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.

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