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.

中文翻译：

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血清尿酸的变化轨迹和非酒精性脂肪肝的风险：一项前瞻性队列研究。


目前尚不清楚血清尿酸（SUA）的纵向轨迹对非酒精性脂肪性肝病（NAFLD）发展的作用。我们的目的是确定纵向 SUA 轨迹是否与新发 NAFLD 的风险相关。我们在 3822 名参与者的队列中探讨了 SUA 轨迹与 NAFLD 之间的关系。 2012 年至 2014 年个人的 SUA 轨迹是使用基于组的轨迹建模分析以四种不同模式定义的：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%）。直到2016年，使用逻辑回归模型评估SUA变化轨迹与随后的NAFLD之间的关联。通过将轨迹组作为连续变量进行测试来评估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，调整后的NAFLD发生风险呈剂量-反应关系：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3为2.34轨迹 4 的 (95% CI 1.43–3.83)。这种剂量反应关系不受年龄、性别和腹部肥胖的影响。较高的 SUA 改变轨迹是 NAFLD 的危险因素。这一发现凸显了关注 SUA 变化轨迹对检测和预防 NAFLD 的重要性。