Volume 20 Issue 12
Dec.  2022
Turn off MathJax
Article Contents
SHI Rui, FENG Lei, TANG Ling-tong, ZHANG Chun-ting, LUO Bei-bei, BI Qian-ye, CAO Hui-ying, ZHANG Yan-bi. Research progress on evaluation indicators of blood glucose fluctuation in patients with diabetes[J]. Chinese Journal of General Practice, 2022, 20(12): 2105-2109. doi: 10.16766/j.cnki.issn.1674-4152.002780
Citation: SHI Rui, FENG Lei, TANG Ling-tong, ZHANG Chun-ting, LUO Bei-bei, BI Qian-ye, CAO Hui-ying, ZHANG Yan-bi. Research progress on evaluation indicators of blood glucose fluctuation in patients with diabetes[J]. Chinese Journal of General Practice, 2022, 20(12): 2105-2109. doi: 10.16766/j.cnki.issn.1674-4152.002780

Research progress on evaluation indicators of blood glucose fluctuation in patients with diabetes

doi: 10.16766/j.cnki.issn.1674-4152.002780
Funds:

 82160402

 L-2019022

 2019J1309

  • Received Date: 2022-06-17
    Available Online: 2023-02-07
  • Since some scholars proposed in 2001 that blood glucose fluctuation can aggravate the vascular endothelial injury in patients with diabetes, blood glucose fluctuation is getting more and more attention, a large number of studies have confirmed that blood glucose fluctuation can promote the occurrence and development of complications of diabetes. Internationally, the treatment concept of "fine hypoglycemic, stable and up to standard" has been proposed. We should not only strictly control the glycosylated hemoglobin, fasting blood glucose and postprandial blood glucose, but also try to reduce the amplitude and frequency of blood glucose fluctuation. Monitoring and evaluating blood glucose fluctuation has become an important link to realize the fine management of blood glucose. At present, there are many evaluation indicators of blood glucose fluctuation. However, the clinical evaluation efficacy of various indicators for different diabetes complications is still being explored. At the same time, in view of the limitations of various indicators, new blood glucose fluctuation evaluation indicators appear. There are a wide variety of new indicators, each with its advantages and disadvantages. The evaluation and prediction efficiency of the new indicators for different diabetic complications has also become a research hotspot. At this stage, because the monitoring methods are too complex and expensive, it is not conducive to the outpatient follow-up of diabetics. Therefore, exploring blood glucose fluctuation screening indicators with good clinical applicability has become an urgent problem to be solved. This paper briefly summarizes the research progress of the evaluation indicators of blood glucose fluctuation in diabetes patients and it' s relationship with diabetes complications, so as to provide new ideas for the next step to improve the evaluation system of blood glucose fluctuation in patients with diabetes and explore the screening indicators of blood glucose fluctuation.

     

  • loading
  • [1]
    VALENTE T, ARBEX A K. Glycemic variability, oxidative stress, and impact on complications related to type 2 diabetes mellitus[J]. Curr Diabetes Rev, 2021, 17(7): e071620183816. DOI: 10.2174/1573399816666200716201550.
    [2]
    高霜, 张艳丽, 吴姗姗, 等. 2型糖尿病患者的糖尿病痛苦现状调查及影响因素分析[J]. 中华全科医学, 2020, 18(12): 2136-2139. doi: 10.16766/j.cnki.issn.1674-4152.001707

    GAO S, ZHANG Y L, WU S S, et al. Investigation on the current situation of diabetes pain in patients with type 2 diabetes and analysis of its influencing factors[J]. Chinese Journal of General Practice, 2020, 18(12): 2136-2139. doi: 10.16766/j.cnki.issn.1674-4152.001707
    [3]
    中华医学会内分泌学分会. 糖尿病患者血糖波动管理专家共识[J]. 中华内分泌代谢杂志, 2017, 33(8): 633-636. doi: 10.3760/cma.j.issn.1000-6699.2017.08.002

    Chinese Society of Endocrinology. Expert consensus on management of blood glucose fluctuation in patients with diabetes[J]. Chinese Journal of Endocrinology and Metabolism, 2017, 33(8): 633-636. doi: 10.3760/cma.j.issn.1000-6699.2017.08.002
    [4]
    ZHANG Z Y, MIAO L F, QIAN L L, et al. Molecular mechanisms of glucose fluctuations on diabetic complications[J]. Front Endocrinol(Lausanne), 2019, 10: 640. doi: 10.3389/fendo.2019.00640
    [5]
    周建华, 李晓华, 贝鹏剑, 等. 早期T2DM肾病患者血糖波动与氧化应激, 炎症及单核细胞自噬的相关性[J]. 中国老年学杂志, 2021, 41(1): 32-36. doi: 10.3969/j.issn.1005-9202.2021.01.009

    ZHOU J H, LI X H, BEI P J, et al. The relationship between blood glucose fluctuation and oxidative stress, inflammation and monocyte autophagy in patients with early T2DM nephropathy[J]. Chinese Journal of Gerontology, 2021, 41(1): 32-36. doi: 10.3969/j.issn.1005-9202.2021.01.009
    [6]
    中华医学会糖尿病学分会. 中国血糖监测临床应用指南(2021年版)[J]. 中华糖尿病杂志, 2021, 13(10): 936-948. doi: 10.3760/cma.j.cn115791-20210810-00436

    Chinese Diabetes Society. Guidelines for clinical application of blood glucose monitoring in China(2021)[J]. Chinese Gournal of Diabetes Mellitus, 2021, 13(10): 936-948. doi: 10.3760/cma.j.cn115791-20210810-00436
    [7]
    SHEN Y, DAI D J, LU J Y, et al. Visit-to-visit variability of glycated albumin was associated with incidence or progression of lower extremity atherosclerotic disease[J]. Cardiovasc Diabetol, 2020, 19(1): 211. doi: 10.1186/s12933-020-01187-1
    [8]
    FLEISCHER J, CICHOSZ S L, HANSEN T K. Comment on Lachin et al. Association of glycemic variability in type 1 diabetes with progression of microvascular outcomes in the diabetes control and complications trial[J]. Diabetes Care, 2017, 40(11): e164. DOI: 10.2337/dc17-1339.
    [9]
    BABAYA N, NOSO S, HIROMINE Y, et al. Flash glucose monitoring in type 1 diabetes: A comparison with self-monitoring blood glucose[J]. J Diabetes Investig, 2020, 11(5): 1222-1229. doi: 10.1111/jdi.13229
    [10]
    LU J Y, MA X J, ZHANG L, et al. Glycemic variability modifies the relationship between time in range and hemoglobin A1c estimated from continuous glucose monitoring: A preliminary study[J]. Diabetes Res Clin Pract, 2020, 161: 108032. DOI: 10.1016/j.diabres.2020.108032.
    [11]
    TSENG J Y, CHEN H H, HUANG K C, et al. Effect of mean HbA1c on the association of HbA1c variability and all-cause mortality in patients with type 2 diabetes[J]. Diabetes Obes Metab, 2020, 22(4): 680-687. doi: 10.1111/dom.13951
    [12]
    CERIELLO A, LUCISANO G, PRATTICHIZZO F, et al. HbA1c variability predicts cardiovascular complications in type 2 diabetes regardless of being at glycemic target[J]. Cardiovasc Diabetol, 2022, 21(1): 13. doi: 10.1186/s12933-022-01445-4
    [13]
    ZINMAN B, MARSO S P, POULTER N R, et al. Day-to-day fasting glycaemic variability in DEVOTE: Associations with severe hypoglycaemia and cardiovascular outcomes (DEVOTE 2)[J]. Diabetologia, 2018, 61(1): 48-57. doi: 10.1007/s00125-017-4423-z
    [14]
    BI J N, SONG L L, WANG L L, et al. Visit-to-visit fasting blood glucose variability and lifetime risk of cardiovascular disease: A prospective study[J]. Cardiovasc Diabetol, 2021, 20(1): 207. doi: 10.1186/s12933-021-01397-1
    [15]
    ECHOUFFO-TCHEUGUI J B, ZHAO S, BROCK G, et al. Visit-to-visit glycemic variability and risks of cardiovascular events and all-cause mortality: The ALLHAT study[J]. Diabetes Care, 2019, 42(3): 486-493. doi: 10.2337/dc18-1430
    [16]
    SU J B, ZHAO L H, ZHANG X L, et al. HbA1c variability and diabetic peripheral neuropathy in type 2 diabetic patients[J]. Cardiovasc Diabetol, 2018, 17(1): 47. doi: 10.1186/s12933-018-0693-0
    [17]
    LEE C L, CHEN C H, WU M J, et al. The variability of glycated hemoglobin is associated with renal function decline in patients with type 2 diabetes[J]. Ther Adv Chronic Dis, 2020, 11: 2040622319898370. DOI: 10.1177/2040622319898370.
    [18]
    HU J Q, HSU H C, YUAN X D, et al. HbA1c variability as an independent predictor of diabetes retinopathy in patients with type 2 diabetes[J]. J Endocrinol Invest, 2021, 44(6): 1229-1236. doi: 10.1007/s40618-020-01410-6
    [19]
    HSIEH Y T, HSIEH M C. Fasting plasma glucose variability is an independent risk factor for diabetic retinopathy and diabetic macular oedema in type 2 diabetes: An 8-year prospective cohort study[J]. Clin Exp Ophthalmol, 2020, 48(4): 470-476. doi: 10.1111/ceo.13728
    [20]
    BENALIA M, ZELLER M, MOUHAT B, et al. Glycaemic variability is associated with severity of coronary artery disease in patients with poorly controlled type 2 diabetes and acute myocardial infarction[J]. Diabetes Metab, 2019, 45(5): 446-452. doi: 10.1016/j.diabet.2019.01.012
    [21]
    GERBAUD E, DARIER R, MONTAUDON M, et al. Glycemic variability is a powerful independent predictive factor of midterm major adverse cardiac events in patients with diabetes with acute coronary syndrome[J]. Diabetes Care, 2019, 42(4): 674-681. doi: 10.2337/dc18-2047
    [22]
    LACHIN J M, BEBU I, BERGENSTAL R M, et al. Association of glycemic variability in type 1 diabetes with progression of microvascular outcomes in the diabetes control and complications trial[J]. Diabetes Care, 2017, 40(6): 777-783. doi: 10.2337/dc16-2426
    [23]
    LU J Y, MA X J, ZHANG L, et al. Glycemic variability assessed by continuous glucose monitoring and the risk of diabetic retinopathy in latent autoimmune diabetes of the adult and type 2 diabetes[J]. J Diabetes Investig, 2019, 10(3): 753-759. doi: 10.1111/jdi.12957
    [24]
    JUN J E, LEE S E, LEE Y B, et al. Glycated albumin and its variability as an indicator of cardiovascular autonomic neuropathy development in type 2 diabetic patients[J]. Cardiovasc Diabetol, 2017, 16(1): 127. doi: 10.1186/s12933-017-0619-2
    [25]
    PAN J M, YAN X F, LI F W, et al. Association of glycemic variability assessed by continuous glucose monitoring with subclinical diabetic polyneuropathy in type 2 diabetes patients[J]. J Diabetes Investig, 2022, 13(2): 328-335. doi: 10.1111/jdi.13652
    [26]
    CHAN C L, PYLE L, KELSEY M M, et al. Alternate glycemic markers reflect glycemic variability in continuous glucose monitoring in youth with prediabetes and type 2 diabetes[J]. Pediatr Diabetes, 2017, 18(7): 629-636. doi: 10.1111/pedi.12475
    [27]
    WANG B R, YAO J T, ZHENG H, et al. Association of glycated albumin/glycosylated hemoglobin ratio with blood glucose fluctuation and long-term blood glucose control in patients with Type 2 diabetes mellitus[J]. Diabetes Metab Syndr Obes, 2021, 14: 1809-1815. doi: 10.2147/DMSO.S297730
    [28]
    FENG L, NIAN S Y, ZHAO Y, et al. Higher HbA1c and/or glucose levels alter the association patterns between glycated hemoglobin and fasting glucose levels[J]. Diabetes Res Clin Pract, 2018, 142: 353-362. doi: 10.1016/j.diabres.2018.06.011
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Tables(2)

    Article Metrics

    Article views (744) PDF downloads(63) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return