RT Journal Article
T1 Parameters of glycemic variability in continuous glucose monitoring as predictors of diabetes: a prospective evaluation in a non-diabetic general population
A1 Rodríguez García, Javier
A1 Camiña Darriba, Manuel Félix
A1 Ortolá Devesa, Juan B.
A1 Rodríguez-Segade Villamarín, Santiago
A1 Valle Rodríguez, Andrea
K1 Continuous glucose monitoring
K1 Diabetes
K1 Glycemic variability
K1 HbA1c
K1 Mean amplitude of glucose excursions
K1 Standard deviation
AB Objectives: To prospectively examine the ability of some glycemic variability metrics from continuous glucose monitoring (CGM) to predict the development of diabetes in a non-diabetic population. Methods: A total of 497 non-diabetic patients from the AEGIS study were included. Participants used a CGM system (iPro2®) over a six-day period. The following parameters were analyzed: standard deviation (SD), coefficient of variation (CV) and mean amplitude of glucose excursion (MAGE). Six-years follow-up was performed. ROC curves were constructed to determine the predictive value of glycemic variability metrics. Sensitivity and specificity were calculated. Results: Of the 497 participants, 16 women (4.9 %) and 9 men (5.2 %) developed diabetes. Initial HbA1c and fasting glucose levels were significantly higher in the participants who ultimately developed diabetes. Glycemic variability metrics were also significantly higher in these subjects (SD: 18 vs. 13 mg/dL; CV: 17 vs. 14 %; MAGE: 36 vs. 27 mg/dL; p<0.001 in all cases). SD showed the highest AUC (0.81), with a sensitivity of 80 % and a specificity of 72 % for a cut-off of 14.9 mg/dL. AUCs were higher in men for all metrics. Conclusions: The metrics obtained by MCG, especially SD, are effective predictors of progression to type 2 diabetes in a non-diabetic population. These findings suggest that glycemic variability is useful for the early identification of subjects at a higher risk of developing diabetes.
PB De Gruyter
YR 2025
FD 2025
LK https://hdl.handle.net/10347/46722
UL https://hdl.handle.net/10347/46722
LA eng
NO Rodríguez García, J., Camiña Darriba, F., Ortolá Devesa, J. B., Rodríguez-Segade Villamarín, S., & Valle Rodríguez, A. (2025). Parameters of glycemic variability in continuous glucose monitoring as predictors of diabetes: a prospective evaluation in a non-diabetic general population. Advances in Laboratory Medicine. https://doi.org/10.1515/ALMED-2025-0011
NO Partially funded by: JL Castaño Foundation, Spanish Society of Clinical Chemistry (SEQCML) in the 2023 call for research projects.
DS Minerva
RD 23 may 2026