关键词: 智能配血系统, Rh血型, 信息化, 临床输血

Abstract: Objectives To evaluate the application of intelligent blood cross-matching system in improving Rh compatibility transfusion. Methods A retrospective analysis was conducted to review red blood cell transfusion in our hospital. Patients in 2022 and 2023 was used as the experimental group, patients in 2020 and 2021 as the control group. The intelligent blood cross-matching system was used for maximizing Rh five antigens cross-matching for transfusion. ABO blood group, red blood cell irregular antibodies, and Rh (D, C, E, c, e) antigen were detected. The distribution characteristics of Rh antigen phenotypes and antigen frequency were analyzed. The proportion of Rh phenotype matching for transfusion between blood donors and patients was summarized. The composition of irregular antibodies and Rh antibodies were also analyzed. Results The most common phenotype in RhD-positive patients was CCee, and RhD-negative phenotype was ccee. The results of antigen frequency showed that D antigen frequency was the highest 99.55% and E antigen frequency was the lowest 49.30%. The frequency of D gene was 99.55%, and E gene was 28.66%. Based on data of Rh five-antigen cross-matching for transfusion in different scores over the years, the matching rate above 90 points increased year by year, there was a significant difference compared with the control group. The other scores showed a decreased trend. In the composition of irregular antibodies, the proportion of Rh antibodies continued to decrease, with anti-E being the most common, followed by anti-Ce. Conclusion The use of intelligent blood cross-matching system to facilitate Rh five-antigen cross-matching for transfusion not only reduces the probability of antibody production, but also enhances transfusion safety. It improves the effectiveness of transfusion therapy by reducing the ineffectiveness of infusion.

Key words: Intelligent blood cross-matching system, Rh blood group, Informatization, Clinical blood transfusion