Alteplase Use in Surface-Modified Peripherally Inserted Central Catheters in a National Cancer Institute-Designated Comprehensive Cancer Center: A Pharmacoeconomic Analysis
Bibliographic record
Abstract
Abstract Background: One of the most common complications of a peripherally inserted central catheter (PICC) is loss of line patency due to platelet adhesion to the device. A new technology called Endexo (Interface Biologics Inc, Toronto, ON, Canada) has been developed that has been shown to reduce platelet adhesion (in bench studies). The purpose of our study was to determine if the use of PICC lines manufactured with Endexo technology would use fewer alteplase doses such that the increased expense of these lines could be offset by a corresponding reduction in alteplase expense. Methods: The control group received our standard-of-care PICC, the study group received the Endexo PICC, and all patients were followed for a maximum of 60 days postinsertion. Statistical and economic analyses were performed to determine whether a significant reduction in alteplase use was observed, and whether the increased cost of the new novel PICCs could be offset by a reduction in alteplase-related expense. Results: Our study enrolled patients who underwent 157 PICC insertions in the control group and 145 PICC insertions in the study group. We found no statistical difference in average alteplase doses per line, number of PICCs requiring an alteplase dose, or time to first dose of alteplase between study groups. An economic analysis revealed that at our institution, adopting PICCs with Endexo technology would result in increased expenses. Conclusions: In our patient population we were unable to observe a reduction in alteplase use to offset the increased costs of this novel PICC when catheters were followed for a maximum of 60 days postinsertion.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".