DEVICE AND PROCEDURE TO PARTITION THE PRESSURE GENERATED BY TRICUSPID REGURGITATION FROM THE LOWER ORGANS
Bibliographic record
Abstract
Background. Severe Tricuspid valve regurgitation (TR), impacts patient’s life style. Surgical repair for patients reaching late stage carries a high mortality. A concept for a device to block retrograde pressure to the Inferior vena cava (IVC) and superior vena cava (SVC) and lower organs is presented. Experimental Methods. Moderate to severe TR was induced in 20 sheep by a jugular percutaneous approach severing the tricuspid valve chordal mass. Pressure was measured by means of Swanz-Ganz catheter. Following TR conditioning for 10 weeks, the animals were divided into: I) control, TR only (n=6); II) (n=6) Percutaneous placement of self-expanding valved stent in the IVC and; III) valved stents in both IVC and SVC (n=7). Descending and ascending venograms showed competency and patency of these devices respectively. End points of safety: no migration, no thrombosis and no dissection of the veins. End points of efficacy: containment of Right Heart pressure above the hepatic veins, function of the valve with the cardiac rhythm. Results: Preliminary results showed that the device met all the safety end points. Pressure measurements showed partiioning of pressure as compared with the control animals. While in normal animals IVC valve diameters averaged 18–20 mm, those with sustained TR averaged 24–26mm. For animals that also received SVC valved stents increase was approximately 2 mm from an initial 18 mm diameter. Conclusions: Deployment of valved stents can be done safely.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".