The Relationship of Hemoglobin A1C to Time-in-Range in Patients with Diabetes

Robert A Vigersky1, Chantal McMahon1

  • 1Medical Affairs and Data Science and Informatics, Medtronic Diabetes, Northridge, California.

Insights

Continuous glucose monitoring (CGM) percent time-in-range (%TIR) strongly correlates with hemoglobin A1C (HbA1C). This suggests %TIR can be a reliable metric for assessing glycemic control and diabetes complications.

Area of Science:

  • Diabetes management and technology
  • Clinical research metrics
  • Glycemic control assessment

Background:

  • Hemoglobin A1C (HbA1C) has recognized limitations in reflecting short- and long-term glycemic control.
  • Continuous glucose monitoring (CGM) offers detailed short-term glycemic data, including percent time-in-range (%TIR).
  • %TIR shows potential associations with diabetes microvascular complications, similar to HbA1C, but its relationship to overall glycemic control needs definition.

Purpose of the Study:

  • To determine the correlation between HbA1C and %TIR metrics.
  • To evaluate the potential of %TIR as a primary outcome measure in clinical studies.
  • To assess %TIR's utility in predicting diabetes complication risk and individual glycemic control.

Main Methods:

  • A review of articles reporting paired HbA1C and %TIR metrics (n=1137) or HbA1C and self-monitoring of blood glucose (n=1440).
  • Linear regression analysis and Pearson's correlation coefficient were used to evaluate the relationship between HbA1C and %TIR.
  • Data from diverse demographics, technologies, and HbA1C ranges were analyzed.

Main Results:

  • An excellent correlation was found between HbA1C and %TIR (R=-0.84; R²=0.71).
  • This strong correlation persisted even after excluding studies with self-monitoring of blood glucose or short CGM durations.
  • A 10% change in %TIR corresponded to a 0.8% (9 mmol/mol) change in HbA1C.

Conclusions:

  • A significant correlation exists between HbA1C and %TIR.
  • %TIR may be suitable as a preferred metric for clinical study outcomes.
  • %TIR shows promise for predicting diabetes complication risk and assessing individual glycemic control.
Abstract

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