Abstract Background The clinical applicability of machine learning predictions of patient outcomes following cardiac surgery remains unclear. We applied machine learning to predict patient outcomes associated with high morbidity and..
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Abstract Objectives Extracorporeal cardiopulmonary resuscitation (ECPR) can save patients with refractory cardiac arrest; however, according to recent meta-analyses, only 20% of patients achieve favorable outcomes (Modified Rankin Scale 0-3). We..
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Abstract Background: Postoperative pneumonia (POP) is one of the most common infections following heart valve surgery (HVS) and is associated with a significant increase in morbidity, mortality, and health care..
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Abstract Purpose: To establish a model to predict the risk of acute respiratory distress syndrome (ARDS) after cardiac surgery. Methods: Data were collected on 132 ARDS patients, who received valvular or coronary..
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