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

Q4 Medicine

中国实验血液学杂志 Pub Date : 2025-02-01 DOI:10.19746/j.cnki.issn.1009-2137.2025.01.034

Li-Ning Meng, Qi Yang, Long Tian

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引用次数: 0

Abstract

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/m²)", "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/m²), 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/m²), blood pressure (low), DRVR", "BMI (≤18 kg/m²), 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.

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[基于关联规则分析的捐赠相关血管迷走神经反应影响因素研究]。

目的：以Logistic回归分析为参考，评价捐献相关血管迷走神经反应（DRVR）影响因素的关联规则分析的临床价值。方法：对2019年6月至2021年6月张家口市中心血站1万名无偿献血者进行回顾性研究。收集他们的基线数据。将献血者分为有DRVR的试验组（386人）和无DRVR的对照组（9614人）。对所有献血者进行Logistic回归分析。建立DRVR的独立危险因素预测。对实验组进行关联规则分析。计算了包含DRVR的有效强关联规则。以Logistic回归分析预测为参考，对关联规则分析结果进行评价。结果：logistic回归分析预测“年龄（20 ~ 29岁）”、“性别（女性）”、“BMI（≤18 kg/m2）”、“血压（低）”、“血红蛋白水平（低）”是DRVR的独立危险因素（均P < 0.05）。包括DRVR在内的有效强关联规则共8项：“年龄（20 ~ 29岁）、DRVR”、“性别（女性）、DRVR”、“BMI（≤18 kg/m2）、DRVR”、“血压（低）、DRVR”、“血红蛋白水平（低）、DRVR”。三项规则为“年龄（20-29岁）、性别（女性）、DRVR”、“BMI（≤18 kg/m2）、血压（低）、DRVR”、“BMI（≤18 kg/m2）、献血量（400 mL）、DRVR”。关联规则分析的结果包含了所有导致DRVR的独立危险因素和相似的DRVR发病率变化。三个规则的结果确定了DRVR的高危人群范围。结论：与Logistic回归分析相比，关联规则分析的结果更具有临床价值，为进一步提高DRVR预测的准确性提供了方法参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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