Percutaneous Atriotomy for Levoatrial–to–Coronary Sinus Shunting in Symptomatic Heart Failure
Bibliographic record
Abstract
OBJECTIVES: Our study reports the first-in-human experience of a novel approach for left atrial access via the coronary sinus-the percutaneous atriotomy-which is used for left atrial decompression with a dedicated left atrial (LA)-to-coronary sinus (CS) shunt. BACKGROUND: Elevated LA pressures contribute to heart failure symptoms, and targeted therapy with atrial shunt devices for LA decompression is an emerging strategy. Current devices reside in the interatrial septum, with risk for right-to-left shunting and systemic embolization. Moreover, preservation of the interatrial septum is imperative with an increasing number of left-sided transseptal transcatheter interventions. METHODS: Patients with symptomatic heart failure underwent implantation in a multicenter, international compassionate experience. Clinical, anatomic, and hemodynamic parameters were assessed at baseline and follow-up. The right internal jugular vein enabled CS cannulation, followed by CS-to-LA puncture and balloon dilation of the LA wall, completing the percutaneous atriotomy. The novel shunt device was then deployed between the left atrium and CS, enabling LA decompression. RESULTS: Percutaneous atriotomy was attempted in 11 patients, with success in 8; of these, all shunt deployments were successful. In follow-up (median 201 days; interquartile range [IQR]: 156 to 260 days) there were no major periprocedural adverse events, New York Heart Association functional class improved to I or II in 87.5%, pulmonary capillary wedge pressure was reduced (Δ -9 mm Hg; IQR: -9.5 to -8 mm Hg), and shunting was sustained (Δ Qp/Qs 0.25; IQR: 0.19 to 0.33). CONCLUSIONS: Our study reports the first-in-human experience of a novel approach for left-sided transcatheter cardiac interventions: the percutaneous atriotomy. This approach enabled the placement of a novel LA-to-CS shunt for LA decompression. The procedure is feasible and results in clinical and hemodynamic improvements.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".