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

Area of Science:

• Metabolic Research
• Endocrinology
• Biomedical Engineering

Background:

• Insulin sensitivity assessment is crucial for metabolic health.
• Hyperinsulinemic-euglycemic clamp is accurate but complex and costly.
• Existing surrogate indices exhibit population-specific variabilities.

Purpose of the Study:

• Develop and validate simple surrogate indices for insulin sensitivity.
• Improve upon existing indices by reducing intergroup variability.
• Compare fasting and oral glucose tolerance test (OGTT) based indices.

Main Methods:

• Integrated anthropometric measures with glucose and insulin values.
• Utilized evolutionary algorithms for index optimization.
• Validated against the Stumvoll MCR method across diverse populations.

Main Results:

• Achieved reduced intergroup variability in insulin sensitivity estimates.
• The OGTT-based index demonstrated stronger correlations with the Stumvoll method.
• Fasting-based index also showed reduced variability, but less effectively than the OGTT index.

Conclusions:

• Proposed indices offer a simpler, more accessible alternative for insulin sensitivity measurement.
• The OGTT-based index is superior due to its comprehensive assessment of glucose metabolism and insulin action.
• These indices have potential for widespread clinical and research application.