Table 4.

Relationship between GlycA and Vascular disease

A: Multivariable regression analyses show a direct relationship between vascular inflammation and GlycA.
Model	Total Cohort	Psoriasis	Control
Unadjusted	0.30 (<0.001)	0.30 (<0.001)	0.26 (<0.001)
Adjusted for age and gender	0.29 (<0.001)	0.28 (<0.001)	0.22 (<0.001)
Adjusted for age, gender and FRS	0.25 (<0.001)	0.25 (<0.001)	0.22 (<0.001)
Adjusted for age, gender, FRS and BMI	0.26 (<0.001)	0.22 (<0.001)	0.17 (0.045)
Adjusted for age, gender, FRS, BMI, SBP, LDL-C, HDL-C, HOMA-IR, Smoking and Statins	0.21 (0.002)	0.26 (0.004)	0.18 (0.03)

B: Multivariable regression analyses show a direct relationship between total burden of coronary artery disease quantified by CCTA and GlycA.
Model	Total Cohort	Psoriasis	Control
Unadjusted	0.17 (<0.001)	0.31 (<0.001)	0.13 (0.002)
Adjusted for age and gender	0.15 (<0.001)	0.25 (0.005)	0.12 (0.003)
Adjusted for age, gender and FRS	0.16 (0.003)	0.26 (0.004)	0.15 (0.007)
Adjusted for age, gender, FRS and BMI	0.12 (0.007)	0.24 (0.002)	0.10 (0.02)
Adjusted for age, gender, FRS, BMI, SBP, LDL-C, HDL-C, HOMA-IR, Smoking and Statins	0.14 (0.001)	0.34 (0.01)	0.13 (0.04)

All values reported as ‘Standardized β (p value)’.

CCTA: Coronary Computed Tomography Angiography, FRS: Framingham Risk Score, BMI: Body Mass Index, SBP: Systolic Blood Pressure, HOMA-IR: Homeostasis Model Assessment of Insulin Resistance.