Postprandial glucose excursions detected by CGM may offer valuable insight into glycemic improvement potential among adults with type 1 diabetes, according to a study published in Diabetes Research and Clinical Practice.

In this prospective cohort, 287 adults with type 1 diabetes used CGM for at least 90 days through the Korean National Home Care Pilot Program at Samsung Medical Center. Glucose excursions were classified using the Glucose Rate Increase Detector (GRID) algorithm based on peak glucose thresholds (≥ 7.8, ≥ 10.0, and ≥ 13.9 mmol/L) and time-to-peak intervals.

A higher frequency of excursions with very high peaks (≥ 13.9 mmol/L) showed the strongest inverse association with time in range (TIR), independent of time-to-peak. Participants with four or more high-peak excursions at baseline had significantly greater odds of achieving > 5 % TIR improvement after CGM education, regardless of baseline HbA1c.

These findings establish GRID-defined postprandial peaks as simple, reproducible CGM-derived indicators that can guide personalized diabetes interventions and optimize glycemic management strategies.