Tissue plasminogen activator as a hemodialysis catheter locking solution
Bibliographic record
Abstract
Tunneled hemodialysis catheters require a "locking solution" between treatments to prevent catheter thrombosis. Heparin locks can be unsafe in patients with life-threatening bleeding diathesis because of unintentional anticoagulation. This study was designed to define the hematologic consequences of using tissue plasminogen activator (t-PA) as an alternative locking solution after heparin-free hemodialysis (HF-HD). Following HF-HD, t-PA 2 mg was instilled into each lumen of the dialysis catheter in 10 patients. Euglobulin clot lysis time (ECLT), fibrinogen, D-dimer, and fibrin degradation products were measured during the last hour of dialysis, and repeated 15 and 30 minutes after catheter locking. Dialysis catheter performance was reassessed at the time of the next hemodialysis. Fibrinogen, D-dimer, and fibrin degradation products were elevated at all time points, but did not change after t-PA. ECLT decreased significantly from baseline 15 minutes after catheter locking (217+/-64 vs. 132+/-75 min, p=0.016). ECLT values had returned to baseline (202+/-56 minutes) by 30 minutes. No episodes of bleeding or catheter thrombosis occurred, and catheter performance did not deteriorate. A 2 mg t-PA locking solution preserved dialysis catheter performance. ECLT decreased at 15 minutes, but normalized by 30 minutes, and did not enter the range in which bleeding would be likely. No clinical events were seen during this transient increase in systemic fibrinolysis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".