<i>Aspergillus Niger</i>peritonitis in a peritoneal dialysis patient treated with eculizumab
Bibliographic record
Abstract
The complement system plays a vital role in preventing life-threatening infections by ensuring optimal functioning of the host immune system. Its dysregulation has been implicated in causing glomerular, hematological, and transplant-related disorders. Eculizumab a novel monoclonal antibody against complement component C5 has emerged in the recent past as the standard of care offering an effective rescue and maintenance therapy against many of these disorders. Its use has been associated with increased risk of infections predominantly with encapsulated organisms. There is no data in the literature on its effects in end-stage kidney disease (ESKD) or dialysis patients. We describe here a very rare case of Aspergillus Niger peritonitis in an ESKD patient on peritoneal dialysis (PD) receiving maintenance eculizumab therapy for atypical hemolytic uremic syndrome. Given that murine models with the same defect as that induced by eculizumab is vulnerable to invasive Aspergillosis, it is suggested that the fungal peritonitis in this patient was the result of the eculizumab therapy.
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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 | 0.001 |
| 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".