cgmquantify

cgmquantify calculates clinically validated metrics and visualizations from continuous glucose monitor (CGM) data to quantify glucose levels and glycemic variability for diabetes research and monitoring.

Key Features:

• Clinically Validated Metrics: Provides 25 functions that calculate 28 clinically validated metrics of glucose and glycemic variability.
• Longitudinal CGM Handling: Processes temporal, longitudinal CGM data to support multiple summary measures over time.
• Standardization and Reproducibility: Implements a consistent framework for CGM metric calculation to enable reproducible and comparable analyses across studies.
• Integration with Research Pipelines: Integrates with the Digital Biomarker Discovery Pipeline and MD2K Cerebral Cortex for incorporation into larger digital biomarker workflows.
• Visualization Tools: Includes functions for generating visualizations of longitudinal CGM data to aid interpretation of glucose dynamics.

Scientific Applications:

• Type 1 Diabetes Research: Quantifies glucose dynamics and glycemic variability to support studies of Type 1 diabetes management and intervention efficacy.
• Digital Biomarker Development: Provides standardized CGM-derived metrics suitable for development and validation of digital biomarkers.
• Glycemic Variability Analysis: Enables systematic analysis of glycemic variability to investigate associations with disease onset, severity, and treatment effects.
• Longitudinal Factor Analysis: Supports exploration of how temporal factors influence glucose trajectories over time.

Methodology:

Functions and metrics were selected based on a comprehensive literature review to ensure inclusion of clinically validated measures.