Predicting Residual Renal Function in Peritoneal Dialysis Patients Using an Estimated Glomerular Filtration Rate Based on Serum Creatinine Levels

Abstract

Background: The aim of this study was to evaluate regression equations correcting estimated glomerular filtration rate (eGFR) and the clinical significance of the corrected eGFRs calculated using these equations. Patients and Methods: The authors determined how well corrected eGFR values calculated using regression equations predict residual renal function (RRF). Results: RRF values were correlated with all eGFR values of nonanuric patients of both genders. Peritoneal creatinine clearance values were not correlated with eGFRs in anuric patients of either gender. In males, eGFR biases ranged from -5.66 to -3.25, and in females, from -5.96 to -3.21. However, these biases decreased when eGFR values were transformed to corrected eGFR values. The area under the curve of the corrected eGFR values was acceptable for a diagnosis of RRF loss. Conclusion: Corrected eGFR values obtained using these methods may provide an alternative means of predicting RRF without 24-hour urine collection.