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Table 3 Univariate and multiple linear regression analysis with AGEs as dependent variable.

From: Advanced glycation endproducts are increased in rheumatoid arthritis patients with controlled disease

 

Univariate analysis

 

Multivariate analysis

 
 

B (95% C.I.)

P-value

B (95% C.I.)

P-value

R.A.

0.187 (-0.010 to 0.384)

0.063

  

smoking

0.433 (0.194 to 0.672)

0.001

0.318 (0.120 to 0.516)

0.002

hypertension

0.135 (-0.069 to 0.339)

0.193

  

BMI

0.011 (-0.010 to 0.032)

0.304

  

dyslipidemia

0.124 (-0.084 to 0.331)

0.239

  

creatinin

0.011 (0.006 to 0.017)

< 0.001

  

Male gender

0.451 (0.266 to 0.637)

< 0.001

0.330 (0.262 to 0.508)

< 0.001

glucose

0.430 (0.247 to 0.612)

< 0.001

0.196 (0.022 to 0.370)

0.028

age

0.020 (0.011 to 0.028)

< 0.001

  

total cholesterol

- 0.021 (-0.123 to 0.082)

0.688

  

HDL-cholesterol

- 0.315 (-0.536 to 0.094)

0.006

  

LDL-cholesterol

- 0.016 (-0.135 to 0.102)

0.784

  

triglycerides

0.215 (0.056 to 0.374)

0.009

  

RR systolic

0.007 (0.001 to 0.012)

0.030

  

RR diastolic

0.010 (0.000 to 0.019)

0.046

  

vWF

0.003 (0.001 to 0.004)

< 0.001

0.002 (0.001 to 0.003)

0.001

SAE

- 0.069 (-0.105 to -0.034)

< 0.001

- 0.035 (-0.069 to -0.002)

0.039

IMT

0.429 (0.136 to 0.722)

0.005

  
  1. Univariate and multiple linear regression analysis in both RA and HC cohorts combined. Multiple linear regression analysis was performed with forward inclusion of variables with P < 0.10 in univariate analysis. All data are represented as B with 95% confidence interval. The adjusted R-square of this model was 0.481.