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Race-Based Adjustment In Egfr Algorithms: An Integrative Literature Review, Leah E. Utt
Race-Based Adjustment In Egfr Algorithms: An Integrative Literature Review, Leah E. Utt
Honors Undergraduate Theses
Background: There is a 3-fold risk of developing end stage kidney disease in Non-Hispanic African Americans compared to Non-Hispanic White Americans (Centers for Disease Control and Prevention, 2017). Estimated glomerular filtration rate (eGFR), one of the fundamental algorithms for coordinating treatment for kidney disease which factors in age, race, gender, and levels of creatinine, may pose an issue in this vulnerable population. Currently African Americans receive a correction factor between 1.21 and 1.16 to their eGFR to adjusting the value higher, potentially impacting appropriate kidney disease classification, and delaying beneficial interventions (National Kidney Foundation, 2020).
Methods: A systematic literature search …