【Objective】 To establish the multiple regression equation based on R language in order to guide scientific and reasonable blood preparation for clinicians before liver transplantation. 【Methods】 Basic clinical information, including gender, age and disease types, of 183 liver transplant patients were collected, and results of preoperative blood routine(MCV, MCHC, Hct, RBC, Hb and Plt), prothrombin time(PT), activated partial thromboplastin time(APTT), thrombin time(TT), fibrinogen(FIB), international normalized ratio(INR) and D dimer and antithrombin Ⅲ(AT Ⅲ), operation time, as well as intraoperative transfusion volume of red blood cells, plasma, cryoprecipitates and platelets were analyzed using R language analysis.The correlation between blood component transfusion volume and analysis factors was calculated by generalized linear function, and the regression equation for predicting blood preparation was obtained by Poisson regression analysis. 【Results】 Intraoperative transfusion rates of RBC, plasma, platelets and cryoprecipitates in liver transplantation patients were 85.79%(8.35±8.78 U), 100%(1 083±742.80 mL), 18.58%(0.26±0.60 treatment dose), and 12.02%(2.49±7.51 U), respectively. According to the analysis factors with good correlation, the prediction equations for the volume of each blood component were as follows: RBC: 3.348+ 1.276×Time-0.02×Hct-0.16×RBC-0.006×Hb, plasma: 6.901+ 0.826 ×Time-0.003×Hb, platelets: -1.275+ 1.866×Time-0.013 Hb+ 0.025×TT, and cryoprecipitates: -7.183+ 2.888×Time + 0.067×MCV+ 0.029×TT. 【Conclusion】 It is of great clinical significance to use R language to carry out multivariate regression analysis and establish the prediction regression equation of blood preparation before liver transplantation, which can provide scientific, reasonable and sufficient blood supply in operation.

【Objective】 To investigate the profile of Rh blood group antigen in pregnant women and hemolytic disease of the newborn (HDN) in Qingdao area. 【Methods】 10 597 pregnant women admitted in our hospital during October 2016 to February 2020 were selected and the ABO, Rh blood group system antigen (D, C, c, E, e) and the irregular antibody were detected, and positive antibody was further identified. The irregular antibody of Rh blood group in pregnant women was statistically analyzed according to the history of blood transfusion and pregnancy. Twelve HDN cases were studied, and the results of ABO, Rh blood group antigen and irregular antibody, antibody property identification, HDN test and blood routine test were retrospectively analyzed. 【Results】 Among 10 513 cases of Rh-positive pregnant women, the common phenotype was CCee>CcEe>Ccee>ccEE>ccEe; among 84 cases of Rh-negative pregnant wome, the common phenotype was ccee>Ccee> CCee> ccEE>ccEe. The positive rate of irregular antibody was 1.06% (112/10597) in 10 597 pregnant women, of which the Rh antibody was the highest, rated at 56.25% (63/112). For 64 pregnant women with positive antibodies, antibodies against Rh system were different from those against other systems when stratified by the history of blood transfusion (P<0.05) and pregnancy (P<0.05). Twelve neonates were diagnosed with Rh-HDN, with IgG anti-E in 6 cases, IgG anti-D 3, IgG anti-cE 1, IgG anti-C 1and IgG anti-c 1. Among them, 3 were seriously ill and treated with blood exchange. 【Conclusion】 As two-child policy was implemented, the incidence of Rh HDN had increased. ABO, RhD, C, c, E and e matched transfusion should be administered for women at childbearing age. Meanwhile, clinical termination of delivery was recommended for pregnant women, who probably develop Rh-HDN and are with critical situation. Rh phenotype matched fresh blood should be prepared, which has great clinical significance for rescuing newborns.

【Objective】 To investigate the distribution characteristics of Rh blood group antigen phenotypes, haplotypes and irregular antibodies between patients in our hospital and local blood donors, so as to ensure safe and effective blood transfusion and improve the rationality and scientificity of clinical blood transfusion. 【Methods】 A total of 113 326 blood samples, from hospitalized patients in our hospital and local blood donors from October 2015 to March 2020, were subjected to Rh antigen typing and irregular antibody detection. The frequency of Rh phenotypes, haplotypes, and irregular antibodies were retrospectively analyzed and calculated. Chi square test was used to compare the data among different population groups. Rh antigen typing and irregular antibody detection were completed using the automatic blood group analyzer. 【Results】 The prevalence of negative RhD was 0.36% (408/113 326). The most prevalent Rh phenotype was DCCee [40.69%(46 112/ 113 326)] followed by DCcEe [36.82%(41 727/ 113 326)]. Anti-E was the most common irregular antibody, accounting for [0.26%(295/ 113 326)], and DCe [62.51%(70 840/ 113 326)] was the most common haplotype. The most common Rh phenotypes and haplotypes in Caucasians in Germany, North Indian and North African were DCcee, DCCee and Dccee, while DCe, DCe and Dce, respectively. 【Conclusion】 The distribution characteristics of Rh phenotypes, haplotypes and irregular antibodies of patients in our hospital and local blood donors were in line with the distribution characteristics of the population in northern China. Corresponding plans concerning blood storage and collection, as well as the establishment of Rh blood type registry should be carried to effectively ensure the safety, rationality and accuracy of clinical blood transfusion.

【Objective】 To explore the application of capillary ultracentrifugation technology in accurate identification of Rh phenotype and clinical blood transfusion. 【Methods】 132 samples, presenting mixed field agglutination during Rh phenotyping in our laboratory from May 2019 to February 2020, were separated using capillary ultracentrifugation technology, and the proximal and distal red blood cells were taken for Rh phenotype test, and then blood donors with the same Rh phenotype as the proximal cells were selected for cross matching. 【Results】 132 samples were subjected to capillary ultracentrifugation, and new red blood cells were successfully isolated from the proximal side in 128 (96.97%)cases, and the Rh phenotype was accurately identified, i.e. CcDEe in 47 cases (36.72%), CcDee in 12(9.38%). ), ccDEEin 11 (8.59%), CCDee in 52(40.63%), ccDEe in 5 (3.91%), and ccDee in 1(0.78%). 4 cases of mixed field reaction remained after centrifugation, and all of them had a history of blood transfusion within 2 days. For the 128 patients whose Rh phenotype was accurately identified, blood donors with the same type of Rh phenotype were selected, and 4 patients whose Rh phenotype could not be determined, donors with CCDee phenotype were selected based on the frequency of phenotype distribution and the principle of reducing antigen exposure. The cross-matched blood of all patients were consistent. 【Conclusion】 Capillary ultracentrifugation technology can effectively separate the new red blood cells, improve the accurate identification of Rh phenotype, and provide safety guarantee for clinical targeted blood transfusion.