Diagnostic value of the Modification of Diet in Renal Disease and Chronic Kidney Disease Epidemiology Collaboration equations in diabetic patients: a systematic review and meta-analysis

Author:

Lingli Xie12,Qing Zhang3,Wenfang Xia12ORCID

Affiliation:

1. Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

2. Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China

3. Department of Endocrinology, The Third People’s Hospital of Hubei Province, Wuhan, China

Abstract

Background The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) equations are common for calculating estimated glomerular filtration rate (eGFR). Unlike CKD, the key pathological change of diabetic kidney disease (DKD) is glomerulosclerosis. Methods To conduct a meta-analysis of the diagnostic performance of the CKD-EPI and MDRD equations in diabetic patients, we searched PubMed, Embase and the Cochrane Library for studies comparing standard GFR (sGFR) with eGFR using these two equations. Results Thirteen studies of 7192 diabetic patients reporting data on bias or accuracy were included. At the study level, both equations underestimated eGFR. CKD-EPI was more accurate in studies with mean GFR ≥60 mL/minute/1.73 m2. At the individual level, both equations overestimated GFR by 6.38 mL/minute/1.73 m2 (95% confidence interval [CI] 2.67–10.1) and 7.65 mL/minute/1.73 m2 (95% CI 2.78–12.52), respectively, for sGFR < 90 mL/minute/1.73 m2. The CKD-EPI equation was 7.61% (95% CI 4.66–10.56) more accurate in subjects with sGFR > 90 mL/minute/1.73 m2. The CKD-EPI equation performed poorly in diabetic patients. Conclusions The CKD-EPI equation can be used to estimate GFR in patients with incipient DKD, but has drawbacks. Improved eGFR equations suitable for diabetic populations are needed.

Funder

The Natural Sciences Foundation of Hubei Province of China

The National Natural Sciences Foundation of China

Fundamental Research Funds for the Central University

Publisher

SAGE Publications

Subject

Biochemistry (medical),Cell Biology,Biochemistry,General Medicine

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