06 Oct 21. Featured Paper
Predicting post-stroke cognitive impairment using acute CT neuroimaging: A systematic review & meta-analysis
Background: Identifying whether acute stroke patients are at risk of cognitive decline could improve prognostic discussions & management.
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 created summary estimates of size of unadjusted association between computed tomography features & cognition.
Of 9536 citations, 28 studies (41 papers) were eligible (N = 7078, mean age 59.8–78.6 years).
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), & 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 & carers.
Clinicians should consider when & how this information should be discussed with stroke survivors.
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Featured paper: Predicting post-stroke cognitive impairment using acute CT neuroimaging: A systematic review & meta-analysis