Wu B, Lyu Y B, Zhou J H, Wei Y, Zhao F, Chen C, Li C C, Qu Y L, Ji S S, Lu F, Liu Y C, Gu H, Song H C, Tan Q Y, Zhang M Y, Cao Z J, Shi X M
Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Zhonghua Yi Xue Za Zhi. 2021 Apr 27;101(16):1171-1177. doi: 10.3760/cma.j.cn112137-20201221-03409.
To investigate the effect of plasma uric acid level on the incident risk of type 2 diabetes mellitus (T2DM) among the oldest old (those aged ≥80 years). Participants were recruited from the Healthy Aging and Biomarkers Cohort Study (HABCS), which conducted a baseline survey in 2008-2009 and follow-up of 3 times in 2011-2012, 2014, and 2017-2018, respectively. A total of 2 213 oldest old were enrolled in this study. The general demographic, socioeconomic, lifestyle and disease data of the oldest old were collected, and physical measurements were made for the oldest old. Fasting venous blood was collected for uric acid and blood glucose detection. Information on the incident and death of T2DM were collected through the follow-up. Cox proportional hazard regression model was used to explore the association of hyperuricemia and plasma uric acid level with the incidence of T2DM. Restricted cubic spline (RCS) function was used to explore the dose-response relationship of plasma uric acid levels with the risk of T2DM. The age of participants was (93.2±7.6) years old, and 66.7% of the participants (1 475) were female. The plasma uric acid level at baseline was (289.1±88.0)μmol/L, and the prevalence of hyperuricemia was 13.3% (294 cases). During 9 years of cumulative follow-up of 7 471 person-years (average of 3.38 years for each), 122 new cases of T2DM occurred and the incidence density was 1 632.98/10 person year. Cox proportional hazards regression analysis showed that per 10μmol/L increase in plasma uric acid level, the risk of T2DM increased by 1.1% [ (95%): 1.011 (1.004, 1.017)]. Compared with the participants with the lowest quintile of plasma uric acid (), the risk of diabetes increased by 20.7 % among the oldest old with uric acid in the highest quintile () [ (95%):1.207 (1.029, 1.416)]. The risk of T2DM was 19.2% higher in the hyperuricemia group than that in the oldest old with normal plasma uric acid [ (95%): 1.192 (1.033, 1.377)]. RCS function showed that the risk of T2DM increased with the increase in plasma uric acid levels in a nonlinear dose-response relationship (=0.016). The incident risk of T2DM increases with the elevates of plasma uric acid levels in the oldest old.
探讨高龄老人(年龄≥80岁)血浆尿酸水平对2型糖尿病(T2DM)发病风险的影响。研究对象来自健康老龄化与生物标志物队列研究(HABCS),该研究于2008 - 2009年进行了基线调查,并分别于2011 - 2012年、2014年以及2017 - 2018年进行了3次随访。本研究共纳入2213名高龄老人。收集了高龄老人的一般人口统计学、社会经济、生活方式及疾病数据,并对其进行了体格测量。采集空腹静脉血用于检测尿酸和血糖。通过随访收集T2DM的发病及死亡信息。采用Cox比例风险回归模型探讨高尿酸血症及血浆尿酸水平与T2DM发病率的关联。使用受限立方样条(RCS)函数探讨血浆尿酸水平与T2DM风险的剂量反应关系。研究对象年龄为(93.2±7.6)岁,66.7%(1475名)为女性。基线时血浆尿酸水平为(289.1±88.0)μmol/L,高尿酸血症患病率为13.3%(294例)。在9年累计随访7471人年(人均3.38年)期间,发生122例T2DM新发病例,发病密度为1632.98/10人年。Cox比例风险回归分析显示,血浆尿酸水平每升高10μmol/L,T2DM风险增加1.1%[95%置信区间:1.011(1.004,1.017)]。与血浆尿酸处于最低五分位数的参与者相比,血浆尿酸处于最高五分位数的高龄老人患糖尿病的风险增加了20.7%[95%置信区间:1.207(1.029,1.416)]。高尿酸血症组T2DM风险比血浆尿酸正常的高龄老人高19.2%[95%置信区间:1.192(1.033,1.377)]。RCS函数显示,T2DM风险随血浆尿酸水平升高呈非线性剂量反应关系增加(P = 0.016)。高龄老人中,T