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. 2022 Jul 2;13(8):1531–1546. doi: 10.1007/s13300-022-01285-1

Table 2.

Univariate and multivariate logistic regression of the association between AGEs and macroangiopathy

Variables Univariate analysis Multivariate analysis
OR (95% CI) p value OR (95% CI) p value
Coronaropathy (n = 13)
 SAF (AU) 3.40 (1.56, 7.43) 0.002 3.11 (1.32, 7.33) 0.009
 CML (100 µmol/mol lysine)a 1.36 (0.74, 2.50) 0.31 1.22 (0.63, 2.34) 0.55
 Pentosidine (µmol/mol lysine) 1.61 (1.15, 2.26) 0.005 1.61 (1.12, 2.33) 0.01
 MGH1 (µmol/mol lysine) 1.06 (0.49, 2.27) 0.88 1.05 (0.46, 2.45) 0.89
Arteriopathy of lower limbs (n = 32)
 SAF (AU) 2.13 (1.11, 4.08) 0.02 1.84 (0.93, 3.64) 0.08
 CML (100 µmol/mol lysine)a 1.46 (0.89, 2.38) 0.12 1.37 (0.83, 2.27) 0.22
 Pentosidine (µmol/mol lysine) 1.20 (0.89, 1.62) 0.22 1.15 (0.84, 1.57) 0.37
 MGH1 (mmol/mol lysine) 0.70 (0.298, 1.655) 0.419 0.77 (0.18, 3.27) 0.77
History of stroke (n = 10)
 SAF (AU) 2.07 (0.87, 4,95) 0.09 2.24 (0.95, 5,30) 0.06
 CML (100 µmol/mol lysine)a 1.56 (0.81, 2.97) 0.17 1.62 (0.83, 3.14) 0.15
 Pentosidine (µmol/mol lysine) 1.31 (0.89, 1.94) 0.16 1.32 (0.89, 1.95) 0.17
 MGH1 (mmol/mol lysine) 1.18 (0.46, 3.03) 0.732 2.03 (0.97, 4.28) 0.06
Composite criteria of macroangiopathy (n = 51)
 SAF (AU) 3.07 (1.61, 5.83) 0.001 2.78 (1.42, 5.41) 0.003
 CML (100 µmol/mol lysine)a 1.59 (1.00, 2.52) 0.05 1.49 (0.92, 2.43) 0.10
 Pentosidine (µmol/mol lysine) 1.53 (1.16, 2.02) 0.002 1.52 (1.13, 2.04) 0.005
 MGH1 (mmol/mol lysine) 1.56 (0.91, 2.68) 0.11 1.59 (0.90, 2.81) 0.10

In multivariate analysis, AGEs were adjusted to potential confounders (i.e., age, sex, duration of diabetes, hypertension, dyslipidemia, BMI, smoking status, and glomerular filtration rate by CKD-EPI)

SAF skin autofluorescence, CML carboxymethyllysine, MGH1 methylglyoxal-hydroimidazolone-1, AU arbitrary units

aIn the regression models, CML was divided by 100 to obtain a clinically meaningful OR. Therefore, the reported odds ratio corresponds to the increase or decrease of 100 µmol/mol lysine), as appropriate