BACKGROUND: We sought to determine whether publication of blood conservation guidelines by the Society of Thoracic Surgeons in 2007 influenced transfusion rates and to understand how patient- and hospital-level factors influenced blood product usage. STUDY DESIGN AND METHODS: We identified 4,465,016 patients in the Nationwide Inpatient Sample database who underwent cardiac operations between 1999 and 2010 (3,202,404 before the guidelines and 1,262,612 after). Hierarchical linear modeling was used to account for hospital- and patient-level clustering. RESULTS: Transfusion rates of blood products increased from 13% in 1999 to a peak of 34% in 2010. Use of all blood components increased over the study period. Aortic aneurysm repair had the highest transfusion rate with 54% of patients receiving products in 2010. In coronary artery bypass grafting, the number of patients receiving blood products increased from 12% in 1999 to 32% in 2010. Patients undergoing valvular operations had a transfusion rate of 15% in 1999, increasing to 36% in 2010. Patients undergoing combined operations had an increase from 13% to 40% over 11 years. Risk factors for transfusion were anemia (odds ratio [OR], 2.05; 95% confidence interval [CI], 2.01-2.09), coagulopathy (OR, 1.54; 95% CI, 1.51-1.57), diabetes (OR, 1.32; 95% CI, 1.28-1.36), renal failure (OR, 1.29; 95% CI, 1.26-1.32), and liver disease (OR, 1.23; 95% CI, 1.16-1.31). Compared to the Northeast, the risk for transfusion was significantly lower in the Midwest; higher-volume hospitals used fewer blood products than lower-volume centers. Cell salvage usage remained below 5% across all years. CONCLUSION: Independent of patient- and hospital-level factors, blood product utilization continues to increase for all cardiac operations despite publication of blood conservation guidelines in 2007.
BACKGROUND: We sought to determine whether publication of blood conservation guidelines by the Society of Thoracic Surgeons in 2007 influenced transfusion rates and to understand how patient- and hospital-level factors influenced blood product usage. STUDY DESIGN AND METHODS: We identified 4,465,016 patients in the Nationwide Inpatient Sample database who underwent cardiac operations between 1999 and 2010 (3,202,404 before the guidelines and 1,262,612 after). Hierarchical linear modeling was used to account for hospital- and patient-level clustering. RESULTS: Transfusion rates of blood products increased from 13% in 1999 to a peak of 34% in 2010. Use of all blood components increased over the study period. Aortic aneurysm repair had the highest transfusion rate with 54% of patients receiving products in 2010. In coronary artery bypass grafting, the number of patients receiving blood products increased from 12% in 1999 to 32% in 2010. Patients undergoing valvular operations had a transfusion rate of 15% in 1999, increasing to 36% in 2010. Patients undergoing combined operations had an increase from 13% to 40% over 11 years. Risk factors for transfusion were anemia (odds ratio [OR], 2.05; 95% confidence interval [CI], 2.01-2.09), coagulopathy (OR, 1.54; 95% CI, 1.51-1.57), diabetes (OR, 1.32; 95% CI, 1.28-1.36), renal failure (OR, 1.29; 95% CI, 1.26-1.32), and liver disease (OR, 1.23; 95% CI, 1.16-1.31). Compared to the Northeast, the risk for transfusion was significantly lower in the Midwest; higher-volume hospitals used fewer blood products than lower-volume centers. Cell salvage usage remained below 5% across all years. CONCLUSION: Independent of patient- and hospital-level factors, blood product utilization continues to increase for all cardiac operations despite publication of blood conservation guidelines in 2007.
Authors: Ruchika Goel; Eshan U Patel; Jodie L White; Meera R Chappidi; Paul M Ness; Melissa M Cushing; Clifford M Takemoto; Beth H Shaz; Steven M Frank; Aaron A R Tobian Journal: Transfusion Date: 2018-12-12 Impact factor: 3.157
Authors: Nadia B Hensley; Megan P Kostibas; William W Yang; Todd C Crawford; Kaushik Mandal; Pranjal B Gupta; Steven M Frank; Charles H Brown Journal: Transfusion Date: 2017-10-08 Impact factor: 3.157
Authors: Carlos E Arias-Morales; Nicoleta Stoicea; Alicia A Gonzalez-Zacarias; Diana Slawski; Sujatha P Bhandary; Theodosios Saranteas; Eva Kaminiotis; Thomas J Papadimos Journal: F1000Res Date: 2017-02-20
Authors: Dou Huang; Changwei Chen; Yue Ming; Jing Liu; Li Zhou; Fengjiang Zhang; Min Yan; Lei Du Journal: Medicine (Baltimore) Date: 2019-02 Impact factor: 1.817