GFR estimation: from physiology to public health.
GFR estimation: from physiology to public health.
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DOI:
10.1053/j.ajkd.2013.12.006
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发表时间:
2014-05
期刊:
影响因子:
--
通讯作者:
Coresh J
中科院分区:
文献类型:
--
作者:
Levey AS;Inker LA;Coresh J
Estimating glomerular filtration rate (GFR) is essential for clinical practice, research, and public health. Appropriate interpretation of estimated GFR (eGFR) requires understanding the principles of physiology, laboratory medicine, epidemiology and biostatistics used in the development and validation of GFR estimating equations. Equations developed in diverse populations are less biased at higher GFR than equations developed in CKD populations and are more appropriate for general use. Equations that include multiple endogenous filtration markers are more precise than equations including a single filtration marker. The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations are the most accurate GFR estimating equations that have been evaluated in large, diverse populations and are applicable for general clinical use. The 2009 CKD-EPI creatinine equation is more accurate in estimating GFR and prognosis than the 2006 Modification of Diet in Renal Disease (MDRD) Study equation and provides lower estimates of prevalence of decreased eGFR. It is useful as a “first” test for decreased eGFR and should replace the MDRD Study equation for routine reporting of serum creatinine–based eGFR by clinical laboratories. The 2012 CKD-EPI cystatin C equation is as accurate as the 2009 CKD-EPI creatinine equation in estimating eGFR, does not require specification of race, and may be more accurate in patients with decreased muscle mass. The 2012 CKD-EPI creatinine–cystatin C equation is more accurate than the 2009 CKD-EPI creatinine and 2012 CKD-EPI cystatin C equations and is useful as a confirmatory test for decreased eGFR as determined by an equation based on serum creatinine. Further improvement in GFR estimating equations will require development in more broadly representative populations, including diverse racial and ethnic groups, use of multiple filtration markers, and evaluation using statistical techniques to compare eGFR to “true GFR”.
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影响因子:
13.2
作者:
Jafar, Tazeen H.;Islam, Muhammad;Levey, Andrew S.
通讯作者:
Levey, Andrew S.
DOI:
10.1056/nejmoa1114248
发表时间:
2012-07-05
期刊:
The New England journal of medicine
影响因子:
--
作者:
Inker LA;Schmid CH;Tighiouart H;Eckfeldt JH;Feldman HI;Greene T;Kusek JW;Manzi J;Van Lente F;Zhang YL;Coresh J;Levey AS;CKD-EPI Investigators
通讯作者:
CKD-EPI Investigators
DOI:
10.1053/j.ajkd.2009.12.016
发表时间:
2010-04
期刊:
American journal of kidney diseases : the official journal of the National Kidney Foundation
影响因子:
--
作者:
Matsushita K;Selvin E;Bash LD;Astor BC;Coresh J
通讯作者:
Coresh J
影响因子:
39.2
作者:
Levey, Andrew S.;Coresh, Josef;Van Lente, Frederick
通讯作者:
Van Lente, Frederick
影响因子:
6.8
作者:
Grubb, Anders;Blirup-Jensen, Soren;Zegers, Ingrid
通讯作者:
Zegers, Ingrid