[Clinical aspects and microbiology of peritoneal dyalisis-related peritonitis].
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to describe the clinical and bacteriological characteristics of patients with peritoneal dyalisis-related peritonitis. METHODS: A cross-sectional, descriptive study conducted at an Instituto Mexicano del Seguro Social hospital, in Zacapetec, Morelos, Mexico. The sample included was non-probabilistic and consecutive. All the patients with current registration, and diagnosed with peritoneal dyalisis-related peritonitis were included in the sample. RESULTS: During the study period there were 30 cases of peritoneal dyalisis-related peritonitis, most commonly associated with continuous ambulatory peritoneal dialysis patients, with a high incidence in intermittent dialysis. The main characteristics of patients with peritonitis were turbid liquid (100 %), abdominal pain (73 %) and fever (43 %). Gram staining revealed that 53 % was gram-positive, and 10 % was gram-negative. Bacterial cultures showed that 53.3 % of the obtained peritoneal cultures were positive. The most frequent bacterial specimen was Staphylococcus aureus. CONCLUSIONS: Rates of infection and percentage of negative cultures were higher than reported previously. The symptoms are in accord with the international literature. Preventive measures must be employed to reduce the incidence of infections related to peritoneal dialysis.
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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".