Clinical review for general practice

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FULLSCREEN > Archive > 2025 > Vol 6, №10 (2025) > Early dysglycemia in continuous glucose monitoring metrics

Early dysglycemia in continuous glucose monitoring metrics

Margarita A. Kovarenko , Lyudmila A. Ruyatkina , Anna A. Ilushchenko , Victoria M. Anmut

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  • Abstract
  • About the Author
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Abstract

Traditional methods of glycemic assessment, such as glycated hemoglobin (HbA1c) and the oral glucose tolerance test, may not reflect all aspects of carbohydrate metabolism, especially at the prediabetes stage.
Aim. To compare ambulatory glucose profiles obtained using the FreeStyle Libre 1 system in individuals with normal carbohydrate tolerance and dysglycemia.
Materials and methods. A single-center observational study including 32 patients (aged 31 to 72 years) with risk factors for type 2 diabetes mellitus. Anthropometric parameters, biochemical blood analysis, and continuous glucose monitoring (CGM) data over 14 days were assessed.
Results. Patients with prediabetes showed no statistically significant differences from healthy individuals in HbA1c levels; however, they exhibited higher levels of average glucose (AG) and the glucose management indicator (GMI). Time in tight target range (TITR) was significantly greater in the dysglycemia group. Correlations between glucose metrics varied depending on the presence of dysglycemia.
Conclusion. Continuous glucose monitoring allows for a more accurate assessment of glycemic control metrics and may be useful for early interventions in individuals at high risk of diabetes. Further research is needed to optimize the use of CGM and develop individualized intervention strategies.
Keywords: continuous glucose monitoring, glucose intolerance, prediabetes, glycemic variability, glycemic control, diabetes prevention.

About the Author

Margarita A. Kovarenko 1 , Lyudmila A. Ruyatkina 1 , Anna A. Ilushchenko 2 , Victoria M. Anmut 1

1 Novosibirsk State Medical University, Novosibirsk, Russia

2 Novosibirsk State University, Novosibirsk, Russia

References

1. ElSayed NA, Aleppo G, Bannuru RR. 2. Diagnosis and classification of diabetes: standards of care in Diabetes – 2024. Diabetes Care 2024;47(Suppl 1):S20-s42. DOI: 10.2337/dc24-S002
2. Mutie PM, Pomares-Millan H, Atabaki-Pasdar N et al. An investigation of causal relationships between prediabetes and vascular complications. Nat Commun 2020 Sep 14;11(1):4592. DOI: 10.1038/s41467-020-18386-9. Erratum in: Nat Commun 2021;12(1):202. DOI: 10.1038/s41467-020-20663-6
3. Hjort A, Iggman D, Rosqvist F. Glycemic variability assessed using continuous glucose monitoring in individuals without diabetes and associations with cardiometabolic risk markers: A systematic review and meta-analysis. Clin Nutr 2024;43(4):915-25. DOI: 10.1016/j.clnu.2024. 02.014
4. Zhang J, Zhang Z, Zhang K et al. Early detection of type 2 diabetes risk: limitations of current diagnostic criteria. Front Endocrinol (Lausanne) 2023;14:1260623. DOI: 10.3389/fendo.2023.1260623
5. Liu X, Zhang J. Continuous Glucose Monitoring: A Transformative Approach to the Detection of Prediabetes. J Multidiscip Healthc 2024;17:5513-9. DOI: 10.2147/JMDH.S493128
6. Sugimoto H, Hironaka K, Nakamura T et al. Improved detection of decreased glucose handling capacities via continuous glucose monitoring-derived indices. Commun Med 2025;5:103. DOI: 10.1038/s43856-025-00819-5
7. Руяткина Л.А., Руяткин Д.С., Исхакова И.С. Возможности и варианты суррогатной оценки инсулинорезистентности. Ожирение и метаболизм. 2019;16(1):27-33. DOI: 10.14341/omet10082
Ruyatkina L.A., Ruyatkin D.S., Iskhakova I.S. Opportunities and options for surrogate assessment of insulin resistance. Obesity and Metabolism 2019;16(1):27-33. DOI: 10.14341/omet10082 (in Russian).
8. American Diabetes Association Professional Practice Committee. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2025. Diabetes Care 2025;48(1 Suppl 1):S27-S49. DOI: 10.2337/dc25-S002
9. Psoma O, Makris M, Tselepis A, Tsimihodimos V. Short-term Glycemic Variability and Its Association With Macrovascular and Microvascular Complications in Patients With Diabetes. J Diabetes Sci Technol 2024;18(4):956-67. DOI: 10.1177/19322968221146808
10. Kovatchev B. Glycemic Variability: Risk Factors, Assessment, and Control. J Diabetes Sci Technol 2019;13(4):627-35. DOI: 10.1177/ 1932296819826111
11. Mo Y, Lu J, Zhou J. Glycemic variability: Measurement, target, impact on complications of diabetes and does it really matter? J Diabetes Investig 2024;15(1):5-14. DOI: 10.1111/jdi.14112
12. Lazar S, Ionita I, Reurean-Pintilei D, Timar B. How to Measure Glycemic Variability? A Literature Review. Medicina (Kaunas) 2023;60(1):61. DOI: 10.3390/medicina60010061
13. Аметов А.С., Пуговкина Я.В., Черникова Н.А. Гомеостаз глюкозы у здорового человека в различных условиях. Cовременный взгляд. Эндокринология: новости, мнения, обучение. 2016;(1):45-55.
Ametov A.S., Pugovkina Ya. V., Chernikova N.A. Glucose homeostasis in a healthy person under different conditions. The modern view. Endocrinology: News, Opinions, Training 2016;(1):45-55 (in Russian).
14. Keshet A, Shilo S, Godneva A et al. CGMap: Characterizing continuous glucose monitor data in thousands of non-diabetic individuals. Cell Metab 2023;35(5):758-69.e3. DOI: 10.1016/j.cmet.2023.04.002. Epub 2023 Apr 19. 
15. Самойлова Ю.Г., Коваренко М.А., Олейник О.А. и др. Технология непрерывного мониторинга глюкозы у здоровых лиц: новые возможности превентивной медицины. Педиатрия им. Г.Н. Сперанского. 2022;101(3):205-11. DOI: 10.24110/0031-403X-2022-101-3-205-211
Samoilova Yu.G., Kovarenko M.A., Oleynik O.A. et al. Continuous glucose monitoring technology in healthy individuals: new opportunities for preventive medicine. Pediatria n.a. G.N. Speransky. 2022;101(3):205-211. DOI: 10.24110/0031-403X-2022-101-3-205-211 (in Russian).
16. Berry SE, Valdes AM, Drew DA et al. Human postprandial responses to food and potential for precision nutrition. Nat Med 2020 Jun;26(6):964-73. DOI: 10.1038/s41591-020-0934-0. Erratum in: Nat Med 2020 Nov;26(11):1802. DOI: 10.1038/s41591-020-1130-y
17. Bergman M. Prediabetes remission in people with obesity. Lancet Diabetes Endocrinol 2024;12(9):603-5. DOI: 10.1016/s2213-8587(24) 00193-1
18. Menke A, Casagrande S, Cowie CC. Contributions of A1c, fasting plasma glucose, and 2-hour plasma glucose to prediabetes prevalence: NHANES 2011-2014. Ann Epidemiol 2018;28(10):681-5.e2. DOI: 10.1016/j.annepidem.2018.07.012
19. Rooney MR, Fang M, Ogurtsova K et al. Global prevalence of prediabetes. Diabetes Care 2023;46(7):1388-94. DOI: 10.2337/dc22-2376
20. Echouffo-Tcheugui JB, Perreault L, Ji L, Dagogo-Jack S. Diagnosis and management of prediabetes: a review. JAMA 2023;329(14):1206-16. DOI: 10.1001/jama.2023.4063
21. Monnier L, Lapinski H, Colette C. Contributions of fasting and postprandial plasma glucose increments to the overall diurnal hyperglycemia of type 2 diabetic patients: variations with increasing levels of HbA(1c). Diabetes Care 2003;26(3):881-5. DOI: 10.2337/diacare.26.3.881
22. Алгоритмы специализированной медицинской помощи больным сахарным диабетом: [рекомендации]. Под ред. И.И. Дедова, 
М.В. Шестаковой, О.Ю. Сухаревой; Российская ассоциация эндокринологов, Национальный медицинский исследовательский центр эндокринологии. М., 2025. Вып. 12. 247 с. ISBN 978-5-6050065-8-9
Algorithms of specialized medical care for patients with diabetes mellitus: [recommendations]. Ed. by I.I. Dedov, M.V. Shestakova, 
O.Yu. Sukhareva; Russian Association of Endocrinologists, National Medical Research Center of Endocrinology. Moscow, 2025. Is. 12. 247 p. ISBN 978-5-6050065-8-9 (in Russian).
23. Richter B, Hemmingsen B, Metzendorf MI, Takwoingi Y. Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia. Cochrane Database Syst Rev 2018;10:CD012661. DOI: 10.1002/14651858.CD012661.pub2
24. Sinning C, Makarova N, Völzke H et al. Association of glycated hemoglobin A1c levels witlwh cardiovascular outcomes in the general population: results from the BiomarCaRE (Biomarker for Cardiovascular Risk Assessment in Europe) consortium. Cardiovasc Diabetol 2021;20(1):223. DOI: 10.1186/s12933-021-01413-4
25. Kashyap SR, Desouza C, Aroda VR et al. Glycemic and metabolic sub-classification of prediabetes and risk factors for cardiovascular disease in the D2d cohort. Am J Prev Cardiol 2023;15:100525. DOI: 10.1016/j.ajpc.2023.100525
26. Ajjan RA, Seidu S, Riveline JP. Perspective of continuous glucose monitoring-based interventions at the various stages of type 2 diabetes. Diabetes Ther 2024;15(8):1657-72. DOI: 10.1007/s13300-024-01607-5
27. Monnier L, Colette C, Dunseath GJ, Owens DR. The loss of postprandial glycemic control precedes stepwise deterioration of fasting with worsening diabetes. Diabetes Care 2007;30(2):263-9. DOI: 10.2337/dc06-1612
28. Castaldo E, Sabato D, Lauro D et al. Hypoglycemia assessed by continuous glucose monitoring is associated with preclinical atherosclerosis in individuals with impaired glucose tolerance. PLoS One 2011;6(12):e28312. DOI: 10.1371/journal.pone.0028312
29. Mubeen F, Low Wang CC et al. Digital Health and Shared Decision-Making in Diabetes Care – A Survey Initiative in Patients and Clinicians. Endocr Pract 2023;29(7):538-45. DOI: 10.1016/j.eprac.2023. 04.012
30. Owolabi EO, Boakye MD, Omololu SO et al. Technology-Based Interventions to Promote Diabetes Self-Management Behaviors for Persons Newly Diagnosed with Type 2 Diabetes: A Scoping Review. Curr Diab Rep 2024;24(12):257-72. DOI: 10.1007/s11892-024-01553-3
31. Clark TL, Polonsky WH, Soriano EC. The Potential Impact of Continuous Glucose Monitoring Use on Diabetes-Related Attitudes and Behaviors in Adults with Type 2 Diabetes: A Qualitative Investigation of the Patient Experience. Diabetes Technol Ther 2024;26(10):700-8. DOI: 10.1089/dia.2023.0612

For citation:Kovarenko M.A., Ruyatkina L.A., Ilushchenko A.A., Anmut V.A. Early dysglycemia in continuous glucose monitoring metrics. Clinical review for general practice. 2025; 6 (10): 24–31 (In Russ.). DOI: 10.47407/kr2025.6.10.00689


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