Ma Zhimin, Xu Chaonan, Kang Xiaoping, Zhang Shan, Li Haibin, Tao Lixin, Zheng Deqiang, Guo Xiuhua, Yang Xinghua
School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
Beijing Municipal Key Laboratory of Clinical Epidemiology, NO. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
J Transl Med. 2020 Mar 19;18(1):133. doi: 10.1186/s12967-020-02296-x.
It is unclear the role of longitudinal trajectory of serum uric acid (SUA) on the development of non-alcoholic fatty liver disease (NAFLD). We aimed to determine whether longitudinal SUA trajectories are associated with the risk of new-onset NAFLD.
We explored the relationship between SUA trajectories and NAFLD in a cohort including 3822 participants. Individual's SUA trajectories from 2012 to 2014 were defined using group-based trajectory modeling analysis in four distinct patterns: trajectory 1 (n = 991, 25.93%), trajectory 2 (n = 1421, 37.18%), trajectory 3 (n = 1156, 30.22%), and trajectory 4 (n = 254, 6.67%). The logistic regression model was used to evaluate the association between SUA changing trajectories and subsequent NAFLD until 2016. Dose-response relationship between SUA changing trajectories and NAFLD risk was evaluated through the testing of trajectory groups as a continuous variable.
The 2-year incidence of NAFLD was 13.27%. Compared with trajectory 1, the adjusted odds risk for NAFLD development was in a dose-response relationship as follows: 1.27 (95% CI 0.91-1.78) for trajectory 2, 1.89 (95% CI 1.29-2.75) for trajectory 3, and 2.34 (95% CI 1.43-3.83) for trajectory 4. And this dose-response relationship was not affected by age, sex, and abdominal obesity.
Higher SUA changing trajectory is a risk factor for NAFLD. This finding highlights the importance of paying attention to SUA changing trajectory on the detection and prevention of NAFLD.
血清尿酸（SUA）的纵向轨迹在非酒精性脂肪性肝病（NAFLD）发展中的作用尚不清楚。我们旨在确定SUA的纵向轨迹是否与新发NAFLD的风险相关。
我们在一个包含3822名参与者的队列中探讨了SUA轨迹与NAFLD之间的关系。使用基于组的轨迹建模分析将个体在2012年至2014年的SUA轨迹定义为四种不同模式：轨迹1（n = 991，25.93%）、轨迹2（n = 1421，37.18%）、轨迹3（n = 1156，30.22%）和轨迹4（n = 254，6.67%）。使用逻辑回归模型评估SUA变化轨迹与至2016年后续NAFLD之间的关联。通过将轨迹组作为连续变量进行检验来评估SUA变化轨迹与NAFLD风险之间的剂量反应关系。
NAFLD的2年发病率为13.27%。与轨迹1相比，NAFLD发生的调整后比值风险呈剂量反应关系如下：轨迹2为1.27（95%CI 0.91 - 1.78），轨迹3为1.89（95%CI 1.29 - 2.75）,轨迹4为2.34（95%CI 1.43 - 3.83）。并且这种剂量反应关系不受年龄、性别和腹型肥胖的影响。
较高的SUA变化轨迹是NAFLD的一个危险因素。这一发现凸显了关注SUA变化轨迹对NAFLD检测和预防的重要性。
