Optimized fasting and OGTT-based simple surrogate methods for assessing insulin sensitivity


Abstract:

Aims: Simple surrogate indices of insulin sensitivity have been conceived to deal with costly and complicated approaches, such as the hyperinsulinemic-euglycemic clamp; however, their use has not been widespread given their variabilities in different populations. In this paper, we present two simple surrogate indices, one that uses fasting glucose and insulin values and the other based on the values from the oral glucose tolerance test. Materials and methods: The proposed methods integrate easy-to-obtain anthropometric measures. Evolutionary algorithms were used to optimize the proposed methods by maximizing its correlation with the Stumvoll MCR method. Results and conclusion: When the proposed indices were applied to three study groups (control subjects, metabolic syndrome, marathon runners), a reduction in the intergroup variability of the insulin sensitivity was obtained. Moreover, the proposed index based on the oral glucose tolerance test (OGTT), which considers the glucose metabolism process and the hepatic and peripheral insulin sensitivity, showed stronger correlations with the Stumvoll method and lower intergroup variability than the fasting one.

Año de publicación:

2019

Keywords:

  • Metabolic syndrome
  • Insulin sensitivity
  • Oral glucose tolerance test
  • evolutionary algorithm
  • Statistical Analysis

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Diabetes
  • Fisiología

Áreas temáticas:

  • Farmacología y terapéutica
  • Fisiología humana
  • Enfermedades