Cerebral small vessel disease and risk of incident stroke, dementia and depression, and all-cause mortality: A systematic review and meta-analysis
•Cerebral small vessel disease may lead to stroke, dementia, and depression.•We did a systematic review/meta-analysis of studies on these associations.•Strong and consistent associations were found.•In particular for combined MRI features of small vessel disease.•A substantial burden of disease is a...
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| Veröffentlicht in: | Neuroscience and biobehavioral reviews Jg. 90; S. 164 - 173 |
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| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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United States
Elsevier Ltd
01.07.2018
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| ISSN: | 0149-7634, 1873-7528, 1873-7528 |
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| Abstract | •Cerebral small vessel disease may lead to stroke, dementia, and depression.•We did a systematic review/meta-analysis of studies on these associations.•Strong and consistent associations were found.•In particular for combined MRI features of small vessel disease.•A substantial burden of disease is attributable to small vessel disease.
MRI features of cerebral small vessel disease (CSVD), i.e. white matter hyperintensities, lacunes, microbleeds, perivascular spaces, and cerebral atrophy, may be associated with clinical events, but the strength of these associations remains unclear. We conducted a systematic review and meta-analysis on the association between these features and incident ischaemic and haemorrhagic stroke, all-cause dementia and depression, and all-cause mortality. For the association with stroke, 36 studies were identified (number of individuals/events [n] = 38,432/4,136), for dementia 28 (n = 16,458/1,709), for depression nine (n = 9,538/1,746), and for mortality 28 (n = 23,031/2,558). Only two studies evaluated perivascular spaces; these results were not pooled. Pooled analyses showed that all other features were associated with all outcomes (hazard ratios ranged 1.22–2.72). Combinations of two features were more strongly associated with stroke than any individual feature. Individual features and combinations of CSVD features are strongly associated with incident ischaemic and haemorrhagic stroke, all-cause dementia and depression, and all-cause mortality. If these associations are causal, the strength of these associations suggests that a substantial burden of disease is attributable to CSVD. |
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| AbstractList | MRI features of cerebral small vessel disease (CSVD), i.e. white matter hyperintensities, lacunes, microbleeds, perivascular spaces, and cerebral atrophy, may be associated with clinical events, but the strength of these associations remains unclear. We conducted a systematic review and meta-analysis on the association between these features and incident ischaemic and haemorrhagic stroke, all-cause dementia and depression, and all-cause mortality. For the association with stroke, 36 studies were identified (number of individuals/events [n] = 38,432/4,136), for dementia 28 (n = 16,458/1,709), for depression nine (n = 9,538/1,746), and for mortality 28 (n = 23,031/2,558). Only two studies evaluated perivascular spaces; these results were not pooled. Pooled analyses showed that all other features were associated with all outcomes (hazard ratios ranged 1.22–2.72). Combinations of two features were more strongly associated with stroke than any individual feature. Individual features and combinations of CSVD features are strongly associated with incident ischaemic and haemorrhagic stroke, all-cause dementia and depression, and all-cause mortality. If these associations are causal, the strength of these associations suggests that a substantial burden of disease is attributable to CSVD. MRI features of cerebral small vessel disease (CSVD), i.e. white matter hyperintensities, lacunes, microbleeds, perivascular spaces, and cerebral atrophy, may be associated with clinical events, but the strength of these associations remains unclear. We conducted a systematic review and meta-analysis on the association between these features and incident ischaemic and haemorrhagic stroke, all-cause dementia and depression, and all-cause mortality. For the association with stroke, 36 studies were identified (number of individuals/events [n] = 38,432/4,136), for dementia 28 (n = 16,458/1,709), for depression nine (n = 9,538/1,746), and for mortality 28 (n = 23,031/2,558). Only two studies evaluated perivascular spaces; these results were not pooled. Pooled analyses showed that all other features were associated with all outcomes (hazard ratios ranged 1.22-2.72). Combinations of two features were more strongly associated with stroke than any individual feature. Individual features and combinations of CSVD features are strongly associated with incident ischaemic and haemorrhagic stroke, all-cause dementia and depression, and all-cause mortality. If these associations are causal, the strength of these associations suggests that a substantial burden of disease is attributable to CSVD.MRI features of cerebral small vessel disease (CSVD), i.e. white matter hyperintensities, lacunes, microbleeds, perivascular spaces, and cerebral atrophy, may be associated with clinical events, but the strength of these associations remains unclear. We conducted a systematic review and meta-analysis on the association between these features and incident ischaemic and haemorrhagic stroke, all-cause dementia and depression, and all-cause mortality. For the association with stroke, 36 studies were identified (number of individuals/events [n] = 38,432/4,136), for dementia 28 (n = 16,458/1,709), for depression nine (n = 9,538/1,746), and for mortality 28 (n = 23,031/2,558). Only two studies evaluated perivascular spaces; these results were not pooled. Pooled analyses showed that all other features were associated with all outcomes (hazard ratios ranged 1.22-2.72). Combinations of two features were more strongly associated with stroke than any individual feature. Individual features and combinations of CSVD features are strongly associated with incident ischaemic and haemorrhagic stroke, all-cause dementia and depression, and all-cause mortality. If these associations are causal, the strength of these associations suggests that a substantial burden of disease is attributable to CSVD. •Cerebral small vessel disease may lead to stroke, dementia, and depression.•We did a systematic review/meta-analysis of studies on these associations.•Strong and consistent associations were found.•In particular for combined MRI features of small vessel disease.•A substantial burden of disease is attributable to small vessel disease. MRI features of cerebral small vessel disease (CSVD), i.e. white matter hyperintensities, lacunes, microbleeds, perivascular spaces, and cerebral atrophy, may be associated with clinical events, but the strength of these associations remains unclear. We conducted a systematic review and meta-analysis on the association between these features and incident ischaemic and haemorrhagic stroke, all-cause dementia and depression, and all-cause mortality. For the association with stroke, 36 studies were identified (number of individuals/events [n] = 38,432/4,136), for dementia 28 (n = 16,458/1,709), for depression nine (n = 9,538/1,746), and for mortality 28 (n = 23,031/2,558). Only two studies evaluated perivascular spaces; these results were not pooled. Pooled analyses showed that all other features were associated with all outcomes (hazard ratios ranged 1.22–2.72). Combinations of two features were more strongly associated with stroke than any individual feature. Individual features and combinations of CSVD features are strongly associated with incident ischaemic and haemorrhagic stroke, all-cause dementia and depression, and all-cause mortality. If these associations are causal, the strength of these associations suggests that a substantial burden of disease is attributable to CSVD. |
| Author | van Sloten, Thomas T. Rensma, Sytze P. Stehouwer, Coen D.A. Launer, Lenore J. |
| AuthorAffiliation | a CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre+, PO Box 616, 6200 MD, Maastricht, The Netherlands b Department of Internal Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands c Intramural Research Program, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, 7201 Wisconsin Avenue, Bethesda, MD, USA |
| AuthorAffiliation_xml | – name: a CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre+, PO Box 616, 6200 MD, Maastricht, The Netherlands – name: b Department of Internal Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands – name: c Intramural Research Program, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, 7201 Wisconsin Avenue, Bethesda, MD, USA |
| Author_xml | – sequence: 1 givenname: Sytze P. surname: Rensma fullname: Rensma, Sytze P. email: s.rensma@maastrichtuniversity.nl organization: CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre+, PO Box 616, 6200 MD, Maastricht, The Netherlands – sequence: 2 givenname: Thomas T. surname: van Sloten fullname: van Sloten, Thomas T. email: t.vansloten@maastrichtuniversity.nl organization: CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre+, PO Box 616, 6200 MD, Maastricht, The Netherlands – sequence: 3 givenname: Lenore J. surname: Launer fullname: Launer, Lenore J. email: LaunerL@nia.nih.gov organization: Intramural Research Program, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, 7201 Wisconsin Avenue, Bethesda, MD, USA – sequence: 4 givenname: Coen D.A. surname: Stehouwer fullname: Stehouwer, Coen D.A. email: cda.stehouwer@mumc.nl organization: CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre+, PO Box 616, 6200 MD, Maastricht, The Netherlands |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29656031$$D View this record in MEDLINE/PubMed |
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| ContentType | Journal Article |
| Copyright | 2018 The Authors Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved. |
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| ISSN | 0149-7634 1873-7528 |
| IngestDate | Tue Nov 04 02:02:50 EST 2025 Sun Sep 28 01:06:01 EDT 2025 Mon Jul 21 06:03:08 EDT 2025 Sat Nov 29 07:29:13 EST 2025 Tue Nov 18 22:00:51 EST 2025 Fri Feb 23 02:47:53 EST 2024 |
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| Keywords | White matter hyperintensities Stroke Mortality Depression Systematic review Microbleeds Lacunes Perivascular spaces Cerebral atrophy Cerebral small vessel disease Dementia Meta-analysis |
| Language | English |
| License | This is an open access article under the CC BY license. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/). |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 These authors contributed equally to the manuscript. |
| OpenAccessLink | https://pubmed.ncbi.nlm.nih.gov/PMC6123527 |
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| PublicationTitle | Neuroscience and biobehavioral reviews |
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| Snippet | •Cerebral small vessel disease may lead to stroke, dementia, and depression.•We did a systematic review/meta-analysis of studies on these associations.•Strong... MRI features of cerebral small vessel disease (CSVD), i.e. white matter hyperintensities, lacunes, microbleeds, perivascular spaces, and cerebral atrophy, may... |
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| SubjectTerms | Cerebral atrophy Cerebral small vessel disease Cerebral Small Vessel Diseases - complications Cerebral Small Vessel Diseases - mortality Dementia Dementia - complications Dementia - mortality Depression Depression - mortality Depressive Disorder - complications Depressive Disorder - mortality Humans Lacunes Meta-analysis Microbleeds Mortality Perivascular spaces Risk Stroke Stroke - complications Stroke - mortality Systematic review White matter hyperintensities |
| Title | Cerebral small vessel disease and risk of incident stroke, dementia and depression, and all-cause mortality: A systematic review and meta-analysis |
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