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Evaluation of Four Diagnostic Tests for Insulin Dysregulation in Adult Light‐Breed Horses

BACKGROUND: Several tests have been evaluated in horses for quantifying insulin dysregulation to support a diagnosis of equine metabolic syndrome. Comparing the performance of these tests in the same horses will provide clarification of their accuracy in the diagnosis of equine insulin dysregulation...

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Autores principales: Dunbar, L.K., Mielnicki, K.A., Dembek, K.A., Toribio, R.E., Burns, T.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913564/
https://www.ncbi.nlm.nih.gov/pubmed/27013065
http://dx.doi.org/10.1111/jvim.13934
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author Dunbar, L.K.
Mielnicki, K.A.
Dembek, K.A.
Toribio, R.E.
Burns, T.A.
author_facet Dunbar, L.K.
Mielnicki, K.A.
Dembek, K.A.
Toribio, R.E.
Burns, T.A.
author_sort Dunbar, L.K.
collection PubMed
description BACKGROUND: Several tests have been evaluated in horses for quantifying insulin dysregulation to support a diagnosis of equine metabolic syndrome. Comparing the performance of these tests in the same horses will provide clarification of their accuracy in the diagnosis of equine insulin dysregulation. OBJECTIVES: The aim of this study was to evaluate the agreement between basal serum insulin concentrations (BIC), the oral sugar test (OST), the combined glucose‐insulin test (CGIT), and the frequently sampled insulin‐modified intravenous glucose tolerance test (FSIGTT). ANIMALS: Twelve healthy, light‐breed horses. METHODS: Randomized, prospective study. Each of the above tests was performed on 12 horses. RESULTS: Minimal model analysis of the FSIGTT was considered the reference standard and classified 7 horses as insulin resistant (IR) and 5 as insulin sensitive (IS). In contrast, BIC and OST assessment using conventional cut‐off values classified all horses as IS. Kappa coefficients, measuring agreement among BIC, OST, CGIT, and FSIGTT were poor to fair. Sensitivity of the CGIT (positive phase duration of the glucose curve >45 minutes) was 85.7% and specificity was 40%, whereas CGIT ([insulin](45) >100 μIU/mL) sensitivity and specificity were 28.5% and 100%, respectively. Area under the glucose curve (AUC (g0‐120)) was significantly correlated among the OST, CGIT, and FSIGTT, but Bland–Altman method and Lin's concordance coefficient showed a lack of agreement. CONCLUSIONS: Current criteria for diagnosis of insulin resistance using BIC and the OST are highly specific but lack sensitivity. The CGIT displayed better sensitivity and specificity, but modifications may be necessary to improve agreement with minimal model analysis.
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spelling pubmed-49135642016-06-22 Evaluation of Four Diagnostic Tests for Insulin Dysregulation in Adult Light‐Breed Horses Dunbar, L.K. Mielnicki, K.A. Dembek, K.A. Toribio, R.E. Burns, T.A. J Vet Intern Med EQUID BACKGROUND: Several tests have been evaluated in horses for quantifying insulin dysregulation to support a diagnosis of equine metabolic syndrome. Comparing the performance of these tests in the same horses will provide clarification of their accuracy in the diagnosis of equine insulin dysregulation. OBJECTIVES: The aim of this study was to evaluate the agreement between basal serum insulin concentrations (BIC), the oral sugar test (OST), the combined glucose‐insulin test (CGIT), and the frequently sampled insulin‐modified intravenous glucose tolerance test (FSIGTT). ANIMALS: Twelve healthy, light‐breed horses. METHODS: Randomized, prospective study. Each of the above tests was performed on 12 horses. RESULTS: Minimal model analysis of the FSIGTT was considered the reference standard and classified 7 horses as insulin resistant (IR) and 5 as insulin sensitive (IS). In contrast, BIC and OST assessment using conventional cut‐off values classified all horses as IS. Kappa coefficients, measuring agreement among BIC, OST, CGIT, and FSIGTT were poor to fair. Sensitivity of the CGIT (positive phase duration of the glucose curve >45 minutes) was 85.7% and specificity was 40%, whereas CGIT ([insulin](45) >100 μIU/mL) sensitivity and specificity were 28.5% and 100%, respectively. Area under the glucose curve (AUC (g0‐120)) was significantly correlated among the OST, CGIT, and FSIGTT, but Bland–Altman method and Lin's concordance coefficient showed a lack of agreement. CONCLUSIONS: Current criteria for diagnosis of insulin resistance using BIC and the OST are highly specific but lack sensitivity. The CGIT displayed better sensitivity and specificity, but modifications may be necessary to improve agreement with minimal model analysis. John Wiley and Sons Inc. 2016-03-25 2016 /pmc/articles/PMC4913564/ /pubmed/27013065 http://dx.doi.org/10.1111/jvim.13934 Text en Copyright © 2016 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc. on behalf of the American College of Veterinary Internal Medicine. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle EQUID
Dunbar, L.K.
Mielnicki, K.A.
Dembek, K.A.
Toribio, R.E.
Burns, T.A.
Evaluation of Four Diagnostic Tests for Insulin Dysregulation in Adult Light‐Breed Horses
title Evaluation of Four Diagnostic Tests for Insulin Dysregulation in Adult Light‐Breed Horses
title_full Evaluation of Four Diagnostic Tests for Insulin Dysregulation in Adult Light‐Breed Horses
title_fullStr Evaluation of Four Diagnostic Tests for Insulin Dysregulation in Adult Light‐Breed Horses
title_full_unstemmed Evaluation of Four Diagnostic Tests for Insulin Dysregulation in Adult Light‐Breed Horses
title_short Evaluation of Four Diagnostic Tests for Insulin Dysregulation in Adult Light‐Breed Horses
title_sort evaluation of four diagnostic tests for insulin dysregulation in adult light‐breed horses
topic EQUID
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913564/
https://www.ncbi.nlm.nih.gov/pubmed/27013065
http://dx.doi.org/10.1111/jvim.13934
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