Spontaneous Cervical Epidural Hematoma Following COVID-19 Illness Presenting to a Chiropractor: A Case Report
Bibliographic record
Abstract
Cervical epidural hematoma (CEH) is a rare and potentially fatal condition in which blood accumulates in the epidural space of the cervical spine. A 64-year-old man presented to a chiropractor with a two-week history of sudden-onset neck pain, shoulder pain, occipital headache, and numbness in the shoulders and upper extremities. He had recovered from a mild course of coronavirus disease 2019 (COVID-19) illness one month prior. The patient's primary care provider had previously prescribed a nonsteroidal anti-inflammatory drug for his neck pain. However, his symptoms worsened, and he visited the emergency department where he had unremarkable cervical spine radiographs and was discharged with a diagnosis of neck strain. The chiropractor ordered cervical spine magnetic resonance imaging (MRI), revealing a ventral CEH extending from C2 to C5. The chiropractor referred the patient to a nearby hospital for urgent management. The patient was admitted and observed, progressively improved, and did not require surgery. After 10 weeks in the hospital the patient was asymptomatic, a follow-up MRI revealed resolution of the CEH, and the patient was discharged. While the current case highlights a temporal relationship between COVID-19 and CEH, further research is needed to determine if COVID-19 is a risk factor for this condition. Clinicians who encounter patients with spinal disorders must be able to recognize the clinical features of CEH and refer these patients for emergency care and/or neurosurgical evaluation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".