Septic Cerebral Vein Thrombosis and Abnormal Leptomeningitis as a Complication From a Periodontitis in a Hispanic Male: Case Report and Literature Review
Bibliographic record
Abstract
Sinus vein thrombosis is a rare form of stroke that results from thrombosis of the dural vein sinus. Despite the variety of diagnostic procedures and treatment, septic thrombosis of the cavernous sinus can cause significant morbidity and mortality if not diagnosed and treated as an emergency. The clinical presentation of proptosis that occurs suddenly accompanied by erythema of the eyelid and limitation of ocular movement should alert the clinician of the possibility of cavernous sinus thrombosis. A 38-year old Hispanic male presented with pounding headache, mainly in the occipital region that began 1 week prior to hospital admission. During the hospitalization the patient subsequently developed a progressive worsening of proptosis, lacrimation and neck pain. The MRI and venography of the brain showed a cerebral venous thrombosis (CVT) with a reactive diffuse leptomeningitis. The underlying cause was a chronic dental infection. The patient was treated with course of antibiotics and discharged. A few weeks later the repeated imaging studies showed a resolution of the CVT and leptomeningitis. Although rare, septic vein thrombosis (SVT) remains a potentially lethal complication of infections that involve the sinuses, face, ears and oral cavity. The early recognition and differentiation from other diseases are keys to reducing mortality rates and long-term sequelae. Advances in imaging, especially CT and MRI have contributed substantially to the rapid diagnosis of the condition. J Med Cases. 2013;4(9):598-601 doi: http://dx.doi.org/10.4021/jmc1370w
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".