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. 2021 May 6;29(1):46–56. doi: 10.1007/s12529-021-09992-y

Table 4.

Predictive parameters for combined endpoint (univariate and multivariate logistic regression analysis)

Variables OR (95% CI) p value
Age 2.82 (1.42–3.93) 0.073
Sex 1.61 (1.13–2.16) 0.161
Ejection fraction 1.12 (1.01–1.21) 0.062
Body mass index 1.47 (0.89–2.45) 0.261
Atrial fibrillation 1.22 (0.41–3.59) 0.234
Smoking 1.52 (1.07–2.14) 0.082
Hypertension 1.57 (0.32–7.60) 0.242
Type D personality 2.17 (0.91–4.61) 0.042
Hypercholesterolemia 2.89 (1.45–4.24) 0.025
Previous stroke 2.91 (0.55–4.23) 0.023
Diabetes mellitus 2.92 (1.07–8.8) 0.041
Multifocal atherosclerosis 3.60 (0.95–11.34) 0.011
Model 1. Predictive parameters for combined endpoint regardless of gender and age
  Smoking 1.02 (1.01–2.11) 0.025
  Type D personality 1.24 (1.01–1.53) 0.044
  Atrial fibrillation 2.12 (0.75–6.02) 0.018
  Previous stroke 3.15 (0.35–5.22) 0.021
  Multifocal atherosclerosis 3.21 (2.02–6.14) 0.023
  Diabetes mellitus 3.75 (0.15–5.34) 0.011
Model 2 Predictive parameters for combined endpoint, regardless of gender, age, MI, and stroke
  Type D personality 1.44 (1.21–1.81) 0.039
  Diabetes mellitus 3.25 (1.25–6.24) 0.021
  Multifocal atherosclerosis 3.61 (1.32–6.24) 0.033

The entries in italics indicate borderline statistical significance of differences between groups (p <0.1), the entries in bold indicate significant differences (p <0.05) between groups