Microbiology Risk Factors and Outcomes of Peritonitis in Tunisian Peritoneal Dialysis Patients
Bibliographic record
Abstract
Background: Peritonitis is a major complication of peritoneal dialysis (PD), accounting for considerable mortality and hospitalization among PD patients. We have performed a single unit study examining rate of peritonitis, causative organisms, clinical outcomes and impact on technique failure and patient survival. Methods: It was a retrospective review of the medical records of 182 PD patients who were followed up from January 2006 through June 2016. We have listed 186 episodes of peritonitis. Results: The overall incidence of peritonitis during the 10-year study period was one episode every 27.25 month-patient. The mean time to first peritonitis after beginning PD was 14.25 ± 16 months (0 - 65). Gram-positive organisms were the main implicated agents and caused 27.92% of peritonitis. In multivariate Cox regression, no correlation was associated with diabetes, cardiovascular disease and residual renal function at baseline. In the Kaplan-Meier analysis, the peritonitis group was not correlated with more loss of residual renal function. More dropouts from PD were observed compared to the peritonitis-free group (P < 0.000), but no influence with patient survival. Conclusion: Gram-positive organisms were the main causative agents. And peritonitis was associated to technique failure but not with patient survival.Z World J Nephrol Urol. 2018;7(2):45-52 doi: https://doi.org/10.14740/wjnu349w
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".