Sensor-Guided Transcatheter Aortic Valve Replacement
Bibliographic record
Abstract
OBJECTIVES: The SavvyWire(OpSens Medical) is a support wire for transcatheter aortic valve replacement (TAVR) procedures that, in addition to its dedicated left ventricle (LV) pacing capabilities, has a distal pressure sensor that measures live transvalvular hemodynamics during the procedure. We aimed to determine the safety, efficacy, and functionality of the SavvyWire during TAVR procedures in an all-comer population. METHODS: We performed a multicentric, prospective, observational, single-arm, all-comers registry of patients with symptomatic, severe aortic stenosis undergoing TAVR in 3 Canadian centers. Data were collected in a dedicated database, and pre-specified questionnaires were fulfilled by the heart team implanters after each procedure. RESULTS: A total of 60 patients were included (mean age: 78.6 ± 7.2 years; 51% women; mean Society of Thoracic Surgeons score: 2.2 ± 1.6%). TAVR was performed through a transfemoral approach in 90% of cases, and balloon- and self-expandable valves were used in 73% and 27% of patients, respectively. There were no cases of LV perforation, guidewire deformation, significant loss of capture, or major software malfunction. The rate of successful delivery of the TAVR system was 100%, and effective LV pacing was achieved in 98% of patients. The pre-TAVR mean gradient was 39 ± 14 mm Hg while the final post-TAVR gradient was 8 ± 5 mm Hg; the mean aortic systolic pressure during rapid pacing was 54 ± 12 mm Hg. In 97% of the TAVR procedures, SavvyWire's functionality was reported to be better or similar to other TAVR workhorse support wires. CONCLUSIONS: SavvyWire was safe, effective, and functional for live transvalvular hemodynamic evaluation and rapid pacing during TAVR procedures. More studies with larger sample sizes and comparison against different wires and gradient measurement methods are warranted.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.012 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".