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Prediction equations based on serum creatinine concentrations in estimating glomerular filtration rate in patients with chronic kidney diseases (Prediction equations in estimating glomerular filtration rate in patients with chronic kidney diseases) Nermina Babić*, Nesina Avdagić, Ermina Kurspahić, Amina Valjevac, Asija Začiragić The aim was to examine the predictive value of two differ-ent equations for glomerular filtration rate (GFR) assess-ment: Cockcroft-Gault (CG) and modification of diet in re-nal disease (MDRD) in patients with chronic kidney diseases (CKD). We also aimed to compare sensitivity and specificity of the predictive equations in renal function assessment. The study included 75 patients with CKD who were further divid-ed into four groups according to the stages of disease (CKD Stage 1-4) and 25 healthy subjects. The GFR was estimated using CG and MDRD equations. The estimated GFR values using the MDRD equation in all groups were lower com-pared to those calculated using the CG equation. In patients with CKD stage 1, GFR was significantly lower as estimated by MDRD compared to CG equation (p=0.032). The ROC curves for estimated GFR using CG and MDRD equations in CKD patients vs healthy subjects were significant (AUC for CG 0.839 and for MDRD 0.923; p<0.0005). The optimal cut-off value for GFR estimated by CG equation was 62.86 mL/ min (sensitivity 81.25%; specificity 76%) and for estimated GFR using MDRD equation 57.2 mL/min/1.73 ° m2 (sensi-tivity 91.3%; specificity 81%). MDRD equation yields higher sensitivity and specificity in predicting GFR in patients with CKD compared to CG equation. Key words: chronic kidney disease, glomerular filtration rate, Cockcroft-Gault equation, modification of diet in renal dis-ease (MDRD) study equatio