Spontaneous Spinal Epidural Hematoma During Pregnancy
Bibliographic record
Abstract
BACKGROUND: Spontaneous spinal epidural hematoma is a rare phenomenon that has no distinct etiology. Spontaneous spinal epidural hematoma (SSEH) during pregnancy is extremely rare. We present what we believe to be the fifth reported case of spontaneous spinal epidural hematoma associated with pregnancy in the English literature. METHODS: A 31-year-old female presented with acute onset of paraplegia at 32 weeks of pregnancy. The patient had a T2 sensory level and complete paralysis of all lower extremity motor groups. Magnetic resonance imaging of the thoracic spine showed an acute epidural hematoma posterior to the thoracic spinal cord between the second and fourth thoracic vertebrae. RESULTS: The patient was taken to the operating room were her child was delivered by caesarean section. She then underwent a posterior laminectomy and evacuation of a spinal epidural hematoma. Follow-up selective spinal angiography was negative for any vascular malformation. The patient gradually recovered lower extremity function and was independently ambulating at six month follow-up. Voluntary bowel and bladder function returned within four months but twice daily intermittent catheterization remained necessary for excessive post-void residual urine. CONCLUSIONS: Spontaneous spinal epidural hematoma in pregnancy is a rare phenomenon. It is postulated that elevated venous pressure associated with pregnancy may be a contributing factor. In the reported cases of SSEH in pregnancy most patients presented with acute symptoms, thoracic location and profound neurological deficits but, with prompt surgical treatment, generally had good long term recovery.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.001 |
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".