Predictors of post-stroke cognitive impairment using acute structural MRI neuroimaging: A systematic review and meta-analysis

Author:

Ball Emily L12ORCID,Shah Mahnoor1,Ross Eilidh1,Sutherland Rachel3,Squires Charlotte3,Mead Gillian E4ORCID,Wardlaw Joanna M5ORCID,Quinn Terence J6ORCID,Religa Dorota2,Lundström Erik7ORCID,Cheyne Joshua1,Shenkin Susan D248ORCID

Affiliation:

1. Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK

2. Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden

3. NHS Lothian, Edinburgh, UK

4. Ageing and Health Research Group, Usher Institute, The University of Edinburgh, Edinburgh, UK

5. Centre for Clinical Brain Sciences, UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK

6. Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK

7. Neurology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden

8. Advanced Care Research Centre, Usher Institute, The University of Edinburgh, Edinburgh, UK

Abstract

Background: Stroke survivors are at an increased risk of developing post-stroke cognitive impairment and post-stroke dementia; those at risk could be identified by brain imaging routinely performed at stroke onset. Aim: This systematic review aimed to identify features which are associated with post-stroke cognitive impairment (including dementia) on magnetic resonance imaging (MRI) performed at stroke diagnosis. Summary of review: We searched the literature from inception to January 2022 and identified 10,284 records. We included studies that performed MRI at the time of stroke (0–30 days after a stroke) and assessed cognitive outcome at least 3 months after stroke. We synthesized findings from 26 papers, comprising 27 stroke-populations (N = 13,114, average age range = 40–80 years, 19–62% female). When data were available, we pooled unadjusted (ORu) and adjusted (ORa) odds ratios. We found associations between cognitive outcomes and presence of cerebral atrophy (three studies, N = 453, ORu = 2.48, 95% CI = 1.15–4.62), presence of microbleeds (two studies, N = 9151, ORa = 1.36, 95% CI = 1.08–1.70), and increasing severity of white matter hyperintensities (three studies, N = 704, ORa = 1.26, 95% CI = 1.06–1.49). Increasing cerebral small vessel disease score was associated with cognitive outcome following unadjusted analysis only (two studies, N = 499, ORu = 1.34, 95%CI = 1.12–1.61; three studies, N = 950, ORa = 1.23, 95% CI = 0.96–1.57). Associations remained after controlling for pre-stroke cognitive impairment. We did not find associations between other stroke features and cognitive outcome, or there were insufficient data. Conclusion: Acute stroke MRI features may enable healthcare professionals to identify patients at risk of post-stroke cognitive problems. However, there is still substantial uncertainty about the prognostic utility of acute MRI for this.

Funder

UK Dementia Research Institute

Swedish Research Council

Medical Research Council

Fondation Leducq

Alzheimer’s Society

British Heart Foundation

Mrs Gladys Row Fogo Charitable Trust

Publisher

SAGE Publications

Subject

Neurology

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