Table 3.

List of variables (only with a p value < 0.10) and their univariate association with percentage atheroma volume

Parameter	Parameter estimate 90% CI	p value
Cross-sectional analysis at baseline–percentage atheroma volume
Age	0.240 (0.140, 0.339)	<0.001
Smoking	−3.718 (−5.790, −1.646)	0.003
ACS	−3.733 (−5.735, −1.731)	0.002
GFR < 60	5.541 (1.612, 9.470)	0.021
SBP (	0.110 (0.047, 0.173)	0.004
IL-6 (n log)	1.103 (0.107, 2.099)	0.069
OxPL (n log)	1.550 (0.251, 2.850)	0.050
HbA1c (n log)	15.075 (6.445, 23.705)	0.004
Previous PCI or CABG	4.770 (2.634, 6.905)	0.003
Creatinine (n log)	6.720 (1.950, 11.491)	0.021
% Diameter stenosis	0.335 (0.245, 0.426)	<0.001
Endothelial function	3.721 (0.856, 6.587)	0.033
MMP-9 (n log)	−1.331 (−2.630, −0.031)	0.092
Predictors of change from baseline–percentage atheroma volume
Waist circumference	−0.048 (−0.085, −0.012)	0.031
Czech Republic/Poland	2.933 (1.250, 4.616)	0.004
Statin use	−2.156 (−3.509, −0.803)	0.009
CD40L (n log)	−0.776 (−1.294, −0.257)	0.014
DBP	0.078 (0.037, 0.119)	0.002
Myeloperoxidase (n log)	0.529 (0.014, 1.043)	0.091
Baseline % atheroma volume	−0.095 (−0.135, −0.056)	<0.001

GFR Glomerular filtration rate, oxPL Oxidized phospholipids, PCI percutaneous coronary intervention, CABG coronary artery bypass graft, ACS acute coronary syndrome, SBP systolic blood pressure, IL interleukin, HbA1c Hemoglobin A1c, MMP Matrix metalloproteinase, DBP diastolic blood pressure