Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome

Table 4 Multiple logistic regression analysis for the prediction of MACCE in ACS patients

Variables	Multivariate (Model 1)			Multivariate (Model 2)			Multivariate (Model 3)
Variables	OR	95% CI	p-value	OR	95% CI	p-value	OR	95% CI	p-value
Multivessel disease	2.251	1.294–3.968	0.004		–		2.075	1.176–3.703	0.012
BNP during stable phase, per 1 pg/ml	1.001	0.999–1.003	0.104		–		1.001	0.999–1.002	0.232
hs-CRP during stable phase > 0.1355 mg/dl	2.026	1.166–3.575	0.012		–		2.103	1.196–3.761	0.010
HDLC, per 1 mg/dl	0.974	0.012–0.944	0.052		–		0.976	0.948–1.002	0.077
Glucose on admission > 180 mg/dl		–		1.798	0.920–3.439	0.085	1.723	0.869–3.349	0.118
HbA1c, per 1%		–		1.045	0.807–1.334	0.728	1.050	0.800–1.361	0.714
High MAGE		–		2.030	1.159–3.563	0.014	1.844	1.013–3.356	0.045

Model 1 multivessel disease, BNP during stable phase, hs-CRP during stable phase > 0.1355 mg/dl and HDLC, Model 2 Glucose on admission > 180 mg/dl, HbA1c and High MAGE, Model 3 all variables included in Model 1 and 2. Other abbreviations as in Tables 1, 2, 3

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