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BackgroundProxies are mathematical calculations based on fasting glucose and/or insulin concentrations developed to allow prediction of insulin sensitivity (IS) and beta -cell response. These proxies have not been evaluated in horses with insulin dysregulation. The first objective of this study was to evaluate how fasting insulin (FI) and proxies for IS (1/Insulin, reciprocal of the square root of insulin (RISQI) and the quantitative insulin sensitivity check index (QUICKI)) and beta -cell response (the modified insulin-to-glucose ratio (MIRG) and the homeostatic model assessment of beta -cell function (HOMA-beta)) were correlated to measures of IS (M index) using the euglycemic hyperinsulinemic clamp (EHC) in horses with insulin resistance (IR) and normal IS. A second objective was to evaluate the repeatability of FI and proxies in horses based on sampling on consecutive days. The last objective was to investigate the most appropriate cut-off value for the proxies and FI.ResultsThirty-four horses were categorized as IR and 26 as IS based on the M index. The proxies and FI had coefficients of variation (CVs)<= 25.3% and very good reliability (intraclass correlation coefficients >= 0.89). All proxies and FI were good predictors of the M index (r=0.76-0.85; P<0.001). The proxies for IS had a positive linear relationship with the M index whereas proxies for -cell response and FI had an inverse relationship with the M index. Cut-off values to distinguish horses with IR from horses with normal IS based on the M index were established for all proxies and FI using receiver operating characteristic curves, with sensitivity between 79% and 91% and specificity between 85% and 96%. The cut-off values to predict IR were <0.32 (RISQI), < 0.33 (QUICKI) and >9.5 mu IU/mL for FI.ConclusionsAll proxies and FI provided repeatable estimates of horses' IS. However, there is no advantage of using proxies instead of FI to estimate IR in the horse. Due to the

BackgroundProxies are mathematical calculations based on fasting glucose and/or insulin concentrations developed to allow prediction of insulin sensitivity (IS) and beta -cell response. These proxies have not been evaluated in horses with insulin dysregulation. The first objective of this study was to evaluate how fasting insulin (FI) and proxies for IS (1/Insulin, reciprocal of the square root of insulin (RISQI) and the quantitative insulin sensitivity check index (QUICKI)) and beta -cell response (the modified insulin-to-glucose ratio (MIRG) and the homeostatic model assessment of beta -cell function (HOMA-beta)) were correlated to measures of IS (M index) using the euglycemic hyperinsulinemic clamp (EHC) in horses with insulin resistance (IR) and normal IS. A second objective was to evaluate the repeatability of FI and proxies in horses based on sampling on consecutive days. The last objective was to investigate the most appropriate cut-off value for the proxies and FI.ResultsThirty-four horses were categorized as IR and 26 as IS based on the M index. The proxies and FI had coefficients of variation (CVs)<= 25.3% and very good reliability (intraclass correlation coefficients >= 0.89). All proxies and FI were good predictors of the M index (r=0.76-0.85; P<0.001). The proxies for IS had a positive linear relationship with the M index whereas proxies for -cell response and FI had an inverse relationship with the M index. Cut-off values to distinguish horses with IR from horses with normal IS based on the M index were established for all proxies and FI using receiver operating characteristic curves, with sensitivity between 79% and 91% and specificity between 85% and 96%. The cut-off values to predict IR were <0.32 (RISQI), < 0.33 (QUICKI) and >9.5 mu IU/mL for FI.ConclusionsAll proxies and FI provided repeatable estimates of horses' IS. However, there is no advantage of using proxies instead of FI to estimate IR in the horse. Due to the

BackgroundProxies are mathematical calculations based on fasting glucose and/or insulin concentrations developed to allow prediction of insulin sensitivity (IS) and beta -cell response. These proxies have not been evaluated in horses with insulin dysregulation. The first objective of this study was to evaluate how fasting insulin (FI) and proxies for IS (1/Insulin, reciprocal of the square root of insulin (RISQI) and the quantitative insulin sensitivity check index (QUICKI)) and beta -cell response (the modified insulin-to-glucose ratio (MIRG) and the homeostatic model assessment of beta -cell function (HOMA-beta)) were correlated to measures of IS (M index) using the euglycemic hyperinsulinemic clamp (EHC) in horses with insulin resistance (IR) and normal IS. A second objective was to evaluate the repeatability of FI and proxies in horses based on sampling on consecutive days. The last objective was to investigate the most appropriate cut-off value for the proxies and FI.ResultsThirty-four horses were categorized as IR and 26 as IS based on the M index. The proxies and FI had coefficients of variation (CVs)<= 25.3% and very good reliability (intraclass correlation coefficients >= 0.89). All proxies and FI were good predictors of the M index (r=0.76-0.85; P<0.001). The proxies for IS had a positive linear relationship with the M index whereas proxies for -cell response and FI had an inverse relationship with the M index. Cut-off values to distinguish horses with IR from horses with normal IS based on the M index were established for all proxies and FI using receiver operating characteristic curves, with sensitivity between 79% and 91% and specificity between 85% and 96%. The cut-off values to predict IR were <0.32 (RISQI), < 0.33 (QUICKI) and >9.5 mu IU/mL for FI.ConclusionsAll proxies and FI provided repeatable estimates of horses' IS. However, there is no advantage of using proxies instead of FI to estimate IR in the horse. Due to the

BackgroundProxies are mathematical calculations based on fasting glucose and/or insulin concentrations developed to allow prediction of insulin sensitivity (IS) and beta -cell response. These proxies have not been evaluated in horses with insulin dysregulation. The first objective of this study was to evaluate how fasting insulin (FI) and proxies for IS (1/Insulin, reciprocal of the square root of insulin (RISQI) and the quantitative insulin sensitivity check index (QUICKI)) and beta -cell response (the modified insulin-to-glucose ratio (MIRG) and the homeostatic model assessment of beta -cell function (HOMA-beta)) were correlated to measures of IS (M index) using the euglycemic hyperinsulinemic clamp (EHC) in horses with insulin resistance (IR) and normal IS. A second objective was to evaluate the repeatability of FI and proxies in horses based on sampling on consecutive days. The last objective was to investigate the most appropriate cut-off value for the proxies and FI.ResultsThirty-four horses were categorized as IR and 26 as IS based on the M index. The proxies and FI had coefficients of variation (CVs)<= 25.3% and very good reliability (intraclass correlation coefficients >= 0.89). All proxies and FI were good predictors of the M index (r=0.76-0.85; P<0.001). The proxies for IS had a positive linear relationship with the M index whereas proxies for -cell response and FI had an inverse relationship with the M index. Cut-off values to distinguish horses with IR from horses with normal IS based on the M index were established for all proxies and FI using receiver operating characteristic curves, with sensitivity between 79% and 91% and specificity between 85% and 96%. The cut-off values to predict IR were <0.32 (RISQI), < 0.33 (QUICKI) and >9.5 mu IU/mL for FI.ConclusionsAll proxies and FI provided repeatable estimates of horses' IS. However, there is no advantage of using proxies instead of FI to estimate IR in the horse. Due to the

BackgroundProxies are mathematical calculations based on fasting glucose and/or insulin concentrations developed to allow prediction of insulin sensitivity (IS) and beta -cell response. These proxies have not been evaluated in horses with insulin dysregulation. The first objective of this study was to evaluate how fasting insulin (FI) and proxies for IS (1/Insulin, reciprocal of the square root of insulin (RISQI) and the quantitative insulin sensitivity check index (QUICKI)) and beta -cell response (the modified insulin-to-glucose ratio (MIRG) and the homeostatic model assessment of beta -cell function (HOMA-beta)) were correlated to measures of IS (M index) using the euglycemic hyperinsulinemic clamp (EHC) in horses with insulin resistance (IR) and normal IS. A second objective was to evaluate the repeatability of FI and proxies in horses based on sampling on consecutive days. The last objective was to investigate the most appropriate cut-off value for the proxies and FI.ResultsThirty-four horses were categorized as IR and 26 as IS based on the M index. The proxies and FI had coefficients of variation (CVs)<= 25.3% and very good reliability (intraclass correlation coefficients >= 0.89). All proxies and FI were good predictors of the M index (r=0.76-0.85; P<0.001). The proxies for IS had a positive linear relationship with the M index whereas proxies for -cell response and FI had an inverse relationship with the M index. Cut-off values to distinguish horses with IR from horses with normal IS based on the M index were established for all proxies and FI using receiver operating characteristic curves, with sensitivity between 79% and 91% and specificity between 85% and 96%. The cut-off values to predict IR were <0.32 (RISQI), < 0.33 (QUICKI) and >9.5 mu IU/mL for FI.ConclusionsAll proxies and FI provided repeatable estimates of horses' IS. However, there is no advantage of using proxies instead of FI to estimate IR in the horse. Due to the