Pattern detection identifies recurring changes in your glucose levels. Understanding patterns in your past glucose values and following recommendations to improve your diabetes management may help you adapt your behaviour and spend more time in range.1
Once mySugr Glucose Insights receives CGM data from the sensor, detected patterns from the last 24 hours display below the graph on the Home screen.
Patterns overview
If mySugr Glucose insights has enough data to detect patterns in your glucose values, the patterns are shown and can be tapped for further information.
Enable summary notification
With mySugr Glucose Insights you can export your glucose profile (Ambulatory Glucose Profile) and glucose patterns
Active patterns from the last 2 weeks
Patterns can look very different, depending on their frequency and cause, and are shown using a range of icons and colours. Patterns are displayed in order, with the one with the
highest medical risk first, at the top, such as a very low or low pattern.
| Pattern icons | |||
| Very High | Fluctuations | ||
| In Range | Low | ||
| High glucose variability | |||
View your patterns
Providing context for pattern analysis
- Your logbook entries have an important role to plan in pattern detection. For example, meal-associated patterns can only be determined if you log your meals in the mySugr Logbook.
- You can add information to your logbook entries in the mySugr app to provide more context for pattern analysis and improve the quality of suggestions you receive.
- Some patterns might not be discovered if data is missing from the logbook. Make sure you consistently log your insulin and carbs so you can spot patterns.
Set a reminder
- You can set reminders, including push notifications, to proactively follow up on specific patterns you would like to improve.
- Setting up a reminder for a detected pattern can warn you in advance.
| Insulin dosing | Injection sites | ||
| Food and drinks | Physical activity | ||
| Hormonal influences or Hormones and biorhythms | Heat | ||
| Stress, sleep, and illness |
You have covered all the basics of mySugr Glucose Insights. Dive deeper into the CGM Basics section to discover more about your sensor, common CGM terms, and data sharing.
- ‘Bogaarts G, Mitter M, Bailey TS, Glatzer T, Theodorou D. Control of nocturnal hypoglycemia by CGM-based AI-enabled nocturnal hypoglycemia prediction: A retrospective analysis of real-world data. Diabetes Res Clin Pract. 2026. doi.org/10.1016/j.diabres.2026.113188
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