孕妇输血后不良反应的影响因素及预测模型构建与分析
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四川省绵阳市卫生健康委课题(201984)


The influencing factors and prediction model construction and analysis of adverse reactions in pregnant women after blood transfusion
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    目的 探讨孕妇输血后不良反应的影响因素及预测模型的构建。方法 纳入我院2021年1月—2022年12月输血前使用不规则抗体筛查(IAS)和2019年1月—2020年12月输血前未使用IAS的有输血记录的孕妇3 960例,按照输血后是否发生过敏、溶血等不良反应分为发生组(n=80)和未发生组(n=3 880),获取所有患者的基本信息及临床资料,利用Logistic回归分析筛选孕妇输血后发生不良反应的独立危险因素,并采用R软件建立列线图预测模型,同时考察输血前行IAS对输血不良反应的影响。结果 发生输血不良反应孕妇共80例(2.02%),其中过敏反应45例(1.14%)、发热反应27例(0.68%)、迟发性溶血反应8例(0.20%)。通过对两组患者一般临床资料行Logistic回归分析可知,年龄、输血史、输血次数、血液成分、输血量、IAS为孕妇输血后发生不良反应的独立危险因素(P<0.05),均与孕妇输血后发生不良反应高度相关。基于年龄、输血史、输血次数、血液成分、输血量、IAS 6项孕妇输血后发生输血不良反应(BTAR)的独立危险因素,建立列线图预测模型,C-index指数高达0.850(95%CI:0.808~0.892),预测效能良好。同时,结果还显示,使用IAS组较未使用IAS组孕妇过敏、发热、迟发性溶血等BTAR发生率明显降低(P<0.05)。结论 对进行输血的孕妇,提高IAS筛查率,以降低孕妇输血后不良反应风险,及时考虑高龄、存在输血史、输血次数、血液成分和输血量等因素,采用列线图个体化预测输血孕妇的概率,具有较高的应用前景

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    Objective To explore the establishment of an individualized prediction model for the risk of adverse reactions in pregnant women after blood transfusion using column charts.Methods 3 960 pregnant women with blood transfusion records who underwent irregular antibody screening(IAS) before blood transfusion from January 2021 to December 2022 and those who did not undergo IAS before blood transfusion from January 2019 to December 2020 were divided into an occurrence group and a non-occurrence group according to whether adverse reactions such as allergies and hemolysis occurred after blood transfusion. Basic information and clinical data of all patients were retrieved, and logistic regression analysis was used to screen independent risk factors for adverse reactions in pregnant women after blood transfusion. A column chart prediction model was established using R software, and the effect of IAS before blood transfusion on adverse reactions was examined. Results A total of 80 cases (2.02%) experienced adverse reactions to blood transfusion, including 45 cases (1.14%) of allergic reactions, 27 cases(0.68%) of febrile reactions, and 8 cases (0.20%) of delayed hemolytic reactions. Through logistic regression analysis of general clinical data of two groups of patients, it was found that age, history of blood transfusion, frequency of blood transfusion, blood composition, transfusion volume, IAS were independent risk factors for adverse reactions in pregnant women after blood transfusion (P<0.05), all of which were highly correlated to the incidence of adverse reactions. A column chart prediction model was established based on six independent risk factors for BTAR in pregnant women after blood transfusion, including age, transfusion history, transfusion frequency, blood composition, transfusion volume, and IAS. The C-index was as high as 0.850(95% CI: 0.808-0.892), indicating good predictive performance. At the same time, the results also showed that the incidence of BTAR, such as allergies and fever, was significantly reduced in pregnant women who used IAS compared to those who did not use IAS(P<0.05).Conclusion IAS screening should be performed on pregnant women who are elderly, having a history of blood transfusion, a high frequency of blood transfusion, a high blood composition and volume, in order to reduce the risk of adverse reactions after blood transfusion

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陈雪梅,贺小艳,唐华.孕妇输血后不良反应的影响因素及预测模型构建与分析[J].西部医学,2025,37(10):1539-1543.

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  • 在线发布日期: 2025-10-20
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