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山东大学学报 (医学版) ›› 2020, Vol. 58 ›› Issue (12): 109-116.doi: 10.6040/j.issn.1671-7554.0.2020.1036

• 公共卫生与管理学 • 上一篇    下一篇

山东省人群血清尿酸变异性与冠心病发病风险的关系

刘聪聪1,陈晓璐1,司书成1,王博洁1,李云霞1,李文超1,袁同慧1,薛付忠1,2   

  1. 1. 山东大学齐鲁医学院公共卫生学院生物统计学系, 山东 济南 250012;2. 山东大学健康医疗大数据研究院, 山东 济南 250012
  • 发布日期:2020-12-08
  • 通讯作者: 薛付忠. E-mail:xuefzh@sdu.edu.cn
  • 基金资助:
    国家重点研发计划(2020YFC2003500)

Association between serum uric acid variability and risk of coronary heart disease in Shandong Province

LIU Congcong1, CHEN Xiaolu1, SI Shucheng1, WANG Bojie1, LI Yunxia1, LI Wenchao1, YUAN Tonghui1, XUE Fuzhong1,2   

  1. 1. Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China;
    2. Institute for Medical Dataology, Shandong University, Jinan 250012, Shandong, China
  • Published:2020-12-08

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摘要： 目的 探讨山东省人群队列中血清尿酸变异性指标和冠心病发病风险之间的关系。 方法 依托山东省健康医疗大数据平台,构建30岁到80岁人群的冠心病发病队列。采用Cox比例风险模型研究不同血清尿酸变异性指标与冠心病发病风险的关系。变异性指标包括独立于均值的变异(VIM)、平均真实变异(ARV)和变异系数(CV)。 结果 在中位随访时间为8.50年的观察期间,新发冠心病患者1 931例,其中男1 420例,女511例,发病密度为10.60/千人年。在调整了年龄、性别、收缩压、空腹血糖、体质量指数、甘油三酯、高密度脂蛋白、低密度脂蛋白、平均血清尿酸水平和随访次数后,与血清尿酸变异性(VIM)的最低四分位组相比,第二到第四四分位组的HR分别为1.03(95%CI:0.90~1.19,P=0.674)、1.18(95%CI:1.03~1.35,P=0.018)和1.32(95%CI:1.16~1.51,P<0.001)。用ARV和CV表示变异所得到的结果与VIM类似。 结论 高水平的血清尿酸变异性是冠心病发病的风险因素。

关键词: 尿酸, 变异性, 冠心病, 独立于均值的变异, 平均真实变异, 变异系数

Abstract: Objective To explore the association between serum uric acid(SUA)variability and the risk of coronary heart disease(CHD)in Shandong Province. Methods Based on the Big Data Platform of Health Care in Shandong Province, the CHD incidence cohort of people aged 30 to 80 years was constructed. The association between CHD risk and variability independent of the mean(VIM), average real variability(ARV)and coefficient of variation(CV)was analyzed with Cox proportional hazards model. Results During the median follow-up of 8.50 years, 1 931 new CHD cases were diagnosed, including 1 420 males and 511 females, with an incidence density of 10.60/1000 person-year. After age, gender, systolic blood pressure, fasting plasma glucose, body mass index, triglycerides, high-density lipoprotein, low-density lipoprotein, average uric acid level and the number of follow-up were adjusted, HR for VIM were 1.03(95%CI: 0.90-1.19, P=0.674), 1.18(95%CI: 1.03-1.35, P=0.018)and 1.32(95%CI: 1.16-1.51, P<0.001)for quartiles 2 to 4, respectively. When ARV and CV were used for SUA variability, the results were similar to those of VIM. Conclusion High levels of SUA variability are risk factors of CHD.

Key words: Uric acid, Variability, Coronary heart disease, Variability independent of the mean, Average real variability, Coefficient of variation

中图分类号: 

  • R181.2
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