Journal of Feline Medicine and Surgery · 2005 · 84 citations · 33 references
NutritionGlucose Tolerance LevelsHomeostatic MechanismGlucose ToleranceArtificial PancreasInsulin SignalingObesityMetabolic SyndromeBody CompositionBiostatisticsBasal Plasma InsulinPublic HealthHomeostasis Model AssessmentAnimal PhysiologyDiabetes ManagementInsulin ManagementEndocrinologyInsulin SensitivityPhysiologyDiabetesVeterinary ScienceImpaired Glucose ToleranceBlood Glucose MonitoringDiabetes MellitusMedicine
The objective of this study was to compare simpler indices of insulin sensitivity with the minimal model-derived insulin sensitivity index to identify a simple and reliable alternative method for assessing insulin sensitivity in cats. In addition, we aimed to determine whether this simpler measure or measures showed consistency of association across differing body weights and glucose tolerance levels. Data from glucose tolerance and insulin sensitivity tests performed in 32 cats with varying body weights (underweight to obese), including seven cats with impaired glucose tolerance, were used to assess the relationship between Bergman's minimal model-derived insulin sensitivity index (S(I)), and various simpler measures of insulin sensitivity. The most useful overall predictors of insulin sensitivity were basal plasma insulin concentrations and the homeostasis model assessment (HOMA), which is the product of basal glucose and insulin concentrations divided by 22.5. It is concluded that measurement of plasma insulin concentrations in cats with food withheld for 24 h, in conjunction with HOMA, could be used in clinical research projects and by practicing veterinarians to screen for reduced insulin sensitivity in cats. Such cats may be at increased risk of developing impaired glucose tolerance and type 2 diabetes mellitus. Early detection of these cats would enable preventative intervention programs such as weight reduction, increased physical activity and dietary modifications to be instigated.
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Procedures for Detecting Outlying Observations in Samples
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