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Endocrine Abstracts (2024) 99 P198 | DOI: 10.1530/endoabs.99.P198

ECE2024 Poster Presentations Late-Breaking (77 abstracts)

Comparing analytical and glucometric parameters in patients with type 1 diabetes

Pilar Pérez-Reyes 1 , Pablo Vera-González 1 , Ángel Rebollo-Román 1 , Delia Marginean 1 & Verónica Torres-Herrera 2


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 there’s 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.

Volume 99

26th European Congress of Endocrinology

Stockholm, Sweden
11 May 2024 - 14 May 2024

European Society of Endocrinology 

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