Epilepsy transition: Challenges of caring for adults with childhood‐onset seizures
Bibliographic record
Abstract
OBJECTIVES: Children with severe chronic epilepsy are living longer, and they eventually transition to the adult health care system. Additional research is required to better define the population that is being transferred and the qualifications of those who are assuming their care. We aimed to evaluate the complexity of epilepsy patients transitioning between tertiary centers, and to evaluate neurologists' confidence in dealing with childhood-onset epilepsies. METHODS: Patients aged from 18 to 25 years were divided into two groups: Group 1 comprised patients referred from the pediatric tertiary center; and Group 2 comprised patients referred from the community. Clinical data were retrospectively studied and groups were compared using appropriate statistics. We also created a survey to evaluate neurologists' levels of confidence in diagnosing and treating childhood-onset epilepsies. Differences among responders were compared. RESULTS: Group 1 comprised 170 patients, whereas group 2 had 132. Patients in group 1 had earlier seizure onset, longer epilepsy duration (p < 0.001), and more patients with symptomatic etiologies, epileptic encephalopathy, and cognitive delay (p < 0.001). Group 1 patients required more referrals to other specialties (p = 0.001). Treatment with polytherapy (p = 0.003), epilepsy surgery (p < 0.001), ketogenic diet (p < 0.001), and vagus nerve stimulator were more common in group 1 (p < 0.001). In addition, our survey applied to adult (n = 86) and pediatric (n = 29) neurologists indicated that adult neurologists have lower levels of confidence in diagnosing and treating severe forms of childhood-onset epilepsies (p < 0.001), as well as epilepsy associated with cognitive delay (p < 0.001). SIGNIFICANCE: These findings suggest that patients from tertiary centers present more complex health care needs and require more resources than age-matched patients from the community; and that adult neurologists may not feel prepared to diagnose and treat adult patients with some childhood-onset epilepsies.
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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".