All statistical analyses were performed with SPSS statistical software (SPSS Inc, Chicago, Ill). Data are presented as mean (±SD), numbers, or proportion. An unpaired, 2-tailed t test, χ2 test, and analysis of variance were used to test the significance of the difference between the various groups. To assess the relationship between admission glucose levels and mortality, the following approach was applied. First, admission blood glucose levels were evaluated as a continuous variable in subjects with (n = 737) and without (n = 109) previously diagnosed diabetes mellitus by means of a univariate model. Then, the Cox proportional hazards regression model (multiple analysis) was used to estimate the association between mortality and admission glucose levels and correct for possible influencing variables. Risk factors entered into the Cox regression model were as follows: age greater than 65 years, sex, previous infarction, previous heart failure, smoking, diabetes mellitus, hypertension and lipid disorders, location of infarction, WMS greater than 7, acute treatment (conservative treatment, thrombolysis, or percutaneous transluminal coronary angioplasty), and in-hospital occurrence of congestive heart failure, reinfarction, ventricular fibrillation, atrial fibrillation, or high-grade atrioventricular block.