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作 者:李清华 唐敏 LI Qinghua;TANG Min(School of Mathematics,Southwest Jiaotong University,Chengdu,Sichuan 611756,China)
出 处:《宜宾学院学报》2024年第6期92-96,共5页Journal of Yibin University
基 金:国家自然科学基金项目(U1830133);中央高校基本科研业务经费项目(SWJTU,2682021ZTPY078)。
摘 要:为了探究脂肪肝、血脂异常与各常规体检项目间的关系,实现对脂肪肝和血脂异常的发病风险评估,基于2 972例体检者9 091人次血常规体检结果建立以脂肪肝血脂异常为响应变量的二元响应广义线性混合模型,并进行疾病风险预测以及预测效果评价.结果表明:脂肪肝血脂异常的共同影响因素有性别、年龄、糖尿病、体质指数、谷丙转氨酶和高密度脂蛋白,脂肪肝和血脂异常两个响应之间的混合效应之间呈现一定的正相关性.在模型预测方面,模型中脂肪肝的ROC曲线下面积SAUC为0.855(95%CI:0.831~0.881),血脂异常的ROC曲线下面积SAUC为0.814(95%CI:0.794~0.850),五则交叉验证结果显示脂肪肝血脂异常的SAUC分别为0.850(95%CI:0.845~0.868)、0.807(95%CI:0.793~0.819),表明模型能够充分反映响应变量之间的相关性,具有较好的预测能力,适用于医学上多疾病的联合分析.In order to explore the relationship between fatty liver,dyslipidemia and various routine physical examination items,and achieve risk assessment of fatty liver and dyslipidemia,a binary response generalized linear mixed model with dyslipidemia as the response variable was established based on the results of 9091 blood routine physical examinations of 2972 examinees.Disease risk prediction and model prediction effectiveness evaluation were conducted.The results show that the common influencing fac⁃tors of dyslipidemia in fatty liver include gender age,diabetes,body mass index,alanine aminotransferase and high-density lipo⁃protein,the mixed effects of fatty liver and dyslipidemia responses show a certain positive correlation.In the model prediction,the area under the ROC curve SAUC of fatty liver was 0.855(95%CI:0.831~0.881),and the area under the ROC curve SAUC of dyslip⁃idemia was 0.814(95%CI:0.794~0.850),five cross validation results show that the SAUC of lipid abnormalities in fatty liver were 0.850(95%CI:0.845~0.868)and 0.807(95%CI:0.793~0.819),respectively.The dual response model can fully reflect the corre⁃lation between response variables and has good predictive ability,making it suitable for joint analysis of multiple medical diseases.
关 键 词:体检数据 脂肪肝 血脂异常 常规体检项目 多元广义线性混合效应模型
分 类 号:O212.1[理学—概率论与数理统计] R195[理学—数学]
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