A Case of Pediatric Subcutaneous Abscess Caused by <i>Mycobacterium mageritense</i> Infection
Bibliographic record
Abstract
Soft tissue infections with Mycobacterium mageritense are uncommon. We report the case of a 5-year-old girl who developed a subcutaneous abscess in her right ankle caused by M. mageritense. She had a history of acute encephalopathy and adrenal insufficiency and was hospitalized for acute pancreatitis. During hospitalization, the patient developed fever and tachycardia. Blood culture was positive for gram-positive bacilli. Although initial testing with matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) reported a different organism, a repeat test identified M. mageritense. One month after the positive blood culture, she developed redness and swelling in the right ankle. The pus from the subcutaneous abscess after drainage grew M. mageritense, which was further confirmed by the sequencing of housekeeping genes. Based on sensitivity testing, the patient was treated with tosufloxacin and linezolid. The local inflammatory signs gradually improved on starting the treatment. The antibiotics were administered for 6 months, and she experienced no relapse during the 8 months of follow-up after the completion of therapy. This is the first case report of a pediatric M. mageritense infection, which also highlights an important potential pitfall of MALDI-TOF MS. Further, we observe that the choice of antimicrobials for the treatment of M. mageritense is more limited in children than in adults.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".