2010 April ; 55(4): 622–627. doi:10.1053/j.ajkd.2010.02.337. | Andrew S. Levey, MD and Lesley A. Stevens, MD, MS
The article discusses the accuracy and applications of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation for estimating glomerular filtration rate (GFR). The CKD-EPI equation, which uses the same variables as the Modification of Diet in Renal Disease (MDRD) Study equation, is more accurate and provides better GFR estimates. The accuracy of GFR estimating equations is evaluated by comparing them to measured GFR values. The CKD-EPI equation reduces bias and imprecision compared to the MDRD Study equation, leading to more accurate GFR estimates, fewer false-positive diagnoses of chronic kidney disease (CKD), and lower prevalence estimates of CKD. These improvements are beneficial for detecting disease, predicting prognosis, and guiding therapy. The article also highlights the potential impact of the CKD-EPI equation on clinical practice, such as reducing false-negative diagnoses of CKD and improving nephrology referrals. Despite these advancements, further research is needed to optimize the use of GFR estimates in diverse populations and clinical settings.The article discusses the accuracy and applications of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation for estimating glomerular filtration rate (GFR). The CKD-EPI equation, which uses the same variables as the Modification of Diet in Renal Disease (MDRD) Study equation, is more accurate and provides better GFR estimates. The accuracy of GFR estimating equations is evaluated by comparing them to measured GFR values. The CKD-EPI equation reduces bias and imprecision compared to the MDRD Study equation, leading to more accurate GFR estimates, fewer false-positive diagnoses of chronic kidney disease (CKD), and lower prevalence estimates of CKD. These improvements are beneficial for detecting disease, predicting prognosis, and guiding therapy. The article also highlights the potential impact of the CKD-EPI equation on clinical practice, such as reducing false-negative diagnoses of CKD and improving nephrology referrals. Despite these advancements, further research is needed to optimize the use of GFR estimates in diverse populations and clinical settings.
[slides and audio] Estimating GFR using the CKD Epidemiology Collaboration (CKD-EPI) creatinine equation%3A more accurate GFR estimates%2C lower CKD prevalence estimates%2C and better risk predictions.