Related Experiment Video
Updated: Jan 31, 2026

Modeling Neonatal Intraventricular Hemorrhage Through Intraventricular Injection of Hemoglobin
Published on: August 25, 2022
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.
Background:
There has been recent recognition of the limitations of hemoglobin A1C (HbA1C) in describing both short- and long-term glycemic control. Continuous glucose monitoring (CGM) provides robust data about short-term glycemic control and provides metrics such as percent time-in-range (%TIR) that are now routinely reported to describe the change in glycemic control after an intervention in a clinical study or a change in therapy in a patient's care. Recent studies have shown that %TIR may have similar associations with diabetes microvascular complications as does HbA1C. The relationship of %TIR to the long-standing metric of overall glycemic control has not been clearly defined to date.
Methods:
Articles that report paired HbA1C and %TIR metrics (n = 1137) or HbA1C and frequent self-monitoring of blood glucose (SMBG) (n = 1440) across a wide range of HbA1Cs, technologies, and subject demographics were reviewed to determine the correlation of these metrics.
Results:
Selected paired HbA1C and %TIR data from 18 articles were evaluated by linear regression analysis and Pearson's correlation coefficient. There was an excellent correlation between the two (R = -0.84; R2 = 0.71). This relationship did not change after excluding one study that used SMBG or six studies with ≤7 days of CGM. For every absolute 10% change in %TIR, there was a 0.8% (9 mmol/mol) change in HbA1C.
Conclusions:
There is a good correlation between HbA1C and %TIR that may permit the transition to %TIR as the preferred metric for determining the outcome of clinical studies, predicting of the risk of diabetes complications, and assessing of an individual patient's glycemic control.
Related Concept Videos
Hemoglobin
When all four heme groups are bound to oxygen, the resulting molecule is called oxyhemoglobin. As a result, arterial blood...
Relationship Formation
Range
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
Ending Relationships
Pathophysiology of Diabetes
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
Relationship Growth

