Predicting tissue plasminogen activator use and success in in-center hemodialysis patients
Bibliographic record
Abstract
INTRODUCTION: Hemodialysis catheter malfunction is problematic. We aimed to determine clinical, catheter, and hemodialysis variables that predict: (i) catheter malfunction requiring recombinant tissue-plasminogen activator (TPA) treatment and (ii) the success of TPA administration. METHODS: Clinical, catheter, and hemodialysis variables were collected from a cohort of 559 catheters (141,526 catheter days) in 175 hemodialysis patients (2008-2011). Time to, and predictors of, catheter malfunction were determined for all catheters and primary catheters only, analyzed by Cox-proportional hazard model, multi-variable logistic regression model, and mixed-effect logistic regression models. Success of TPA use was determined immediately, next day, and two weeks after use. RESULTS: Shorter time to first TPA administration in all patient's catheters was associated with increased body mass index (hazard ratio [HR] = 1.06, 1.01-1.11, p = 0.03) and being of black race (HR = 3.05, 1.65-5.67, p<0.01). Primary TPA administration success at two weeks among primary catheters was associated with increased mean peak venous pressure before TPA administration (odds ratio [OR] = 1.03, 1.01-1.06, p<0.01) and decreased mean of the lowest systolic blood pressure measure for the three dialysis sessions prior to TPA administration (OR = 0.95, 0.91-0.99, p = 0.02). TPA administration success at two weeks among all catheters was associated with decreasing body mass index (OR = 0.84, CI 0.73-0.96, p = 0.01) and having diabetes (OR = 7.19, 1.40-36.81, p = 0.02). CONCLUSIONS: Both patient and dialysis predictors of TPA use and success were identified in this study, which may be useful for fine-tuning catheter management protocols to target hemodialysis patients at high risk of catheter malfunction.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".