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Research ArticleExtracranial Vascular

Carotid Artery Stiffness Accurately Predicts White Matter Hyperintensity Volume 20 Years Later: A Secondary Analysis of the Atherosclerosis Risk in the Community Study

A. de Havenon, K.-H. Wong, A. Elkhetali, J.S. McNally, J.J. Majersik and N.S. Rost
American Journal of Neuroradiology August 2019, 40 (8) 1369-1373; DOI: https://doi.org/10.3174/ajnr.A6115
A. de Havenon
aFrom the Department of Neurology (A.d.H., K.-H.W., A.E., J.S.M., J.J.M.), University of Utah, Salt Lake City, Utah
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K.-H. Wong
aFrom the Department of Neurology (A.d.H., K.-H.W., A.E., J.S.M., J.J.M.), University of Utah, Salt Lake City, Utah
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A. Elkhetali
aFrom the Department of Neurology (A.d.H., K.-H.W., A.E., J.S.M., J.J.M.), University of Utah, Salt Lake City, Utah
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J.S. McNally
aFrom the Department of Neurology (A.d.H., K.-H.W., A.E., J.S.M., J.J.M.), University of Utah, Salt Lake City, Utah
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J.J. Majersik
aFrom the Department of Neurology (A.d.H., K.-H.W., A.E., J.S.M., J.J.M.), University of Utah, Salt Lake City, Utah
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N.S. Rost
bHarvard Medical School (N.S.R.). Boston, Massachusetts.
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    FIGURE.

    Mean values of WMH and TBV in the quintiles of carotid sonography measurements. For strain, distensibility, and compliance, the higher quintiles reflect less carotid stiffness. For the Stiffness index and pressure-strain elastic modulus, the higher quintiles reflect more carotid stiffness.

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    Table 1:

    Baseline demographics at visit 2 and P values for association with concurrent carotid distensibility measurementa

    VariableFull Cohort (n = 1402)P Value for Association with Carotid Distensibility
    Age (mean)55.6 ± 5.3<.001d
    Male (No.) (%)571, 40.7.214
    Caucasian (No.) (%)1,023, 73.0.007d
    Hypertension (No.) (%) (n = 1396)280, 20.1<.001d
    Diabetes (No.) (%) (n = 1398)71, 5.1.265
    History of myocardial infarction (No.) (%)26, 1.9.898
    History of stroke (No.) (%)10, 0.7.602
    Prevalent coronary heart disease (No.) (%)16, 1.2.297
    Current cigarette smoking (No.) (%) (n = 1400)206, 14.7<.001d
    Current alcohol consumption (No.) (%) (n = 1400)846, 60.4.009d
    Body mass index (mean)27.1 ± 4.6<.001d
    LDL cholesterol (mean) (mg/dL) (n = 1376)131.2 ± 35.0.493
    HDL cholesterol (mean) (mg/dL) (n = 1328)49.3 ± 16.7.067
    Fasting blood glucose (mean) (mmol/L)5.9 ± 1.6.077
    Antihypertensive in last 2 weeks (No.) (%) (n = 1397)248, 17.8<.001d
    Aspirin in last 2 weeks (No.) (%) (n = 1400)632, 45.1.369
    Statin in last 2 weeks (No.) (%) (n = 1400)29, 2.1.651
    Plaque in either carotid on ultrasound (No.) (%) (n = 1392)310, 22.3.270
    Voltage of left ventricular leads on ECG (mean) (n = 1391)1174.2 ± 525.4<.001d
    WMH volume (mean) (mL)17.5 ± 17.4
    Total brain volume (mean) (mL) (n = 1397)b1015.8 ± 109.4
    Ratio of WMH/TBV (mean) (%) (n = 1397)b1.7 ± 1.7
    Mean systolic blood pressure (mm Hg)c135.0 ± 12.4
    Mean systolic SD (mm Hg)c15.8 ± 4.2
    Mean number of blood pressure readingsc23.3 ± 3.1
    Years between carotid ultrasound and MRI (mean)21.5 ± 0.9
    • Note:—ECG indicates electrocardiography; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

    • ↵a Association tested with linear regression for continuous variables and Student t test for categoric variables.

    • ↵b Derived from visit 5 MRI.

    • ↵c Derived from all available blood pressure readings from visit 2 through visit 5.

    • ↵d Significant.

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    Table 2:

    Linear regression fit to WMHv and TBV on the visit 5 MRI

    Ultrasound VariableModel 1aModel 2bModel 3c
    WMHv (mL)
        Strain
            β−1.2−0.7−0.9
            95% CI(−1.7 to −0.8)(−1.2 to −0.2)(−1.4 to −0.4)
            P value<.001.007.001
        Distensibility
            β−1.9−1.6−1.7
            95% CI(−3.2 to −0.6)(−2.9 to −0.3)(−3.0 to −0.4)
            P value.003.019.009
        Compliance
            β−0.1−0.3−0.2
            95% CI(−0.4–0.2)(−0.6–0.1)(−0.5–0.1)
            P value.355.115.127
        Stiffness index
            β45.130.635.9
            95% CI(23.1–67.2)(6.6–54.6)(12.5–59.3)
            P value<.001.012.003
        Pressure-strain elastic modulus
            β0.030.030.04
            95% CI(0.02–0.05)(0.02–0.05)(0.02–0.05)
            P value.001<.001<.001
    TBV (mL)
        Strain
            β0.10.70.3
            95% CI(−2.9–3.2)(−1.7–3.1)(−2.2–2.8)
            P value.940.581.820
        Distensibility
            β4.14.42.8
            95% CI(−4.0–12.3)(−1.7–10.4)(−3.4–9.0)
            P value.319.158.382
        Compliance
            β7.72.52.1
            95% CI(5.9–9.6)(1.0–3.9)(0.6–3.6)
            P value<.001.001.007
        Stiffness index
            β−276.3−72.7−55.1
            95% CI(−417.7 to −135.9)(−183.7–38.3)(−170.6–60.3)
            P value<.001.199.349
        Pressure-strain elastic modulus
            β−0.1−0.1−0.1
            95% CI(−0.2 to −0.01)(−0.2–0.01)(−0.1–0.03)
            P value.030.070.183
    • ↵a Model 1: adjusted for systolic blood pressure mean between visit 2 and visit 5 (n = 1402 for WMH and n = 1397 for total brain volume).

    • ↵b Model 2: WMH model adjusted for visit 2, patient age, sex, body mass index, HDL cholesterol, current smoking, history of hypertension (n = 1320). TBV model adjusted for patient age, sex, black race, fasting glucose, and current smoking (n = 1393).

    • ↵c Model 3: WMH model adjusted for visit 3, patient age, current cigarette smoking, history of hypertension, and voltage of left ventricular leads on ECG (n = 1289). TBV model adjusted for patient age, sex, black race, diabetes, and HDL cholesterol level (n = 1296).

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American Journal of Neuroradiology: 40 (8)
American Journal of Neuroradiology
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1 Aug 2019
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A. de Havenon, K.-H. Wong, A. Elkhetali, J.S. McNally, J.J. Majersik, N.S. Rost
Carotid Artery Stiffness Accurately Predicts White Matter Hyperintensity Volume 20 Years Later: A Secondary Analysis of the Atherosclerosis Risk in the Community Study
American Journal of Neuroradiology Aug 2019, 40 (8) 1369-1373; DOI: 10.3174/ajnr.A6115

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Carotid Artery Stiffness Accurately Predicts White Matter Hyperintensity Volume 20 Years Later: A Secondary Analysis of the Atherosclerosis Risk in the Community Study
A. de Havenon, K.-H. Wong, A. Elkhetali, J.S. McNally, J.J. Majersik, N.S. Rost
American Journal of Neuroradiology Aug 2019, 40 (8) 1369-1373; DOI: 10.3174/ajnr.A6115
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