Post-stroke Cognitive Impairment—Impact of Follow-Up Time and Stroke Subtype on Severity and Cognitive Profile: The Nor-COAST Study
Background: Post-stroke cognitive impairment (PSCI) is common, but evidence of cognitive symptom profiles, course over time, and pathogenesis is scarce. We investigated the significance of time and etiologic stroke subtype for the probability of PSCI, severity, and cognitive profile.Methods: Stroke...
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Frontiers Media S.A.
2020-07-01
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Series: | Frontiers in Neurology |
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Online Access: | https://www.frontiersin.org/article/10.3389/fneur.2020.00699/full |
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language |
English |
format |
Article |
sources |
DOAJ |
author |
Stina Aam Stina Aam Marte Stine Einstad Ragnhild Munthe-Kaas Ragnhild Munthe-Kaas Stian Lydersen Hege Ihle-Hansen Hege Ihle-Hansen Hege Ihle-Hansen Anne-Brita Knapskog Hanne Ellekjær Hanne Ellekjær Yngve Seljeseth Ingvild Saltvedt Ingvild Saltvedt |
spellingShingle |
Stina Aam Stina Aam Marte Stine Einstad Ragnhild Munthe-Kaas Ragnhild Munthe-Kaas Stian Lydersen Hege Ihle-Hansen Hege Ihle-Hansen Hege Ihle-Hansen Anne-Brita Knapskog Hanne Ellekjær Hanne Ellekjær Yngve Seljeseth Ingvild Saltvedt Ingvild Saltvedt Post-stroke Cognitive Impairment—Impact of Follow-Up Time and Stroke Subtype on Severity and Cognitive Profile: The Nor-COAST Study Frontiers in Neurology post-stroke cognitive impairment vascular dementia stroke stroke subtype cognitive domains cerebrovascular disease |
author_facet |
Stina Aam Stina Aam Marte Stine Einstad Ragnhild Munthe-Kaas Ragnhild Munthe-Kaas Stian Lydersen Hege Ihle-Hansen Hege Ihle-Hansen Hege Ihle-Hansen Anne-Brita Knapskog Hanne Ellekjær Hanne Ellekjær Yngve Seljeseth Ingvild Saltvedt Ingvild Saltvedt |
author_sort |
Stina Aam |
title |
Post-stroke Cognitive Impairment—Impact of Follow-Up Time and Stroke Subtype on Severity and Cognitive Profile: The Nor-COAST Study |
title_short |
Post-stroke Cognitive Impairment—Impact of Follow-Up Time and Stroke Subtype on Severity and Cognitive Profile: The Nor-COAST Study |
title_full |
Post-stroke Cognitive Impairment—Impact of Follow-Up Time and Stroke Subtype on Severity and Cognitive Profile: The Nor-COAST Study |
title_fullStr |
Post-stroke Cognitive Impairment—Impact of Follow-Up Time and Stroke Subtype on Severity and Cognitive Profile: The Nor-COAST Study |
title_full_unstemmed |
Post-stroke Cognitive Impairment—Impact of Follow-Up Time and Stroke Subtype on Severity and Cognitive Profile: The Nor-COAST Study |
title_sort |
post-stroke cognitive impairment—impact of follow-up time and stroke subtype on severity and cognitive profile: the nor-coast study |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neurology |
issn |
1664-2295 |
publishDate |
2020-07-01 |
description |
Background: Post-stroke cognitive impairment (PSCI) is common, but evidence of cognitive symptom profiles, course over time, and pathogenesis is scarce. We investigated the significance of time and etiologic stroke subtype for the probability of PSCI, severity, and cognitive profile.Methods: Stroke survivors (n = 617) underwent cognitive assessments of attention, executive function, memory, language, perceptual-motor function, and the Montreal Cognitive Assessment (MoCA) after 3 and/or 18 months. PSCI was classified according to DSM-5 criteria. Stroke severity was assessed with the National Institutes of Health Stroke Scale (NIHSS). Stroke subtype was categorized as intracerebral hemorrhage (ICH), large artery disease (LAD), cardioembolic stroke (CE), small vessel disease (SVD), or un-/other determined strokes (UD). Mixed-effects logistic or linear regression was applied with PSCI, MoCA, and z-scores of the cognitive domains as dependent variables. Independent variables were time as well as stroke subtype, time, and interaction between these. The analyses were adjusted for age, education, and sex. The effects of time and stroke subtype were analyzed by likelihood ratio tests (LR).Results: Mean age was 72 years (SD 12), 42% were females, and mean NIHSS score at admittance was 3.8 (SD 4.8). Probability (95% CI) for PSCI after 3 and 18 months was 0.59 (0.51–0.66) and 0.51 (0.52–0.60), respectively and remained constant over time. Global measures and most cognitive domains were assessed as impaired for the entire stroke population and for most stroke subtypes. Executive function and language improved for the entire stroke population (LR) = 9.05, p = 0.003, and LR = 10.38, p = 0.001, respectively). After dividing the sample according to stroke subtypes, language improved for ICH patients (LR = 18.02, p = 0.003). No significant differences were found in the severity of impairment between stroke subtypes except for attention, which was impaired for LAD and CE in contrast to no impairment for SVD (LR = 56.58, p < 0.001).Conclusions: In this study including mainly minor strokes, PSCI is common for all subtypes, both early and long-term after stroke, while executive function and language improve over time. The findings might contribute to personalizing follow-up and offer new insights into underlying mechanisms. Further research is needed on underlying mechanisms, PSCI prevention and treatment, and relevance for rehabilitation. |
topic |
post-stroke cognitive impairment vascular dementia stroke stroke subtype cognitive domains cerebrovascular disease |
url |
https://www.frontiersin.org/article/10.3389/fneur.2020.00699/full |
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doaj-78da34d57fc645bfaa5f089886d38e0b2020-11-25T03:31:13ZengFrontiers Media S.A.Frontiers in Neurology1664-22952020-07-011110.3389/fneur.2020.00699551524Post-stroke Cognitive Impairment—Impact of Follow-Up Time and Stroke Subtype on Severity and Cognitive Profile: The Nor-COAST StudyStina Aam0Stina Aam1Marte Stine Einstad2Ragnhild Munthe-Kaas3Ragnhild Munthe-Kaas4Stian Lydersen5Hege Ihle-Hansen6Hege Ihle-Hansen7Hege Ihle-Hansen8Anne-Brita Knapskog9Hanne Ellekjær10Hanne Ellekjær11Yngve Seljeseth12Ingvild Saltvedt13Ingvild Saltvedt14Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, NorwayDepartment of Geriatric Medicine, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, NorwayDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, NorwayDepartment of Medicine, Vestre Viken Hospital Trust, Bærum Hospital, Drammen, NorwayInstitute of Clinical Medicine, University of Oslo, Oslo, NorwayDepartment of Mental Health, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, NorwayDepartment of Medicine, Vestre Viken Hospital Trust, Bærum Hospital, Drammen, NorwayInstitute of Clinical Medicine, University of Oslo, Oslo, NorwayDepartment of Geriatric Medicine, Oslo University Hospital, Oslo, NorwayDepartment of Geriatric Medicine, Oslo University Hospital, Oslo, NorwayDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, NorwayStroke Unit, Department of Internal Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, NorwayMedical Department, Ålesund Hospital, Møre and Romsdal Health Trust, Ålesund, NorwayDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, NorwayDepartment of Geriatric Medicine, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, NorwayBackground: Post-stroke cognitive impairment (PSCI) is common, but evidence of cognitive symptom profiles, course over time, and pathogenesis is scarce. We investigated the significance of time and etiologic stroke subtype for the probability of PSCI, severity, and cognitive profile.Methods: Stroke survivors (n = 617) underwent cognitive assessments of attention, executive function, memory, language, perceptual-motor function, and the Montreal Cognitive Assessment (MoCA) after 3 and/or 18 months. PSCI was classified according to DSM-5 criteria. Stroke severity was assessed with the National Institutes of Health Stroke Scale (NIHSS). Stroke subtype was categorized as intracerebral hemorrhage (ICH), large artery disease (LAD), cardioembolic stroke (CE), small vessel disease (SVD), or un-/other determined strokes (UD). Mixed-effects logistic or linear regression was applied with PSCI, MoCA, and z-scores of the cognitive domains as dependent variables. Independent variables were time as well as stroke subtype, time, and interaction between these. The analyses were adjusted for age, education, and sex. The effects of time and stroke subtype were analyzed by likelihood ratio tests (LR).Results: Mean age was 72 years (SD 12), 42% were females, and mean NIHSS score at admittance was 3.8 (SD 4.8). Probability (95% CI) for PSCI after 3 and 18 months was 0.59 (0.51–0.66) and 0.51 (0.52–0.60), respectively and remained constant over time. Global measures and most cognitive domains were assessed as impaired for the entire stroke population and for most stroke subtypes. Executive function and language improved for the entire stroke population (LR) = 9.05, p = 0.003, and LR = 10.38, p = 0.001, respectively). After dividing the sample according to stroke subtypes, language improved for ICH patients (LR = 18.02, p = 0.003). No significant differences were found in the severity of impairment between stroke subtypes except for attention, which was impaired for LAD and CE in contrast to no impairment for SVD (LR = 56.58, p < 0.001).Conclusions: In this study including mainly minor strokes, PSCI is common for all subtypes, both early and long-term after stroke, while executive function and language improve over time. The findings might contribute to personalizing follow-up and offer new insights into underlying mechanisms. Further research is needed on underlying mechanisms, PSCI prevention and treatment, and relevance for rehabilitation.https://www.frontiersin.org/article/10.3389/fneur.2020.00699/fullpost-stroke cognitive impairmentvascular dementiastrokestroke subtypecognitive domainscerebrovascular disease |