Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Arthritis Res Ther. 2022 Jun 21;24(1):149. doi: 10.1186/s13075-022-02812-y.
Long-term patterns of serum uric acid (SUA) and their association with the risk of myocardial infarction (MI) and mortality are poorly characterized as prior studies measured SUA at a single time point. This study aimed to identify SUA trajectories and determine their associations with incident MI and all-cause mortality.
We included 85,503 participants who were free of MI in or prior 2012 from the Kailuan study. SUA trajectories during 2006-2012 were identified by group-based trajectory modeling. Cox proportional hazard models were used to assess the association of SUA trajectories with MI and all-cause mortality.
We identified three SUA trajectories during 2006-2012: low-stable (n=44,124, mean SUA: 236-249 μmol/L), moderate-stable (n=34,431, mean SUA: 324-354 μmol/L) and high-stable (n=6,984, mean SUA: 425-463 μmol/L). During a median follow-up of 6.8 years, we documented 817 (0.96%) incident MI and 6498 (7.60%) mortality. Compared with the low-stable group, high-stable group experienced a higher risk of MI (hazard ratio [HR], 1.35; 95% confidence [CI], 1.07-1.71) and all-cause mortality (HR, 1.22; 95% CI, 1.12-1.33). Multiple sensitivity analyses yielded similar results. Additionally, the association of SUA trajectory with MI and all-cause mortality was more pronounced in individuals without a history of hypertension (P-interaction=0.0359) and those aged <60 years (P-interaction<0.0001), respectively.
Higher SUA trajectories were associated with altered risk of MI and all-cause mortality, suggesting that monitoring SUA trajectory may assist in identifying subpopulations at higher risk of MI and all-cause mortality.
长期的血清尿酸(SUA)水平模式及其与心肌梗死(MI)和死亡率风险的关系尚未得到充分描述,因为先前的研究仅在单一时间点测量了 SUA。本研究旨在确定 SUA 轨迹,并确定其与 MI 事件和全因死亡率的相关性。
我们纳入了来自开滦研究的 85503 名在 2012 年或之前无 MI 的参与者。通过基于群组的轨迹建模确定 2006-2012 年期间的 SUA 轨迹。Cox 比例风险模型用于评估 SUA 轨迹与 MI 和全因死亡率的相关性。
我们确定了 2006-2012 年期间的三种 SUA 轨迹:低稳定型(n=44124,平均 SUA:236-249μmol/L)、中稳定型(n=34431,平均 SUA:324-354μmol/L)和高稳定型(n=6984,平均 SUA:425-463μmol/L)。在中位随访 6.8 年期间,我们记录了 817 例(0.96%)MI 事件和 6498 例(7.60%)死亡事件。与低稳定组相比,高稳定组发生 MI(危险比[HR],1.35;95%置信区间[CI],1.07-1.71)和全因死亡率(HR,1.22;95%CI,1.12-1.33)的风险更高。多项敏感性分析得出了类似的结果。此外,SUA 轨迹与 MI 和全因死亡率的相关性在无高血压病史的个体(P 交互作用=0.0359)和年龄<60 岁的个体(P 交互作用<0.0001)中更为明显。
较高的 SUA 轨迹与 MI 和全因死亡率风险的改变相关,提示监测 SUA 轨迹可能有助于识别 MI 和全因死亡率风险较高的亚人群。