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. 2020 Jul 7;9(7):2144. doi: 10.3390/jcm9072144

Table 2.

Adjusted binary logistic regression analysis for highest quartile of SS (SS4) and for three-vessel disease.

SS4 Three-Vessel Disease
Variables OR 95% CI p OR 95% CI p
Males 0.46 0.08 2.49 0.37 0.43 0.09 2.06 0.29
Age 1.12 1.03 1.22 0.01 1.05 0.98 1.13 0.15
HOMA-IR 1.22 1.11 1.34 < 0.01 1.22 1.09 1.36 < 0.01
Hypertension 0.15 0.01 1.67 0.12 0.37 0.05 2.79 0.33
Smoke 2.06 0.35 12.19 0.43 0.41 0.08 2.06 0.28
Dyslipidemia 1.09 0.14 8.19 0.93 0.89 0.14 5.67 0.89
BMI 0.78 0.59 1.02 0.07 0.83 0.66 1.05 0.12
Ca2+Antagonists 1.77 0.28 11.05 0.54 1.71 0.31 9.46 0.54
BB 1.27 0.19 8.21 0.8 1.88 0.29 11.90 0.50
Statins 0.21 0.01 5.07 0.34 0.4 0.03 5.52 0.49
ACEI-ARBs 3.36 0.35 31.9 0.29 3.86 0.50 29.7 0.19
LDL 1.01 0.99 1.02 0.41 1 0.98 1.02 0.74

Adjustment for confounding variables was obtained by including simultaneously all the variables in the regression analysis. SS4 indicates the highest quartile of syntax score. SS: Syntax score; BMI: Body mass index; HOMA-IR: Homeostasis model assessment: Insulin resistance; BB: Beta-blockers; ACE-ARBs: Angiotensin converting enzyme inhibitors-angiotensin II receptors blockers; LDL: Low-Density Lipoprotein.