PYRIDOXINE-RESPONSIVE EPILEPTIC ENCEPHALOPATHIES: VARIATIONS OF A THEME
Bibliographic record
Abstract
Objectives: To determine the phenotypic variations in epileptic encephalopathies of infancy and childhhod that are responsive to pyridoxine (vitamin B6) administration: both acute and maintenance. The role of the EEG in helping diagnose these disorders is elucidated. Methods: A community-based series of 1500 children with epilepsies are studied by clinical examination, neuroimaging (CT and MRI), and follow-up for at least 2 years. All had EEGs with 10–20 electrodes, polygraphic recording of EOG, EKG, respirations and chin EMG. Pyridoxine HCl 50+50mg IV during EEG monitoring was followed by 100mg po daily, with clinical and EEG followup. Responders had complete seizure control, with or without AEDs. Non-responders had no change in EEG or seizure control. Results: Of 12 cases studied, 4 (33%) were responders: neonatal seizures, infantile spasms with hypsarrhythmia (West Syndrome), early childhood epilepsy with hyperphosphatasia (presented at AES 2005)and juvenile generalised epilepsy. Non-responders (8 or 66.7%) include neonatal HIE, symptomatic West Syndrome, Ohtahara Syndrome and MISF. Conclusion: The phenotypic variations in the epileptic encephalopathies of infancy and childhood range from neonatal seizures (pyridoxine-deficient and dependent) to infantile spasms, early and late childhood seizures, even to juvenile idiopathic epilepsy. The EEG may be diagnostic in certain cases. The genotypes still require definiton.
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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 | 0.000 | 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) | 0.001 | 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".