<i>Gemella morbillorum</i> as the Culprit Organism of Post-Colonoscopy Necrotizing Perineal Soft Tissue Infection in a Diabetic Patient With Crohn’s Disease
Bibliographic record
Abstract
Gemellsa morbillorum ( G. morbillorum ) is a Gram-positive facultative anaerobe and a known commensal organism of the oropharyngeal and gastrointestinal tracts. It is considered a rare cause of infections in humans. Most of the documented infections, whereas G. morbillorum has been implicated as a causative pathogen, were infective endocarditis and deep visceral abscesses. However, there are only a handful of cases in the current literature that have reported G. morbillorum as the primary organism causing necrotizing soft tissue infections. The authors presented a rare case of post-colonoscopy necrotizing perineal soft tissue infections in an elderly patient with poorly controlled diabetes mellitus and Crohn’s disease with G. morbillorum being the culprit pathogen of this necrotizing infection. The reported case raises concerns for this commensal organism as an emerging virulent pathogen in certain high-risk patients. The authors proposed that a combination of the long-standing Crohn’s disease and the recent colonoscopy with rectal polypectomy has predisposed the patient to G. morbillorum bacteremia with perineal sepsis in the setting of diabetic immunosuppression. Further studies are warranted to ascertain whether G. morbillorum is acquiring increased virulence that would have enabled this organism to cause novel soft tissue infections. J Med Cases. 2022;13(3):99-103 doi: https://doi.org/10.14740/jmc3896
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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) | 0.001 | 0.000 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".