First case of bloodstream infection caused by Cupriavidus metallidurans in Japan
Bibliographic record
Abstract
We report the first case in Japan of a bloodstream infection caused by Cupriavidus metallidurans . The patient was a 77 years old man hospitalized for treatment of heart failure and diabetes. On day 83 of hospitalization, he developed a fever of 38.0°C, followed three days later by an elevation in C-reactive protein. His condition improved with the administration of cefmetazole, cefepime, and levofloxacin, and antibiotic therapy was discontinued on day 17. Blood cultures collected at the onset of fever revealed growth in the aerobic bottle after 21 h, and Gram staining revealed slightly slender Gram-negative rods. Based on colony morphology, Burkholderia or Ralstonia was initially suspected. However, identification kit ID Test NF-18 yielded multiple possible organisms, and a definitive identification could not be made. The isolate was ultimately identified as C. metallidurans by phylogenetic analysis of the 16S rRNA gene. Because this species is not included in general bacterial identification kits and cannot be reliably distinguished based biochemical characteristics alone, 16S rRNA gene sequencing was essential for diagnosis. To date, only five cases of bloodstream infection caused by this species have been reported, in Canada and Italy, and this is the first reported case in Japan. As this bacterium is present in the Japanese environment, reports of its detection may increase in the future, particularly among elderly or immunocompromised 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".