Reduction in Thrombolytic Usage in Hemodialysis Patients Following a Quality Assurance Review: A Research Letter
Bibliographic record
Abstract
Background: Catheter malfunction in hemodialysis (HD) is increasingly managed with recombinant tissue plasminogen activator (rt-PA, alteplase), though evidence of improved catheter function is lacking. Objective: To evaluate the effect of a standardized rt-PA administration protocol on rt-PA usage, catheter function, and adverse events. Design: Observational quality improvement study. Setting: Single, urban, community HD unit in Calgary, Alberta. Patients: Patients treated with maintenance in-center HD through central venous catheter. Outcomes: Incidence of rt-PA usage, catheter interventions, hospitalizations, and measures of dialysis efficacy. Methods: The rt-PA protocol was designed following a consultative and iterative design period with dialysis shareholders, which included focusing on standard objective criteria before use and targeting use to the problematic lumen. Protocol implementation occurred over a 6-month period in 2021. Patient and dialysis data were collected through our regional dialysis electronic health record. Results: Implementation of the rt-PA protocol resulted in decreased rt-PA use (standardized per 100 dialysis sessions) compared to the preprotocol period (incidence rate ratio [IRR] of 0.57, 95% confidence interval [CI]: [0.34, 0.94]). Line procedures were also less frequent (IRR = 0.42, 95% CI: [0.18, 0.89]). Hospitalization rates and measures of dialysis efficacy were similar in both periods. Limitations: Small sample size with single dialysis center and short duration of follow-up. Conclusions: Implementation of a multidisciplinary designed rt-PA administration protocol decreased incident rt-PA usage.
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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 | 0.049 | 0.277 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.003 |
| 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".