Glycemia affects glomerular filtration rate in people with type 2 diabetes

Abstract

Abstract Background In type 2 diabetes (T2DM), the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation for estimated glomerular filtration rate (eGFR) systematically underestimates the measured adjusted glomerular filtration rate (aGFR) when aGFR is high. We studied the extent to which glycemic variables associate with kidney function, and developed equations including these variables that estimate aGFR in people with T2DM. Methods Diabetic Pima people had aGFR measured from iothalamate clearance divided by body surface area. eGFRs 120 ml/min/1.73m2, was compared by analysis of receiver-operating (ROC) curves. Results aGFR was measured 2798 times in 269 individuals. HbA1c, fasting plasma glucose (FPG), age, and serum creatinine (SCR) were significantly associated with aGFR. The best equations for approximating aGFR used HbA1c and FPG in addition to age and SCR. They approximate aGFR in this cohort of obese people with T2DM more precisely than the CKD-EPI equation. Analysis of ROC curves show that these equations detect hyperfiltration better than does the CKD-EPI equation. Conclusions HbA1c, FPG, age, and SCR yielded the best equations for estimating aGFR in these subjects. The new equations identify hyperfiltration better than the CKD-EPI equation in this cohort and may inform clinical decisions regarding hyperfiltration in individuals with T2DM.

Keywords

• Type 2 diabetes mellitus
• Estimated glomerular filtration rate
• Hyperfiltration
• Glycemic variables
• Kidney function