Study endpoint and statistical analysis
hyperuricemia, diabetes
DIABETES, HYPERURICEMIA, REGRESSION, HYPERTENSION, ASCVD, DYSLIPIDEMIA
The primary endpoint of this sub-analysis was the absolute change in mean CCA-IMT from baseline to 24 months. The absolute change in maximum CCA-IMT from baseline to 24 months was also evaluated. Factors associated with IMT progression in patients with hyperuricemia were explored.Statistical analysis was performed using R statistical software version 4.0.2 (R Foundation for Statistical Computing, Vienna, Austria). All continuous data are expressed as median [interquartile range], and categorical data are shown as frequency (%). Multivariable analysis was performed using a multiple linear regression model for identifying factors associated with the absolute change in mean and maximum CCA-IMT from baseline to 24 months. Non-standardized and standardized regression coefficients were evaluated, and an adjusted change in CCA-IMT from baseline to 24 months with a 95% confidence interval was determined. Twelve factors reportedly associated with IMT progression, including age, sex, BMI, hypertension, diabetes, dyslipidemia, smoking, a history of ASCVD, renal function (assessed with estimated glomerular filtration rate), SUA level, high-sensitivity C-reactive protein level, and baseline mean CCA-IMT were included into the multivariable model in addition to the study allocation