Impact of mitral regurgitation reduction on uncorrected tricuspid regurgitation after left ventricular assist device implantation.

Objective: Appropriate management of significant tricuspid regurgitation during left ventricular assist device implantation is unclear. This study evaluates the impact of post-left ventricular assist device mitral regurgitation reduction on uncorrected significant tricuspid regurgitation.

Methods: All patients who underwent HeartMate 3 implantation between January 2016 and December 2022 with preoperative moderate or greater tricuspid regurgitation were reviewed.

Prediction of coronary artery bypass graft outcomes using a single surgical note: An artificial intelligence-based prediction model study.

Background: Healthcare providers currently calculate risk of the composite outcome of morbidity or mortality associated with a coronary artery bypass grafting (CABG) surgery through manual input of variables into a logistic regression-based risk calculator. This study indicates that automated artificial intelligence (AI)-based techniques can instead calculate risk. Specifically, we present novel numerical embedding techniques that enable NLP (natural language processing) models to achieve higher performance than the risk calculator using a single preoperative surgical note.