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

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

Variables Multivariate (Model 1) Multivariate (Model 2) Multivariate (Model 3)
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
  1. 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