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Título
Impact of glucose variability on the assessment of the glycemia risk index (GRI) and classic glycemic metrics
Autor
Año del Documento
2023
Editorial
Springer
Descripción
Producción Científica
Documento Fuente
Endocrine, 2023.
Abstract
Objective To evaluate the impact of glucose variability on the relationship between the GRI and other glycemic metrics in a
cohort 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 in
relation 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 and
12.5 ± 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 ± 23.3
with a CHypo and CHyper component of 5.7 ± 4.8 and 23.4 ± 14.3, respectively. A strong negative correlation was observed
between the GRI and TIR (R = −0.917; R2 = 0.840; p < 0.001), showing differences when dividing patients with low
glycemic 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 GRI
was 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. Glycemic
variability (GV) significantly affected the correlation of the GRI with other parameters and should be taken into
consideration
Materias Unesco
32 Ciencias Médicas
Palabras Clave
Glucose variability
Coefficient of variation
glycemia risk index (GRI)
Revisión por pares
SI
Patrocinador
Publicación en abierto financiada por el Consorcio de Bibliotecas Universitarias de Castilla y León (BUCLE), con cargo al Programa Operativo 2014ES16RFOP009 FEDER 2014-2020 DE CASTILLA Y LEÓN, Actuación:20007-CL - Apoyo Consorcio BUCLE
Version del Editor
Propietario de los Derechos
© 2023 The Author(s)
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
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