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Glomerular Filtration Rate and its Regulation

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Related Experiment Video

Updated: Jul 7, 2026

A High-throughput Method for Measurement of Glomerular Filtration Rate in Conscious Mice

A High-throughput Method for Measurement of Glomerular Filtration Rate in Conscious Mice

Published on: May 10, 2013

Prediction equations to estimate glomerular filtration rate: an update.

G Manjunath¹, M J Sarnak, A S Levey

¹Department of Medicine, Tufts University School of Medicine, Boston, Massachusetts 02111, USA.

Current Opinion in Nephrology and Hypertension

|November 14, 2001

Summary

Estimating glomerular filtration rate (GFR) using prediction equations is more accurate than measuring creatinine clearance. The Modification of Diet in Renal Disease (MDRD) study equation offers improved accuracy for clinical practice.

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Last Updated: Jul 7, 2026

A High-throughput Method for Measurement of Glomerular Filtration Rate in Conscious Mice

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Area of Science:

Nephrology
Clinical Chemistry

Background:

Glomerular filtration rate (GFR) is a key indicator of kidney function.
Accurate GFR estimation is crucial for diagnosing and managing kidney disease.

Purpose of the Study:

To evaluate the accuracy of a new GFR prediction equation derived from the Modification of Diet in Renal Disease (MDRD) study.
To compare the performance of the MDRD equation against existing GFR estimation methods.

Main Methods:

Utilized multivariable regression techniques to develop prediction equations for GFR.
Compared the accuracy of the new MDRD equation with other established equations and direct creatinine clearance measurements.

Main Results:

The MDRD study equation demonstrated superior accuracy in estimating GFR compared to previous prediction equations.
The new equation proved more accurate than direct measurement of creatinine clearance.

Conclusions:

The authors recommend the adoption of prediction equations, specifically the MDRD equation, for routine clinical practice.
Implementing accurate GFR estimation methods can improve patient care and kidney disease management.