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Table 4 Univariable and multivariable logistic regression analysis in independent predictors of myocardial microvascular dysfunction

From: The additive effects of obesity on myocardial microcirculation in diabetic individuals: a cardiac magnetic resonance first-pass perfusion study

 

Normal–weight group

Overweight group

Obese group

Univariable

OR (95% CI)

Multivariable

OR (95% CI)

Univariable

OR (95% CI)

Multivariable

OR (95% CI)

Univariable

OR (95% CI)

Multivariable

OR (95%CI)

Sex (female)

0.40 (0.16–0.99)

0.20 (0.06–0.61)

0.10 (0.03–0.34)

0.08 (0.02–0.34)

0.17 (0.05–0.54)

0.12 (0.03–0.47)

Age

1.01 (0.97–1.05)

1.03 (0.97–1.08)

0.99 (0.94–1.04)

Diabetes

3.90 (1.52–10.01)

6.46 (2.08–20.10)

5.58 (1.71–18.18)

7.19 (1.67–31.07)

8.00 (2.00–31.99)

11.21 (2.38–52.75)

Hypertension

3.25 (0.99–10.74)

3.03 (0.74–12.45)

1.26 (0.40–3.99)

Hyperlipidemia

9.20 (1.14–74.25)*

0.96 (0.28–3.22)

0.44 (0.12–1.65)

Renal dysfunction^

1.75 (0.33–9.27)

4.50 (0.50–40.26)

10.85 (1.24–94.97) *

  1. Candidate variables for multivariable model were selected on clinical grounds, guided by univariable correlation with P value < 0.10 and the absence of collinearity. ^Renal dysfunction: estimated creatinine clearance < 60 mL/min
  2. ∆P < 0.1; *P < 0.05; P < 0.01. CI confidence interval, OR odds ratio