Surgical management of pediatric patients with encephalopathy due to electrical status epilepticus during sleep (ESES)
Bibliographic record
Abstract
ESES is a developmental epileptic disorder directly responsible for progressive encephalopathy and neurocognitive regression. The natural history, indications for surgical intervention, and predictors for favorable seizure and neuropsychological outcome remain unclear. We performed a retrospective review of children who underwent resective or disconnective surgery for ESES between January 2009 and July 2016 at a large tertiary pediatric center. Information on the patients' demographics, seizure semiology, radiographic and electrographic findings, and surgical management was collected. The primary outcome was seizure freedom at last follow-up visit, and secondary outcomes were neuropsychological improvement and electrographic ESES resolution. We identified 11 children who underwent surgery for ESES. The mean ages were 3.2 years for seizure onset, 7.1 years for formal ESES diagnosis, and 9.4 years for surgery. Seizure etiologies included cortical malformations (four patients), encephalomalacia and gliosis from prior hemorrhage or tumor resections (three patients), developmental porencephaly (one patient), and Rasmussen's encephalitis (one patient); the etiology was unknown in two children. Preoperatively, nine children had motor deficits, seven had speech and language delay, and three had visual field defects. All children had seizures and neuropsychological regression prior to surgical consideration. Focal cortical resections were performed in seven children, and hemispherectomies in four. Post-operatively, nine children experienced decreased seizure frequency, eight had neuropsychological improvement, and nine had resolution of electrographic ESES. Patients with poor surgical outcomes had more significant pre-operative comorbidities, in addition to bilateral ESES activity. In this case series, surgery for a carefully selected group of children with ESES is safe and feasible, yielding rates of seizure freedom and neuropsychological improvement that compare favorably with previous reports for antiepileptic drugs, benzodiazepines, and steroids. As we gain greater understanding into the management of ESES, surgery is an increasingly useful tool for patients with mild or moderate neurodevelopmental delay, focal epileptogenic foci, and hemi-ESES electrographic findings.
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) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".