Zhang Chunmei, Meng Zhaowei, Li Xue, Liu Ming, Ren Xiaojun, Zhu Mei, He Qing, Zhang Qing, Song Kun, Jia Qiyu, Chen Qian
Department of Nuclear Medicine.
Department of Endocrinology and Metabolism.
Medicine (Baltimore). 2018 Oct;97(40):e12707. doi: 10.1097/MD.0000000000012707.
The aim of this study was to determine whether there was a significant association between red blood cell distribution width (RDW) and uric acid (UA) in a large Chinese population.This was a cross-sectional study with an enrollment of 80,298 ostensibly healthy participants (48,971 males, 31,327 females) during the period from 2011 to 2015. In the study, database was grouped by sex and the association between RDW and UA was analyzed by quartiles of RDW.UA values between different sexes and RDW subgroups were analyzed by 2-way analysis of variance and Bonferroni t tests. Prevalence of hyperuricemia in different sexes was calculated. The relationship between risks of hyperuricemia and RDW level was analyzed by binary logistic regression with or without adjustment for age and body mass index.UA values were not all the same between different sexes and RDW subgroups. Males had significantly higher hyperuricemia prevalence than females (20.00% vs 6.48%, P < .01). In addition, hyperuricemia prevalence in males decreased slightly across RDW quartiles, but was stable in females. No significant association between hyperuricemia risk and RDW was found in both sexes according to the results of multivariate logistic regression analysis. Similarly, negative results were also observed in multivariate linear analysis when both RDW and UA were considered as continuous variable.We could not find any significant relationship between RDW and UA in both sexes.
本研究的目的是确定在中国的一大群人中红细胞分布宽度(RDW)与尿酸(UA)之间是否存在显著关联。这是一项横断面研究,在2011年至2015年期间纳入了80298名表面上健康的参与者(48971名男性,31327名女性)。在研究中,数据库按性别分组,并且通过RDW的四分位数分析RDW与UA之间的关联。通过双向方差分析和Bonferroni t检验分析不同性别和RDW亚组之间的UA值。计算不同性别的高尿酸血症患病率。通过二元逻辑回归分析高尿酸血症风险与RDW水平之间的关系,同时调整或不调整年龄和体重指数。不同性别和RDW亚组之间的UA值并不完全相同。男性的高尿酸血症患病率显著高于女性(20.00%对6.48%,P<0.01)。此外,男性的高尿酸血症患病率在RDW四分位数中略有下降,但在女性中保持稳定。根据多变量逻辑回归分析结果,在两性中均未发现高尿酸血症风险与RDW之间存在显著关联。同样,当将RDW和UA都视为连续变量时,在多变量线性分析中也观察到了阴性结果。我们在两性中均未发现RDW与UA之间存在任何显著关系。