Journal of Cardiothoracic Surgery | |
The characteristics of blood transfusion and analysis of preoperative factors associated with intraoperative blood transfusion in congenital heart surgery: a case–control study | |
Research | |
Tao Zhang1  Ming-wei Yin2  Jun Xu2  Xue-jun Chen2  Jie Jin3  Bao-hai Chen4  | |
[1] Blood Transfusion Department, Tai’an City Central Hospital, Taian, Shandong Province, People’s Republic of China;Blood Transfusion Department, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333, Binsheng Rd, Binjiang District, 310052, Hangzhou, Zhejiang Province, People’s Republic of China;Cardiac Surgery, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang Province, People’s Republic of China;Information Center, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang Province, People’s Republic of China; | |
关键词: Congenital heart surgery; Preoperative factors; Intraoperative blood transfusion; | |
DOI : 10.1186/s13019-022-02068-2 | |
received in 2022-05-03, accepted in 2022-12-09, 发布年份 2022 | |
来源: Springer | |
【 摘 要 】
PurposeBlood transfusion is a common and life-saving procedure in congenital heart surgery (CHS), and it is critical for patients to identify risk factors prior to surgery. Our objective is to conduct an analysis of the preoperative factors that influence blood use during CHS and to offer guidance on preoperative blood preparation.MethodsA total of 1550 cases were retrospectively analyzed in our institution between May 2019 and June 2020. We determined whether to employ red blood cells (RBCs), platelets, and plasma as dependent variables; we treated the data from characteristics and laboratory tests as binary data, except for the Risk Adjustment for Congenital Heart Surgery (RACHS) methods as multinomial data, and finally taken into binary logistic regression analysis.ResultsThe total amounts of transfused RBCs, platelets, and plasma were 850.5 U (N = 713, 46%), 159 U (N = 21, 1.4%), and 1374.2 U (N = 953, 61.5%), respectively. Multivariate analysis found age (OR 0.142, 95% CI 0.099–0.203, P < 0.001), weight (0.170, 0.111–0.262, P < 0.001) RACHS method (RACHS2 vs. RACHS1, 3.444, 2.521–4.704, P < 0.001; RACHS3 vs. RACHS1, 9.333, 4.731–18.412, P < 0.001; RACHS4 vs. RACHS1, 31.327, 2.916–336.546, P = 0.004), and hemoglobin (0.524, 0.315–0.871, P = 0.013) to be independent risk predictors of RBC transfused volume; age (9.911, 1.008–97.417, P = 0.049), weight (0.029, 0.003–0.300, P = 0.029), RACHS method (RACHS3 vs. RACHS1, 13.001, 2.482–68.112, P = 0.002; RACHS4 vs. RACHS1, 59.748, 6.351–562.115, P < 0.001) to be platelets; and age (0.488, 0.352–0.676, P < 0.001), weight (0.252, 0.164–0.386, P < 0.001), RACHS method (RACHS2 vs. RACHS1, 2.931, 2.283–3.764, P < 0.001; RACHS3 vs. RACHS1, 10.754, 4.751–24.342, P < 0.001), APTT (1.628, 1.058–2.503, P = 0.027), and PT (2.174, 1.065–4.435, P = 0.033) to be plasma.ConclusionAlthough patients' age, weight, routine blood test, coagulation function, and protein levels should all be considered for preparing blood before CHS, the RACHS method is the most important factor influencing intraoperative blood transfused volume and should be considered first in clinical blood preparation.
【 授权许可】
CC BY
© The Author(s) 2022
【 预 览 】
Files | Size | Format | View |
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RO202305064272871ZK.pdf | 903KB | download | |
13690_2022_1011_Article_IEq1.gif | 1KB | Image | download |
12936_2022_4386_Article_IEq117.gif | 1KB | Image | download |
Fig. 2 | 970KB | Image | download |
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Fig. 2
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