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Table 8 Univariate and multivariate Logistic regression analysis for the parameters affecting an event (obstructive coronary artery disease ≥ 50%) vessel stenosis (n = 60 vs. 60)

From: Relationship between epicardial fat volume measured by multi-detector computed tomography and coronary artery disease

  Univariate Multivariate
Model A Model B Model C Model D
Age (years) 1.104* (1.052–1.160) 1.079* (1.023–1.137) 1.064* (1.008–1.123) 1.069* (1.012–1.129) 1.061* (1.004–1.122)
Sex (Male) 2.091 (1.751–6.555) 2.040* (1.126–7.159) 2.091* (1.054–6.874) 2.089* (0.964–6.426) 2.081* (0.957–6.431)
Dyslipidemia 1.542 (0.316–2.372) 1.542* (0.316–2.372) NS NS NS
Hypertension 3.645* (1.592–8.345) 2.911* (0.746–4.892) NS NS NS
Calcium score in (≥ 101) 4.010 (1.004–8.501) 3.307* (1.214–8.208) - 2.701* (0.693–7.53)
Epicardial fat volume (> 124 cm3) 4.091 (1.751–9.555) 3.143* (1.306–7.565) 3.122* (0.913–6.172)
Hosmer and lemeshow test   0.561 0.599 0.748 0.837
  1. OR: Odd’s ratio; C.I: Confidence interval; LL: Lower limit; UL: Upper Limit
  2. *Statistically significant at p ≤ 0.05
  3. NS: Non-significant risk factors were excluded in the background stepwise logistic regression analysis
  4. Model A = Age, sex, dyslipidemia & hypertension
  5. Model B = Model A + calcium score
  6. Model C = Model A + epicardial fat volume
  7. Model D = Model A + calcium score + epicardial fat volume