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. 2020 May 6;19:52. doi: 10.1186/s12933-020-01028-1

Table 4.

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

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) *

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

∆P < 0.1; *P < 0.05; P < 0.01. CI confidence interval, OR odds ratio