Type 1 diabetes

Different Times for Different Metrics: Predicting 90 Days of Intermittently Scanned Continuous Glucose Monitoring Data in Subjects With Type 1 Diabetes on Multiple Daily Injection Therapy—Findings From a Multicentric Real-World Study

J Diabetes Sci TechnolPublished Retrospective cohort study

Authors' conclusion

In patients with T1D on MDI, two- to six-week intervals of isCGM use can provide clinically useful estimates of TIR, TAR, TITR, TBR, CV, and GRI, which can be extrapolated to longer (up to 90 days) time intervals. Longer intervals might be needed in case of older age, higher glucose variability, lower sensor use, and higher HbA1c.

Study context

Population
Adults with T1D on MDI therapy using second-generation intermittently scanned CGM (isCGM)539 90-day isCGM data
Participants
367 adults
Exposure
isCGM sampling periods of 2 to 12 weeks vs the whole 90-day interval
Outcome
Coefficients of determination (R2) of each sensor metric for sampling periods of 2 to 12 weeks vs the whole 90-day interval; strong correlation R2 ≥0.88
Methodological detailsreal-world, multicentre
  • Real-world
  • Multicentre

Main finding

As reported in the abstract

Shortest sampling period with strong correlation (R2) vs 90 days
2-week period: Time in range (TIR) (70-180 mg/dl), R2
0.89
2-week period: TAR (>180 mg/dl), R2
0.88
4-week period: Time in tight range (TITR) (70-140 mg/dl), R2
0.92
4-week period: Coefficient of variation (CV), R2
0.88
4-week period: Glycemia risk index (GRI), R2
0.92
6-week period: Time below range (TBR) (<70 mg/dl), R2
0.90

Observational data: associations, not effects.

Further findings

Stratification by clinical variables

Lower R2 values for older age quartiles (>40 years), higher CV (>36%), lower sensor use (≤94%) and higher HbA1c (>7.5%)

Original publication

Different Times for Different Metrics: Predicting 90 Days of Intermittently Scanned Continuous Glucose Monitoring Data in Subjects With Type 1 Diabetes on Multiple Daily Injection Therapy—Findings From a Multicentric Real-World Study. J Diabetes Sci Technol. Published 7 January 2025. doi:10.1177/19322968241308564

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