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Research ArticleAdult Brain
Open Access

Impacts of Glycemic Control on Intracranial Plaque in Patients with Type 2 Diabetes Mellitus: A Vessel Wall MRI Study

S. Jiao, J. Huang, Y. Chen, Y. Song, T. Gong, J. Lu, T. Guo, J. Zhang, C. Zhang and M. Chen
American Journal of Neuroradiology January 2021, 42 (1) 75-81; DOI: https://doi.org/10.3174/ajnr.A6878
S. Jiao
aFrom the Departments of Radiology (S.J., J.H., Y.S., T. Guo, J.Z., C.Z., M.C.)
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J. Huang
aFrom the Departments of Radiology (S.J., J.H., Y.S., T. Guo, J.Z., C.Z., M.C.)
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Y. Chen
bNeurology (Y.C., T.Gong)
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Y. Song
aFrom the Departments of Radiology (S.J., J.H., Y.S., T. Guo, J.Z., C.Z., M.C.)
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T. Gong
bNeurology (Y.C., T.Gong)
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J. Lu
cNeurosurgery (J.L.), Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China, Beijing, China.
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T. Guo
aFrom the Departments of Radiology (S.J., J.H., Y.S., T. Guo, J.Z., C.Z., M.C.)
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J. Zhang
aFrom the Departments of Radiology (S.J., J.H., Y.S., T. Guo, J.Z., C.Z., M.C.)
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C. Zhang
aFrom the Departments of Radiology (S.J., J.H., Y.S., T. Guo, J.Z., C.Z., M.C.)
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M. Chen
aFrom the Departments of Radiology (S.J., J.H., Y.S., T. Guo, J.Z., C.Z., M.C.)
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    FIG 1.

    Flow diagram of study identification.

  • FIG 2.
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    FIG 2.

    Strong enhancement of plaque in the MCA. A, TOF-MRA shows severe stenosis in the M1 segment of the left MCA (arrow). B, Postcontrast T1-weighted image (axial acquisition) shows wall thickening at the corresponding location (arrow). C, Reconstructed T1-weighted image shows the length of plaque (arrow) in the long axis of the MCA at the site of the most stenotic lesion. D, Reconstructed T1-weighted image shows the thickness of plaque (arrow) in the short axis of the MCA at the site of the most stenotic lesion.

Tables

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    Table 1:

    Clinical characteristics among NDM, DMGGC, and DMPGC groupsa

    NDM Group (n = 172)DMGGC Group (n = 55)DMPGC Group (n = 84)χ2/FP Value
    Male (No.) (%)117 (68.02)44 (80)56 (66.67)3.362.186
    Age (yr)62.44 ± 11.8763.71 ± 9.9064.60 ± 11.471.061.347
    BMI (Kg/m2)25.66 ± 3.3725.60 ± 3.0025.50 ± 3.370.066.936
    Smoking (No.) (%)73 (42.44)19 (34.55)36 (42.86)1.210.546
    Hypertension (No.) (%)129 (75)48 (87.28)69 (82.14)4.441.109
     Grade 1 hypertension (No.) (%)90 (69.77)37 (77.08)52 (75.36)1.271.530
     Grade 2 hypertension (No.) (%)39 (30.23)11 (22.92)17 (24.64)
     BP uncontrolled (No.) (%)84 (65.12)36 (75)50 (72.5)2.107.349
    History of CAD (No.) (%)25 (14.53)15 (27.27)17 (20.24)4.798.091
    Family history of CVD (No.) (%)22 (12.79)5 (9.09)9 (10.71)0.641.726
    Hyperlipemia (No.) (%)111 (64.53)37 (67.27)47 (55.95)2.375.305
    Total cholesterol (mmol/L)3.81 (3.10–4.70)3.24 (2.94–4.48)3.35 (2.96–4.22)5.946.051
    LDL (mmol/L)2.22 (1.67–2.93)1.81 (1.48–2.81)2.07 (1.58–2.63)4.918.086
    HDL (mmol/L)1.00 (0.89–1.15)b0.99 (0.87–1.19)0.92 (0.76–1.09)b9.796.008
    Triglycerides (mmol/L)1.37 (0.97–1.93)1.16 (0.90–1.82)1.32 (0.96–1.82)1.749.417
    LDL/HDL ratio2.12 (1.64–2.93)1.81 (1.53–2.40)2.21 (1.77–2.87)4.565.102
    • Note:—DMGGC indicates T2DM with good glycemic control; DMPGC, T2DM with poor glycemic control; BMI, body mass index; LDL, low-density lipoprotein cholesterol; HDL, high-density lipoprotein cholesterol; CAD, coronary artery disease; CVD, cardiovascular disease; BP, blood pressure.

    • ↵a Continuous variables with normal distribution are presented as means ± SD; continuous variables with non-normal distribution are presented as median (25th–75th percentiles); and categoric variables are presented as (No.) (%).

    • ↵b P value < .05.

    • View popup
    Table 2:

    The characteristics of intracranial plaque among NDM, DMGGC, and DMPGC groupsa

    NDM Group (n = 172)DMGGC Group (n = 55)DMPGC Group (n = 84)χ2P Value
    Plaque length (mm)4.90 (3.43–7.58)b6.10 (3.70–8.00)6.45 (4.63–10.95)b19.086<.001
    Plaque thickness (mm)1.40 (1.10–2.18)b1.60 (1.20–2.20)1.80 (1.40–2.38)b10.043.005
    Lumen stenosis (%)38.52 (16.67–72.67)b54.83 (39.29–72.41)66.67 (34.47–80.15)b17.757<.001
    Strong enhancement (No.) (%)109 (63.37)40 (72.73)1.617.203
    109 (63.37)b78 (92.86)b24.921<.001
    40 (72.73)b78 (92.86)b10.501.001
    • Note:—DMGGC indicates T2DM with good glycemic control; DMPGC, T2DM with poor glycemic control.

    • ↵a Continuous variables with non-normal distribution are presented as median (25th–75th percentiles); categoric variables are presented as (No.) (%).

    • ↵b P value < .05.

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    Table 3:

    Association between risk factors of cardiovascular disease and heavy burden and vulnerability of intracranial plaques

    Univariate RegressionMultivariate Regressiona
    OR95% CIP ValueOR95% CIP Value
    Plaque length
     Male1.7891.095–2.924.0201.8641.132–3.068.014
     Poor glycemic control1.8881.132–3.150.0151.9661.170–3.303.011
    Plaque thickness
     Low HDL1.8331.168–2.876.0081.7391.102–2.745.017
     Poor glycemic control2.0911.247–3.507.0051.9811.174–3.340.010
    Severe lumen stenosis
     Poor glycemic control1.9621.169–3.294.0111.9621.169–3.294.011
    Strong enhancement
     Low HDL2.2131.329–3.685.0022.0461.208–3.465.008
     Poor glycemic control5.7582.534–13.085<.0015.4482.385–12.444<.001
    • Note:—LDL indicates low-density lipoprotein cholesterol; HDL, high-density lipoprotein cholesterol.

    • ↵a Multivariate logistic regression adjusted for age, smoking, hypertension, history of coronary artery disease, and family history of cardiovascular disease.

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American Journal of Neuroradiology: 42 (1)
American Journal of Neuroradiology
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S. Jiao, J. Huang, Y. Chen, Y. Song, T. Gong, J. Lu, T. Guo, J. Zhang, C. Zhang, M. Chen
Impacts of Glycemic Control on Intracranial Plaque in Patients with Type 2 Diabetes Mellitus: A Vessel Wall MRI Study
American Journal of Neuroradiology Jan 2021, 42 (1) 75-81; DOI: 10.3174/ajnr.A6878

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Impacts of Glycemic Control on Intracranial Plaque in Patients with Type 2 Diabetes Mellitus: A Vessel Wall MRI Study
S. Jiao, J. Huang, Y. Chen, Y. Song, T. Gong, J. Lu, T. Guo, J. Zhang, C. Zhang, M. Chen
American Journal of Neuroradiology Jan 2021, 42 (1) 75-81; DOI: 10.3174/ajnr.A6878
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