RT info:eu-repo/semantics/article
T1 Impact of glucose variability on the assessment of the glycemia risk index (GRI) and classic glycemic metrics
A1 Pérez López, Paloma
A1 Fernández Velasco, Pablo
A1 Bahillo Curieses, María del Pilar
A1 Luis Román, Daniel Antonio de
A1 Díaz Soto, Gonzalo
K1 Glucose variability
K1 Coefficient of variation
K1 glycemia risk index (GRI)
K1 32 Ciencias Médicas
AB Objective To evaluate the impact of glucose variability on the relationship between the GRI and other glycemic metrics in acohort of pediatric and adult patients with type 1 diabetes (T1D) using intermittent scanning continuous glucose monitoring(isCGM).Methods We performed a cross-sectional study of 202 patients with T1D under intensive insulin treatment (25.2% CSII)using isCGM. Clinical, metabolic, and glycemic metrics were collected, and the GRI was calculated with its hypoglycemia(CHypo) and hyperglycemia (CHyper) components. The correlation between the GRI and other classical glycometrics inrelation to the coefficient of variation (CV) was evaluated.Results A total of 202 patients were included (53% male; 67.8% adults) with a mean age of 28.6 ± 15.7 years and12.5 ± 10.9 years of T1D evolution (TIR 59.0 ± 17.0%; CV 39.8 ± 8.0%; GMI 7.3 ± 1.1%). The mean GRI was 54.0 ± 23.3with a CHypo and CHyper component of 5.7 ± 4.8 and 23.4 ± 14.3, respectively. A strong negative correlation was observedbetween the GRI and TIR (R = −0.917; R2 = 0.840; p < 0.001), showing differences when dividing patients with lowglycemic variability (CV < 36%) (R = −0.974; R2 = 0.948; p < 0.001) compared to those with greater CV instability (≥36%)(R = −0.885; R2 = 0.784; p < 0.001). The relationship of GRI with its two components was strongly positive with CHyper(R = 0.801; R2 = 0.641; p < 0.001) and moderately positive with CHypo (R = 0.398; R2 = 0.158; p < 0.001). When the GRIwas evaluated with the rest of the classic glycemic metrics, a strong positive correlation was observed with HbA1c(R = 0.617; R2 = 0.380; p < 0.001), mean glucose (R = 0.677; R2 = 0.458; p < 0.001), glucose standard deviation(R = 0.778; R2 = 0.605; p < 0.001), TAR > 250 (R = 0.801; R2 = 0.641; p < 0.001), and TBR < 54 (R = 0.481; R2 = 0.231;p < 0.001).Conclusions The GRI correlated significantly with all the glycemic metrics analyzed, especially with the TIR. Glycemicvariability (GV) significantly affected the correlation of the GRI with other parameters and should be taken intoconsideration
PB Springer
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/62466
UL https://uvadoc.uva.es/handle/10324/62466
LA eng
NO Endocrine, 2023.
NO Producción Científica
DS UVaDOC
RD 11-jul-2024