Evidence map›Paper›PMID 42386210›Full record

ArticleEquine veterinary journal2026

Prevalence of insulin dysregulation in a sport horse population as determined by traditional and stall-side testing.

Kimberly L Hallowell, Caitlyn R Horne, Cary S Miller, Sara R Tufts, Katarzyna Dembek, Kim R Love, Andrew W van Eps, Lauren V Schnabel

Abstract read
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Article in Equine veterinary journal, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kimberly L HallowellDepartment of Clinical Sciences, North Carolina State University College of Veterinary Medicine, Raleigh, North Carolina, USA.ORCID https://orcid.org/0009-0005-0999-1925
Caitlyn R HorneDepartment of Clinical Sciences, North Carolina State University College of Veterinary Medicine, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0003-3065-6345
Cary S MillerDepartment of Clinical Sciences, North Carolina State University College of Veterinary Medicine, Raleigh, North Carolina, USA.
Sara R TuftsDepartment of Clinical Sciences, North Carolina State University College of Veterinary Medicine, Raleigh, North Carolina, USA.ORCID https://orcid.org/0009-0005-4032-9876
Katarzyna DembekDepartment of Clinical Sciences, North Carolina State University College of Veterinary Medicine, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0002-8499-5054
Kim R LoveK. R. Love Quantitative Consulting and Collaboration, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-5912-9525
Andrew W van EpsDepartment of Clinical Studies, New Bolton Center, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-6108-2503
Lauren V SchnabelDepartment of Clinical Sciences, North Carolina State University College of Veterinary Medicine, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0002-1993-8141

Funding

Comparative Medicine and Translational Research Training ProgramT32OD011130 · OD · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Lauren Virginia Schnabel · 2012 to 2026
$7.8M
FORGE - Fund for Orthopedic Research in honor of Gus and Equine athletesFoundation for the HorseHerbert Benjamin EndowmentNIH HHS T32 OD011130NIH HHS T32OD011130Wellness Ready
6 · The paper itself

Abstract

backgroundThe prevalence of insulin dysregulation (ID) has not been investigated in sport horses. Stall-side insulin assays offer convenience but need further validation.

objectivesTo determine the prevalence of and risk factors for ID in a sport horse population using an oral sugar test (OST) and assess agreement between stall-side and validated laboratory assays for insulin quantification. STUDY

designProspective cross-sectional study.

methodsOne hundred eighty sport horses presenting for orthopaedic evaluation at a university hospital (N = 140) or local farms (N = 40) were tested for ID using OST (0.15 mL/kg light corn syrup). Morphometric data were collected, and baseline serum leptin and adiponectin concentrations were measured. Insulin concentrations were measured using the validated fluorescence enzyme immunoassay (FEIA) and a stall-side lateral flow assay (LFA). ID was diagnosed if FEIA insulin measured >20 μIU/mL at T0 or >30 μIU/mL at T60/T90. Factors associated with ID were assessed using a mixed effects binary logistic regression model. Assay agreement was assessed using Pearson's correlation coefficient and Bland-Altman plot. Receiver operator characteristic curve analysis was performed to determine diagnostic cut-offs for LFA.

resultsID was diagnosed in 22.8% (41/180) of horses. Only 11/41 ID horses had increased fasted insulin. Increasing leptin/adiponectin ratio in males was the only significant predictor of ID (OR = 1.102, 95% CI 1.036-1.171). Correlation between FEIA and LFA insulin measures was good (r = 0.81, 95% CI 0.78-0.84), but the LFA read on average 13.62 μIU/mL higher than the FEIA and had greater variability at higher insulin concentrations. Area under the ROC curve showed the LFA was excellent at correctly classifying ID status (AUC = 0.95, 95% CI 0.93-0.97). MAIN LIMITATIONS: Single-centre study, voluntary enrolment may overestimate ID prevalence.

conclusionsID is common in sport horses and often requires dynamic insulin testing to diagnose. Physical appearance does not predict ID risk. Agreement between stall-side and laboratory assays is good.

Indexed as

endocrineequine metabolic syndromehorsehyperinsulinemialateral flow assay

Identifiers

PMID42386210
PMCPMC13621224

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.