Aim: To determine the clinical and laboratory parameters that affect the mid-long term mortality of patients hospitalized for acute kidney injury (AKI). Material and methods: Patients hospitalized with the diagnosis of AKI in the intensive care unit and clinic of Nephrology for four years were retrospectively screened. The files of these patients were scanned. Demographic data, comorbidities, vital signs and laboratory parameters were scanned. It was determined in terms of factors affecting mortality in these patients (living and dying) over a 4-year period. Results: The effects of the variables found significant [age, presence of hypertension and coronary artery disease (CAD), sedimentation, C-reactive protein (CRP), urea, potassium (K), magnesium (Mg), pH and CRP-albumin ratio (CAR)] on mortality was performed using multiple logistic regression analysis, which was used to identify the independent risk factors of mortality. Multiple logistic regression analysis using Stepwise selection method revealed that increasing age (IQR=1.04, 95% CI=1.01 – 1.07, p=.004), presence of CAD (IQR =2.16, 95% CI=1.16 – 4.02, p=.016), increased Mg (IQR =2.64, 95% CI=1.18 – 5.92, p=.018) and K (IQR =1.70, 95% CI=1.21 – 2.41, p=.002) were independent risk factors for mortality. The accuracy rate for the predictive performance of this prediction model in predicting mortality was 71.1%, with a sensitivity of 26.5%, a specificity of 90%, and an AUC of 0.753. Conclusion: In our predictive model, in the medium-long term, we found old age, the presence of coronary artery disease, increased K and Mg as the independent risk factors for mortality in AKI patients.