A Case of Severe Eosinophilia in a Preterm Infant
Bibliographic record
Abstract
Eosinophilia of prematurity is commonly seen in premature infants as a result of many causes, although a sustained or progressive form is uncommon. Different pathophysiological hypotheses include decreased circulating adrenal steroids and foreign antigen exposure. We present here a case of prolonged extreme eosinophilia in a preterm infant complicated by thrombocytopenia. The patient's eosinophil count reached 91.48 × 10(9)/L and remitted with nonspecific treatment. A comprehensive clinical, laboratory, and radiologic assessment is usually required in the context of a hypereosinophilic preterm infant to recognize the triggering etiology. Nonspecific treatment was the modality of choice because of unclear etiology in our case. Preterm infants with blood eosinophilia might not need immunomodulatory treatment despite extremely high absolute eosinophil counts.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".