MO047INTERNATIONAL DIFFERENCES IN TIME FROM ARTERIOVENOUS FISTULA (AVF) CREATION UNTIL BECOMING CATHETER-FREE AMONG HD PATIENTS USING A CATHETER AT TIME OF AVF CREATION: RESULTS FROM THE DOPPS
Bibliographic record
Abstract
INTRODUCTION AND AIMS: Hemodialysis vascular access practice varies greatly across countries, and greater use of a central venous catheter (CVC) at both the patient- and facility-level is strongly associated with higher infection and mortality rates. We aimed to describe whether international differences in the time from AVF creation until becoming catheter-free exist in HD patients (pts) using a CVC at AVF creation. Here we present descriptive results from the Dialysis Outcomes and Practice Patterns Study (DOPPS) for 3 regions: the US, Japan, and EUR/ANZ (Europe, Australia, and New Zealand). METHODS: Study participants included pts who had an AVF created during the study (index AVF) in DOPPS 4+5 (2009-2015) and who were using a CVC at AVF creation. Time until becoming CVC free was defined as days from the index AVF creation date until first of: (1) use of the index AVF, (2) use of a subsequent AV access [AVF or AV graft], or (3) loss to/end of follow-up. MO047 Figure CONCLUSIONS: Among pts using a catheter when a new AVF was created, time until becoming CVC free differed greatly between Japan, EUR/ANZ, and the US due to differences in the successful use of the newly created AVF and differences in maturation time. Among pts whose index AVF is never used in the US and EUR/ANZ approximately 85% had died or are still using a CVC 8 months after index AVF creation, suggesting the difficulties and complexities involved for pts when an AVF creation is not successful. These findings may reflect the inability to recognize a non-successful AVF or the failure to create/implement an individualized plan for an alternate vascular access in a timely fashion.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".