<i>Clostridium tertium</i> Bacteremia: A Marker of an Underlying Perforated Colonic Diverticular Disease in a Non-Neutropenic Patient With COVID-19
Bibliographic record
Abstract
Clostridium tertium ( C. tertium ) is an aero-tolerant, gram-positive, endospore-forming, and non-exotoxin-producing bacillus that has colonized the gastrointestinal tract of animals and humans. It is considered a rare pathogen of humans, possibly because of its low virulence. Most C. tertium infections in the reviewed literatures were predominately reported among neutropenic hosts with hematological malignancies. A 66-year-old female patient with a past medical history of type II diabetes mellitus and chronic obstructive pulmonary disease was admitted with coronavirus disease 2019 (COVID-19) that initially required non-invasive ventilation. The patient developed septic shock due to C. tertium bacteremia. Computed tomography of the abdomen depicted free intraperitoneal gas and sigmoid colon perforation. Exploratory laparotomy revealed perforated sigmoid diverticulitis, and Hartmann’s procedure was performed. The patient received a prolonged course of susceptibility-guided antibiotics to clear C. tertium bacteremia. The authors described a rare case of C. tertium bacteremia as a marker of underlying perforated colonic diverticulitis in a non-neutropenic patient with COVID-19 that necessitated operative procedure intervention for primary source control and an extended course of targeted antibiotic therapy to treat the Clostridial infection. Our case reaffirmed the available literature that suggested the presence of C. tertium bacteremia in non-neutropenic patients raises suspicion of an associated gastrointestinal tract pathology that should warrant a diagnostic workup to identify the infection source culprit. J Med Cases. 2022;13(5):212-218 doi: https://doi.org/10.14740/jmc3916
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".