Febrile Infection-Related Epilepsy Syndrome
Bibliographic record
Abstract
Abstract Febrile infection-related epilepsy syndrome (FIRES) is a subset or variant of new-onset refractory status epilepticus in children. FIRES is characterized by the occurrence of a febrile episode between 24 hours and 2 weeks before the onset of refractory status epilepticus. A infectious cause is rarely identified in FIRES and an inflammatory or autoimmune etiology is implied. Seizures in FIRES are very difficult to control, and treatments include antiepileptic drugs, ketogenic diet, intravenous immunoglobulin, plasmapheresis, and corticosteroid therapy. The prognosis for patients with FIRES is poor, and most children are left with refractory epilepsy and cognitive impairment. The new consensus guidelines on the terminology of FIRES and recent interest in new treatment approaches have been welcome developments for clinicians who face the challenge of diagnosing and managing status epilepticus in a previously healthy child that occurs following a minor febrile episode. This review aims to provide clinicians with an update on the current hypotheses for the etiology, pathogenesis, clinical evaluation, management, and future directions in the diagnosis and treatment of FIRES.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.004 | 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".