Student Competition (Knowledge Generation) ID 1984525
Bibliographic record
Abstract
Background Drug-induced myelopathy has been reported widely for heroin use, but less frequently for amphetamines or fentanyl. Hyperglycemia-induced acute myelopathy has not previously been described. Methods We present a case of toxic/metabolic myelopathy secondary to the aforementioned results in a patient presenting for tertiary inpatient rehabilitation. Results A 28-year-old man with Type 1 Diabetes without complications and polysubstance use (fentanyl and crystal methamphetamine) presented to hospital with quadriparesis and anesthesia. Patient reported he fell down a flight of stairs while using substances and remained on the ground for hours-days as he was acutely paralyzed when he awoke. Initial examination demonstrated a C5 motor level. Pan-CT demonstrated no intracranial or spinous abnormalities. MRI with gadolinium showed cord edema from C1-T4 and patchy enhancement from C4-C7 without cord compression. Diffusion restriction and hemorrhagic transformation were later seen in C4-C7. Initial blood glucose was 66 with no serum ketones. Serum toxicology was negative and urine toxicology was positive for amphetamines and fentanyl. Autoimmune and infectious workups were negative. He received 5 days of pulse steroids and 7 sessions of plasmapheresis with minimal functional or neurological improvement. He was admitted to rehabilitation as a C5 AIS-B and did not exhibit further improvement in motor or sensory function over 3 months of active inpatient rehab. Conclusions Given the pattern of cord enhancement with hemorrhagic transformation, this injury most likely represents acute myelitis induced by hyperglycemia and amphetamines/fentanyl. To our knowledge, this is the first case report where hyperglycemia may have contributed to acute myelopathy.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.939 | 0.864 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".