Perioperative blood loss in cardiac surgery: Validation of machine learning-derived clusters

Yerlan Orazymbetov, Serik Aitaliyev, Povilas Jakuška, Audronė Veikutienė, Tadas Lenkutis, Rassul Zhumagaliyev, Aušra Saudargienė, Rimantas Benetis, Department of Cardiac, Thoracic and Vascular Surgery, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Lithuanian University of Health Sciences, National Scientific Medical Centre, Institute of Cardiology, Lithuanian University of Health Sciences, Department of Anaesthesiology, Medical Academy, Lithuanian University of Health Sciences, Neuroscience Institute, Lithuanian University of Health Sciences

Perfusion

Published online on March 26, 2026

Abstract

Perfusion, Ahead of Print.
BackgroundThere is no universally accepted definition of perioperative blood loss in cardiac surgery. Existing methods are based on chest tube output and are not normalised for patient weight.ObjectiveTo validate machine learning-derived blood loss ...