Вариабельность гликемии как метрика оценки качества гликемического контроля
Хадарцева Е.Л., Камалов К.Г., Асадулаева М.И. Вариабельность гликемии как метрика оценки качества гликемического контроля. FOCUS Эндокринология. 2021; 4: 58–61. DOI: 10.47407/ef2021.2.4.0050
Khadartseva E.L., Kamalov K.G., Аsadullaeva M.I. Glycemic variability as a metric for evaluation of the glycemic control quality. FOCUS Endocrinology. 2021; 4: 58–61. DOI: 10.47407/ef2021.2.4.0050
На протяжении десятилетий гликированный гемоглобин (HbA1c) является доминирующим показателем при оценке гликемического конт роля. Уровень HbA1c используется врачами и пациентами для оценки реакции на лечение и оптимизацию терапии сахарного диабета, а в клинических исследованиях – это основной результат эффективности. Тем не менее уровень HbA1c имеет определенные ограничения, наи более существенным из которых является его ограниченная чувствительность к колебаниям глюкозы в крови, известным как вариабельность гликемии. Продолжаются исследования, направленные на изучение влияния вариабельности гликемии на оксидативный стресс и сердечно-сосудистые заболевания. Самоконтроль гликемии позволяет получать информацию об уровне глюкозы крови «в реальном времени», оценивать степень отклонения от индивидуальных целевых показателей гликемии и принимать на этом основании дальнейшие тактические решения. Таким образом, самоконтроль гликемии остается важным аспектом в достижении эффективного управления заболеванием.
Ключевые слова: вариабельности гликемии, оксидативный стресс, гипогликемия, самоконтроль гликемии.
Ключевые слова: вариабельности гликемии, оксидативный стресс, гипогликемия, самоконтроль гликемии.
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11. Klimontov VV, Myakina NE. Glucose variability indices predict the episodes of nocturnal hypoglycemia in elderly type 2 diabetic patients treated with insulin. Diabetes Metab Syndr 2017; 11 (2): 119–24. DOI: 10.1016/j.dsx. 2016.08.023
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15. Piconi L, Quagliaro L, Assaloni R et al. Constant and intermittent high glu-cose enhances endothelial cell apoptosis through mitochondrial superoxide overproduction. Diabetes Metab Res Rev 2006; 22 (3): 198–203. DOI: 10.1002/dmrr.613
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(99) 90237-8
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22. Gorst C, Kwok CS, Aslam S et al. Long-term Glycemic Variability and Risk of Adverse Outcomes: A Systematic Review and Meta-analysis. Diabetes Care 2015; 38 (12): 2354–69. DOI: 10.2337/dc15-1188
23. Hirakawa Y, Arima H, Zoungas S et al. Impact of visit-to-visit glycemic vari-ability on the risks of macrovascular and microvascular events and all-cause mortality in type 2 diabetes: the ADVANCE trial. Diabetes Care 2014; 37 (8): 2359–65. DOI: 10.2337/dc14-0199
24. Takahashi H, Iwahashi N, Kirigaya J et al. Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome. Cardiovasc Diabetol 2018; 17 (1): 116. DOI: 10.1186/s12933-018-0761-5
25. Cox DJ, McCall A, Kovatchev B et al. Effects of blood glucose rate of changes on perceived mood and cognitive symptoms in insulin-treated type 2 dia-betes. Diabetes Care 2007; 30 (8): 2001–2. DOI: 10.2337/dc06-2480
26. Tatti P, Strollo F, Passali D. Sleep apnea, sleep disturbance, and fasting glu-cose variability: a pilot study. J Diabetes Sci Technol 2013; 7 (3): 743–8. DOI: 10.1177/193229681300700320
27. Ceriello A. Postprandial hyperglycemia and diabetes complications: is it time to treat? Diabetes 2005; 54 (1): 1–7. DOI: 10.2337/diabetes.54.1.1
28. Gilden JL, Casia C, Hendryx M, Singh SP. Effects of self-monitoring of blood glucose on quality of life in elderly diabetic patients. J Am Geriatr Soc 1990; 38 (5): 511–5. DOI: 10.1111/j.1532-5415.1990.tb02399.x
29. Soumerai SB, Mah C, Zhang F et al. Effects of health maintenance organiza-tion coverage of self-monitoring devices on diabetes self-care and glycemic control. Arch Intern Med 2004; 164 (6): 645–52. DOI: 10.1001/arch-inte.164.6.645
30. Bailey TS, Wallace JF, Pardo S et al. Accuracy and User Performance Evalu-ation of a New, Wireless-enabled Blood Glucose Monitoring System That Links to a Smart Mobile Device. J Diabetes Sci Technol 2017; 11 (4): 736–43. DOI: 10.1177/1932296816680829
2. Duckworth W, Abraira C, Moritz T et al. Glucose control and vascular com-plications in veterans with type 2 diabetes. N Engl J Med 2009; 360 (2): 129-
139. DOI: 10.1056/NEJMoa0808431
3. ACCORD Study Group, Gerstein HC, Miller ME et al. Long-term effects of in-tensive glucose lowering on cardiovascular outcomes. N Engl J Med 2011; 364 (9): 818–28. DOI: 10.1056/NEJMoa1006524
4. Chon S, Lee YJ, Fraterrigo G et al. Evaluation of glycemic variability in well-controlled type 2 diabetes mellitus. Diabetes Technol Ther 2013; 15 (6): 455–60. DOI: 10.1089/dia.2012.0315
5. Derr R, Garrett E, Stacy GA, Saudek CD. Is HbA (1c) affected by glycemic in-stability? Diabetes Care 2003; 26 (10): 2728–33. DOI: 10.2337/di-acare.26.10.2728
6. Saudek CD, Derr RL, Kalyani RR. Assessing glycemia in diabetes using self-monitoring blood glucose and hemoglobin A1c. JAMA 2006; 295 (14): 1688–
97. DOI: 10.1001/jama.295.14.168839
7. Monnier L, Colette C, Owens DR. Glycemic variability: the third component of the dysglycemia in diabetes. Is it important? How to measure it? J Diabetes Sci Technol 2008; 2 (6): 1094–100. DOI: 10.1177/193229680800200618
8. Cox DJ, Gonder-Frederick L, Ritterband L et al. Prediction of severe hypo-glycemia. Diabetes Care 2007; 30 (6): 1370–73. DOI: 10.2337/dc06-1386
9. Tschöpe D, Bramlage P, Schneider S, Gitt AK. Incidence, characteristics and impact of hypoglycaemia in patients receiving intensified treatment for in-adequately controlled type 2 diabetes mellitus. Diab Vasc Dis Res 2016; 13 (1): 2–12. DOI: 10.1177/1479164115610470
10. Kovatchev B, Umpierrez G, DiGenio A et al. Sensitivity of Traditional and Risk-Based Glycemic Variability Measures to the Effect of Glucose-Lowering Treatment in Type 2 Diabetes Mellitus. J Diabetes Sci Technol 2015; 9 (6): 1227–35. DOI: 10.1177/1932296815587014
11. Klimontov VV, Myakina NE. Glucose variability indices predict the episodes of nocturnal hypoglycemia in elderly type 2 diabetic patients treated with insulin. Diabetes Metab Syndr 2017; 11 (2): 119–24. DOI: 10.1016/j.dsx. 2016.08.023
12. Monnier L, Colette C, Wojtusciszyn A et al. Toward Defining the Threshold Between Low and High Glucose Variability in Diabetes. Diabetes Care 2017; 40 (7): 83–8. DOI: 10.2337/dc16-1769
13. Brownlee M. Biochemistry and molecular cell biology of diabetic complica-tions. Nature 2001; 414 (6865): 813–20. DOI: 10.1038/414813a
14. Quagliaro L, Piconi L, Assaloni R et al. Intermittent high glucose enhances apoptosis related to oxidative stress in human umbilical vein endothelial cells: the role of protein kinase C and NAD (P)H-oxidase activation. Diabetes 2003; 52 (11): 2795–804. DOI: 10.2337/diabetes.52.11.2795
15. Piconi L, Quagliaro L, Assaloni R et al. Constant and intermittent high glu-cose enhances endothelial cell apoptosis through mitochondrial superoxide overproduction. Diabetes Metab Res Rev 2006; 22 (3): 198–203. DOI: 10.1002/dmrr.613
16. Giacco F, Brownlee M. Oxidative stress and diabetic complications. Circ Res. 2010; 107 (9): 10–70. DOI: 10.1161/CIRCRESAHA.110.223545
17. Paneni F, Beckman JA, Creager MA, Cosentino F. Diabetes and vascular dis-ease: pathophysiology, clinical consequences, and medical therapy: part I. Eur Heart J 2013; 34 (31): 2436–43. DOI: 10.1093/eurheartj/eht149
18. Quagliaro L, Piconi L, Assaloni R et al. Intermittent high glucose enhances ICAM-1, VCAM-1 and E-selectin expression in human umbilical vein en-dothelial cells in culture: the distinct role of protein kinase C and mitochon-drial superoxide production. Atherosclerosis 2005; 183 (2): 259–67. DOI: 10.1016/j.atherosclerosis.2005.03.015
19. Ying C, Liu T, Ling H et al. Glucose variability aggravates cardiac fibrosis by altering AKT signalling path. Diab Vasc Dis Res 2017; 14 (4): 327–35. DOI: 10.1177/1479164117698917
20. Ceriello A, Bortolotti N, Motz E et al. Meal-induced oxidative stress and low-density lipoprotein oxidation in diabetes: the possible role of hyper-glycemia. Metabolism 1999; 48 (12): 1503–8. DOI: 10.1016/s0026-0495
(99) 90237-8
21. Muggeo M, Zoppini G, Bonora E et al. Fasting plasma glucose variability predicts 10-year survival of type 2 diabetic patients: the Verona Diabetes Study. Diabetes Care 2000; 23 (1): 45–50. DOI: 10.2337/diacare.23.1.45
22. Gorst C, Kwok CS, Aslam S et al. Long-term Glycemic Variability and Risk of Adverse Outcomes: A Systematic Review and Meta-analysis. Diabetes Care 2015; 38 (12): 2354–69. DOI: 10.2337/dc15-1188
23. Hirakawa Y, Arima H, Zoungas S et al. Impact of visit-to-visit glycemic vari-ability on the risks of macrovascular and microvascular events and all-cause mortality in type 2 diabetes: the ADVANCE trial. Diabetes Care 2014; 37 (8): 2359–65. DOI: 10.2337/dc14-0199
24. Takahashi H, Iwahashi N, Kirigaya J et al. Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome. Cardiovasc Diabetol 2018; 17 (1): 116. DOI: 10.1186/s12933-018-0761-5
25. Cox DJ, McCall A, Kovatchev B et al. Effects of blood glucose rate of changes on perceived mood and cognitive symptoms in insulin-treated type 2 dia-betes. Diabetes Care 2007; 30 (8): 2001–2. DOI: 10.2337/dc06-2480
26. Tatti P, Strollo F, Passali D. Sleep apnea, sleep disturbance, and fasting glu-cose variability: a pilot study. J Diabetes Sci Technol 2013; 7 (3): 743–8. DOI: 10.1177/193229681300700320
27. Ceriello A. Postprandial hyperglycemia and diabetes complications: is it time to treat? Diabetes 2005; 54 (1): 1–7. DOI: 10.2337/diabetes.54.1.1
28. Gilden JL, Casia C, Hendryx M, Singh SP. Effects of self-monitoring of blood glucose on quality of life in elderly diabetic patients. J Am Geriatr Soc 1990; 38 (5): 511–5. DOI: 10.1111/j.1532-5415.1990.tb02399.x
29. Soumerai SB, Mah C, Zhang F et al. Effects of health maintenance organiza-tion coverage of self-monitoring devices on diabetes self-care and glycemic control. Arch Intern Med 2004; 164 (6): 645–52. DOI: 10.1001/arch-inte.164.6.645
30. Bailey TS, Wallace JF, Pardo S et al. Accuracy and User Performance Evalu-ation of a New, Wireless-enabled Blood Glucose Monitoring System That Links to a Smart Mobile Device. J Diabetes Sci Technol 2017; 11 (4): 736–43. DOI: 10.1177/1932296816680829