Statistical analysis
smoking behavior, T2DM, diabetes
DIABETES, HYPERTENSION, HYPERLIPIDEMIA
A complete case analysis of the inflammatory biomarkers in all patients participating in the EMMY trial with available frozen biomarker samples for all visits was performed. Baseline measurements were summarized using descriptive analysis with mean ± standard deviation (SD) or median with interquartile range (IQR) for continuous variables and frequency tables in percentage (%) for categorical variables.A linear mixed effect model (LMEM) was established to analyse mean and percentage changes in inflammatory biomarker levels over visits including correlations with explanatory clinical variables (age, sex, T2DM, hyperlipidemia, smoking behavior, BMI, and hypertension) and biomarkers (functional cardiac parameters, eGFR, and NTproBNP). In simple LMEMs, we assessed correlations of inflammatory biomarkers with each explanatory variable over time. Significant associations observed in simple LMEM were included in the multiple LMEM along with treatment, visit, treatment-visit interaction, age, sex, and diabetes. The adjusted associations for multiple LMEM for each inflammatory marker were reported only for significant factors. The results were log-transformed for IL-6 and hsCRP in the graphical analysis. All statistical analyses were conducted in the Stata software version 17.0.