Literature DB >> 32037140

The Sick Adult Horse: Renal Clinical Pathologic Testing and Urinalysis.

Harold C Schott1, Melissa M Esser2.   

Abstract

Clinicopathologic evaluation of renal function and renal disease in sick adult horses remains grounded in detection of azotemia, assessment of serum and urine electrolyte concentrations, and evaluation of urinalysis findings, including specific gravity, reagent strip analysis, and sediment examination. Because increases in serum or plasma urea nitrogen and creatinine concentrations are insensitive indicators of a decreased glomerular filtration rate, there is considerable interest in identifying novel biomarkers of renal function or injury in blood and urine, with serum symmetric dimethylarginine concentration being the most recent addition to the commercial market.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute kidney injury; Azotemia; Chronic kidney disease; Enzymuria; Furosemide; Symmetric dimethylarginine; Urine-specific gravity

Mesh:

Substances:

Year:  2020        PMID: 32037140     DOI: 10.1016/j.cveq.2019.12.003

Source DB:  PubMed          Journal:  Vet Clin North Am Equine Pract        ISSN: 0749-0739            Impact factor:   1.792


  4 in total

1.  Detecting acute kidney injury in horses by measuring the concentration of symmetric dimethylarginine in serum.

Authors:  Natalia Siwinska; Agnieszka Zak; Urszula Paslawska
Journal:  Acta Vet Scand       Date:  2021-01-15       Impact factor: 1.695

Review 2.  Biomarkers of Kidney Disease in Horses: A Review of the Current Literature.

Authors:  Gaby van Galen; Emil Olsen; Natalia Siwinska
Journal:  Animals (Basel)       Date:  2022-10-05       Impact factor: 3.231

3.  Evaluation of Serum and Urine Neutrophil Gelatinase-associated Lipocalin and Cystatin C as Biomarkers of Acute Kidney Injury in Horses.

Authors:  Natalia Siwińska; Agnieszka Żak; Urszula Pasławska
Journal:  J Vet Res       Date:  2021-05-16       Impact factor: 1.744

4.  Evaluation of podocin in urine in horses using qualitative and quantitative methods.

Authors:  Natalia Siwińska; Urszula Pasławska; Remigiusz Bąchor; Barbara Szczepankiewicz; Agnieszka Żak; Paulina Grocholska; Zbigniew Szewczuk
Journal:  PLoS One       Date:  2020-10-15       Impact factor: 3.240

  4 in total

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