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Abstract 10245: Egfr Calculation Without the Race Coefficient Obscures Obesity Related Glomerulopathy in Female Adolescents


 Introduction:
 Obesity is more prevalent among minorities, increasing the risk for cardio-renal morbidity.
 
 
 Hypothesis:
 We explored interactions between race, body mass index (BMI), and the risk of hyperfiltration associated with Obesity Related Glomerulopathy (ORG).
 
 
 Methods:
 We created a cohort of women and girls ages 12-21 from the New York Metropolitan area using their longitudinal electronic health records (EHR). Glomerular filtration rate (GFR) was estimated in two ways: I) using the standard age recommended formulae, and II) eGFRr -without a race-specific coefficient. Multivariate logistic regression was used to analyze the relative contribution of risk factors for ORG associated hyperfiltration, defined by a threshold of ≥135ml/min/1.73m
 2
 .
 
 
 Results:
 7315 Black and 15,102 non-Black women and girls were evaluated for kidney function in parallel to body measures. Hyperfiltration was more frequent in Black compared to non-Black individuals when using standard eGFR but was lower after eliminating the race-specific coefficient. Black race was independently associated with hyperfiltration with standard eGFR calculation (OR=3.43, 95% CI 2.95-3.99) but the association was reversed when estimated by eGFRr (OR=0.56, 95% CI 0.45-0.70). Risk of hyperfiltration was higher for Black individuals across all BMI strata with standard eGFR estimates, but when estimated as eGFRr hyperfiltration risk was reduced for overweight (OR =0.70 95% CI 0.54-0.89) and obese (OR=0.47, 95% CI 0.37-0.60) black participants. Simultaneous removal of the race coefficient and adjustment to individual BSA provided the most accurate estimation of GFR compared to creatinine clearance.
 
 
 Conclusions:
 Estimated CKD prevalence among Black adolescents and young adults increases following removal of the race coefficient while fewer have evidence of ORG. Removing the race coefficient should be accompanied by adjustment to individual BSA in order to estimate more realistically GFR.
 
 
 
