FP836ASYMPTOMATIC CARRIAGE OF GASTRO−INTESTINAL PATHOGENS IN RENAL TRANSPLANT RECIPIENTS : EPIDEMIOLOGY AND RISK FACTORS
Bibliographic record
Abstract
Introduction and Aims: The recent contribution of molecular biology tools to microbiological diagnosis of severe diarrhea in kidney transplant recipients has identified a large number of infectious etiologies1. However, little is known about asymptomatic carriage of enteric pathogens in this immunocompromised population. The aim of this study was to assess epidemiology and risk factors of asymptomatic carriage of enteropathogens in adult kidney transplant recipients Methods: Fifty-seven asymptomatic adult kidney transplant recipients admitted in the nephrology department of the Reims university hospital (France) from March to November 2012 were included. Twenty-eight were sampled six months after resolution of severe diarrhea while 29 had no clinical history of diarrhea and were matched for age, sex and immunosuppressive therapy. Stool samples were tested with three commercially available multiplex PCR assays (xTAG GPP®, Luminex molecular diagnostics, Toronto, Canada; RIDA®GENE Norovirus I & II, RIDA®GENE EHEC/EPEC, r-biopharm, Darmstadt, Germany; CLART Enterobac®, Genomica, Madrid, Spain) allowing the detection of enteric pathogenic bacteria, parasites and viruses. Demographic profiles, clinical and biological data, and immunosuppressive therapy of all investigated patients were recorded.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".