Catheter Patency and Function after Catheter Sheath Disruption
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Hemodialysis catheters are frequently complicated by dysfunction from fibrin sheaths. Previous studies of sheath disruption have methodologic limitations but suggest that the patency after disruption is short. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: A randomized, controlled, pilot trial was conducted to investigate the impact of angioplasty sheath disruption on catheter patency and function. Forty-seven long-term hemodialysis patients with secondary, refractory catheter dysfunction underwent guidewire exchange to replace their catheters. RESULTS: Sheaths were present in 33 (70%) of the 47 patients. In 18 patients who were randomly assigned to disruption, the median time to repeat dysfunction was 373 d compared with 97.5 d in patients who did not undergo disruption (P = 0.22), and the median time to repeat catheter exchange was 411 and 198 d, respectively (P = 0.17). Mean blood flow (340 versus 329 ml/min; P < 0.001) and urea reduction ratio (72 versus 66%; P < 0.001) were higher in the disruption group. Fourteen patients had no sheaths, and their median times to repeat dysfunction and repeat exchange were 849 and 879 d, respectively. Patients with no sheaths had higher urea reduction ratio (73 versus 66%; P < 0.001) and a lower percentage of inadequate hemodialysis treatments (9.8 versus 27%; P = 0.01) and treatments that required thrombolytics (1.8 versus 5.0%; P = 0.03) than patients with sheaths that were not disrupted. CONCLUSIONS: Disrupting sheaths by angioplasty balloon results in durable catheter patency and modestly improves blood flow and clearance over the duration of catheter use.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".