Association between estimated pulse wave velocity and silent lacunar infarct in a Korean population

Figures

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  FIGURE 1. Smoothing curve fitting of the association between ePWV and the risk of SLI. Smooth curve fitting was performed using a generalized additive model to determine the correlation between ePWV and the risk of SLI after adjusting for age, sex, smoking, DM, CAOD, hyperlipidemia, statin medication, fasting glucose and eGFR. In this figure, the solid red line represents the estimated risk of SLI, and the dotted blue lines represent a point wise 95% confidence interval. CAOD, coronary artery occlusive disease; DM, diabetes mellitus; ePWV, estimated pulse wave velocity; eGFR, estimated glomerular filtration rate; SLI, silent lacunar infarct.

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  FIGURE 2. Subgroup analysis for the impact of ePWV on the SLI. The dots and lines indicate the estimates of the odds ratios of SLI for ePWV and the corresponding 95% confidence intervals, respectively. The multivariate logistic model adjusted for age, sex, smoking, DM, CAOD, hyperlipidemia, statin medication, fasting glucose and eGFR, except for the variable that is stratified. None of the stratified variables significantly modified the impact of ePWV on the risk of SLI (all P for interaction > 0.05). CAOD, coronary artery occlusive disease; DM, diabetes mellitus; ePWV, estimated pulse wave velocity; eGFR, estimated glomerular filtration rate; SLI, silent lacunar infarct.