Abstract Objectives To investigate the impact of systemic inflammatory response syndrome (SIRS) on 30-day mortality following cardiac surgery and develop a machine learning model to predict SIRS. Design Retrospective cohort..
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Abstract Postoperative mortality accounts for 7.7% of all global deaths, while postoperative complications increase 1-year mortality by 60%. Risk prediction models for postoperative complications and mortality can facilitate tailored risk..
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Abstract Currently, lactate (Lac) is used to evaluate (MP) of hearts, donated after circulatory death (DCD). We hypothesize that monitoring of myocardial (mLDP) by Laser-Doppler-Perfusion is superior to Lac to evaluate perfusion..
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Abstract OBJECTIVES To develop a model for predicting long-term survival following coronary artery bypass graft surgery. METHODS This study included 46 573 patients from the Australian and New Zealand Society of..
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