A Comparison of Change in Measured and Estimated Glomerular Filtration Rate in Patients with Nondiabetic Kidney Disease | Zendy

Dawei Xie | Zendy; Marshall M. Joffe | Zendy; Steven M. Brunelli | Zendy; Gerald J. Beck | Zendy; Glenn M. Chertow | Zendy; Jeffrey C. Fink | Zendy; Tom Greene | Zendy; Chiyuan Hsu | Zendy; John W. Kusek | Zendy; J. Richard Landis | Zendy; James Lash | Zendy; Andrew S. Levey | Zendy; Andrew O’Conner | Zendy; Akinlolu Ojo | Zendy; Mahboob Rahman | Zendy; Raymond R. Townsend | Zendy; Hao Wang | Zendy; Harold I. Feldman | Zendy

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A Comparison of Change in Measured and Estimated Glomerular Filtration Rate in Patients with Nondiabetic Kidney Disease

Author(s) -

Dawei Xie,

Marshall M. Joffe,

Steven M. Brunelli,

Gerald J. Beck,

Glenn M. Chertow,

Jeffrey C. Fink,

Tom Greene,

Chiyuan Hsu,

John W. Kusek,

J. Richard Landis,

James Lash,

Andrew S. Levey,

Andrew O’Conner,

Akinlolu Ojo,

Mahboob Rahman,

Raymond R. Townsend,

Hao Wang,

Harold I. Feldman

Publication year - 2008

Publication title -

clinical journal of the american society of nephrology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.755

H-Index - 151

eISSN - 1555-905X

pISSN - 1555-9041

DOI - 10.2215/cjn.05631207

Subject(s) - medicine , renal function , urology , kidney disease , concordance , linear regression , retrospective cohort study , cohort , statistics , mathematics

All glomerular filtration rate (GFR) estimating equations have been developed from cross-sectional data. The aims of this study were to examine the concordance between use of measured GFR (mGFR) and estimated GFR (eGFR) in tracking changes in kidney function over time among patients with moderately severe chronic kidney disease.

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