Relationship between body composition and glomerular filtration rate estimates in the general population.
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Your vote was cast
Thank you for your feedback
Thank you for your feedback
MetadataShow full item record
CitationNephron Clin Pract. 2013, 123 (1-2):22-7
AbstractDifferences in body composition may lead to imprecision in estimates of glomerular filtration rate (eGFR) derived from serum creatinine. Our aims were to examine the relationship between eGFR and anthropometric and body composition measures and handgrip strength.
We analyzed data from a cross-sectional study comprising 1,630 randomly selected community-dwelling adults. The Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations were used to calculate eGFR from IMDS-standardized serum creatinine. Body mass index and body surface area were calculated from measured height and weight. Body composition was determined by dual-energy x-ray absorptiometry, handgrip strength measured by a hand-held dynamometer. Regression analysis was used to examine the association between eGFR and other factors.
In women, eGFR determined by the MDRD equation was inversely associated with height (β = -0.08; p = 0.012), lean mass percentage (β = -0.06; p = 0.047) and handgrip strength (β = -0.15; p < 0.001) and eGFR calculated using the CKD-EPI equation was inversely associated with handgrip strength (β = -0.08; p = 0.001). In men, there was an inverse association between eGFR by the MDRD equation and lean mass percentage (β = -0.10; p = 0.013) and handgrip strength (β = -0.12; p = 0.022) and between eGFR by the CKD-EPI equation and lean mass percentage (β = -0.07; p = 0.018). The R(2) for these variables was <0.02.
The inverse relationship between eGFR and measures of lean mass percentage and handgrip strength suggests that incorporation of these variables might improve eGFR prediction from serum creatinine in the general population. This effect appears to be small however and needs to be examined in studies that include measured GFR.
DescriptionTo access publisher's full text version of this article. Please click on the hyperlink in Additional Links field.
RightsArchived with thanks to Nephron. Clinical practice
- Validation of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in advanced chronic renal failure.
- Authors: Teruel Briones JL, Gomis Couto A, Sabater J, Fernández Lucas M, Rodríguez Mendiola N, Villafruela JJ, Quereda C
- Issue date: 2011
- The need for robust validation for MDRD-based glomerular filtration rate estimation in various CKD populations.
- Authors: Praditpornsilpa K, Townamchai N, Chaiwatanarat T, Tiranathanagul K, Katawatin P, Susantitaphong P, Trakarnvanich T, Kanjanabuch T, Avihingsanon Y, Tungsanga K, Eiam-Ong S
- Issue date: 2011 Sep
- Validation of the Lund-Malmö, Chronic Kidney Disease Epidemiology (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) equations to estimate glomerular filtration rate in a large Swedish clinical population.
- Authors: Björk J, Jones I, Nyman U, Sjöström P
- Issue date: 2012 Jun
- Prevalence of chronic kidney disease based on estimated glomerular filtration rate and proteinuria in Icelandic adults.
- Authors: Viktorsdottir O, Palsson R, Andresdottir MB, Aspelund T, Gudnason V, Indridason OS
- Issue date: 2005 Sep
- Clinical risk implications of the CKD Epidemiology Collaboration (CKD-EPI) equation compared with the Modification of Diet in Renal Disease (MDRD) Study equation for estimated GFR.
- Authors: Matsushita K, Tonelli M, Lloyd A, Levey AS, Coresh J, Hemmelgarn BR, Alberta Kidney Disease Network.
- Issue date: 2012 Aug