Comparison of CKD-EPI Cystatin C and Creatinine Glomerular Filtration Rate Estimation Equations in Asian Indians

Abstract EN

Background.

Chronic kidney disease (CKD) is identified in the general population using estimated glomerular filtration rates (eGFR) calculated from a serum creatinine-based equation, the chronic kidney disease-epidemiology collaboration (CKD-EPI) equation.

Using serum cystatin C in combination may improve eGFR accuracy.

We evaluated the new CKD-EPI equations incorporating cystatin C in a population of Asian Indians in classifying CKD across body mass index, diabetes, and hypertension status.

Methods.

We retrieved standardized serum creatinine and serum cystatin C data from a cohort of 2877 Asian Indians aged 40–80 years from the Singapore Indian Eye Study and calculated eGFR (in mL/min/1.73 m2) with the new CKD-EPI equations and serum creatinine only equation.

Results.

The creatinine only equation mean eGFR (88 ± 17) was similar to using spline Log cystatin C (88 ± 22).

The lowest mean eGFR (81 ± 21) was obtained with the spline Log cystatin C—age, sex, and weight equation.

The creatinine only equation had the fewest participants (7.1%) with eGFR <60 and spline Log cystatin C—age, sex, and weight equation had the most (16.1%).

Conclusions.

Using serum cystatin C resulted in widely varying eGFR which significantly affected the classification of chronic kidney disease.