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Lu L, Che J, Xie W, Cheng W, Yang Z, Dong R, Huang J, Lu J. Adjusted preoperative variables to predict perioperative red blood cell transfusion in coronary artery bypass grafting. Gen Thorac Cardiovasc Surg 2020; 68:1377-1387. [PMID: 32418192 DOI: 10.1007/s11748-020-01386-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 05/01/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND The variables for predicting blood transfusion perioperatively are not completely clear in coronary artery bypass grafting (CABG) patients. OBJECTIVES To construct a comprehensive model to predict perioperative RBC transfusion in patients undergoing isolated CABG using adjusted preoperative variables. METHODS Perioperative data of 1253 patients who underwent isolated CABG by the same surgical team were collected from April 2018 to March 2019. Logistic regression analyses were used to establish equations to construct two models for predicting intraoperative and postoperative RBC transfusions, respectively. All significant variables included in the two models were combined to form a comprehensive model to predict perioperative RBC transfusion. Area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the discriminatory power of the models. RESULTS The total RBC transfusion rate for CABG patients during hospitalization was 29.05%. The rate of intraoperative and postoperative RBC transfusions was 6.9% and 26.7%, respectively. Eight variables in a total of 30 risk factors constituted the intraoperative prediction model, 12 variables constituted the postoperative prediction model, and 13 variables for the combined model. The AUC of the three models were 0.87, 0.82, and 0.83, respectively, demonstrating moderate discriminatory power for RBC transfusion during the intraoperative, postoperative, and perioperative periods. CONCLUSION The comprehensive model combined with all variables of predicting intraoperative and postoperative RBC transfusion is feasible for predicting perioperative RBC transfusion.
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Affiliation(s)
- Liangyuan Lu
- Department of Anesthesiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 An Zhen Road, Chaoyang District, Beijing, 100029, Beijing, China
- Department of Anesthesiology, Aerospace Center Hospital, Beijing, China
| | - Ji Che
- Department of Transfusion, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, China
| | - Weiping Cheng
- Department of Anesthesiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 An Zhen Road, Chaoyang District, Beijing, 100029, Beijing, China
| | - Zhanmin Yang
- Department of Anesthesiology, Aerospace Center Hospital, Beijing, China
| | - Ran Dong
- Department of Cardiac Surgery, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Jiapeng Huang
- Department of Anesthesiology and Perioperative Medicine, University of Louisville, 530 South Jackson Street, Louisville, KY, 40202, USA.
| | - Jiakai Lu
- Department of Anesthesiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 An Zhen Road, Chaoyang District, Beijing, 100029, Beijing, China.
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Madias JE. Readers' Comments: Aspirin and/or Other Antiplatelet Agents for the Prevention of Infective Endocarditis. Am J Cardiol 2020; 125:1450-1451. [PMID: 32151433 DOI: 10.1016/j.amjcard.2020.01.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Accepted: 01/29/2020] [Indexed: 11/27/2022]
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