An Absorbable Antibacterial Envelope Promotes Development of a Healthy Device Pocket: Results of the TYRX Pocket Health Study
Bibliographic record
Abstract
INTRODUCTION: Creation of a pocket and implant of a cardiac implantable electronic device (CIED) elicits a foreign body response in the presence of the normal wound healing process. An absorbable antibacterial envelope (TYRX™, Medtronic Inc.) was developed to stabilize CIEDs and reduce infections. However, characterization of its impact on pocket healing is limited. We aimed to characterize histological and morphometric features of device capsules in patients previously implanted with an absorbable TYRX. METHODS: The TYRX Pocket Health Study (NCT05356546) was a prospective, observational study conducted from June 2022 to July 2023 at 9 sites. The study evaluated characteristics in existing CIED pockets of patients previously implanted with an absorbable TYRX returning for device replacement. Tissue sections were obtained, stained, and evaluated for adhesions, capsule thickness, inflammation, neovascularization, and calcification and compared to a historical control. RESULTS: The mean time between procedures was 6.8 years. TYRX pockets had significantly decreased adhesions (p < 0.05) with no clinically significant calcification. TYRX capsules contained predominantly Type I collagen and were significantly thinner (0.33 ± 0.16 mm TYRX, 0.8 ± 0.3 mm controls, p < 0.0001). TYRX pockets had low inflammation with 96% of TYRX pockets (26/27) having absent to mild inflammation. CONCLUSION: In this prospective evaluation of long-term pocket healing with an absorbable TYRX, reduced adhesions, low inflammation, and well-formed capsules were observed with no clinically significant calcification. This suggests that TYRX may promote creation of a well-healed pocket desirable for subsequent procedures.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".