open access publication

Article, 2024

Associations Between HbA1c and Glucose Time in Range Using Continuous Glucose Monitoring in Type 1 Diabetes: Cross-Sectional Population-Based Study

Diabetes Therapy, ISSN 1869-6953, 1869-6961, Volume 15, 6, Pages 1301-1312, 10.1007/s13300-024-01572-z

Contributors

Eliasson, Bjo Rn 0000-0003-2569-4160 (Corresponding author) [1] [2] Allansson Kjölhede, Elin [1] [3] Salö, Sofia [4] Fabrin Nielsen, Nick [5] Eeg-Olofsson, Katarina [1] [2] [3]

Affiliations

  1. [1] Sahlgrenska University Hospital
  2. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  3. [2] Västra Götaland Regional Council
  4. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  5. [3] University of Gothenburg
  6. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  7. [4] Novo Nordisk (Sweden)
  8. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  9. [5] Novo Nordisk (Denmark)
  10. [NORA names: Novo Nordisk; Private Research; Denmark; Europe, EU; Nordic; OECD]

Abstract

IntroductionContinuous glucose monitoring (CGM) introduces novel indicators of glycemic control.MethodsThis cross-sectional study, based on the Swedish National Diabetes Register, examines 27,980 adults with type 1 diabetes. It explores the relationships between HbA1c (glycated hemoglobin) and various CGM-derived metrics, including TIR (time in range, representing the percentage of time within the range of 4–10 mmol/l for 2 weeks), TAR (time above range), TBR (time below range), mean glucose, standard deviation (SD), and coefficient of variation (CV). Pearson correlation coefficients and linear regression models were utilized for estimation.ResultsThe analysis included 46% women, 30% on insulin pump, 7% with previous coronary heart disease and 64% with retinopathy. Mean ± SD values were age 48 ± 18 years, diabetes duration 25 ± 16 years, HbA1c 58.8 ± 12.8 mmol/mol, TIR 58.8 ± 19.0%, TAR 36.3 ± 20.0%, TBR 4.7 ± 5.4%, mean sensor glucose 9.2 ± 2.0 mmol/l, SD 3.3 ± 1.0 mmol/l, and CV 36 ± 7%. The overall association between HbA1c and TIR was − 0.71 (Pearson’s r), with R2 0.51 in crude linear regression and 0.57 in an adjusted model. R2 values between HbA1c and CGM mean glucose were 0.605 (unadjusted) 0.619 (adjusted) and TAR (unadjusted 0.554 and fully adjusted 0.568, respectively), while fully adjusted R2 values were 0.458, 0.175 and 0.101 between HbA1c and CGM SD, CGM CV and TBR, respectively.ConclusionsThis descriptive study demonstrates that the degree of association between HbA1c and new and readily available CGM-derived metrics, i.e., time in range (TIR), time above range (TAR), and CGM mean glucose, is robust in assessing the management of individuals with type 1 diabetes in clinical settings. Metrics from CGM that pertain to variability and hypoglycemia exhibit only weak correlations with HbA1c.

Keywords

CGM, CGM-derived metrics, Diabetes Register, HbA1c, MethodsThis, MethodsThis cross-sectional study, National Diabetes Register, Pearson correlation coefficient, ResultsThe, ResultsThe analysis, SD values, Swedish, Swedish National Diabetes Register, TBR, TIR, adults, age, analysis, association, clinical setting, coefficient, coefficient of variation, continuity, continuous glucose monitoring, control, coronary heart disease, correlation, correlation coefficient, cross-sectional population-based study, cross-sectional study, degree, degree of association, deviation, diabetes, diabetes duration, disease, duration, estimation, glucose, glucose monitoring, glucose time, glycated hemoglobin, glycemic control, heart disease, hemoglobin, hypoglycemia, i., indicator of glycemic control, indicators, individuals, insulin, insulin pump, linear regression, linear regression models, management, management of individuals, mean glucose, mean sensor glucose, metrics, model, monitoring, population-based study, pump, range, register, regression, regression models, relationship, retinopathy, sensor glucose, sets, standard deviation, study, tar, time, type, type 1 diabetes, values, variables, variation, weak correlation, women, years

Funders

  • Government of Sweden
  • Novo Nordisk (Denmark)

Data Provider: Digital Science