Chinese Journal of Tissue Engineering Research ›› 2015, Vol. 19 ›› Issue (53): 8537-8542.doi: 10.3969/j.issn.2095-4344.2015.53.002

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The establishment of allogeneic blood transfusion prediction model and precise detection after total knee arthroplasty

Zhou Zhi-guo, Fang Guang-wen, Zhang Ying-jian, Lv Ting-zhuo, Shang Fu-qing, Wang Shu-ping,
Duan Shao-hua   

  1. Department of Orthopaedics, Baodi Clinical College of Tianjin Medical University, Tianjin 301800, China
  • Received:2015-10-31 Online:2015-12-24 Published:2015-12-24
  • Contact: Fang Guang-wen, Master, Associate chief physician, Department of Orthopaedics, Baodi Clinical College of Tianjin Medical University, Tianjin 301800, China
  • About author:Zhou Zhi-guo, Master, Associate chief physician, Department of Orthopaedics, Baodi Clinical College of Tianjin Medical University, Tianjin 301800, China

Abstract:

BACKGROUND: How to effectively reduce allogeneic blood transfusion volume after knee arthroplasty has become a new clinical problem, but predictors of perioperative blood loss and allogenic blood transfusion after replacement have not been well defined.
OBJECTIVE: To establish the prediction model of allogeneic transfusion volume after total knee arthroplasty by analyzing the preoperative and intraoperative related factors that influence the postoperative allogeneic transfusion volume, so as to provide a theoretical basis for the clinical selective application of the autologous blood retransfusion device.

 

METHODS: The materials of 120 postoperative allogenic transfusion patients who treated with unilateral total knee arthroplasty at Baodi Clinical College of Tianjin Medical University from January 2012 to December 2013 were retrospectively analyzed. Each patient’s gender, age, height, body weight, preoperative hemoglobin value, operation time, intraoperative blood loss volume and postoperative allogeneic transfusion volume were recorded in detail, and accordingly a prediction model of allogeneic transfusion volume was established after total knee arthroplasty. From January 2014 to December 2014, we applied this model in clinic. A total of 90 patients who predicted need for allogeneic transfusion after unilateral total knee arthroplasty were randomly divided into two groups. Autologous blood retransfusion device was used in the observation group. Conventional drainage was used in the control group. The blood transfusion volume of patients in these two groups was analyzed, and the prediction accuracy of the prediction model in these two groups was detected.

RESULTS AND CONCLUSION:All patients completed the experimental observation. Pearson analysis showed that the patient’s age, height, body weight, preoperative hemoglobin values, operation time and intraoperative blood loss volume associated with postoperative allogeneic transfusion volume (P < 0.01). Multivariate regression analysis showed that the patient’s preoperative hemoglobin values, operation time and intraoperative blood loss volume associated with postoperative allogeneic transfusion volume (P < 0.01). Clinical application test results showed that the postoperative allogeneic transfusion volume in observation and control groups was respectively (611.30±191.14) mL and (571.55±200.53) mL, prediction accuracy was respectively (71.50±22.20)% and (70.94±19.23)%, the difference was not significant (P > 0.05). There were significant differences in allogeneic transfusion volume and total blood transfusion volume (including autologous and allogeneic blood transfusion volume) of patients in these two group (P < 0.01). The allogeneic transfusion volume in the observation group was significantly lower than that in the control group. These results suggest that the prediction model can successfully predict the allogeneic transfusion volume after total knee arthroplasty. The application of autologous blood retransfusion device in those patients who predicted need for postoperative allogenic transfusion after the replacement can effectively reduce the allogenic transfusion volume.  

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