The Journal of thoracic and cardiovascular surgery
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Segmentectomy is becoming the standard of care for small, peripheral non-small cell lung cancer. To improve perioperative management in this population, this study aims to identify factors influencing hospital length of stay after segmentectomy. ⋯ Older patients, those with reduced pulmonary function, and current and past smokers have elevated risk for prolonged hospital stays after segmentectomy. Validation of our nomogram could improve perioperative risk stratification in patients who undergo segmentectomy.
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J. Thorac. Cardiovasc. Surg. · Apr 2024
Transcatheter versus Surgical Aortic Valve Replacement for Severe Aortic Valve Stenosis: Meta-Analysis with Trial Sequential Analysis.
Randomized controlled trials comparing transcatheter aortic valve implantation with surgical aortic valve replacement demonstrate conflicting evidence, particularly in low-risk patients. We aim to reevaluate the evidence using trial sequential analysis, balancing type I and II errors, and compare with conventional meta-analysis. ⋯ Conventional meta-analysis methods may have prematurely declared an early reduction of negative outcomes after transcatheter aortic valve implantation when compared with surgical aortic valve replacement.
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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.
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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.