<i>Microbacterium</i> Peritonitis in Peritoneal Dialysis: A Case Report and Review
Bibliographic record
Abstract
Peritoneal dialysis-related peritonitis (PDRP) is a commonly encountered complication in patients undergoing peritoneal dialysis (PD). Establishing the causative organism in PDRP allows for targeted antibiotic selection, helps to guide duration of therapy, and determines the need for catheter removal. Microbacterium is a genus of aerobic gram-positive bacilli found in the environment. Its detection in clinical isolates has increased owing to improved microbiology diagnostics. We present a case of PDRP due to M. paraoxydans and review the epidemiology, clinical manifestations, and available evidence for treatment of this organism. The high rate of recurrent infection and limited data regarding antimicrobial susceptibility testing pose significant challenges in the management of PDRP caused by Microbacterium species.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".