Infantile Spasms as an Adverse Outcome of Neonatal Cortical Sinovenous Thrombosis
Bibliographic record
Abstract
Cerebral sinovenous thrombosis is a rare but potentially serious condition often occurring in children with nonspecific presenting features. Much remains to be learned about the long-term outcome of infants with cerebral sinovenous thrombosis. We report a series of four patients taken from a prospective database of neonates with sinovenous thrombosis who subsequently developed infantile spasms, three with hypsarrythmia on electroencephalography and one with multiple independent spike foci. The first patient presented at 2 weeks of age with hypernatremia, dehydration, and seizures. He was found to have extensive thrombosis and hemorrhagic infarction of the right basal ganglia. The second patient presented at 5 weeks of life and was found to have sagittal sinus thrombosis with bilateral intracranial hemorrhage. The third patient presented with seizures on day 1 of life and was found to have venous thrombosis involving the torcular, extending into the sagittal sinus. The fourth patient presented at 3 weeks with lethargy and seizures. He was diagnosed with bacterial meningitis and also had extensive sinus thrombosis. All patients developed infantile spasms at ages 9, 7, 11, and 10 months, respectively. This is the first report in the English literature describing infantile spasms as a possible outcome of sinovenous thrombosis in early infancy.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".