P.031 A Rare Canadian Case of Cervical Pyomyosistis Presenting as Occipital Neuralgia
Bibliographic record
Abstract
Background: Pyomyositis is an infectious disease usually encountered in tropical regions. It typically occurs in immunocompromised hosts and most commonly affects lower limb muscles. Our patient was a healthy Canadian with an atypical presentation of cervical pyomyositis. Methods: We report a case of a healthy 22-year old woman presenting to the emergency department with unprovoked severe bilateral cervico-occipital pain and nuchal rigidity. She remained afebrile. Review of the literature was conducted to search for similar presentations. Results: A Computed Tomography scan of the head and neck demonstrated the presence of a ring enhancing lesion in the semispinalis capitis muscle extending from the occiput to the C4 level. The abscess was surgically drained and cultures grew staphylococcus aureus. The patient rapidly improved on intravenous antibiotics. Literature review revealed this to be the first Canadian case of cervical pyomyositis. Conclusions: Cervical pyomyositis can be complicated by local destruction of the vertebrae, septic shock, endocarditis, septic emboli, brain abscess or rhabdomyolysis. Early diagnosis and source control is necessary to reduce the risk of morbidity. Therefore, it is important to consider this rare disease in the differential diagnosis of cervicalgia even in healthy immunocompetent patients.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".