Literature DB >> 25146661

Measurement of glomerular filtration rate in cats: methods and advantages over routine markers of renal function.

Natalie Finch1.   

Abstract

PRACTICAL RELEVANCE: Routinely used markers of renal function in clinical practice include urea and creatinine. However, these are insensitive markers, particularly in the early stages of kidney disease. Measurement of glomerular filtration rate (GFR) is regarded as the most sensitive index of functioning renal mass. It may be useful for feline patients in varying clinical scenarios; for example, where a more accurate measurement of renal function may aid diagnosis, to enable response to therapeutic interventions to be more closely monitored, or to evaluate renal function prior to the use of nephrotoxic or renally cleared drugs. CLINICAL CHALLENGES: Traditional methods of measuring GFR, such as renal clearance or multisample plasma clearance techniques, are generally impractical for clinical use. Limited sampling and single sample plasma clearance methods using the filtration marker iohexol have been validated in cats. These have the advantages of reduced stress to cats associated with repeated sampling and reduced costs of analysis, and therefore offer greater clinical utility. Attempts to develop an estimated GFR (eGFR) formula similar to that used in human patients have been made in cats, although currently an accurate and reliable formula is not available. AUDIENCE: This review presents the basis for the theoretical understanding and practical measurement of GFR for any veterinary practitioner wishing to obtain a more accurate and sensitive assessment of renal function than routinely used markers provide. EVIDENCE BASE: The review draws evidence from peer-reviewed publications, the author's PhD thesis and also clinical experience. © ISFM and AAFP 2014.

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Year:  2014        PMID: 25146661     DOI: 10.1177/1098612X14545274

Source DB:  PubMed          Journal:  J Feline Med Surg        ISSN: 1098-612X            Impact factor:   2.015


  14 in total

1.  Relationship between ultrasonographically determined renal dimensions and International Renal Interest Society stages in cats with chronic kidney disease.

Authors:  Gong-Yi Yan; Kuan-Yo Chen; Hsien-Chi Wang; Tzu-Yi Ma; Kuan-Sheng Chen
Journal:  J Vet Intern Med       Date:  2020-06-25       Impact factor: 3.333

2.  Urine hemojuvelin in cats with naturally occurring kidney disease.

Authors:  Hwei Jing; Wei-Li Hsu; Vin-Cent Wu; Han-Ju Tsai; Shang-Feng Tsai; Pei-Shiue Jason Tsai; Tai-Shuan Lai; Ya-Jane Lee
Journal:  J Vet Intern Med       Date:  2020-04-23       Impact factor: 3.333

3.  Assessment of symmetric dimethylarginine as a biomarker of renal function in hyperthyroid cats treated with radioiodine.

Authors:  Eva Buresova; Emmelie Stock; Dominique Paepe; Lisa Stammeleer; Eva Vandermeulen; Pascale Smets; Luc Duchateau; Herve P Lefebvre; Sylvie Daminet
Journal:  J Vet Intern Med       Date:  2019-01-11       Impact factor: 3.333

4.  Diagnostic potential of simplified methods for measuring glomerular filtration rate to detect chronic kidney disease in dogs.

Authors:  Paola Pocar; Paola Scarpa; Anna Berrini; Petra Cagnardi; Rita Rizzi; Vitaliano Borromeo
Journal:  J Vet Intern Med       Date:  2019-08-24       Impact factor: 3.333

5.  Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning.

Authors:  Richard Bradley; Ilias Tagkopoulos; Minseung Kim; Yiannis Kokkinos; Theodoros Panagiotakos; James Kennedy; Geert De Meyer; Phillip Watson; Jonathan Elliott
Journal:  J Vet Intern Med       Date:  2019-09-26       Impact factor: 3.333

6.  Risk factors associated with disturbances of calcium homeostasis after initiation of a phosphate-restricted diet in cats with chronic kidney disease.

Authors:  Pak-Kan Tang; Rebecca F Geddes; Yu-Mei Chang; Rosanne E Jepson; Esther Bijsmans; Jonathan Elliott
Journal:  J Vet Intern Med       Date:  2020-12-24       Impact factor: 3.175

7.  Development of an estimated glomerular filtration rate formula in cats.

Authors:  Natalie C Finch; Harriet M Syme; Jonathan Elliott
Journal:  J Vet Intern Med       Date:  2018-10-30       Impact factor: 3.333

8.  Early Renal Involvement in Cats with Natural Feline Morbillivirus Infection.

Authors:  Paolo Emidio Crisi; Francesco Dondi; Eliana De Luca; Morena Di Tommaso; Kateryna Vasylyeva; Enea Ferlizza; Giovanni Savini; Alessia Luciani; Daniela Malatesta; Alessio Lorusso; Andrea Boari
Journal:  Animals (Basel)       Date:  2020-05-10       Impact factor: 2.752

9.  Fibroblast growth factor 23 and symmetric dimethylarginine concentrations in geriatric cats.

Authors:  Hannah J Sargent; Rosanne E Jepson; Yu-Mei Chang; Vincent C Biourge; Esther S Bijsmans; Jonathan Elliott
Journal:  J Vet Intern Med       Date:  2019-09-30       Impact factor: 3.333

10.  An artificial neural network-based model to predict chronic kidney disease in aged cats.

Authors:  Vincent Biourge; Sebastien Delmotte; Alexandre Feugier; Richard Bradley; Molly McAllister; Jonathan Elliott
Journal:  J Vet Intern Med       Date:  2020-09-07       Impact factor: 3.333

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