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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 groupOverweight groupObese 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)
Age1.01 (0.97–1.05)1.03 (0.97–1.08)0.99 (0.94–1.04)
Diabetes3.90 (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)
Hypertension3.25 (0.99–10.74)3.03 (0.74–12.45)1.26 (0.40–3.99)
Hyperlipidemia9.20 (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