Sinister seafood: bacteraemia secondary to non-O1/O139 Vibrio cholerae infection
Bibliographic record
Abstract
Introduction. Vibrio species are curved, motile Gram-negative bacilli found in estuarine and marine environments, and are known to cause to gastroenteritis, skin and soft tissue infections, and septicaemia. While not responsible for cholera epidemics, non-O1/O139 Vibrio cholerae (NOVC) is increasingly reported as a cause of gastroenteritis. Case presentation. A 66-year-old man presented to an emergency department with a 1 week history of epigastric pain, emesis and fever. Blood cultures drawn on admission initially demonstrated Gram-negative bacilli, and ultimately grew NOVC, which was later confirmed by matrix-assisted laser desorption ionization-time of flight MS. Subsequent history revealed that the patient had eaten fish and seafood prior to falling ill. He was treated with intravenous ceftriaxone and oral doxycycline while admitted, and oral ciprofloxacin and doxycycline upon discharge. His bacteraemia was believed to be secondary to altered gut anatomy from prior surgery and proton-pump inhibitor use. Conclusion. Risk factors for NOVC bacteraemia include cirrhosis, immunosuppression and other forms of liver disease. Cases are often linked to a history of seafood ingestion when water temperatures rise, enabling Vibrio species to proliferate. While the optimal management of NOVC bacteraemia is unclear, a combination of a third-generation cephalosporin with a tetracycline has been suggested. Physicians should maintain a high index of suspicion for this pathogen when evaluating ill patients with a history of liver disease and seafood ingestion.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.006 | 0.002 |
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".