ogttMetrics

ogttMetrics computes quantitative measures of glucose metabolism from oral glucose tolerance test (OGTT) data for use in clinical and epidemiological studies.

Key Features:

• Data organization and visualization: Organizes OGTT datasets and provides visualization of time-series glucose and insulin measurements.
• Comparative analysis: Enables group-level comparisons of OGTT-derived metrics across cohorts and study groups.
• Parameter estimation (Bergman minimal model): Implements parameter estimation for the Bergman minimal model and addresses numerical difficulties with alternative estimation approaches.
• Simplified indices (Matsuda index): Computes closed-form indices such as the Matsuda index as a simplified proxy for insulin sensitivity.

Scientific Applications:

• Clinical trials: Evaluates effects of interventions on OGTT-derived glucose and insulin metrics in clinical studies.
• Epidemiological and cohort studies: Supports large-scale analyses of glucose metabolism and insulin sensitivity in population cohorts.
• Dietary intervention and glycemic index research: Assesses effects of dietary carbohydrate content and glycemic index on OGTT responses.
• Insulin sensitivity assessment and diabetes risk stratification: Ranks individuals by insulin sensitivity and aids identification of risk factors for diabetes and metabolic disorders.

Methodology:

Computational methods include calculation of multiple OGTT-derived measures, parameter estimation for the Bergman minimal model with attention to numerical issues and alternative estimation approaches, computation of closed-form indices such as the Matsuda index, and handling of large OGTT datasets for group comparisons.