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22.10.2018 | Review

Biological and imaging predictors of cognitive impairment after stroke: a systematic review

verfasst von: Barbara Casolla, François Caparros, Charlotte Cordonnier, Stéphanie Bombois, Hilde Hénon, Régis Bordet, Francesco Orzi, Didier Leys

Erschienen in: Journal of Neurology | Ausgabe 11/2019

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Abstract

Background

Cognitive impairment is frequent after stroke, and several studies have suggested that biological and imaging characteristics present before stroke are associated with the development of post-stroke cognitive impairment.

Objective

The aim of our study was to systematically review biological and imaging predictors of cognitive impairment after stroke.

Method

Studies were identified from bibliographic databases and reference lists, and were included if conducted in patients with acute stroke, with at least 30 patients, and a follow-up of at least 3 months. We included articles on potential biomarkers of cognitive impairment that pre-existed to stroke.

Results

We identified 22,169 articles, including 20,349 with abstract. After analysis, 66 studies conducted in 42 cohorts met selection criteria. They included 30–9522 patients [median 170; interquartile range (IQR) 104–251] with a median follow-up of 12 months (IQR 3–36). All studies met quality criteria for description of the study population and standardization of biomarkers. Twenty-nine studies met all quality criteria. There was no convincing evidence that any biological marker may predict cognitive impairment. The most consistent predictors of cognitive impairment after stroke were global atrophy and medial temporal lobe atrophy.

Conclusion

Pre-existing cerebral atrophy is the most consistent predictor of cognitive impairment that can be identified in patients with an acute stroke.

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Titel: Biological and imaging predictors of cognitive impairment after stroke: a systematic review
verfasst von: Barbara Casolla
François Caparros
Charlotte Cordonnier
Stéphanie Bombois
Hilde Hénon
Régis Bordet
Francesco Orzi
Didier Leys
Publikationsdatum: 22.10.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Journal of Neurology / Ausgabe 11/2019
Print ISSN: 0340-5354
Elektronische ISSN: 1432-1459
DOI: https://doi.org/10.1007/s00415-018-9089-z

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