Association between Glucose Time in Range and Carotid Artery Intima-media Thickness in Type-2 Diabetes Mellitus

Fang SUN; Shiying HUANG; Shu LIU; Jingyun FU

doi:10.12259/j.issn.2095-610X.S20230427

Volume 44 Issue 4

Apr. 2023

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Fang SUN, Shiying HUANG, Shu LIU, Jingyun FU. Association between Glucose Time in Range and Carotid Artery Intima-media Thickness in Type-2 Diabetes Mellitus[J]. Journal of Kunming Medical University, 2023, 44(4): 48-52. doi: 10.12259/j.issn.2095-610X.S20230427

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Association between Glucose Time in Range and Carotid Artery Intima-media Thickness in Type-2 Diabetes Mellitus

doi: 10.12259/j.issn.2095-610X.S20230427

Dept. of Endocrinology，The 1st Affiliated Hospital of Kunming Medical University， Kunming Yunnan 650032，China

Received Date: 2022-07-17
Available Online: 2023-04-12
Publish Date: 2023-04-25

Abstract

Abstract

Objctive To investigate the association between glucose time in range and carotid artery intima-media thickness in type-2 diabetes mellitus. Methods A total of 232 patients with type 2 diabetes were selected and divided into two groups based on the thickness of the common carotid artery intima-media, ie CIMT ≥ 0.8 cm in the abnormal group and < 0.8 cm in the normal group. Height and weight were measured, biochemical indexes and dynamic blood glucose parameters were detected, and glucose TIR values were calculated to compare the differences of indexes and TIR values between the two groups. Pearson correlation was used to analyze the correlation between CIMT and CGM indexes. Binary Logistic regression analysis examined the relationship between CIMT and CGM indexes. Results The TIR value of CIMT < 0.8 cm group was significantly higher than that of CIMT ≥ 0.8 cm group [ （77.22±23.26） nmol/L vs （69.47±22.03） nmol/L], and CIMT was negatively correlated with TIR. TIR was positively correlated with SDBG, MBG and TAR. Binary logistic regression suggested that the decrease of TIR （P = 0.016） and the increase of SDBG （P = 0.025）, MBG （P = 0.006） and TAR （P = 0.014） were risk factors for CIMT thickening. Conclusion In patients with type 2 diabetes, there was a negative correlation between TIR and CIMT, and decreased TIR values may be an independent risk factor for thickening of the common carotid artery intima-media.
- Continuous glucose monitoring,
- Glucose time in range,
- Type 2 diabetes mellitus,
- Carotid artery intima-media thickness

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[1]	Saba L,Jamthikar A,Gupta D,et al. Global perspective on carotid intima-media thickness and plaque: Should the current measurement guidelines be revisited?[J]. Int Angiol,2019,38(6):451-465.
[2]	Bergenstal R M,Gal R L,Connor C G,et al. Racial differences in the relationship of glucose concentrations and hemoglobin A1c levels[J]. Ann Intern Med,2017,167(2):95-102. doi: 10.7326/M16-2596
[3]	Tang X,Li S,Wang Y,et al. Glycemic variability evaluated by continuous glucose monitoring system is associated with the 10-y cardiovascular risk of diabetic patients with well-controlled HbA1c[J]. Clin Chim Acta,2016,461(8):146-150.
[4]	中华医学会糖尿病学分会. 中国2型糖尿病防治指南(2020年版)[J]. 中华糖尿病杂志,2021,13(4):315-409.
[5]	Gepnera D,Young R,Delaney J A,et al. Comparison of coronary artery calcium presence,carotid palque presence,and carotid intima-media thickness for cardiovascular disease prediction in the multi-ethnic study of atherosclerosis[J]. Circ Cardiovasc Imaging,2015,8(1):e002262. doi: 10.1161/CIRCIMAGING.114.002262
[6]	Polak J F,Szklo M,Oleary D H. Association of coronary heart disease with common carotid artery near and far wall intima-media thickness: The multi-ethmic study of atherosclerosis[J]. J Am Sco Echocardigr,2015,28(9):1114-1121. doi: 10.1016/j.echo.2015.04.001
[7]	Skrha J,Soupal J,Skrha J J r,et al. Glucose variability,HbA1c and microvascular complications[J]. Rev Endocr Metab Disord,2016,17(1):103-110. doi: 10.1007/s11154-016-9347-2
[8]	Liu M,Liu S W,Wang L J,et al. Burden of diabetes,hyperglycemia in China from to 2016: Findings from the 1990 to 2016,global burden of disease study[J]. Diabetes Metab,2019,45(3):286-293. doi: 10.1016/j.diabet.2018.08.008
[9]	Liu M, Ao L, Hu X, et al. Infuence of blood glucose fuctuation, C-peptide level and conventional risk factors on carotid artery intima–media thickness in Chinese Han patients with type 2 diabetes mellitus[J]. Eur J Med Res, 2019, 24（1）: 13.
[10]	La Sala L,Mrakic-Sposta S,Micheloni S,et al. Glucose-sensing micro RNA-21 disrupts ROS homeostasis and impairs antioxidant responses in cellular glucose variability[J]. Cardiovasc Diabetol,2018,17(1):105-119. doi: 10.1186/s12933-018-0748-2
[11]	黄敬泽,王健. 血糖波动对2型糖尿病患者血管内皮损伤的影响[J]. 中国老年学杂志,2010,30(21):3076-3078.
[12]	American diabetes association. 6. Glycemic targetes: Standards of medical care in diabetes-2020[J]. Diabetes Care,2020,43(Suppl 1):S66-S76.
[13]	Beck R W,Bergenstal R M,Riddlesworth T D,et al. Validation of time in range as an outcome measure for diabetes clinical trial[J]. Diabetes Care,2019,42(3):400-405. doi: 10.2337/dc18-1444
[14]	Lu J,Ma X,Zhou J,et al. Time in range in relation to all-cause and cardiovascular mortality in patients with type 2 diabetes: A prospective cohort study[J]. Diabetes Care,2021,44(2):549-555. doi: 10.2337/dc20-1862
[15]	Mayeda L,Katz R,Ahmad I,et al. Glucose time in range and peripheral neuropathy in type 2 diabetes mellitus and chronic kidney disease[J]. BMJ Open Diabetes Res Care,2018,8(1):e000991.
[16]	Lu J,Ma X,Zhou J,et al. Association of time in range,as assessed by continuous glucose monitoring,with diabetic retinopathy in Type 2 diabetes[J]. Diabetes Care,2018,41(11):2370-2376. doi: 10.2337/dc18-1131
[17]	Guo Q,Zang P,Xu S,et al. Time in range,as a novel metric of glycemic control,is reversely associated with presence of diabetic cardiovascular autonomic neuropathy independent of HbA1c in Chinese type 2 diabetes[J]. J Diabetes Res,2020,2020(1):5817074.
[18]	Mayeda L,Katz R,Ahmad I,et al. Glucose time in range and peripheral neuropathy in type 2 diabetes mellitus and chronic kidney disease[J]. BMJ Open Dia Betes Res Care,2020,8(1):e000991. doi: 10.1136/bmjdrc-2019-000991

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