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. 2014 May 23;13:95. doi: 10.1186/1475-2840-13-95

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)

  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

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.

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.