Catheter tip malposition after percutaneous placement of tunneled hemodialysis catheters
Bibliographic record
Abstract
The percutaneous catheterization of central veins is increasingly used in nephrological practice as a temporary or permanent vascular access. The aim of our study was to present and to analyze episodes of catheter tip malposition during percutaneous tunneled hemodialysis catheter insertion in the large, unselected group of patients. All patients who underwent the procedure of catheter insertion in our department during year 2012 were analyzed retrospectively. One hundred four tunneled hemodialysis catheters were inserted in 101 patients. In 58 patients, the catheter was inserted at the initiation of hemodialysis therapy as the first access and in 46 the catheter was placed because of the failure of the existing one. In 68 patients, the catheter was inserted into the right internal jugular vein and in 20 patients into the left internal jugular vein (LIJV). Subclavian veins were used in five cases and femoral veins in 11 cases. Malposition of the catheter tips occurred in six patients. In all cases, the LIJV was cannulated. In two cases, the catheter tip malposition was in the right innominate vein and in four cases in the azygos vein. Our data demonstrate that with the blind insertion of tunneled hemodialysis catheters, the risk of catheter tip malposition is significantly higher with the left side insertion. As catheter insertion through the LIJV holds very high (30%) risk of the tip malposition, it should always be performed under the fluoroscopic control.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".