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Table 4 Model-coefficients of predictor variable of the linear multivariate regression model with ΔCIMT as outcome variable (BMI was excluded because of high-correlation with Waist)

From: Multiple risk factor intervention reduces carotid atherosclerosis in patients with type 2 diabetes

 

β ̂

95% CI

p-value

Waist circumference (Baseline)

0.19

(-0.05 to 0.44)

0.12

HDL-cholesterol (Baseline)

0.10

(-0.26 to 0.46)

0.56

Triglycerides (Baseline)

-0.02

(-0.06 to 0.02)

0.33

Serum creatinine (Baseline)

-1.32

(-15.08 to 12.45)

0.85

Smoking (Baseline)

-4.15

(-12.53 to 4.22)

0.32

Blood glucose 2h (Baseline)

0.00

(-0.04 to 0.04)

0.98

CHD risk score (Baseline)

-0.25

(-0.76 to 0.26)

0.33

PROCAM risk score (Baseline)

0.20

(-0.21to 0.6)

0.34

Statin therapy (Baseline)

-3.95

(-10.78 to 2.87)

0.25

CIMT (Baseline)

-11.29

(-37.99 to 15.4)

0.40

Δ HDL-cholesterol

-0.02

(-0.15to 0.12)

0.82

Δ Triglycerides

0.00

(-0.05 to 0.05)

0.99

Δ NTproBNP

-0.02

(-0.04 to 0)

0.09

Δ Blood glucose 2h

0.04

(-0.11 to 0.2)

0.58

Sex

-1.30

(-11.66 to9.06)

0.80

Age (Baseline)

0.02

(-0.69 to 0.72)

0.96

Statin therapy (3 Months)

-3.86

(-10.8 to 3.08)

0.27

  1. CHD = Coronary Heart Disease (UKPDS risk engine 2.0); PROCAM – Prospective Cardiovascular Münster; IMT – Intima Media Thickness; NTproBNP = N-terminal Pro B-Type Natriuretic Peptide; β ̂ = estimates of beta coefficient; CI = confidence interval.
  2. Male gender, statin therapy and smoking were assigned a value of 1. Female gender, no statin therapy and non-smoking were assigned a value of 0.