CGM Report

Upload your CGM CSV file and select a date range. View an aggregate glucose profile (Ambulatory Glucose Profile), baseline glucose, GMI, and time-in-range.

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Ambulatory Glucose Profile (AGP)ℹ️

Select a specific day to view glucose traces. Optionally overlay logged events to see post-meal glucose responses.

Select a Day

Browse a table of calculated metrics for each logged food event. Export to CSV for further analysis.

Event AUC Metrics
Download as CSV

Explore risk indices (LBGI/HBGI), rate-of-change histogram, and a Poincaré plot showing glycemic variability.

Overview

This app helps clinicians and patients analyze uploaded Continuous Glucose Monitoring (CGM) data. It enables both high-level summary and detailed event-by-event insights into glycemic patterns.

Summary Metrics (AGP Overview)

The Ambulatory Glucose Profile (AGP) summarizes glucose trends across the day, typically using 10–14 days of data.

Key metrics include:

  • Baseline Glucose: Typical pre-meal glucose level
  • Mean Glucose
  • GMI (Glucose Management Indicator): An estimate of A1C
  • Time in Range: % time spent in target zones (e.g., 70–180 mg/dL)

Reference: Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range (ADA, 2019).

Day-by-Day View

  • Allows users to explore individual days.
  • A “Display Logged Events” checkbox overlays 2-hour windows after logged food entries.
  • Each event is highlighted above a calculated glucose baseline to visualize postprandial excursions.

Event Metrics Table

Summarizes glucose features from each logged food event.

Each 2-hour window includes:

  • Maximum and minimum glucose
  • Area under the curve (AUC) above baseline
  • Max rate of rise and fall
  • Whether exercise occurred within 3 hours
  • Meal time category (e.g., breakfast, lunch)

The table can be downloaded for further analysis.

Reference: Zeevi et al., Personalized Nutrition by Prediction of Glycemic Responses, Cell, 2015.

Advanced Metrics

Three research-grade tools to quantify glucose variability:

  • Risk Trace: Plots LBGI (Low BG Index) and HBGI (High BG Index) over time. These reflect the frequency and severity of hypo- and hyperglycemia risk. Based on log-transformed risk scoring of glucose.
  • Rate of Change Histogram: Histogram of glucose slopes (mg/dL/min), downsampled to 15-min intervals to reduce noise.
  • Poincaré Plot: Visualizes short- and long-term variability (SD1, SD2). Ellipse shows 95% confidence coverage.

Reference: Clarke and Kovatchev, Statistical Tools to Analyze Continuous Glucose Monitor Data, Diabetes Technology & Therapeutics, 2008.