KFRE for predicting ESRD risk in CKD 3-4 patients

Abstract

Objective: The Kidney Failure Risk Equation (KFRE) is a useful tool for predicting chronic kidney disease (CKD) progression to end-stage renalkidney disease (ESRD). It has been validated in various countries populations. This study aimed to evaluate the prognostic significance of the KFRE model in a Turkish CKD cohort. Materials and Methods: In a prior retrospective study at a single center, the 4-variable KFRE model's accuracy in predicting end-stage renal disease (ESRD) progression was assessed. Among 246 stage 3 or 4 CKD individuals, two-year risk predictions categorized participants into low-intermediate (<20%) and high (≥20%) risk groups. Results: The model showed a sensitivity of 48.9% (95% confidence interval [CI] 34.08–63.94) and a specificity of 89.45% (95% CI 84.32–93.35) in predicting kidney failure progression in the Turkish population with stage 3–4 CKD. The area under the receiver operating characteristic curve was 0.69 (95% CI 0.60–0.79, p = 0.0001). Albuminuria, glomerular filtration rate, and renin–aldosterone system blockage were independently associated with kidney failure progression according to the Cox regression analysis. Conclusion: The findings of this study have demonstrated that the Kidney Failure Risk Equation (KFRE) model shows potential utility in predicting the progression of stage 3–4 chronic kidney disease (CKD) toward the critical stage of end-stage renal disease (ESRD) for the Turkish population.