An Algorithm to Optimize Perioperative Blood Management in Surgery

Abstract

Innovation in surgical blood management has been fueled by patients' perceptions of the risks associated with allogeneic blood transfusions and by surgeons' attitudes toward the use of allogeneic blood. The challenge is to determine the best blood management strategy to implement in the individual patient, particularly in patients with anemia who are at high risk of allogeneic blood transfusion. An algorithm to estimate safe blood loss based on individual patient parameters has been developed. The algorithm uses patient weight, gender, and preoperative hematocrit level to derive the volume of blood loss that can be tolerated while maintaining a target postoperative hematocrit level. Because the margin of safe blood loss can be anticipated, the most appropriate blood conservation option(s) can be implemented and perioperative blood management can be optimized.