Literature DB >> 31554591

Comparison of fasted basal insulin with the combined glucose-insulin test in horses and ponies with suspected insulin dysregulation.

R B Olley1, H B Carslake1, J L Ireland1, C M McGowan2.   

Abstract

Fasting horses for measurement of basal serum insulin concentration (fasting insulin; FI) has been recommended to standardise testing for insulin dysregulation (ID), yet limited data exist comparing it to dynamic tests. This study aimed to compare FI with the combined glucose-insulin test (CGIT) in horses suspect for ID. We hypothesised that FI would have poor sensitivity for detecting ID compared to CGIT using conventional cut-offs. Records were retrieved from CGITs performed in horses fasted for approximately 8h. Serum insulin and glucose concentrations were measured before and for 150min following an IV bolus of glucose followed by insulin. Correlations between FI and CGIT values were assessed. Youden's index analysis was used to determine the optimal cut-off for FI. Logistic regression and Mann-Whitney U tests were used to determine factors affecting the results. CGITs (n=130) from 62 horses were evaluated. Compared to CGIT, sensitivity and specificity of FI for diagnosis of ID were 14.6% and 100% at a cut-off of 20μIU/mL and 63.4% and 87.2% at a cut-off of 5.2μIU/mL, respectively. FI was significantly correlated with insulin at 45min (rs=0.66) and 75min (rs=0.72); area under the curve for insulin (AUCinsulin; rs=0.67); glucose at 45min (rs=0.53); and AUCglucose (rs=0.50). Obesity was significantly associated with increased odds of a positive CGIT and horses with a positive CGIT were significantly older (P<0.05). In conclusion, FI correlated well with CGIT results and had adequate sensitivity and specificity at lower cut-offs, despite poor sensitivity at conventional cut-off values. Further research to derive cut-off values relevant to the fasting period is warranted.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dynamic testing; Endocrine; Equine Metabolic Syndrome (EMS); Insulin resistance

Year:  2019        PMID: 31554591     DOI: 10.1016/j.tvjl.2019.105351

Source DB:  PubMed          Journal:  Vet J        ISSN: 1090-0233            Impact factor:   2.688


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