Simple and multiple linear regression analyses for CRVE.

BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure; PP, pulse pressure; HR, heart rate; TG, triglyceride; TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; FPG, fasting plasma glucose; HbA1c, glycated hemoglobin; hs-CRP, high-sensitivity C-reactive protein; CRAE, central retinal arteriolar equivalent; CRVE, central retinal venular equivalent; D(f), retinal vascular fractal dimension.β (95% CI): regression coefficient and 95% confidence interval.*P†Log transformation was applied.The R2 for the multivariable regression model was 0.1412.Simple and multiple linear regression analyses for CRVE.