Effectiveness of flash glucose monitoring in patients with diabetes mellitus and high cardiovascular comorbidity: impact on glycemic control, length of hospitalization and rehospitalizations
https://doi.org/10.33667/2078-5631-2026-11-23-29
Abstract
Background. Currently, continuous glucose monitoring (CGM) systems are widely used in the outpatient management of patients with diabetes mellitus (DM). However, their use for inpatient monitoring is not yet standard. The feasibility of using CGM-derived data during hospital care remains an open question and requires further research. Special attention should be paid to studying the effectiveness of CGM on the manifestations of cardiovascular comorbidity in patients with diabetes mellitus, which is as common a cause of hospitalization as diabetes itself.
Aim. To conduct a comparative analysis of glycemic parameters obtained by flash glucose monitoring versus standard glycemic profile assessment using a glucometer in patients with diabetes mellitus and high cardiovascular comorbidity during inpatient treatment.
Materials and methods. A prospective study included 60 patients with DM who had not achieved glycemic targets and presented with exacerbation of cardiovascular comorbid diseases. Patients in the observation group received a flash glucose monitoring (FGM) system, while patients in the control group underwent 4–5 daily glucose measurements (glycemic profile using a laboratory analyzer). The assessment included glucose levels, time in range (TIR), time above range (TAR), time below range (TBR), and glycemic variability (GV). Comorbidity level was assessed using the CIRS scale. All patients were classified as having high cardiovascular risk.
Results. In the observation group, target glycemic levels were achieved on day 3 (day 6 in the control group, p<0.01). GV was 39.1±1.9% in the observation group vs 47.6±3.2% in the control group (p<0.01). Hospital stay duration was reduced by 42.85% to 4 days (7 days in the control group, p<0.01). In the hospital setting, the time to achieve glycemic targets did not depend on the comorbidity level. Among patients using FGM, no rehospitalizations due to failure to achieve glycemic control were recorded during the prospective follow-up period; GV remained at 11.6±2.2% (with target range maintained >50% of time in 87% of patients).
Conclusion. Flash glucose monitoring technology during inpatient treatment demonstrated comparable accuracy to laboratory analyzer data and significantly improved long-term prognosis.
About the Authors
O. U. KosimovRussian Federation
Kosimov Otabek U., postgraduate student at Dept of Hospital Therapy (Endocrinology, Hematology & Clinical Diagnostics) of Medical Institute
Moscow
I. A. Kurnikova
Russian Federation
Kurnikova Irina A., Dr Med Sci (habil.), professor at Dept of Hospital Therapy (Endocrinology, Hematology & Clinical Diagnostics) of Medical Institute
Moscow
V. A. Kokorin
Russian Federation
Kokorin Valentin A., Dr Med Sci (habil.), professor, head of Dept of Hospital Therapy (Endocrinology, Hematology & Clinical Diagnostics) of Medical Institute
Moscow
M. A. Zavalina
Russian Federation
Zavalina Mariia A., postgraduate student at Dept of Hospital Therapy with Courses in Endocrinology, Hematology and Clinical Laboratory Diagnostics of Medical Institute
Moscow
A. F. Pavlov
Russian Federation
Pavlov Alexey F., postgraduate student at Dept of Hospital Therapy with Courses in Endocrinology, Hematology and Clinical Laboratory Diagnostics of Medical Institute
Moscow
L. Y. Morgunov
Russian Federation
Morgunov Leonid Y., Dr. Sci. Med., Dr Med Sci (habil.), professor at Dept of Hospital Therapy (Endocrinology, Hematology & Clinical Diagnostics) of Medical Institute1, head of Endocrinology Dept
Moscow
References
1. IDF Global Clinical Practice Recommendations for Managing Type 2 Diabetes 2025. Diabetes Res Clin Pract. 2025 Jun; 224: 112238. DOI: 10.1016/j.diabres.2025.112238. PMID: 40339700.
2. Algorithms for Specialized Medical Care for Patients with Diabetes Mellitus / Edited by I.I. Dedov, M.V. Shestakova, O. Yu. Sukhareva. Issue 12. Moscow; 2025. (In Russ.).
3. Demidova T. Yu., Izmailova M. Ya. Prevalence of Cardiovascular Diseases and Chronic Kidney Disease in Inpatients with Type 2 Diabetes Mellitus. Therapy. 2022; 8: 20–31. (In Russ.). https://dx.doi.org/10.18565/therapy.2022.8.20–31
4. Kalashnikov V.Y., Vikulova O.K., Zheleznyakova A.V., Isakov M.А., Bondarenko I.Z., Shestakova M.V., Dedov I.I. Epidemiology of cardiovascular diseases among patients with diabetes mellitus according to the federal diabetes register of the Russian Federation (2013–2016). Diabetes mellitus. 2019; 22 (2): 105–114. (In Russ.) https://doi.org/10.14341/DM10167
5. Zhao X, An X, Yang C. Type 2 diabetes mellitus in adults: pathogenesis, prevention and therapy. Signal Transduction and Targeted Therapy. 2024; 9 (1): 262. DOI: 10.1038/s41392‑024‑01951‑9
6. El-Kebbi IM. Comorbidity and glycemic control in patients with type 2 diabetes. Arch Intern Med. 2001; 161 (10): 1295–300. DOI: 10.1001/archinte.161.10.1295
7. Li YC, et al. Long-term glycemic variability and the risk of heart failure: a meta-analysis. PeerJ. 2025; 13: e20401. DOI: 10.7717/peerj.20401
8. Li TC, Chai TYL, McLean M, et al. Glycaemic variability is associated with severity of coronary artery disease in patients with poorly controlled type 2 diabetes and acute myocardial infarction. Diabetes Metab. 2019; 45 (5): 446–452. DOI: 10.1016/j.diabet.2019.02.002
9. Cai J, Liu J, Lu J, et al. Impact of time in tight range on allcause and cardiovascular mortality in type 2 diabetes: A prospective cohort study. Diabetes Obes Metab. 2025. DOI: 10.1111/dom.16212
10. Kitabchi, A. E., Umpierrez, G. E., Miles, J. M., & Fisher, J. N. (2009). Hyperglycemic Crises in Adult Patients With Diabetes. Diabetes Care, 32 (7), 1335–1343.
11. World Health Organization (WHO). (2010). WHO guidelines on drawing blood: best practices in phlebotomy. Geneva: World Health Organization.
12. Danne T, Nimri R, Battelino T, Bergenstal RM, Close KL, DeVries JH, et al. International Consensus on Use of Continuous Glucose Monitoring. Diabetes Care. 2017; 40 (12): 1631–1640.
13. Xavier FM, Ferraz MP, Marc N, Escosteguy NU, Moriguchi EH. Elderly people’s definition of quality of life. Braz J Psychiatry. 2003 Mar; 25 (1): 31–9. DOI: 10.1590/s1516–44462003000100007. PMID: 12975677.
14. Kesavadev J, Shankar A, Ashok AD, Srinivas S, Ajai NA, Sanal G, Krishnan G, Ramachandran L, Jothydev S. Our First 825 T2DM Patients on 14-Day Factory-Calibrated Glucose Monitoring System: Clinical Utility and Challenges. J Diabetes Sci Technol. 2018 Jan; 12 (1): 230–231. DOI: 10.1177/1932296817717504. Epub 2017 Jul 5. PMID: 28677415; PMCID: PMC5761975.
15. Bolinder J., Antuna R., Geelhoed-Duijvestijn P., Kröger J. Novel glucose-sensing technology and hypoglycaemia in type 1 diabetes: a multicentre, non-masked, randomised controlled trial. Lancet. 2016; 388 (10057): 2254–63. http://dx.doi.org/10.1016/S0140–6736(16)31535‑5
16. Cooke D, Hurel SJ, Casbard A, Steed L, Walker S, Meredith S. Randomized controlled trial to assess the impact of continuous glucose monitoring on HbA(1c) in insulin-treated diabetes (MITRE Study). Diabet Med. 2009; 26: 540–7.
Review
For citations:
Kosimov O.U., Kurnikova I.A., Kokorin V.A., Zavalina M.A., Pavlov A.F., Morgunov L.Y. Effectiveness of flash glucose monitoring in patients with diabetes mellitus and high cardiovascular comorbidity: impact on glycemic control, length of hospitalization and rehospitalizations. Medical alphabet. 2026;1(11):23-29. (In Russ.) https://doi.org/10.33667/2078-5631-2026-11-23-29
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