The Journal of thoracic and cardiovascular surgery
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J. Thorac. Cardiovasc. Surg. · Apr 2024
Personalizing Patient Risk of a Life Altering Event: An Application of Machine Learning to Hemiarch Surgery.
The study objective was to assess a machine learning model's ability to predict the occurrence of life-altering events in hemiarch surgery and determine contributing patient characteristics and intraoperative factors. ⋯ Machine learning demonstrated superior accuracy in predicting hemiarch patients who would experience a life-altering event. This model may help to guide patients and clinicians in stratifying risk on an individual basis, which may in turn influence clinical decision-making.
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To review the pathology of the mitral valve (MV) and long-term outcomes of surgery in patients with Marfan syndrome (MFS). ⋯ MV repair was associated with better survival than MV replacement, but recurrent MR after repair occurred in approximately one-third of the patients at 20 years after surgery.