Among patients with acute coronary syndrome (ACS), there are considerable disparities among European countries in gender and clinical parameters during the first-year follow-up. These differences are particularly notable in Central and Eastern European countries as opposed to their Western European counterparts. This study was conducted at the Department of Cardiovascular Diseases at the University Hospital Centre Zagreb from January 1, 2013, and December 31, 2017. The aim of this PhD thesis is to identify predictors of ACS patients who underwent primary PCI for one year follow-up. We hypothesed that male gender, age, decreased glomerular filtration rate (GFR), bundle branch block, and left anterior descending artery (LAD) as the infarction artery will be significantly associated with one-month and oneyear mortality. The sampling method was convenient and all patients who fulfilled diagnostic and interventional criteria were included in the analyses. Sample size was more than 700 patients for the majority of analyses. Age, GFR, and LAD as the culprit artery were significant predictors for one-month and one-year mortality in the majority of analyses. Following descriptive and analytic statistics, for two follow-up periods we constructed four logistic regression models with two age cut-offs, >65 and >75 years of age. Odds rations for age, GFR, and LAD indicated increased risk for mortality. Although majority of risk factors, with the exception of age were in the >75 model, were statistically significant in the one-month models, they did not achieve significance in one-year period. Gender was not significant predictor in all four models. Our results were in line with previous studies, emphasizing the need for more comprehensive treatment and follow-up algorithms for patients with identified predictors of adverse outcomes. Data collection adjusted to clinical setting would improve clinical outcomes and efficiency of secondary prevention.