Evidence map›Paper›PMID 42580714›Full record

ArticleJournal of veterinary internal medicine2026

Short-term mortality prediction based on biochemical blood markers in azotemic cattle with renal disease.

Charly De Campos, Emeline Cote, Manon Gonçalves-Brandão, Marie Noëlle Lucas, Fabien Corbière, Catherine Trumel, François Schelcher

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Article in Journal of veterinary internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Charly De CamposUniversité de Toulouse, ENVT, Toulouse, France.ORCID 0009-0000-4631-9824
Emeline CoteUniversité de Toulouse, ENVT, Toulouse, France.ORCID 0009-0008-7621-6402
Manon Gonçalves-BrandãoUniversité de Toulouse, ENVT, Toulouse, France.
Marie Noëlle LucasLAPVSO, Toulouse, France.ORCID 0009-0008-2561-681X
Fabien CorbièreUniversité de Toulouse, ENVT, Toulouse, France.ORCID 0000-0003-3006-5561
Catherine TrumelCREFRE, Université de Toulouse, INSERM, UPS, ENVT, Toulouse, France.ORCID 0000-0001-9717-5808
François SchelcherUniversité de Toulouse, ENVT, Toulouse, France.ORCID 0000-0001-8822-4292

Funding

Ecoles Nationales Vétérinaires de FranceENVT
6 · The paper itself

Abstract

backgroundRenal disease in cattle is often suspected based on urinalysis and blood biochemical analysis, but prognostic biomarkers for survival are lacking. HYPOTHESIS/

objectivesIdentify blood and urine biomarkers predicting mortality or discharge in azotemic cattle. ANIMALS: Thirty-four azotemic adult cattle referred to the Clinic for Cattle of the National Veterinary School of Toulouse.

methodsIn our prospective cohort study, renal disease was suspected based on clinical signs and azotemia (plasma creatinine concentration > 228 μmol/L and urea concentration > 5 mmol/L) and confirmed by urinalysis or ultrasonography. When death or euthanasia occurred, confirmation was obtained by gross and histologic examination. To construct a decision tree for short-term prognosis, additional biochemical and cytological biomarkers were measured in urine and blood samples collected at hospitalization. Outcomes were defined as favorable (discharge) or unfavorable (death). Correlation analyses, univariate and multivariate statistics, receiver operating characteristic curves, and decision tree modeling were performed.

resultsThirteen cattle survived and 21 died or were euthanized. Mortality was associated with higher plasma symmetric dimethylarginine (SDMA), creatinine, and urea concentrations, as well as hypocalcemia, hypochloremia, and lower hematocrit. Creatinine, SDMA, chloride, and albumin were the most consistent predictors of outcome. A decision tree combining creatinine and SDMA achieved 87.5% accuracy. Animals with plasma creatinine concentration < 605 μmol/L and SDMA < 33 μg/dL had the highest probability of survival. CONCLUSIONS AND CLINICAL IMPORTANCE: Plasma creatinine, urea, SDMA, chloride, and albumin concentrations are promising short-term prognostic biomarkers in azotemic cattle. Combined SDMA and creatinine assessment may assist clinical decision-making.

Indexed as

AzotemiaCattle DiseasesKidney DiseasesAnimalsArginineBiomarkersCattleCreatinineDecision TreesFemaleMalePrognosisProspective StudiesUreaArginineBiomarkersCreatininesymmetric dimethylarginineUreaazotemiabiochemical markerscattlekidney diseasepredictorsSDMA

Identifiers

PMID42580714
PMCPMC13461221

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