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. 2022 Sep;53(9):2789-2798.
doi: 10.1161/STROKEAHA.121.038099. Epub 2022 May 4.

Determinants and Temporal Dynamics of Cerebral Small Vessel Disease: 14-Year Follow-Up

Affiliations

Determinants and Temporal Dynamics of Cerebral Small Vessel Disease: 14-Year Follow-Up

Mengfei Cai et al. Stroke. 2022 Sep.

Abstract

Background: The aim of this study is to investigate the temporal dynamics of small vessel disease (SVD) and the effect of vascular risk factors and baseline SVD burden on progression of SVD with 4 neuroimaging assessments over 14 years in patients with SVD.

Methods: Five hundred three patients with sporadic SVD (50-85 years) from the ongoing prospective cohort study (RUN DMC [Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort]) underwent baseline assessment in 2006 and follow-up in 2011, 2015, and 2020. Vascular risk factors and magnetic resonance imaging markers of SVD were evaluated. Linear mixed-effects model and negative binomial regression model were used to examine the determinants of temporal dynamics of SVD markers.

Results: A total of 382 SVD patients (mean [SD] 64.1 [8.4]; 219 men and 163 women) who underwent at least 2 serial brain magnetic resonance imaging scans were included, with mean (SD) follow-up of 11.15 (3.32) years. We found a highly variable temporal course of SVD. Mean (SD) WMH progression rate was 0.6 (0.74) mL/y (range, 0.02-4.73 mL/y) and 13.6% of patients had incident lacunes (1.03%/y) over the 14-year follow-up. About 4% showed net WMH regression over 14 years, whereas 38 out of 361 (10.5%), 5 out of 296 (2%), and 61 out of 231 (26%) patients showed WMH regression for the intervals 2006 to 2011, 2011 to 2015, and 2015 to 2020, respectively. Of these, 29 (76%), 5 (100%), and 57 (93%) showed overall progression across the 14-year follow-up, and the net overall WMH change between first and last scan considering all participants was a net average WMH progression over the 14-year period. Older age was a strong predictor for faster WMH progression and incident lacunes. Patients with mild baseline WMH rarely progressed to severe WMH. In addition, both baseline burden of SVD lesions and vascular risk factors independently and synergistically predicted WMH progression, whereas only baseline SVD burden predicted incident lacunes over the 14-year follow-up.

Conclusions: SVD shows pronounced progression over time, but mild WMH rarely progresses to clinically severe WMH. WMH regression is noteworthy during some magnetic resonance imaging intervals, although it could be overall compensated by progression over the long follow-up.

Keywords: cerebral small vessel disease; magnetic resonance imaging; neuroimaging; risk factor; white matter hyperintensities.

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Figures

Figure 1.
Figure 1.
Flow chart of RUN DMC study (Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort) population over time. MRI indicates magnetic resonance imaging.
Figure 2.
Figure 2.
White matter hyperintensity (WMH) trajectory and progression by age. A, WMH trajectory over time across 4 time points at individual level. The curves were smoothed by using locally weighted smoothing (loess) to explore average WMH change with increasing age. B, WMH progression rate was significantly different between any 2 age subgroups at baseline, all P<0.001. The boxes map to the median, 25th and 75th quartiles, and whiskers extend to 1.5 × interquartile range (IQR).
Figure 3.
Figure 3.
White matter hyperintensity (WMH) progression is stratified by Fazekas groups. A, WMH progression stratified by baseline Fazekas score. Participants who progressed into severe WMH burden with baseline mild and moderate WMH group were labeled in blue and red, respectively. B, WMH progression rate was significantly different between any 2 Fazekas subgroup, all P<0.05.

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