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. 2020 Sep 15;30:100632. doi: 10.1016/j.ijcha.2020.100632

Table 3.

Univariable and multiple logistic regression analyses.

Variables Univariable analyses
Multivariable analyses
β ± SE p-value partial r2 p-value
FMD
Type of participant (control) −0.1 ± 1.6 0.96 1.5 ± 1.7 0.41
Age −0.0 ± 0.1 0.76 0.0 ± 0.1 0.81
Sex (male) −2.8 ± 1.5 0.07 −3.0 ± 1.6 0.07
BMI 0.2 ± 0.2 0.41 0.1 ± 0.2 0.65
Smoking (No) 1.8 ± 2.3 0.53 0.8 ± 2.9 0.78
S1P −1.1 ± 3.1 0.73
HDL cholesterol 0.3 ± 1.7 0.85
LDL cholesterol 1.2 ± 0.9 0.17
Albuminuria 3.3 ± 1.8 0.08 −4.3 ± 2.1 0.04
Baseline vessel diameter −0.3 ± 1.0 0.73



NID
Type of participant (control) 4.6 ± 2.3 0.05 4.6 ± 2.3 0.05
Age 0.1 ± 0.1 0.57 0.1 ± 0.1 0.40
Sex (male) −5.0 ± 2.3 0.03 −5.2 ± 2.3 0.03
BMI 0.1 ± 0.3 0.84 0.0 ± 0.3 0.99
Smoking (No) 2.5 ± 4.3 0.57 0.2 ± 4.4 0.97
S1P −0.3 ± 2.9 0.93
HDL cholesterol −1.2 ± 3.6 0.74
LDL cholesterol 1.4 ± 1.2 0.25
Albuminuria −0.2 ± 2.8 0.93
Baseline vessel diameter −1.3 ± 1.4 0.37

FMD = flow mediated vasodilatation, BMI = body mass index, S1P: sphingosine-1-phosphate, HDL: high-density-lipoprotein, LDL = low density lipoprotein, Albuminuria: urine-albumin/creatinine > 30 mg/g.