基于关联规则分析的献血相关迷走神经反应影响因素研究  

Study on the Influencing Factors of Donation Related Vasovagal Reaction Based on Association Rule Analysis

作　　者：孟立宁 杨琪 田龙 MENG Li-Ning;YANG Qi;TIAN Long(Zhangjiakou Central Blood Station,Zhangjiakou 075000,HebeiProvince,China)

机构地区：[1]张家口市中心血站,河北张家口075000

出　　处：《中国实验血液学杂志》2025年第1期230-235,共6页Journal of Experimental Hematology

基　　金：河北省卫生健康委医学科学研究课题计划(20211263)。

摘　　要：目的:以Logistic回归分析为参考,对献血相关迷走神经反应(DRVR)影响因素行关联规则分析并评价其结果的临床价值。方法:筛选2019年6月至2021年6月张家口市中心血站无偿献血者10 000例,收集其基线资料进行回顾性研究。将献血者分为发生DRVR的试验组(n=386)和未发生DRVR的对照组(n=9 614)。对全部献血者行Logistic回归分析,预测导致DRVR的独立风险因素。对试验组行关联规则分析,计算包含DRVR的有效强关联规则。以Logistic回归分析预测为参考,评价关联规则分析结果。结果:Logistic回归分析预测显示,年龄20-29岁、性别(女)、BMI(≤18 kg/m^(2))、血压(偏低)、血红蛋白水平(偏低)均为导致DRVR的独立风险因素(P<0.05)。包含DRVR的有效强关联规则共8项:二项规则分别为“年龄(20-29岁)、DRVR”、“性别(女)、DRVR”、“BMI(≤18 kg/m^(2))、DRVR”、“血压(偏低)、DRVR”、“血红蛋白水平(偏低)、DRVR”;三项规则分别为“年龄(20-29岁)、性别(女)、DRVR”、“BMI(≤18 kg/m^(2))、血压(偏低)、DRVR”、“BMI(≤18 kg/m^(2))、献血量(400 mL)、DRVR”。关联规则分析中二项规则结果涵盖了导致DRVR的全部独立风险因素和相似的DRVR发生率变化,三项规则结果确定了DRVR高危群体范围。结论:相较于Logistic回归分析,关联规则分析结果更具临床价值,为进一步提高DRVR预测准确度提供了方法参考。Objective: To evaluate the clinical value of association rule analysis for influencing factors of donation related vasovagal reaction(DRVR), using Logistic regression analysis as the reference. Methods: A retrospective study was conducted on 10 000 unpaid blood donors from Zhangjiakou Central Blood Station from June 2019 to June 2021. Their baseline data was collected. Blood donors were divided into the test group with DRVR(n=386) and the control group without DRVR(n=9614). Logistic regression analysis was performed on all blood donors. The independent risk factor prediction was established for DRVR. Association rule analysis was performed on the test group. The effective strong association rules including DRVR were calculated. Taking Logistic regression analysis prediction as the reference, the results of association rule analysis were evaluated. Results: The logistic regression analysis prediction showed that “age(20-29 years old)”, “gender(female)”, “BMI(≤18 kg/m^(2))”, “blood pressure(low)”, and “hemoglobin level(low)” were the independent risk factors for DRVR(all P<0.05). There were 8 effective strong association rules including DRVR in total: The two-item rules were “age(20-29 years old), DRVR”, “gender(female), DRVR”, “BMI(≤18 kg/m^(2)), DRVR”, “blood pressure(low), DRVR”, “hemoglobin level(low), DRVR”. The three-item rules were “age(20-29 years old), gender(female), DRVR”, “BMI(≤18 kg/m^(2)), blood pressure(low), DRVR”, “BMI(≤18 kg/m^(2)), blood donation volume(400 mL), and DRVR”. The results of the two rules in association rule analysis included all independent risk factors leading to DRVR and similar incidence rate change of DRVR. The results of the three rules had determined the range of high-risk groups for DRVR. Conclusion: Compared to the Logistic regressive analysis, the results of association rule analysis have more clinical value, which provide a method reference for further improving the accuracy of DRVR prediction.

关 键 词：关联规则分析 LOGISTIC回归分析 献血 迷走神经反应 影响因素 

分 类 号：R457.1[医药卫生—治疗学]