Skip to main content

The characteristics of blood transfusion and analysis of preoperative factors associated with intraoperative blood transfusion in congenital heart surgery: a case–control study

Abstract

Purpose

Blood 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.

Methods

A 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.

Results

The 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.

Conclusion

Although 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.

Peer Review reports

Introduction

Congenital heart defects (CHDs), also known as congenital heart disease, are birth disorders in the structure of the heart or major vessels; the symptoms can range from nonexistent to life-threatening [1]. CHDs are the most common birth defect and the main cause of birth defect-related deaths [2], and surgery was the primary treatment approach, which included both on-pump and off-pump bypass operations. Off-pump bypass surgery usually does not require open-heart surgeries, but cardiopulmonary bypass surgery (CPB) is always required for cardiac internal malformation surgery, which requires greater blood use than the former [3]. Furthermore, CPB-required congenital heart surgery (CHS) is frequently complicated by coagulopathy, which can result in excessive hemorrhage and blood transfusion [3, 4]. Allogeneic transfusion is frequently required in cardiac surgery, with a prior study indicating overall transfusion rates in excess of 50% [5]. For many years, various models for predicting transfusion requirements in cardiac surgery patients have been available in adults [6, 7]. Operative procedure, surgeon, age, sex, height, weight, body surface area (BSA), hematocrit, presence or absence of diabetes, and albumin levels were identified as predictive factors. Parr performed a multivariate predictor of blood product use in cardiac surgery and stated that increased age and preoperative creatinine level, low body surface area, preoperative hematocrit, nonelective surgery, lower temperature on bypass, and duration of bypass were associated with an increased risk of transfusion of > 2 units (U) of red blood cells (RBCs) [7]. Williams evaluated demographic and perioperative factors to identify variables associated with perioperative blood loss and blood product transfusions in a prospective cohort study of 548 children undergoing open-heart surgery and found that higher preoperative hematocrit, complex surgery, lower platelet count during cardiopulmonary bypass (CPB), and longer duration of deep hypothermic circulatory arrest were significantly associated with bleeding and transfusion, and younger patient age was especially found to be the variable most significantly associated with bleeding and transfusions [8]. The Risk Adjustment for Congenital Heart Surgery (RACHS) method was created to allow a refined understanding of differences in mortality among patients undergoing CHS, as would typically be encountered within a pediatric population [9], which divides anatomic variation into six groups based on age, kind of operation performed, and hospital mortality [10], and it is rarely reported in analyzing the influencing factors of surgical blood use.

Because of the wider ranges of characteristics in children, there has always been uncertainty in blood transfusion and less research in predicting blood transfusion. Furthermore, due to the tiny total blood volume in children, bloodless prefilling is difficult to accomplish during extracorporeal circulation, making pediatric CPB procedures more dependent on allogeneic blood than adult surgeries [11]. According to our hospital's summary of application for blood preparation, children receiving CHS should have RBCs, platelets, and plasma prepared at the blood transfusion department 1–3 days in advance. Although the prepared dosages of blood products were usually adequate prior to most CHSs, a few of them consumed blood products greater than the prepared, particularly in the circumstances of transfused dosages of RBCs over 2 U, which was a study for adults [12]. Studies have shown that overemphasis on the use of blood during CHS is not conducive to the postoperative mental development of children [13]. As a result, how to prepare blood products reasonably for children treated by CHS, particularly for patients with rare blood types at the same time, is a common but challenging issue confronting heart surgeons, anesthesia perfusionists, and blood transfusion technologists.

Methods

This study was designed as a retrospective case–control study, and data from 1,550 children who underwent CHS under CPB (S5, Sorin Group Deutschland GmbH, Germany) using modified ultrafiltration (MUF) perfusion techniques were collected in our hospital between May 2019 and June 2020. The demographic data of patients, as well as other laboratory data, were retrieved from the blood transfusion management system, surgical anesthesia system, and laboratory information system (LIS). We obtained all patients' demographic and procedural data, including sex, age, weight, hemoglobin, RBC counts, hematocrit, platelet counts, white blood cell (WBC) counts, partial thromboplastin time (PT), activated partial thromboplastin time (APTT), albumin (Alb), total protein (TP), and RACHS methods, all of which were performed as independent variables, and intraoperative blood product use was used as a dependent variable. The detailed RACHS categories in this study were listed in Table 1. Suspended RBCs, washed RBCs, and concentrated RBCs are collectively referred to as RBCs (the volumes of 1 U RBCs and 1 U washed RBCs are approximately 150 ml and 130 ml, respectively), fresh frozen plasma and frozen plasma are referred to as plasma (1 U = 100 ml), and apheresis and concentrated platelets are referred to as platelets (the volume of 10 U is approximately 250 ml). All blood products are calculated in international standard units (U). Surgical blood transfusions are defined as blood transfusions given during surgery and prior to returning to the ward. The basic information of the patients, the information of surgical blood preparation and blood use records are complete, and the results of the preoperative laboratory examination are completely recorded. Data validation and integrity will be examined by heart surgeons, anesthetic perfusionists, and blood transfusion physicians to optimize data integrity.

Table 1 Individual procedures by RACHS category

All independent variables were developed as categorical variables, and univariate analysis was conducted using the chi-square test. All significant variables were then included in the multivariate binary logistic regression analysis. The RACHS method was used as multinomial data (RACHS1 was used as the indicator). All statistical analyses were performed using IBM SPSS software (SPSS 20.0, IBM Inc., CA, USA). A two-sided P value < 0.05 was considered significant.

Results

The characteristics of blood transfusion in pediatric CHS under CPB

Among the 1550 cases, 734 male and 816 female cases accounted for 47.4% and 52.6%, respectively. The ages varied from 1 day to 6397 [740.5 (IQR 1084.75) days]. They are classified into two groups based on whether they have used RBCs, platelets, or plasma. Table 2 shows that the total amounts of transfused RBCs, platelets, and plasma were 850.5 U (N = 713, 46%), 159 U (N = 21, 1.4%), 1374.2 U (N = 953, 61.5%), with average volumes of 1.2 U, 7.6 U, 1.4 U, respectively. When the age and frequency association is examined, it is discovered that there is a skewed distribution, with a median of 740.5, 1/4 and 3/4 interquartiles of 284 and 1368.75, respectively (Fig. 1).

Table 2 The characteristics of blood transfusion in pediatric CHS under CPB
Fig. 1
figure 1

The characteristics of blood transfusion in pediatric CHS under CPB

A single-factor study of RBCs, platelets, and plasma transfusion doses in pediatric CHS under CPB

Using chi-square testing, we discovered that weight, age, RACHS method, hemoglobin, RBC counts, Hct, APTT, PT, TP, and ALB all had an effect on the number of RBCs transfused (P < 0.05). Weight, age, RACHS method, hemoglobin, RBC counts, PT, TP, and ALB are all variables that may impact platelet confusion (P < 0.05). Furthermore, sex, weight, age, RACHS method, hemoglobin, RBC counts, HCT, APTT, PT, and TP were statistically significant between whether plasma was used (P < 0.05). The detailed data are shown in Table 3.

Table 3 Single factor analysis of RBCs, platelets, and plasma transfused dosages in pediatric CHS under CPB

Multivariate analysis of the RBC, platelet, and plasma transfusion dosages in pediatric CHS under CPB

We determined whether RBCs, platelets, and plasma were used as dependent variables and then gathered all covariates with a P < 0.05 and entered them into binary logistic regression analysis using the enter method. We still assessed platelet counts while determining whether platelets should be used based on clinical experiments. The factors associated with RBCs transfusion included four variables: age [OR 0.142 (95% CI 0.099–0.203) P < 0.001], weight [OR 0.170 (95% CI 0.111–0.262) P < 0.001], RACHS method [RACHS2 vs. RACHS1 OR 3.444 (95% CI 2.521–4.704) P < 0.001, RACHS3 vs. RACHS1 OR 9.333 (95% CI 4.731–18.412) P < 0.001, RACHS4 vs. RACHS1 OR 31.327 (95% CI 2.916–336.546) P = 0.004], and hemoglobin [OR 0.524 (95% CI 0.315–0.871) P = 0.013]. The factors associated with platelets transfusion included three variables: age [OR 9.911 (95% CI 1.008–97.417) P = 0.049], weight [OR 0.029 (95% CI 0.003–0.300) P = 0.029], and RACHS method [RACHS3 vs. RACHS1 OR 13.001 (95% CI 2.482–68.112) P = 0.002, RACHS4 vs. RACHS1 OR 59.748 (95% CI 6.351–562.115) P < 0.001]. The factors associated with plasma transfusion included five variables: age [OR 0.488 (95% CI 0.352–0.676) P < 0.001], weight [OR 0.252 (95% CI 0.164–0.386) P < 0.001], RACHS method [RACHS2 vs. RACHS1 OR 2.931 (95% CI 2.283–3.764) P < 0.001, RACHS3 vs. RACHS1 OR 10.754 (95% CI 4.751–24.342) P < 0.001], APTT [OR 1.628 (95% CI 1.058–2.503) P = 0.027], and PT [OR 2.174 (95% CI 1.065–4.435) P = 0.033] (detailed in Table 4).

Table 4 Multivariate analysis of RBCs, platelets, and plasma transfused dosages in pediatric CHS under CPB

Comparisons of RBCs, platelets, and plasma used between different RACHS methods

We discovered that the OR values of RACHS methods were the maximum in all variables in RBCs, platelets, and plasma transfusion in the aforementioned results. We compared the transfused dosages in different RACHS methods in different blood products as the outcomes to further reveal the roles of the RACHS method. Among the 1550 instances, 676, 777, 89, and 8 were assigned to the RS1, RS2, RS3, and RS4 categories, respectively. Overall, there has been a tendency that the higher the RACHS grade, the more blood was required. On the transfused RBCs, the comparisons between RS1 versus RS2 and RS2 versus RS3 were statistically significant (P < 0.001), but there was no significant difference between RS3 and RS4 (P = 0.067). Concerning the platelets consumed, the trend was not exactly the same as that of RBCs; the contrast between RS1 and RS2 was not statistically significant (P = 0.092), while those in RS2 versus RS3 and RS3 versus RS4 were significantly different (P < 0.001). Finally, the comparisons on the plasma consumed were similar to those of RBCs, and the differences among RS1 versus RS2 and RS2 versus RS3 were statistically significant (P < 0.001) but not between RS3 and RS4 (P = 0.305). All the data are shown in Fig. 2.

Fig. 2
figure 2

The comparisons of RBCs, platelets, and plasma used across different RACHS methods. A The differences in RBC transfused dosage of RS1 versus RS2 and RS2 versus RS3 were statistically significant, but the comparison between RS3 and RS4 was not. B There was no significant difference in platelet usage between RS1 and RS2, but there were significant differences in RS2 versus RS3 and RS3 versus RS4. C The differences in plasma transfused dosage of RS1 versus RS2 and RS2 versus RS3 were statistically significant, but the comparison between RS3 and RS4 was not. **P < 0.01; ns, no significance

Discussion

Blood transfusion is inevitable for many difficult surgeries, although there are numerous potential adverse blood transfusion reactions, including nonhemolytic fever reactions, allergic reactions, and hemolytic reactions [14]; at the same time, the inhibition of cellular immune function caused by blood transfusion increased the risk of nosocomial infection [15]; infusion of RBCs with different storage times is also closely related to patient prognosis [16,17,18]. It is also critical for infants with CHD because the ratio of extracorporeal circulation pipeline precharge to infants’ blood volume is larger, and a certain number of RBCs must be precharged to maintain a satisfactory Hct during extracorporeal circulation operation, which increases infants’ reliance on blood transfusion under CPB [19]. It has been shown that there is a significant correlation between the amount of blood transfusions and the prognosis of children with CHD [20, 21]. Therefore, it is extremely beneficial for patients to carry out intraoperative blood transfusions scientifically and reasonably, and the establishment of an ideal preoperative blood reserve system is the foundation for accomplishing the above objectives, which include effective blood protection techniques, correction of preoperative anemia, improvement of coagulation, reduction of intraoperative bleeding, autotransfusion, and reduction of heterotransfusion.

We studied the general characteristics of patients and the results of preoperative laboratory tests, as well as the factors influencing blood use, based on intraoperative blood transfusions of patients undergoing CHS under CPB in our hospital. The research revealed that the majority of patients undergoing CHS were under 2 years, particularly those aged 0–1 year, which is consistent with previous data [22]. Following the previous analysis, the chi-square test was employed as a single factor analysis to filter the significant variables, and binary logistic regression analysis was performed as a multivariate analysis. The results showed that age, weight, RACHS method, and preoperative hemoglobin were the influencing factors for transfusing RBCs; age, weight, and RACHS method were the influencing factors for platelets transfusion; and age, weight, RACHS method, APTT, and PT were the influential factors for plasma infusion. There was an interesting result in that platelet counts did not differ significantly between whether or not to transfuse platelets, which may be attributed to preoperative management, and we further analyzed the differences using the independent-samples t test, which similarly yielded no significance (shown in Additional file 1). In a study evaluating blood for coronary artery bypass surgery, Ian Welsby reported that sex was an influential factor [12], although the result was not the same as in this study. Following up on the previous findings, we compared the transfused dosages of RBCs, platelets, and plasma across RACHS methods. The 1550 cases collected in this study were from RACHS methods 1–4, with no data from methods 5–6. Some studies have shown that intraoperative hemorrhage is an influential factor in intraoperative blood transfusion [12, 23], which is associated with complex surgery. In this study, blood transfusion dosages increased as the RACHS grade increased. However, due to a lack of RACHS methods in 5–6 cases, it is unclear whether the dosage of these three blood components will continue to rise.

In the introduction, we discussed the fact that the actual amount of blood used in some surgeries is greater than the amount prepared. This phenomenon is most common in more complicated surgeries, and it is caused by a lack of assessment of the complexity of the surgery and uncontrollable changes during the procedure. In this study, we found that the RACHS method is a key factor affecting the volume of intraoperative blood transfused, and it could even be said to be the most important factor, so it should be considered first in clinical blood preparation. Especially for surgeries with higher RACHS grades, the blood reserve volume can be appropriately increased in clinical practice. The second question we should focus on is the comparison of restrictive and liberal blood transfusions during CHS. According to Matthias Redlin, blood transfusion in pediatric cardiac surgery determines postoperative morbidity by comparing mechanical ventilation, intensive care unit stay, and cardiopulmonary time in the no transfusion, postoperative transfusion only, and intraoperative transfusion groups [24], and these findings may encourage attending physicians to implement stringent blood-sparing approaches. Similar findings were also reported in another study in which RBCs transfusions were associated with prolonged mechanical ventilation in children with acute respiratory distress syndrome [23]. However, Jean A Ballweg announced that an overemphasis on the use of blood during CHS is not conducive to the postoperative mental development of children [13]. As a result, whether patients who receive CHS should perform a liberal or restrictive blood transfusion strategy is still not well known, a topic on which more technologists and cardiologists need to focus.

Availability of data and materials

The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.

References

  1. Dolbec K, Mick NW. Congenital heart disease. Emerg Med Clin N Am. 2011;29(4):811–27.

    Article  Google Scholar 

  2. Collaborators GBoDS. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386(9995):743–800.

    Article  Google Scholar 

  3. Karkouti K, Arellano R, Aye T, Dupuis J-Y, Kent B, Lee TWR, et al. Off-label use of recombinant activated factor VII in surgical and non-surgical patients at 16 Canadian hospitals from 2007 to 2010 (Canadian Registry Report). Can J Anesth. 2014;61(8):727–35.

    Article  Google Scholar 

  4. Ferraris VA, Brown JR, Despotis GJ, Hammon JW, Reece TB, Saha SP, et al. Update to the society of thoracic surgeons and the society of cardiovascular anesthesiologists blood conservation clinical practice guidelines. Ann Thorac Surg. 2011;91(3):944–82.

    Article  Google Scholar 

  5. Geissler RG, Rotering H, Buddendick H, Franz D, Bunzemeier H, Roeder N, et al. Utilisation of blood components in cardiac surgery: a single-centre retrospective analysis with regard to diagnosis-related procedures. Transfus Med Hemother. 2015;42(2):75–82.

    Article  Google Scholar 

  6. Moskowitz DM, Klein JJ, Shander A, Cousineau KM, Goldweit RS, Bodian C, et al. Predictors of transfusion requirements for cardiac surgical procedures at a blood conservation center. Ann Thorac Surg. 2004;77(2):626–34.

    Article  Google Scholar 

  7. Parr KG, Patel MA, Dekker R, Levin R, Glynn R, Avorn J, et al. Multivariate predictors of blood product use in cardiac surgery. J Cardiothorac Vasc Anesth. 2003;17(2):176–81.

    Article  Google Scholar 

  8. Williams GD, Bratton SL, Ramamoorthy C. Factors associated with blood loss and blood product transfusions: a multivariate analysis in children after open-heart surgery. Anesth Analg. 1999;89(1):57–64.

    CAS  Google Scholar 

  9. Jenkins KJ. Risk adjustment for congenital heart surgery: the RACHS-1 method. Semin Thorac Cardiovasc Surg Pediatr Card Surg Annu. 2004;7:180–4.

    Article  Google Scholar 

  10. Jenkins KJ, Gauvreau K, Newburger JW, Spray TL, Moller JH, Iezzoni LI. Consensus-based method for risk adjustment for surgery for congenital heart disease. J Thorac Cardiovasc Surg. 2002;123(1):110–8.

    Article  Google Scholar 

  11. Singh SP. Strategies for blood conservation in pediatric cardiac surgery. Ann Card Anaesth. 2016;19(4):705–16.

    Article  Google Scholar 

  12. Welsby I, Crow J, Bandarenko N, Lappas G, Phillips-Bute B, Stafford-Smith M. A clinical prediction tool to estimate the number of units of red blood cells needed in primary elective coronary artery bypass surgery. Transfusion. 2010;50(11):2337–43.

    Article  Google Scholar 

  13. Ballweg JA, Wernovsky G, Gaynor JW. Neurodevelopmental outcomes following congenital heart surgery. Pediatr Cardiol. 2007;28(2):126–33.

    Article  Google Scholar 

  14. Moncharmont P. Adverse transfusion reactions in transfused children. Transfus Clin Biol. 2019;26(4):329–35.

    Article  CAS  Google Scholar 

  15. Raghavan M, Marik PE. Anemia, allogenic blood transfusion, and immunomodulation in the critically ill. Chest. 2005;127(1):295–307.

    Article  Google Scholar 

  16. Koch CG, Li L, Sessler DI, Figueroa P, Hoeltge GA, Mihaljevic T, et al. Duration of red-cell storage and complications after cardiac surgery. N Engl J Med. 2008;358(12):1229–39.

    Article  CAS  Google Scholar 

  17. Koch CG, Sessler DI, Duncan AE, Mascha EJ, Li L, Yang D, et al. Effect of red blood cell storage duration on major postoperative complications in cardiac surgery: a randomized trial. J Thorac Cardiovasc Surg. 2020;160(6):1505-14.e3.

    Article  Google Scholar 

  18. Bishnoi AK, Garg P, Patel K, Ananthanarayanan C, Shah R, Solanki A, et al. Effect of red blood cell storage duration on outcome after paediatric cardiac surgery: a prospective observational study. Heart Lung Circ. 2019;28(5):784–91.

    Article  Google Scholar 

  19. Wang L, Chen Q, Qiu YQ, Ye JX, Du JZ, Lv XC, et al. Effects of cardiopulmonary bypass with low-priming volume on clinical outcomes in children undergoing congenital heart disease surgery. J Cardiothorac Surg. 2020;15(1):1–9.

    Article  Google Scholar 

  20. Santos AA, Sousa AG, Piotto RF, Pedroso JC. Mortality risk is dose-dependent on the number of packed red blood cell transfused after coronary artery bypass graft. Rev Bras Cir Cardiovasc. 2013;28(4):509–17.

    Article  Google Scholar 

  21. Wu T, Liu J, Wang Q, Li P, Shi G. Superior blood-saving effect and postoperative recovery of comprehensive blood-saving strategy in infants undergoing open heart surgery under cardiopulmonary bypass. Medicine (Baltimore). 2018;97(27):e11248.

    Article  Google Scholar 

  22. Che J, Shen X, Chang Y. Study on the infuence factors of blood transfusion in chlidren with congential heart disease. Chin J Blood Transfus. 2017;30(6):614–6.

    CAS  Google Scholar 

  23. Zubrow ME, Thomas NJ, Friedman DF, Yehya N. RBC transfusions are associated with prolonged mechanical ventilation in pediatric acute respiratory distress syndrome. Pediatr Crit Care Med. 2018;19(2):e88–96.

    Article  Google Scholar 

  24. Redlin M, Kukucka M, Boettcher W, Schoenfeld H, Huebler M, Kuppe H, et al. Blood transfusion determines postoperative morbidity in pediatric cardiac surgery applying a comprehensive blood-sparing approach. J Thorac Cardiovasc Surg. 2013;146(3):537–42.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

MY, JJ and XC designed the study, BC collected the original data from the case history system, and MY organized the data and drafted the manuscript. MY, TZ and JX analyzed the data. All authors have read and approved the final manuscript as submitted.

Corresponding author

Correspondence to Xue-jun Chen.

Ethics declarations

Ethics approval and consent to participate

This was a retrospective, single-center study, all usage data were anonymous, the requirement for informed consent was waived, and the study was conducted in accordance with the Declaration of Helsinki and with approval from the Ethics Committee of The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health (Approval Number 2021-IRB-226).

Consent for publication

Not applicable.

Competing interests

No financial or nonfinancial benefits have been received or will be received from any party related directly or indirectly to the subject of this article.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

The comparison of platelet counts between platelets transfused and untransfused.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Yin, Mw., Chen, Bh., Chen, Xj. et al. The characteristics of blood transfusion and analysis of preoperative factors associated with intraoperative blood transfusion in congenital heart surgery: a case–control study. J Cardiothorac Surg 17, 337 (2022). https://doi.org/10.1186/s13019-022-02068-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13019-022-02068-2

Keywords

  • Congenital heart surgery
  • Preoperative factors
  • Intraoperative blood transfusion