A fully automated artificial intelligence-driven software for planning of transcatheter aortic valve replacement.

BACKGROUND: Transcatheter aortic valve replacement (TAVR) is increasingly performed for the treatment of aortic stenosis. Computed tomography (CT) analysis is essential for pre-procedural planning. Currently available software packages for TAVR planning require substantial human interaction. We describe development and validation of an artificial intelligence (AI) powered software to automatically rend anatomical measurements and other information required for TAVR planning and implantation. METHODS: Automated measurements from 100 CTs were compared to measurements from three expert clinicians and TAVR operators using commercially available software packages. Correlation coefficients and mean differences were calculated to assess precision and accuracy. RESULTS: AI-generated annular measurements had excellent agreements with manual measurements by expert operators yielding correlation coefficients of 0.97 for both perimeter and area. There was no relevant bias with a mean difference of -0.07 mm and - 1.4 mm2 for perimeter and area, respectively. For the ascending aorta measured 5 cm above the annular plane, correlation coefficient was 0.95 and mean difference was 1.4 mm. Instruction for use-based sizing yielded agreement with the effective implant size in 87-88 % of patients for self-expanding valves (perimeter-based sizing) and in 88 % for balloon-expandable valves (area-based sizing). CONCLUSIONS: A fully automated software enables accurate and precise anatomical segmentation and measurements required for TAVR planning without human interaction and with high reliability.

The Society of Thoracic Surgeons 2023 Clinical Practice Guidelines for the Surgical Treatment of Atrial Fibrillation.

The Society of Thoracic Surgeons 2023 Clinical Practice Guidelines for the Surgical Treatment of Atrial Fibrillation incorporate the most recent evidence for surgical ablation and left atrial appendage occlusion in different clinical scenarios. Substantial new evidence regarding the risks and benefits of surgical left atrial appendage occlusion and the long-term benefits of surgical ablation has been produced in the last 5 years. Compared with the 2017 clinical practice guideline, the current update has an emphasis on surgical ablation in first-time, nonemergent cardiac surgery and its long-term benefits, an extension of the recommendation to perform surgical ablation in all patients with atrial fibrillation undergoing first-time, nonemergent cardiac surgery, and a new class I recommendation for left atrial appendage occlusion in all patients with atrial fibrillation undergoing first-time, nonemergent cardiac surgery. Further guidance is provided for patients with structural heart disease and atrial fibrillation being considered for transcatheter valve repair or replacement, as well as patients in need of isolated left atrial appendage management who are not candidates for surgical ablation. The importance of a multidisciplinary team assessment, treatment planning, and long-term follow-up are reiterated in this clinical practice guideline with a class I recommendation, along with the other recommendations from the 2017 guidelines that remained unchanged in their class of recommendation and level of evidence.

Outcomes of Isolated Tricuspid Valve Surgery: A Society of Thoracic Surgeons Analysis and Risk Model.

BACKGROUND: To provide patients and surgeons with clinically relevant information, The Society of Thoracic Surgeons (STS) Adult Cardiac Surgery Database was queried to develop a risk model for isolated tricuspid valve (TV) operations. METHODS: All patients in the STS Adult Cardiac Surgery Database who had undergone isolated TV repair or replacement (N = 13,587; age 48.3 ± 18.4 years) were identified (July 2017 to June 2023). Multivariable logistic regression accounting for TV replacement vs repair was used to model 8 operative outcomes: mortality, morbidity or mortality or both, stroke, renal failure, reoperation, prolonged ventilation, short hospital stay, and prolonged hospital stay. Model discrimination (C-statistic) and calibration were assessed using 9-fold cross-validation. RESULTS: The isolated TV study population included 41.1% repairs (N = 5,583; age 52.6 ± 18.1 years) and 58.9% replacements (N = 8,004; age 45.3 ± 18.0 years). The overall predicted risk of operative mortality was 5.6%, and it was similar in TV repairs and replacements (5.5% and 5.7%, respectively), as was the predicted risk of composite morbidity and mortality (28.2% and 26.8%). TV replacements were generally performed in younger patients with a higher endocarditis prevalence than TV repairs (45.7% vs 21.1%). The model yielded a C-statistic of 0.81 for mortality and 0.76 for the composite of morbidity and mortality, with excellent observed-to-expected calibration that was comparable in all subcohorts and predicted risk decile groups. CONCLUSIONS: An STS risk model has been developed for isolated TV surgery. The current mortality of isolated TV operations is lower than previously observed. This risk prediction model and these contemporary outcomes provide a new benchmark for current and future isolated TV interventions.