Skip to main content
. 2021 Aug 30;11(9):1577. doi: 10.3390/diagnostics11091577

Table 3.

Logistic regression analysis of factors used to separate patients with diabetes and heart failure from those without heart failure.

Variables Univariable Model p-Value Multivariable Model p-Value
Crude OR [95% CI] Adjusted OR [95% CI]
FGF21 (pg/mL) 5.16 [2.19, 15.47] 0.001 * 8.80 [2.95, 36.30] 0.001 *
Age (years) 1.16 [0.71, 1.90] 0.551 2.52 [1.12; 6.68] 0.039 *
Gender (a) 0.55 [0.20, 1.45] 0.233 0.67 [0.16, 2.72] 0.574
BMI (kg/m2) 1.50 [0.91, 2.55] 0.118 0.69 [0.31, 1.44] 0.340
DBP (mmHG) 1.45 [0.88, 2.50] 0.157 1.20 [0.64, 2.38] 0.573
HbA1c (%) 1.99 [1.14, 3.93] 0.0267 * 2.27 [1.19, 5.13] 0.025 *
Previous MI 2.32 [0.88, 6.40] 0.094 3.81 [0.99, 17.19] 0.061

FGF21 = fibroblast growth factor 21, BMI = body mass index, DBP = diastolic blood pressure, HbA1c = glycated hemoglobin; MI = myocardial infarction; * statistical significance: p < 0.05; Multivariable Model: FGF21 adjusted for demographic and clinical covariates; OR = odds ratio; (a) Reference category: Gender = F.