ECE2024 Poster Presentations Late-Breaking (77 abstracts)
1Hospital Universitario Reina Sofia, Córdoba, Spain; 2Facultad Medicina Cordoba, Córdoba, Spain
Aims: We aimed to evaluate the relationship between glycosylated hemoglobin (HbA1c), time-in-range (TIR), Glucose Management Index (GMI) and coefficient of variation (CV) in a cohort of adult patients with type 1 diabetes (T1DM) and flash glucose monitoring (FGM).
Material and methods: Cross-sectional study of patients with T1DM who FGM from Córdoba, Spain. Demographic and analytical data were collected. Glucose metrics and engagement statistics (adjusted for previous 90-day averages) were obtained from LibreView, coinciding temporally with the analytical determination of HbA1c. We defined ;stable diabetes; in our cohort as CV < 36%, GMI < 7% and TIR > 70%. Statistical analysis was made with SPPS vs 25.
Results: 169 patients (55% women, 45% men; mean age of 39.74 ± 11.80 years) were enrolled in the study. The mean duration of diabetes was 19.94 ± 10.63 years. Mean BMI was 26.19±4.46 kg/m2. Regarding glycemic data, we found that 53.29% of patients presented HbA1c below 7%, 55.82% GMI below 7%, 37.42% CV below 36% and 38.03% TIR above 70%. In the correlation analysis we observed a statistically significant positive relationship between HbA1c and GMI (rho=0.793; P<0.001) and between HbA1c and CV (rho=0.209; P=0.007). We also found a significant and negative relationship between HbA1c and TIR (rho= -0.735; P<0.001). Therefore, we found that when we measure glucose metrics for the last 90 days, there is a statistically significant linear and direct relationship between laboratory parameters (HbA1c) and glucometric parameters (GMI and CV), and a linear and inverse relationship between HbA1c and TIR.
Conclusion: In our cohort, we found that theres a congruent correlation between laboratory parameters of glycemic control and glucose metrics from FGM, since lower HbA1c levels were associated with stable diabetes according to glucometric data from FGM.