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Estimating Glomerular Filtration Rate in Older People

Authors: Sabrina Garasto; Sergio Fusco; Francesco Corica; Maria Rosignuolo; Antonio Marino; Alberto Montesanto; Francesco De Rango; +4 Authors

Estimating Glomerular Filtration Rate in Older People

Abstract

We aimed at reviewing age-related changes in kidney structure and function, methods for estimating kidney function, and impact of reduced kidney function on geriatric outcomes, as well as the reliability and applicability of equations for estimating glomerular filtration rate (eGFR) in older patients. CKD is associated with different comorbidities and adverse outcomes such as disability and premature death in older populations. Creatinine clearance and other methods for estimating kidney function are not easy to apply in older subjects. Thus, an accurate and reliable method for calculating eGFR would be highly desirable for early detection and management of CKD in this vulnerable population. Equations based on serum creatinine, age, race, and gender have been widely used. However, these equations have their own limitations, and no equation seems better than the other ones in older people. New equations specifically developed for use in older populations, especially those based on serum cystatin C, hold promises. However, further studies are needed to definitely accept them as the reference method to estimate kidney function in older patients in the clinical setting.

Keywords

Genetics and Molecular Biology (all), Aged, 80 and over, Male, Aging, chronic kidney disease; comorbidity; geriatrics; outcome assessment, Aging; Glomerular filtration rate, Immunology and Microbiology (all), Medicine (all), 610, Review Article, Biochemistry, 618, 80 and over, Humans, Female, Human, Aged, Glomerular Filtration Rate

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
46
Top 10%
Top 10%
Top 10%
Green
gold