Assessment of a Quantra-Guided Hemostatic Algorithm in High-Bleeding-Risk Cardiac Surgery

Objectives: To assess whether a Quantra-guided hemostatic algorithm would reduce transfusion requirement and major bleeding compared with laboratory-guided testing in patients facing high-bleeding-risk cardiac surgery.Design: Single-center before-and-after study.Setting: University hospital.Participants: Patients facing high-bleeding-risk cardiac surgery with cardiopulmonary bypass.Interventions: Hemostatic algorithm was based on standard laboratory testing during the control period, then on the Quantra during the Quantra period. The primary endpoint was the number of red blood cell (RBC) units transfused on day 1 after surgery. Measurements and Main Results: After propensity-score matching, 66 patients were included in the Quantra group and 117 in the control group. The Quantra group received fewer RBC units on day 1 than the control group (2 [0-5] v 4 [2-6], p = 0.016, respectively). Intraoperatively, the Quantra group received fewer RBC (2 [0-3] v 3 [1-5], p = 0.005), less fresh frozen plasma (0 [0-3] v 3[2-5], p < 0.0001), and fewer platelet units (7.5 [0-10] v 8.2 [6.3-11.7], p = 0.014). The intraoperative rates of RBC, plasma, and platelet transfusion were reduced (64% v 78%, p = 0.05; 41% v 85%, p < 0.001; 55% v 82%, p = 0.001, respectively). The RBC and plasma transfusions were reduced on days 1, 2, and 7. The incidence of major bleeding on day 1 also was reduced (36% v 56%, p = 0.014). In multivariate analysis, implementation of the Quantra-guided hemostatic algorithm was associated independently with reductions in major bleeding. Conclusion: Implementation of a Quantra-based hemostatic algorithm was associated with a decrease in transfusion requirement and major bleeding after high-bleeding-risk cardiac surgery. Randomized trials are needed to confirm these results.(c) 2023 Elsevier Inc. All rights reserved.