OBJECTIVE: Aortic surgical procedures requiring hypothermic circulatory arrest are associated with altered hemostasis and increased bleeding. In a randomized clinical trial, we evaluated effects of thromboelastometrically guided algorithm on transfusion requirements. METHODS:Fifty-six consecutive patients (25 with acute type A dissection) undergoing aortic surgery with hypothermic circulatory arrest were enrolled in a randomized trial during a 6-month period. Patients were randomly allocated to treatment group (n = 27) with thromboelastometrically guided transfusion algorithm or control group (n = 29) with routine transfusion practices (clinical judgment-guided transfusion followed by transfusion according to coagulation test results). Primary end point was cumulative allogeneic blood units (red blood cells, fresh-frozen plasma, and platelets) transfused. RESULTS:Transfusion of allogeneic blood was significantly reduced in the thromboelastometry group: median 9.0 units (interquartile range, 2.0-30.0 units) versus. 16.0 units (9.0-23.0 units, P = .02). Most significant decrease was in the use of fresh-frozen plasma (3.0 units, 0-12.0 units, vs 8.0 units, 4.0-18.0 units, P = .005). Postoperative blood loss (890 mL/d, 600-1250 mL/d vs 950 mL/d, 650-1400 mL/d, p = 0.5) and rate of surgical re-exploration (19% vs 24%, P = .7) were similar between groups. Thromboelastometrically guided algorithm significantly decreased need for massive perioperative transfusion (odds ratio, 0.45; 95% confidence interval, 0.2-0.9; P = .03) in multivariable logistic regression analysis. CONCLUSIONS:Thromboelastometrically guided transfusion is associated with a decreased use of allogeneic blood units and reduced incidence of massive transfusion in patients undergoing aortic surgery with circulatory arrest.
RCT Entities:
OBJECTIVE: Aortic surgical procedures requiring hypothermic circulatory arrest are associated with altered hemostasis and increased bleeding. In a randomized clinical trial, we evaluated effects of thromboelastometrically guided algorithm on transfusion requirements. METHODS: Fifty-six consecutive patients (25 with acute type A dissection) undergoing aortic surgery with hypothermic circulatory arrest were enrolled in a randomized trial during a 6-month period. Patients were randomly allocated to treatment group (n = 27) with thromboelastometrically guided transfusion algorithm or control group (n = 29) with routine transfusion practices (clinical judgment-guided transfusion followed by transfusion according to coagulation test results). Primary end point was cumulative allogeneic blood units (red blood cells, fresh-frozen plasma, and platelets) transfused. RESULTS: Transfusion of allogeneic blood was significantly reduced in the thromboelastometry group: median 9.0 units (interquartile range, 2.0-30.0 units) versus. 16.0 units (9.0-23.0 units, P = .02). Most significant decrease was in the use of fresh-frozen plasma (3.0 units, 0-12.0 units, vs 8.0 units, 4.0-18.0 units, P = .005). Postoperative blood loss (890 mL/d, 600-1250 mL/d vs 950 mL/d, 650-1400 mL/d, p = 0.5) and rate of surgical re-exploration (19% vs 24%, P = .7) were similar between groups. Thromboelastometrically guided algorithm significantly decreased need for massive perioperative transfusion (odds ratio, 0.45; 95% confidence interval, 0.2-0.9; P = .03) in multivariable logistic regression analysis. CONCLUSIONS: Thromboelastometrically guided transfusion is associated with a decreased use of allogeneic blood units and reduced incidence of massive transfusion in patients undergoing aortic surgery with circulatory arrest.
Authors: Kevin Fleming; Roberta E Redfern; Rebekah L March; Nathan Bobulski; Michael Kuehne; John T Chen; Michael Moront Journal: J Extra Corpor Technol Date: 2017-12
Authors: Marcel Adler; Sandra Ivic; Nicolas S Bodmer; Hugo Ten Cate; Lucas M Bachmann; Walter A Wuillemin; Michael Nagler Journal: Transfus Med Hemother Date: 2017-03-08 Impact factor: 3.747
Authors: Gregory R Stettler; Ernest E Moore; Geoffrey R Nunns; Jim Chandler; Erik Peltz; Christopher C Silliman; Anirban Banerjee; Angela Sauaia Journal: J Surg Res Date: 2018-04-11 Impact factor: 2.192