Microvascular complications identify a specific coronary atherosclerotic phenotype in patients with type 2 diabetes mellitus

Table 4 Predictors of MACEs in the overall population by univariate and multivariate Cox regression analysis

	Univariate analysis		Multivariable analysis
	HR (95% CI)	p	HR (95% CI)	p
Presence of ≥ 1 DMC	2.528 (1.261; 5.068)	0.009	2.891 (1.386; 6.030)	0.005
Smoking habit	2.146 (1.111; 4.144)	0.023	2.049 (1.003; 4.187)	0.049
Male sex	1.029 (0.498; 2.126)	0.939	0.944 (0.437; 2.038)	0.883
Age	0.969 (0.933; 1.005)	0.093	0.973 (0.936; 1.010)	0.153
LVEF on admission	1.016 (0.975; 1.059)	0.444	1.019 (0.979; 1.061)	0.352
Multivessel CAD	1.015 (0.531; 1.940)	0.964	0.965 (0.473; 1.970)	0.921
Diabetes duration (months since T2DM diagnosis)	0.998 (0.992; 1.004)	0.491	0.997 (0.991; 1.003)	0.319

Bold values are reported for variables that are statistically significant (p < 0.05)
MACEs major adverse cardiovascular events, DMC diabetic microvascular complications, LVEF left ventricle ejection fraction, CAD coronary artery disease, HR hazard ratio, CI confidence interval
All variables in Table 1 and the presence of at least one of DMC have been tested to predict MACEs, although only variables with p-value < 0.050, age, male sex, EF on admission, multivessel CAD and diabetes duration (months since T2DM diagnosis) have been shown in the table. Variables that were significantly related to MACEs, along with age, male sex, EF on admission, multivessel CAD, diabetes duration (months since T2DM diagnosis) have been included in multivariate analysis

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