γ-谷氨酰转肽酶与高尿酸血症关系的队列分析

doi:10.6040/j.issn.1671-7554.0.2016.1270

摘要/Abstract

摘要： 目的探讨γ-谷氨酰转肽酶(GGT)与高尿酸血症(HUA)发病之间的关系。方法本研究选取“山东多中心健康管理纵向观察队列”中26 006名体检者作为基线进行随访,构建结局为HUA的研究队列, GGT分为4个水平(由低到高分别为Q1、Q2、Q3、Q4),采用Cox比例风险回归模型分析GGT不同水平与HUA发病之间的关系。结果 HUA发病密度为74.7/1 000人年。仅对年龄进行调整时,GGT不同水平各组(Q2、Q3、Q4)与低水平组(Q1)的相对危险度RR分别为1.64(95%CI:1.46~1.84,P<0.001)、2.24(95%CI:2.00~2.50,P<0.001)、2.68(95%CI:2.41~2.99,P<0.001);调整年龄、体质量指数、收缩压、甘油三酯、总胆固醇、高密度脂蛋白、血肌酐后RR值分别为1.20(95%CI:1.04~1.38,P<0.001)、1.43(95%CI:1.24~1.64,P<0.001)、1.51(95%CI:1.31~1.74,P<0.001);进一步调整吸烟和饮酒因素后RR值分别为1.19(95%CI:1.04~1.37,P<0.001)、1.41(95%CI:1.23~1.62,P<0.001)、1.49(95%CI:1.29~1.72,P<0.001)。结论 GGT是HUA 发病的独立危险因素,随着GGT水平的升高,HUA的发病风险增大。

关键词: γ-谷氨酰转肽酶, 高尿酸血症, 队列研究, Cox回归

Abstract: Objective To explore the relationship between γ-glutamyltransferase(GGT)and hyperuricemia(HUA). Methods We selected 26,006 participants from the routine health check-up system in the “large sample longitudinal health management cohort data management system” as baseline to follow up and to construct the longitude cohort. After that, we divided GGT into four levels(Q1, Q2, Q3, Q4), and adopted Cox regression model to explore the relationship between GGT and HUA. Results The incidence density of HUA was 74.4/1 000 personyears. The Cox model adjusted age showed that relative hazards(RRs)of different levels(Q2, Q3, Q4)compared with the lowest level(Q1)were 1.64(95%CI: 1.46-1.84, P<0.001), 2.24(95%CI: 2.00-2.50, P<0.001), 2.68(95%CI: 2.41-2.99, P<0.001), respectively. After the age, BMI, systolic blood pressure, triglyceride, total cholesterol, high-density lipoprotein cholesterol and serum creatinine were adjusted, the RRs were 1.20(95%CI: 1.04-1.38, P<0.001), 1.43(95%CI:1.24-1.64, P<0.001), 1.51(95%CI: 1.31-1.74, P<0.001), respectively. After further adjusting for smoking and drinking, the RRs were 1.19(95%CI: 1.04-1.37, P<0.001), 1.41(95%CI:1.23-1.62, P<0.001), 1.49(95%CI: 1.29-1.72, P<0.001), respectively. Conclusion GGT is an independent risk factor of HUA. With the enhanced GGT level, the risk of developing HUA will increase.

Key words: Hyperuricemia, γ-glutamyltransferase, Cohort study, Cox model

中图分类号:

R589

曹瑾,季晓康,孙秀彬,蒋正,薛付忠. γ-谷氨酰转肽酶与高尿酸血症关系的队列分析[J]. 山东大学学报（医学版）, 2017, 55(6): 124-128.

CAO Jin, JI Xiaokang, SUN Xiubin, JIANG Zheng, XUE Fuzhong. The relationship between γ-glutamyltransferase and hyperuricemia: a cohort study[J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2017, 55(6): 124-128.

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