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Published on: May 10, 2013
Tables for estimating the glomerular filtration rate using the new CKD-EPI equation from serum creatinine
Insights
Early diagnosis of chronic kidney disease (CKD) is crucial. New tables using the CKD-EPI equation aid in estimating glomerular filtration rate (GFR) for better CKD staging and prognosis.
Area of Science:
- Nephrology
- Clinical Chemistry
- Public Health
Background:
- Chronic kidney disease (CKD) presents significant healthcare challenges due to treatment costs and secondary complications.
- Early diagnosis of CKD is essential for effective management and improved patient outcomes.
- Current CKD classification relies on glomerular filtration rate (GFR) and albuminuria, as per 2013 KDIGO guidelines.
Purpose of the Study:
- To introduce and facilitate the adoption of the CKD-EPI equation for GFR estimation.
- To provide practical tools (tables) for implementing the CKD-EPI equation in clinical settings.
- To support the transition from older equations like MDRD to the recommended CKD-EPI equation.
Main Methods:
- Development of reference tables correlating serum creatinine, age, and sex with estimated GFR (eGFR).
- Utilized the CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equation for eGFR calculations.
- Focused on creating a user-friendly instrument for healthcare professionals.
Main Results:
- Generated comprehensive tables displaying eGFR values calculated via the CKD-EPI equation.
- The tables serve as a practical aid for clinicians, especially where automated calculations are unavailable.
- Facilitates wider dissemination and application of the preferred CKD-EPI equation.
Conclusions:
- The CKD-EPI equation is recommended over MDRD for GFR estimation by international guidelines.
- The developed tables simplify the application of the CKD-EPI equation in routine clinical practice.
- Promoting the use of CKD-EPI through accessible tools can enhance CKD diagnosis and management.
Abstract:
Chronic kidney disease (CKD) and its complications have become a major healthcare problem, both due to the resources that are required in the final stages of the disease and to secondary complications. As such, its early diagnosis is considered to be very important nowadays. The recently published 2013 KDIGO guidelines base the definition and classification of CKD on glomerular filtration values and albuminuria as staging criteria and prognostic markers of the disease. The MDRD and MDRD-IDMS equations (when creatinine values can be traced to the reference method) are those most used, but both the 2013 KDIGO international guidelines and the new 2013 CKD consensus document, in which ten scientific societies participated under the direction of the Spanish Society of Nephrology, recommend to be replaced by the CKD-EPI equation. Our objective has been, as with previous equations, to develop tables that display the estimated glomerular filtration rate value using the CKD-EPI equation from serum creatinine concentration, age and sex, and thereby provide an instrument that facilitates the dissemination of this new equation, particularly in settings where it is not calculated automatically.
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