Zhongguo quanke yixue (Oct 2023)
Effect of Serum Uric Acid Longitudinal Trajectory on New-onset Hypertriglyceridemia: a Prospective Cohort Study
Abstract
Background High serum uric acid (SUA) levels may be associated with hypertriglyceridemia. However, prospective cohort studies on the effect of longitudinal trajectory changes in SUA on new-onset hypertriglyceridemia are still lacking. Objective To investigate the correlation between the longitudinal trajectory of SUA and the new-onset hypertriglyceridemia. Methods A total of 3 871 architecture employees who underwent physical examinations in Shiyan Railway Hospital from 2015 to 2020 were selected as study subjects. The general data, physical examination data and laboratory test results of the study subjects were collected. Group-based trajectory model (GBTM) was used to group the uric acid trajectories of the study subjects, linear trend χ2 test was used to detect linear trends in the density of hypertriglyceridemia development with SUA stratification. Generalized estimation equation (GEE) was used to analyze the relationship between each index and hypertriglyceridemia. Results The trajectories of GBTM group 1 showed low SUA fluctuation levels (250-350 μmol/L), group 2 showed medium SUA fluctuation levels (>350-450 μmol/L), and group 3 showed high SUA fluctuation levels (>450 μmol/L), the three groups were named as low fluctuation group (n=1 103), medium fluctuation group (n=2 141), and high fluctuation group (n=627) sequentially according to the trajectory characteristics. The results of linear trend χ2 test revealed that the density of hypertriglyceridemia development increased with the rise of uric acid fluctuating levels (χ2trend=146.728, P<0.001). There were significant differences in age, total cholesterol (TC), triacylglycerol (TG), SUA, creatinine (Cr), systolic blood pressure (SBP), diastolic blood pressure (DBP), and BMI among the three groups (P<0.05). GEE analysis showed that TC, Cr, SBP, DBP, fasting blood glucose and BMI were influencing factors in the development of hypertriglyceridemia (P<0.05), and the risk of hypertriglyceridemia was increased in the medium fluctuation group〔RR=2.294, 95%CI (1.834, 2.868) 〕and high fluctuation group〔RR=3.012, 95%CI (2.295, 3.953) 〕using the low fluctuation group as a reference (P<0.05) . Conclusion The incidence density of hyperhyperacylglyceremia increases with the increase of uric acid locus, which is a risk factor for hyperacylglyceremia. Controlling SUA fluctuation in the normal range may help to reduce the risk of hyperacylglyceremia.
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