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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