Epileptic spasms: Experience with a high‐dose oral corticosteroid protocol
Bibliographic record
Abstract
AIM: To audit clinical practice and assess early outcomes for infants with epileptic spasms after an agreed initial treatment protocol was adopted. METHODS: We reviewed all cases of epileptic spasms diagnosed between July 2007 and June 2009 and assessed adherence to protocol, remission by day 14, spasm recurrence and side effects. The protocol required that infants be treated with high-dose oral prednisolone except those with tuberous sclerosis complex (TSC) who were treated with vigabatrin. RESULTS: Twenty-eight infants (age 3-14 months, 17 male) were newly diagnosed. Six (21%) had no cause identified (cryptogenic), six (21%) had TSC and 16 (57%) had other non-TSC symptomatic aetiologies. Twenty-three were treated per protocol and five were not. The proportion with remission by day 14 of treatment was 100% in the cryptogenic group (all treated per protocol), 64% in those with non-TSC symptomatic aetiologies treated per protocol, 20% in those with non-TSC symptomatic aetiologies treated not per protocol and 17% in infants with TSC (all treated per protocol). Of 17 infants who received prednisolone, two were admitted for management of febrile illness. CONCLUSION: Our experience with high-dose oral prednisolone for treatment of epileptic spasms suggests that it is effective and tolerable. The greater proportion of non-TSC symptomatic patients with timely cessation of spasms when treated by this protocol supports the use of high-dose oral prednisolone as the treatment of choice. Given the poor response of children with TSC to treatment with vigabatrin, early use of steroid therapy deserves consideration.
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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 | 0.011 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".