Filtering Race Out of GFR Calculation

Area of Science:

• Nephrology
• Biochemistry
• Clinical Diagnostics

Background:

• Glomerular filtration rate (GFR) is a key indicator of kidney function.
• Current GFR estimating equations often incorporate race, leading to potential inaccuracies and disparities.
• Serum creatinine-based equations are widely used but have limitations.

Purpose of the Study:

• To evaluate the performance of the new eGFR_cr-cys equation in estimating GFR.
• To assess the equation's accuracy across different racial groups.
• To determine if the eGFR_cr-cys equation improves CKD prognosis prediction compared to race-based equations.

Main Methods:

• Utilized the eGFR_cr-cys equation, incorporating both serum creatinine and cystatin C levels.
• Compared eGFR_cr-cys results with traditional GFR estimating equations.
• Analyzed accuracy and bias across Black and non-Black populations.
• Assessed the prognostic value of eGFR_cr-cys for CKD outcomes.

Main Results:

• The eGFR_cr-cys equation demonstrated improved accuracy in GFR estimation for all individuals.
• It significantly minimized the differences in eGFR between racial groups.
• The equation showed a more accurate reflection of CKD prognosis.

Conclusions:

• The eGFR_cr-cys equation is recommended for estimating GFR in both Black and non-Black individuals.
• Adoption of this equation enhances diagnostic accuracy and reduces racial bias in kidney function assessment.
• This approach aligns with the goal of eliminating race from GFR estimating equations for equitable patient care.