Table 4.

Binary logistic regression analyses of variables contributing to diabetic complications (M = male). The logistic regression model is statistically significant (χ2(4) = 90.838, p < 0.0001), explains 33.4% of the total variance (Nagelkerke R²) and correctly classifies 76.0% of cases. The Odds ratio of mitokines refers to the increased probability to have a complication per every 100 pg/mL of mitokines. P value derived from post-hoc tests with Bonferroni corrections after analysis of covariance (ANCOVA). Age and gender are considered as covariates

Parameters	B	SE	Wald	Odds ratio	95% CI for Odds ratio	p value
Gender (M)	0.742	0.285	6.803	2.101	1.203–3.670	0.009
Age	0.057	0.026	4.928	1.059	1.007–1.114	0.026
HbA1c	0.923	0.141	42.760	2.518	1.909–3.321	< 0.001
GDF15	0.027	0.012	4.639	1.027	1.002–1.053	0.031
FGF21	− 0.026	0.052	0.256	0.974	0.880–1.079	0.613
HN	− 0.056	0.030	3.545	0.945	0.891–1.002	0.060

The significance level of p value is < 0.05 and written in italic