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

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...

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Autores principales: Cai, Mengfei, Jacob, Mina A., van Loenen, Mark R., Bergkamp, Mayra, Marques, José, Norris, David G., Duering, Marco, Tuladhar, Anil M., de Leeuw, Frank-Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389939/
https://www.ncbi.nlm.nih.gov/pubmed/35506383
http://dx.doi.org/10.1161/STROKEAHA.121.038099
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author Cai, Mengfei
Jacob, Mina A.
van Loenen, Mark R.
Bergkamp, Mayra
Marques, José
Norris, David G.
Duering, Marco
Tuladhar, Anil M.
de Leeuw, Frank-Erik
author_facet Cai, Mengfei
Jacob, Mina A.
van Loenen, Mark R.
Bergkamp, Mayra
Marques, José
Norris, David G.
Duering, Marco
Tuladhar, Anil M.
de Leeuw, Frank-Erik
author_sort Cai, Mengfei
collection PubMed
description 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.
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spelling pubmed-93899392022-08-19 Determinants and Temporal Dynamics of Cerebral Small Vessel Disease: 14-Year Follow-Up Cai, Mengfei Jacob, Mina A. van Loenen, Mark R. Bergkamp, Mayra Marques, José Norris, David G. Duering, Marco Tuladhar, Anil M. de Leeuw, Frank-Erik Stroke Original Contributions 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. Lippincott Williams & Wilkins 2022-05-04 2022-09 /pmc/articles/PMC9389939/ /pubmed/35506383 http://dx.doi.org/10.1161/STROKEAHA.121.038099 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Stroke is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle Original Contributions
Cai, Mengfei
Jacob, Mina A.
van Loenen, Mark R.
Bergkamp, Mayra
Marques, José
Norris, David G.
Duering, Marco
Tuladhar, Anil M.
de Leeuw, Frank-Erik
Determinants and Temporal Dynamics of Cerebral Small Vessel Disease: 14-Year Follow-Up
title Determinants and Temporal Dynamics of Cerebral Small Vessel Disease: 14-Year Follow-Up
title_full Determinants and Temporal Dynamics of Cerebral Small Vessel Disease: 14-Year Follow-Up
title_fullStr Determinants and Temporal Dynamics of Cerebral Small Vessel Disease: 14-Year Follow-Up
title_full_unstemmed Determinants and Temporal Dynamics of Cerebral Small Vessel Disease: 14-Year Follow-Up
title_short Determinants and Temporal Dynamics of Cerebral Small Vessel Disease: 14-Year Follow-Up
title_sort determinants and temporal dynamics of cerebral small vessel disease: 14-year follow-up
topic Original Contributions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389939/
https://www.ncbi.nlm.nih.gov/pubmed/35506383
http://dx.doi.org/10.1161/STROKEAHA.121.038099
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