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MRI phenotypes of the brain are related to future stroke and mortality in patients with manifest arterial disease: The SMART-MR study

Neurodegenerative and neurovascular diseases lead to heterogeneous brain abnormalities. A combined analysis of these abnormalities by phenotypes of the brain might give a more accurate representation of the underlying aetiology. We aimed to identify different MRI phenotypes of the brain and assessed...

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Autores principales: Jaarsma-Coes, Myriam G, Ghaznawi, Rashid, Hendrikse, Jeroen, Slump, Cornelis, Witkamp, Theo D, van der Graaf, Yolanda, Geerlings, Mirjam I, de Bresser, Jeroen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985990/
https://www.ncbi.nlm.nih.gov/pubmed/30547694
http://dx.doi.org/10.1177/0271678X18818918
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author Jaarsma-Coes, Myriam G
Ghaznawi, Rashid
Hendrikse, Jeroen
Slump, Cornelis
Witkamp, Theo D
van der Graaf, Yolanda
Geerlings, Mirjam I
de Bresser, Jeroen
author_facet Jaarsma-Coes, Myriam G
Ghaznawi, Rashid
Hendrikse, Jeroen
Slump, Cornelis
Witkamp, Theo D
van der Graaf, Yolanda
Geerlings, Mirjam I
de Bresser, Jeroen
author_sort Jaarsma-Coes, Myriam G
collection PubMed
description Neurodegenerative and neurovascular diseases lead to heterogeneous brain abnormalities. A combined analysis of these abnormalities by phenotypes of the brain might give a more accurate representation of the underlying aetiology. We aimed to identify different MRI phenotypes of the brain and assessed the risk of future stroke and mortality within these subgroups. In 1003 patients (59 ± 10 years) from the Second Manifestations of ARTerial disease-Magnetic Resonance (SMART-MR) study, different quantitative 1.5T brain MRI markers were used in a hierarchical clustering analysis to identify 11 distinct subgroups with a different distribution in brain MRI markers and cardiovascular risk factors, and a different risk of stroke (Cox regression: from no increased risk compared to the reference group with relatively few brain abnormalities to HR = 10.34; 95% CI 3.80↔28.12 for the multi-burden subgroup) and mortality (from no increased risk compared to the reference group to HR = 4.00; 95% CI 2.50↔6.40 for the multi-burden subgroup). In conclusion, within a group of patients with manifest arterial disease, we showed that different MRI phenotypes of the brain can be identified and that these were associated with different risks of future stroke and mortality. These MRI phenotypes can possibly classify individual patients and assess their risk of future stroke and mortality.
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spelling pubmed-69859902020-02-07 MRI phenotypes of the brain are related to future stroke and mortality in patients with manifest arterial disease: The SMART-MR study Jaarsma-Coes, Myriam G Ghaznawi, Rashid Hendrikse, Jeroen Slump, Cornelis Witkamp, Theo D van der Graaf, Yolanda Geerlings, Mirjam I de Bresser, Jeroen J Cereb Blood Flow Metab Original Articles Neurodegenerative and neurovascular diseases lead to heterogeneous brain abnormalities. A combined analysis of these abnormalities by phenotypes of the brain might give a more accurate representation of the underlying aetiology. We aimed to identify different MRI phenotypes of the brain and assessed the risk of future stroke and mortality within these subgroups. In 1003 patients (59 ± 10 years) from the Second Manifestations of ARTerial disease-Magnetic Resonance (SMART-MR) study, different quantitative 1.5T brain MRI markers were used in a hierarchical clustering analysis to identify 11 distinct subgroups with a different distribution in brain MRI markers and cardiovascular risk factors, and a different risk of stroke (Cox regression: from no increased risk compared to the reference group with relatively few brain abnormalities to HR = 10.34; 95% CI 3.80↔28.12 for the multi-burden subgroup) and mortality (from no increased risk compared to the reference group to HR = 4.00; 95% CI 2.50↔6.40 for the multi-burden subgroup). In conclusion, within a group of patients with manifest arterial disease, we showed that different MRI phenotypes of the brain can be identified and that these were associated with different risks of future stroke and mortality. These MRI phenotypes can possibly classify individual patients and assess their risk of future stroke and mortality. SAGE Publications 2018-12-14 2020-02 /pmc/articles/PMC6985990/ /pubmed/30547694 http://dx.doi.org/10.1177/0271678X18818918 Text en © The Author(s) 2018 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Jaarsma-Coes, Myriam G
Ghaznawi, Rashid
Hendrikse, Jeroen
Slump, Cornelis
Witkamp, Theo D
van der Graaf, Yolanda
Geerlings, Mirjam I
de Bresser, Jeroen
MRI phenotypes of the brain are related to future stroke and mortality in patients with manifest arterial disease: The SMART-MR study
title MRI phenotypes of the brain are related to future stroke and mortality in patients with manifest arterial disease: The SMART-MR study
title_full MRI phenotypes of the brain are related to future stroke and mortality in patients with manifest arterial disease: The SMART-MR study
title_fullStr MRI phenotypes of the brain are related to future stroke and mortality in patients with manifest arterial disease: The SMART-MR study
title_full_unstemmed MRI phenotypes of the brain are related to future stroke and mortality in patients with manifest arterial disease: The SMART-MR study
title_short MRI phenotypes of the brain are related to future stroke and mortality in patients with manifest arterial disease: The SMART-MR study
title_sort mri phenotypes of the brain are related to future stroke and mortality in patients with manifest arterial disease: the smart-mr study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985990/
https://www.ncbi.nlm.nih.gov/pubmed/30547694
http://dx.doi.org/10.1177/0271678X18818918
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