Thromboelastography-based transfusion algorithm reduces blood product use after elective CABG: a prospective

Koray Ak1, Cemil S Isbir, Sermin Tetik

  • 1Department of Cardiovascular Surgery, School of Medicine, Marmara University, Istanbul, Turkey. akkoray@hotmail.com

Insights

Routine use of kaolin-activated thromboelastography (kTEG) algorithms significantly reduced blood product transfusions in patients undergoing coronary artery bypass grafting (CABG). This approach may improve outcomes and lower costs associated with cardiac surgery.

Area of Science:

  • Cardiovascular Surgery
  • Transfusion Medicine
  • Anesthesiology

Background:

  • Bleeding and allogeneic transfusions are significant challenges in cardiac surgery.
  • Elective coronary artery bypass grafting (CABG) often involves substantial blood loss and transfusion requirements.

Purpose of the Study:

  • To evaluate the effectiveness of a routine kaolin-activated thromboelastography (kTEG)-based algorithm in managing bleeding and transfusion needs.
  • To assess the impact of a TEG-guided transfusion strategy on patients undergoing elective CABG.

Main Methods:

  • A prospective randomized study involving 224 patients undergoing elective CABG with cardiopulmonary bypass.
  • Patients were divided into two groups: clinician-directed transfusion (n=110) and kTEG algorithm-guided transfusion (n=114).
  • Data on transfusion, blood loss, and clinical outcomes were systematically collected.

Main Results:

  • The TEG algorithm group showed significantly lower median units of fresh frozen plasma and platelets transfused.
  • Total allogeneic blood product transfusion units were significantly reduced in the TEG group compared to the clinician-directed group (median 2 vs. 3 units, p=0.001).
  • The need for tranexamic acid was also significantly lower in the TEG group (10.3% vs. 19%, p=0.007).

Conclusions:

  • Routine implementation of a kTEG-guided algorithm effectively reduces blood product consumption in elective CABG patients.
  • Adopting this algorithm may enhance clinical outcomes, minimize transfusion-related risks, and decrease overall healthcare costs.
Abstract