[Analysis of Clinical Blood Use in Emergency Blood Loss Patients]

Abstract

Objective: To explore the blood transfusion data of emergency hemorrhage patients, so as to provide the basis for improving the quality of emergency blood transfusion and guiding clinic rational blood transfusion.

Methods: one thousand emergency blood loss patients once transfused RBC suspension were collected by Recipient Epidemiology and Donor Evaluation Study-III internationals Site range from November 2012 to November 2015. The clinical data including age, sex, clinical diagnosis etc were analyzed retrospectively. According to the quantity of blood transfusion the 1 000 patients were divided into 3 groups: low transfusion volume group(834),moderate transfusion volume group(116) and high transfusion volume group(50), difference was compared among the 3 groups，the transfusion predicting index and risk factor were analyzed by unvariate and multivoriate analyses using SPSS 23.0 software.

Results: High volume transfusion group was different from moderate and low volume transfusion in sex, pathogenesis, systolic pressure, hemoglobin level, with or without surgical operation, infusion volume of blood products, the retention time of ICU, total hospitalzed stay and mortality(P＜0.05), but there were no differences in age, respiration frequency, temperature before transfusion and creatinine level. The multivarate analysis showed that with or without surgical operation(OR=7.515，95% CI: 3.289-17.174, P=0.000), bleeding volume in surgery(OR=2.626, 95% CI: 1.428-4.828, P=0.043), the amount of transfused red blood cells(OR=2.574, 95% CI: 1.306-5.073, P=0.015), plasma transfusion or no(OR=2.118, 95% CI: 1.184-3.789, P=0.011), cryoprecipitate transfusion or no(OR=5.296, 95% CI: 2.164-12.960, P=0.000) were the independent risk factors for death resulted from emergency blood loss.

Conclusion: The probability of massive transfusion in the trauma patients is higher，and the massive transfusion associates with increased mortality in the emergency blood loss patients. Surgery operation, bleeding volume in operation, amount of transfused red blood cells, plasma transfusion and cryoprecipitate transfusion may predict the mortality of patients with blood transfusion.