Delayed neurological improvement in a patient with Duret hemorrhage secondary to an acute subdural hematoma: illustrative case
Bibliographic record
Abstract
BACKGROUND: Duret hemorrhage is a rare phenomenon wherein rapid transtentorial herniation results in brainstem injury and hemorrhage. It is usually regarded as a poor prognostic factor representing irreversible and often catastrophic brain injury. The authors report an unusual case of Duret hemorrhage with spontaneous delayed neurological recovery postoperatively after surgical treatment of an acute subdural hematoma (SDH). OBSERVATIONS: The authors present the case of a 65-year-old male who initially presented to the hospital with a large acute left-sided SDH causing 1.3 cm of midline shift. He was taken urgently for a craniotomy, with no significant intraoperative swelling or visible contusions. Postoperative imaging revealed an unexpected pontine hyperdensity concerning for a Duret hemorrhage. He initially had no neurological improvement; however, at 3 weeks postoperatively, he gradually recovered and was able to follow commands and was extubated. At 10 weeks after surgery, his Glasgow Coma Scale score improved to 15, with mild residual left hemiparesis. LESSONS: This case challenges a classic dogma that Duret hemorrhage carries a universally poor outcome. In select cases, patients can make meaningful recoveries in a delayed fashion. The lack of intraoperative contusions and swelling may have contributed to this patient's 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| 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".