Early diagnosis of monomicrobial <i>Clostridioides difficile</i> bacteremia in a patient without colitis
Bibliographic record
Abstract
Bacteremia is a rare finding among Clostridioides difficile infections. We describe a case of a 67-year-old man with resected colorectal cancer with colostomy who presented with small bowel obstruction and was admitted for lysis of adhesions. On day 8 of admission, he developed leukocytosis and raised inflammatory markers with isolation of Gram-positive bacilli in several blood cultures, which was presumptively identified through blood culture pelleting and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) as C. difficile. The diagnosis was confirmed with conventional culture and reference lab identification and the patient demonstrated clinical response with parenteral then oral vancomycin that briefly worsened when therapy was switched to parenteral metronidazole and then improved once oral vancomycin was resumed. Our case was notable in that the combination of pelleting and MALDI-TOF offered early diagnosis in this patient whose positive blood cultures were suspicious for contamination and in whom there was an absence of diarrheal illness or features of colitis on abdominal imaging. Early diagnosis is critical for the timely initiation of therapy, implementation of infection prevention and control measures and in selection of appropriate therapy for antimicrobial stewardship.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".