Optimizing AVF creation prior to dialysis start: the role of predialysis renal replacement therapy choices
Bibliographic record
Abstract
BACKGROUND: In British Columbia, multidisciplinary predialysis clinics encourage patients to consider independent modalities of renal replacement therapy (RRT) such as peritoneal dialysis (PD) 'first'. Despite up to 50% of patients choosing PD, PD incidence rates are ~30%. We explored the relationship between predialysis RRT choice and arteriovenous fistula (AVF) creation prior to hemodialysis (HD) start with particular focus on the group of patients who despite PD choice actually commence HD, and thus may contribute to 'suboptimal' HD starts without AVF creation. METHODS: We conducted a retrospective cohort study of all patients starting dialysis between 31 December, 2006 and 31 December 2008 in the province of British Columbia. Inclusion criteria were >3 months predialysis nephrology follow-up, at least one predialysis RRT education session and maintenance on dialysis for a minimum of 3 months (to ensure chronic dialysis). Patients with any prior history of RRT were excluded. RESULTS: There were 508 patients included in the study: 127 (25%) patients chose HD, 114 (22%) PD, 13 (3%) pre-emptive transplant, 5 (1%) conservative management and 249 (49%) had no documented modality decision. Of those who chose HD, 94% commenced HD. For those who chose PD, 64% commenced PD and 36% HD. In the undecided group, 68% started HD and 32% PD. For those patients who chose PD predialysis, the presence of cardiovascular disease [odds ratio (OR) 2.36, 95% confidence interval (CI) 1.02-5.43] and lower serum albumin levels (OR 0.92, 95% CI 0.86-0.98) were associated with failure to commence PD. Predialysis AVF creation rates were 79% of those who chose and started HD, 39% of those who chose PD but started HD and 50% of those in the undecided group who commenced HD. CONCLUSIONS: AVF creation rates prior to HD start were lower in those patients with no documented dialysis modality choice and in those who failed to commence PD. Cardiovascular disease and lower serum albumin levels were associated with failure to start PD. Further work to ensure the efficacy of RRT modality choice pathway and to better predict those patients who will fail to commence PD is necessary, so that dialysis start can be 'optimized' with AVF creation in high-risk groups.
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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".