Table 4

Linear and binary regression between classical CVD risk and endothelial function in RA patients from the cross-sectional study

Microvascular function

Macrovascular function

Endothelium-dependent

Endothelium- independent

Endothelium- dependent

Endothelium- independent

CVD risk factors

Insulin

β = 0.13, P = 0.23

β = 0.04, P = 0.73

β = -0.04, P = 0.71

β = -0.25, R² = 0.065^a

HOMA

β = 0.09, P = 0.41

β = -0.01, P = 0.95

β = -0.06, P = 0.61

β = -0.23, R² = 0.052^a

QUICKI

β = -0.07, P = 0.53

β = -0.02, P = 0.88

β = 0.11, P = 0.30

β = 0.30, R² = 0.095^b

High cholesterol

OR = 1.01 (0.99-1.00)

OR = 1.00 (0.99-1.00)

OR = 1.08 (0.99-1.17)

OR = 1.09 (1.02-1.17)^a

Hypertension

OR = 1.00 (1.00-1.00)

OR = 1.00 (0.99-1.00)

OR = 1.08 (0.99-1.17)

OR = 1.07 (1.01-1.14)^a

Cigarette smoking

OR = 1.00 (1.00-1.00)

OR = 1.00 (1.00-1.00)

OR = 1.04 (0.97-1.13)

OR = 1.04 (0.99-1.10)

Global CVD risk

FRS

β = -0.26, R² = 0.068^b

β = -0.18, P = 0.09

β = -0.12, P = 0.26

β = -0.32, R² = 0.101^b

TC score

β = -0.28, R² = 0.077^a

β = -0.17, P = 0.18

β = -0.23, P = 0.08

β = -0.14, P = 0.30

TC/HDL score

β = -0.26, R² = 0.068^a

β = -0.17, P = 0.19

β = -0.25, P = 0.05

β = -0.17, P = 0.18

Reynolds Risk Score

β = -0.30, R² = 0.088^a

β = -0.12, P = 0.37

β = -0.27, R² = 0.072^a

β = -0.51, R² = 0.259^b

QRISK 2

β = -0.33, R² = 0.109^b

β = -0.19, P = 0.08

β = -0.22, R² = 0.048^a

β = -0.51, R² = 0.255^b

CVD risk factors and global CVD risk scores were entered as independent variables, and endothelial functions, as dependent variables in the linear and binary regression analysis. Odds ratio (OR) with 95% confidence interval is presented for all binary regression analysis. CVD, cardiovascular disease; FRS, Framingham risk score; HDL, high-density lipoprotein; HOMA, homeostasis model assessment; QUICKI, quantitative insulin sensitivity check index; SCORE, systematic coronary risk evaluation; TC, total cholesterol. ^aP < 0.05; ^bP < 0.01. R² value is shown for all significant associations only.

Sandoo et al. Arthritis Research & Therapy 2012 14:R117   doi:10.1186/ar3847