Progressive Increases in Peritoneal Dialysis Prescription: Patient Acceptance and Complication Rates
Bibliographic record
Abstract
Peritoneal dialysis adequacy has an impact on patient mortality. Both the CANUSA study and DOQI Guidelines outline targets for adequacy, and it has been suggested that quantitative adequacy determinations be made at regular intervals. Some groups believe these targets are not achievable because of lack of patient acceptance and high complication rate. We examined the outcome of peritoneal dialysis in a setting where prescription changes are made on clinical grounds, and determined the complication rates and patient acceptance of prescription changes. A total of 154 patients commencing peritoneal dialysis from January 1, 1994,-December 31, 1996, were studied to determine reasons for dialysis prescription changes, patient acceptance of, and complications related to these changes. Point prevalence data for dialysis prescription for our center and other Canadian centers were obtained from the Canadian Institute for Health Information. Co-morbidity - adjusted patient and technique survival for our center versus other centers in Canada was performed by Poisson regression analysis. Dialysis prescription changes were based on clinical assessment. A total of 102 patients started on either > 8 L of dialysate or had an increase in dialysis prescription during the study period. These patients were heavier, on peritoneal dialysis for longer, and fewer were transplanted compared with the patients on standard prescription (8 L or less). Only 4% of patients refused the change in dialysis prescription, and only 13 peritoneal leaks occurred, resulting in 3 transfers to hemodialysis. Our center prescribed a larger number of exchanges than other Canadian centers in 1995-1997. Adjusted mortality rate ratios for our center versus the other Canadian Centers (1990-1996) are equal. The 3 year technique survival for peritoneal dialysis patients from our center between 1990-1996 was 75% vs. 61% for other centers in Canada. At last follow-up, > 60% of patients had a Kt/V urea >2.1 and 45% had a creatinine clearance > 70 L/1.73 m2/week. This Regional Program has successfully prescribed high volume and frequency peritoneal dialysis on clinical grounds alone. This practice is associated with high patient acceptance, equivalent mortality, and higher technique survival compared with the rest of Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.012 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".