The Effect of Tip Placement on Fibrin Sheath Formation in Poorly Functioning Tunnelled Haemodialysis Lines
Bibliographic record
Abstract
Background and Objectives: Fibrin sheath formation is a common cause of haemodialysis (HD) line dysfunction requiring frequent interventional line exchanges. This study assessed HD tip and line placement, line length, and demographics in poorly functioning HD lines due to fibrin sheath formation, to determine if there is a correlation between these factors and repeatedly poor function. Patients and Methods: Patient medical records were retrospectively reviewed to include those who have had poorly functioning HD lines with fluoroscopic evidence of a fibrin sheath from 2011–2019. Analysis of variance and t-tests were performed to determine the significance of various factors on the time until a line exchange was required. Results: Patients with an HD tip placed in the inferior vena cava underwent an exchange the soonest (130.23 days), while tips in the superior vena cava went the longest without required intervention (968.80 days; p=0.007). Lines in the left internal jugular vein had the most days without intervention, and lines in the femoral vein had the least (1,132.80 versus 142.50 days, respectively; p=0.007). Furthermore, 19 cm lines went 816.75 days without intervention, and 42 cm lines went 114.73 days without intervention (p=0.049). Intervention-free days decreased if the patient had undergone previous interventions (p<0.001). Patients with diabetes required intervention before those without diabetes (694.09 versus 917.08 days, respectively; p=0.033). Conclusion: Factors such as HD tip and line placement, line length, previous interventions, and diabetic status demonstrated a correlation with how frequently tunnelled HD lines required intervention due to fibrin sheath formation.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".