The removal of race from kidney function estimation: Key points for primary providers

Area of Science:

• Nephrology
• Medical Algorithms
• Health Equity

Background:

• Societal recognition of racism's impact has prompted calls to remove race from medical algorithms.
• Concerns regarding the use of race in kidney function estimating equations have intensified.
• Leading US nephrology societies have reassessed the role of race in glomerular filtration rate (GFR) estimation.

Purpose of the Study:

• To review the historical use of race in GFR estimating equations.
• To introduce newly developed race-free equations for GFR estimation.
• To provide guidance for the implementation of these new equations in clinical practice.

Main Methods:

• Review of the evolution of kidney function estimating equations.
• Analysis of the inclusion and impact of race in GFR calculations.
• Presentation of newly developed race-free GFR estimating equations.

Main Results:

• Development of new GFR estimating equations that exclude race.
• Recommendations and implementation guides for adopting race-free equations.
• Emphasis on early detection and risk factor management for chronic kidney disease.

Conclusions:

• The transition to race-free GFR estimating equations is recommended.
• Primary care providers should focus on early kidney dysfunction detection.
• Integrating social determinants of health is crucial for preventing chronic kidney disease progression.