Rodríguez García, JavierCamiña Darriba, Manuel FélixOrtolá Devesa, Juan B.Rodríguez-Segade Villamarín, SantiagoValle Rodríguez, Andrea2026-04-152026-04-152025Rodríguez 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-2025-0011https://hdl.handle.net/10347/46722Objectives: 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.eng© 2025 the author(s), published by De Gruyter.Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Continuous glucose monitoringDiabetesGlycemic variabilityHbA1cMean amplitude of glucose excursionsStandard deviationjournal article2026-03-2710.1515/ALMED-2025-00112628-491Xopen access2628-491X