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- Ball, Emily L., et al.
(författare)
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Predicting post-stroke cognitive impairment using acute CT neuroimaging : A systematic review and meta-analysis
- 2022
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Ingår i: International Journal of Stroke. - : Sage Publications. - 1747-4930 .- 1747-4949. ; 17:6, s. 618-627
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Forskningsöversikt (refereegranskat)abstract
- Background Identifying whether acute stroke patients are at risk of cognitive decline could improve prognostic discussions and management. Structural computed tomography neuroimaging is routine in acute stroke, and may identify those at risk of post-stroke dementia or post-stroke cognitive impairment (PSCI).Aim To systematically review the literature to identify which stroke or pre-stroke features on brain computed tomography scans, performed at the time of stroke, are associated with post-stroke dementia or PSCI.Summary of review We searched electronic databases to December 2020. We included studies reporting acute stroke brain computed tomography, and later diagnosis of a cognitive syndrome. We created summary estimates of size of unadjusted association between computed tomography features and cognition. Of 9536 citations, 28 studies (41 papers) were eligible (N = 7078, mean age 59.8-78.6 years). Cognitive outcomes were post-stroke dementia (10 studies), PSCI (17 studies), and one study analyzed both. Fifteen studies (N = 2952) reported data suitable for meta-analyses. White matter lesions (WML) (six studies, N = 1054, OR = 2.46, 95% CI = 1.25-4.84), cerebral atrophy (four studies, N = 558, OR = 2.80, 95% CI = 1.21-6.51), and pre-existing stroke lesions (three studies, N = 352, OR = 2.38, 95% CI = 1.06-5.32) were associated with post-stroke dementia. WML (four studies, N = 473, OR = 3.46, 95% CI = 2.17-5.52) were associated with PSCI. Other computed tomography features were either not associated with cognitive outcome, or there were insufficient data.Conclusions Cognitive impairment following stroke is of great concern to patients and carers. Features seen on visual assessment of acute stroke computed tomography brain scans are strongly associated with cognitive outcomes. Clinicians should consider when and how this information should be discussed with stroke survivors.
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| 2. |
- Ball, Emily Louise, et al.
(författare)
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Predictors of post-stroke cognitive impairment using acute structural MRI neuroimaging : A systematic review and meta-analysis
- 2023
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Ingår i: International Journal of Stroke. - : Sage Publications. - 1747-4930 .- 1747-4949. ; 18:5, s. 543-554
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Tidskriftsartikel (refereegranskat)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 three months after stroke. We synthesised 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 (3 studies, N=453, ORu=2.48, 95%CI=1.15-4.62), presence of microbleeds (2 studies, N=9151, ORa=1.36, 95%CI=1.08-1.70), and increasing severity of white matter hyperintensities (3 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 (2 studies, N=499, ORu=1.34, 95%CI=1.12-1.61; 3 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.CONCLUSIONS: 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.
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