Applicability of Chronic Kidney Disease Epidemiology Collaboration equations in a Chinese population | Zendy

M. Zhang | Zendy; Yu Chen | Zendy; Lijun Tang | Zendy; Jian Zhang | Zendy; Shanshan Liu | Zendy; S. Wang | Zendy; R. Wei | Zendy; Jianhui Zhou | Zendy; Xueying Cao | Zendy; Wen Zhang | Zendy; Yun Yang | Zendy; Guangyan Cai | Zendy; Xuefeng Sun | Zendy; Xuemin Chen | Zendy

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Applicability of Chronic Kidney Disease Epidemiology Collaboration equations in a Chinese population

Author(s) -

M. Zhang,

Yu Chen,

Lijun Tang,

Jian Zhang,

Shanshan Liu,

S. Wang,

R. Wei,

Jianhui Zhou,

Xueying Cao,

Wen Zhang,

Yun Yang,

Guangyan Cai,

Xuefeng Sun,

Xuemin Chen

Publication year - 2013

Publication title -

nephrology dialysis transplantation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.654

H-Index - 168

eISSN - 1460-2385

pISSN - 0931-0509

DOI - 10.1093/ndt/gft374

Subject(s) - medicine , epidemiology , kidney disease , chinese population , population , disease , intensive care medicine , environmental health , genetics , biology , genotype , gene

Accurate estimated glomerular filtration rates (eGFR) is an important step in the diagnosis of chronic kidney disease (CKD). The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation, based on creatinine alone (eGFRcr), was developed to improve on the Modification of Diet in Renal Disease equation, in particular by addressing the systematic underestimation of high GFR. Whether the CKD-EPI equation, based on cystatin C alone (eGFRcys), or the combined creatinine-cystatin C CKD-EPI equation (eGFRcr-cys C), actually perform better than the CKD-EPI equation based on creatinine (eGFRcr) remains unknown, especially in Asians including Chinese populations, where eGFR equations may overestimate true GFR.

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