and show evidence of organ involvement (other than skin) without identifiable cause, the criteria for idiopathic hypereosinophilia are met. Idiopathic hypereosinophilia can affect multiple organ systems. Up to 65% of patients have neurologic manifestations, including peripheral neuropathy, encephalopathy, or thromboembolic infarction.1 Previously reported thromboembolic events have involved large, intracranial vessels2 and were attributed to the hyperviscous, hypercoaguable state, often accompanied by cardiac dysfunction. We report a patient with acute, severe hypereosinophilia complicated by extensive watershed infarction. Possible mechanistic causes include (1) local thrombus formation from a hyperviscous state or (2) distant microthromboemboli. ### Case report. A 16-year-old, previously healthy male was hospitalized after 2 weeks of cough and 4 days of fever. The initial examination revealed decreased air entry bilaterally. Blood work noted leukocytosis 77.4 × 109/L, with eosinophils 55.3 × 109/L, neutrophils 6.6 × 109/L, and no blasts. Hemoglobin was 115 g/L, and platelets were 154,000 × 109/L. His electrolytes, calcium, phosphorus, uric acid, and renal and liver function tests were normal. Neck and chest CT revealed lymph nodes (≤1.5 cm) and patchy “ground-glass” areas in the …
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.
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) | 0.000 | 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) | 0.000 | 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 it