Relationship between serum iohexol clearance, serum SDMA concentration, and serum creatinine concentration in non-azotemic dogs.


Journal

Journal of veterinary internal medicine
ISSN: 1939-1676
Titre abrégé: J Vet Intern Med
Pays: United States
ID NLM: 8708660

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 30 01 2019
accepted: 23 10 2019
pubmed: 15 11 2019
medline: 22 10 2020
entrez: 15 11 2019
Statut: ppublish

Résumé

Serum creatinine and symmetric dimethylarginine (SDMA) are used as surrogate markers of glomerular filtration rate (GFR) in clinical practice. Data pertaining to the correlations between GFR, SDMA, and serum creatinine in client-owned dogs are limited. To describe the relationship between GFR, SDMA, and serum creatinine in a population of client-owned dogs, and to compare clinical utility of SDMA to GFR estimation for detecting pre-azotemic chronic kidney disease. Medical records of 119 dogs that had GFR estimation performed via serum iohexol clearance between 2012 and 2017. Prospective study using archived samples. GFR, SDMA, and serum creatinine results were reviewed and submitting practices contacted for outcome data. All dogs included in the study population were non-azotemic. Correlations between GFR, SDMA, and serum creatinine were determined by regression analysis. Sensitivity, specificity, and positive and negative likelihood ratios of different cutoffs for SDMA and serum creatinine for detecting decreased GFR were calculated, using a 95% confidence interval. Serum creatinine and SDMA were moderately correlated with GFR (R In non-azotemic dogs being screened for decreased renal function, using a cutoff of >18 μg/dL rather than >14 μg/dL increases the specificity of SDMA, without compromising sensitivity.

Sections du résumé

BACKGROUND BACKGROUND
Serum creatinine and symmetric dimethylarginine (SDMA) are used as surrogate markers of glomerular filtration rate (GFR) in clinical practice. Data pertaining to the correlations between GFR, SDMA, and serum creatinine in client-owned dogs are limited.
OBJECTIVES OBJECTIVE
To describe the relationship between GFR, SDMA, and serum creatinine in a population of client-owned dogs, and to compare clinical utility of SDMA to GFR estimation for detecting pre-azotemic chronic kidney disease.
ANIMALS METHODS
Medical records of 119 dogs that had GFR estimation performed via serum iohexol clearance between 2012 and 2017.
METHODS METHODS
Prospective study using archived samples. GFR, SDMA, and serum creatinine results were reviewed and submitting practices contacted for outcome data. All dogs included in the study population were non-azotemic. Correlations between GFR, SDMA, and serum creatinine were determined by regression analysis. Sensitivity, specificity, and positive and negative likelihood ratios of different cutoffs for SDMA and serum creatinine for detecting decreased GFR were calculated, using a 95% confidence interval.
RESULTS RESULTS
Serum creatinine and SDMA were moderately correlated with GFR (R
CONCLUSIONS AND CLINICAL IMPORTANCE CONCLUSIONS
In non-azotemic dogs being screened for decreased renal function, using a cutoff of >18 μg/dL rather than >14 μg/dL increases the specificity of SDMA, without compromising sensitivity.

Identifiants

pubmed: 31725186
doi: 10.1111/jvim.15659
pmc: PMC6979102
doi:

Substances chimiques

Contrast Media 0
Iohexol 4419T9MX03
symmetric dimethylarginine 49787G1ULV
Arginine 94ZLA3W45F
Creatinine AYI8EX34EU

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

186-194

Informations de copyright

© 2019 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc. on behalf of the American College of Veterinary Internal Medicine.

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Auteurs

Myles McKenna (M)

Department of Clinical Science and Services, Royal Veterinary College, London, United Kingdom.

Ludovic Pelligand (L)

Department of Clinical Science and Services, Royal Veterinary College, London, United Kingdom.

Jonathan Elliott (J)

Department of Comparative Biomedical Sciences, Royal Veterinary College, London, United Kingdom.

Daniel Cotter (D)

Department of Clinical Science and Services, Royal Veterinary College, London, United Kingdom.

Rosanne Jepson (R)

Department of Clinical Science and Services, Royal Veterinary College, London, United Kingdom.

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Classifications MeSH