Evaluation of Race-Neutral Glomerular Filtration Rate Estimating Equations in an Indian Population.

INTRODUCTION

Glomerular filtration rate (GFR) estimation equations have not been extensively validated in the Indian population. Preliminary data showed that the widely used creatinine-based Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2009 significantly overestimated GFR in Indians. Newer estimated GFR (eGFR) equations based on creatinine and cystatin C, omitting the race, have been recently proposed. We investigated the performance of race-free eGFR equations in the Indian population.

METHODS

Patients with chronic kidney disease (CKD) and potential kidney donors attending the outpatient clinic at the Postgraduate Institute of Medical Education and Research Chandigarh, India, were screened for enrolment. GFR was measured by urinary clearance of inulin and plasma clearance of iohexol. Performance of eGFR equations (CKD-EPI, CKD-EPI CKD-EPI, CKD-EPI, CKD-EPI, 2020 and 2020, EKFC EKFC, and EKFC) were assessed against measured GFR (mGFR) using bias, precision, and accuracy (root mean square error [RMSE], mean absolute error [MAE] and P [% with eGFR within 30% of mGFR]).

RESULTS

A total of 412 subjects (55% with CKD), average age 47 ± 11 years with an equal distribution of males and females were enrolled. The mean mGFR in the study population was 54.2 ± 30.2 ml/min per 1.73 m. The average mGFR in the potential kidney donor's subgroup was 79.5 ± 23.2 ml/min per 1.73 m. Bias was highest for creatinine-based eGFR equations (CKD-EPI: -19.2 [-21.3 to -17.0] ml/min per 1.73 mand CKD-EPI: -17.0 [-19.1 to -15.0] ml/min per 1.73 m). Cystatin C- (either alone or with other markers) based equations were slightly better but still did not reach P ≥ 80%.

CONCLUSIONS

Race-neutral CKD-EPI equation did not significantly improve performance as compared to CKD-EPI equation. These observations emphasize the need for developing new eGFR equations for Indians and to standardize the mGFR for easy access to care providers for individualized patient care.