PT - JOURNAL ARTICLE AU - Marina Valenzano AU - Ivan Cibrario Bertolotti AU - Adriano Valenzano AU - Giorgio Grassi TI - Time in range–A1c hemoglobin relationship in continuous glucose monitoring of type 1 diabetes: a real-world study AID - 10.1136/bmjdrc-2019-001045 DP - 2021 Jan 01 TA - BMJ Open Diabetes Research & Care PG - e001045 VI - 9 IP - 1 4099 - http://drc.bmj.com/content/9/1/e001045.short 4100 - http://drc.bmj.com/content/9/1/e001045.full SO - BMJ Open Diab Res Care2021 Jan 01; 9 AB - Introduction The availability of easily accessible continuous glucose monitoring (CGM) metrics can improve glycemic control in diabetes, and they may even become a viable alternative to hemoglobin A1c (HbA1c) laboratory tests in the next years. The REALISM-T1D study (REAl-Life glucoSe Monitoring in Type 1 Diabetes) was aimed at contributing, with real-world data, to a deeper understanding of these metrics, including the time in range (TIR)–HbA1c relationship, to facilitate their adoption by diabetologists in everyday practice.Research design and methods 70 adults affected by type 1 diabetes were monitored for 1 year by means of either flash (FGM) or real-time (rtCGM) glucose monitoring devices. Follow-up visits were performed after 90, 180 and 365 days from baseline and percentage TIR70–180 evaluated for the 90-day time period preceding each visit. HbA1c tests were also carried out in the same occasions and measured values paired with the corresponding TIR data.Results A monovariate linear regression analysis confirms a strong correlation between TIR and HbA1c as found in previous studies, but leveraging more homogeneous data (n=146) collected in real-life conditions. Differences were determined between FGM and rtCGM devices in Pearson’s correlation (rFGM=0.703, rrtCGM=0.739), slope (β1,FGM=−11.77, β1,rtCGM=−10.74) and intercept (β0,FGM=141.19, β0,rtCGM=140.77) coefficients. Normality of residuals and homoscedasticity were successfully verified in both cases.Conclusions Regression lines for two patient groups monitored through FGM and rtCGM devices, respectively, while confirming a linear relationship between TIR and A1c hemoglobin (A1C) in good accordance with previous studies, also show a statistically significant difference in the regression intercept, thus suggesting the need for different models tailored to device characteristics. The predictive power of A1C as a TIR estimator also deserves further investigations.