Estimating glomerular filtration rate in a population-based study

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Estimating glomerular filtration rate in a population-based study

BACKGROUND Glomerular filtration rate (GFR)-estimating equations are used to determine the prevalence of chronic kidney disease (CKD) in population-based studies. However, it has been suggested that since the commonly used GFR equations were originally developed from samples of patients with CKD, they underestimate GFR in healthy populations. Few studies have made side-by-side comparisons of th...

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Estimating Glomerular Filtration Rate in Older People

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 pre...

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Evaluation of Glomerular Filtration Rate Estimating Formulas in Diabetic Patients with Chronic Kidney Disease

Objective: Measurement of glomerular filtration rate (GFR) is the best determinant in assessment of kidney function for diagnostic and therapeutic purposes. As extremely accurate methods of GFR measurement (i.e. Inulin clearance) are expensive and Time-consuming and due to limitations of the 24 hour urine collection method, some formula have been developed for the GFR measurement. Here we have ...

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Cystatin C as a biomarker for estimating glomerular filtration rate.

PURPOSE OF REVIEW Glomerular filtration rate (GFR) is rarely measured in clinical practice because of the complexity of the measurement. As such, kidney function is typically estimated using validated study equations, which use readily available data including age, sex, race, and serum creatinine as filtration marker. Contemporary research suggests that cystatin C may be an improved alternative...

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ژورنال

عنوان ژورنال: Vascular Health and Risk Management

سال: 2010

ISSN: 1178-2048

DOI: 10.2147/vhrm.s11269