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Lo JW, Crawford JD, Lipnicki DM, Lipton RB, Katz MJ, Preux PM, Guerchet M, d’Orsi E, Quialheiro A, Rech CR, Ritchie K, Skoog I, Najar J, Sterner TR, Rolandi E, Davin A, Rossi M, Riedel-Heller SG, Pabst A, Röhr S, Ganguli M, Jacobsen E, Snitz BE, Anstey KJ, Aiello AE, Brodaty H, Kochan NA, Chen YC, Chen JH, Sanchez-Juan P, del Ser T, Valentí M, Lobo A, De-la-Cámara C, Lobo E, Sachdev PS. Trajectory of Cognitive Decline Before and After Stroke in 14 Population Cohorts. JAMA Netw Open 2024; 7:e2437133. [PMID: 39356504 PMCID: PMC11447567 DOI: 10.1001/jamanetworkopen.2024.37133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 07/25/2024] [Indexed: 10/03/2024] Open
Abstract
Importance Poststroke cognitive impairment is common, but the cognitive trajectory following a first stroke, relative to prestroke cognitive function, remains unclear. Objective To map the trajectory of cognitive function before any stroke and after stroke in global cognition and in 4 cognitive domains, as well as to compare the cognitive trajectory prestroke in stroke survivors with the trajectory of individuals without incident stroke over follow-up. Design, Setting, and Participants The study used harmonized and pooled data from 14 population-based cohort studies included in the Cohort Studies of Memory in an International Consortium collaboration. These studies were conducted from 1993 to 2019 across 11 countries among community-dwelling older adults without a history of stroke or dementia. For this study, linear mixed-effects models were used to estimate trajectories of cognitive function poststroke relative to a stroke-free cognitive trajectory. The full model adjusted for demographic and vascular risk factors. Data were analyzed from July 2022 to March 2024. Exposure Incident stroke. Main outcomes and measures The primary outcome was global cognition, defined as the standardized average of 4 cognitive domains (language, memory, processing speed, and executive function). Cognitive domain scores were formed by selecting the most commonly administered test within each domain and standardizing the scores. Results The study included 20 860 participants (12 261 [58.8%] female) with a mean (SD) age of 72.9 (8.0) years and follow-up of 7.51 (4.2) years. Incident stroke was associated with a substantial acute decline in global cognition (-0.25 SD; 95% CI, -0.33 to -0.17 SD), the Mini-Mental State Examination, and all cognitive domains (ranging from -0.17 SD to -0.22 SD), as well as accelerated decline in global cognition (-0.038 SD per year; 95% CI, -0.057 to -0.019 SD per year) and all domains except memory (ranging from -0.020 to -0.055 SD per year), relative to a stroke-free cognitive trajectory. There was no significant difference in prestroke slope in stroke survivors compared with the rate of decline in individuals without stroke in all cognitive measures. The mean rate of decline without a previous stroke was -0.049 SD per year (95% CI, -0.051 to -0.047 SD) in global cognition. Conclusions and relevance In this cohort study using pooled data from 14 cohorts, incident stroke was associated with acute and accelerated long-term cognitive decline in older stroke survivors.
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Affiliation(s)
- Jessica W. Lo
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - John D. Crawford
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Darren M. Lipnicki
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Richard B. Lipton
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
| | - Mindy J. Katz
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
| | - Pierre-Marie Preux
- Inserm U1094, IRD UMR270, Univ. Limoges, CHU Limoges, EpiMaCT - Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France
| | - Maëlenn Guerchet
- Inserm U1094, IRD UMR270, Univ. Limoges, CHU Limoges, EpiMaCT - Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France
- Laboratory of Chronic and Neurological Diseases Epidemiology, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
| | - Eleonora d’Orsi
- Federal University of Santa Catarina, Trindade University Campus, Florianópolis, Santa Catarina, Brazil
| | - Anna Quialheiro
- IA&Saúde—The Artificial Intelligence and Health Research Unit, Polytechnic University of Health, CESPU, Portugal
| | - Cassiano Ricardo Rech
- Department of Physical Education, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil
| | - Karen Ritchie
- Inserm U1061: Neuropsychiatrie Hôpital La Colombière, BP34493, Montpellier, France
| | - Ingmar Skoog
- Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - Jenna Najar
- Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Psychotic Disorders, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
- Section Genomics of Neurdegenerative Diseases and Aging, Department of Human Genetics Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Therese Rydberg Sterner
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, Centre for Ageing and Health, University of Gothenburg, Gothenburg, Sweden
| | - Elena Rolandi
- Golgi Cenci Foundation, Abbiategrasso, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | | | | | - Steffi G. Riedel-Heller
- Faculty of Medicine, Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Alexander Pabst
- Faculty of Medicine, Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Susanne Röhr
- Faculty of Medicine, Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
- School of Psychology, Massey University, Albany Campus, Auckland, Aotearoa, New Zealand
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Mary Ganguli
- Departments of Psychiatry, Neurology, and Epidemiology, School of Medicine and School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Erin Jacobsen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Beth E. Snitz
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Kaarin J. Anstey
- Ageing Futures Institute, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
- School of Psychology, University of New South Wales, Sydney, Australia
| | - Allison E. Aiello
- Department of Epidemiology and Robert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, New York
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Nicole A. Kochan
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Yen-Ching Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Master Program of Statistics, National Taiwan University, Taipei, Taiwan
| | - Jen-Hau Chen
- Department of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | | | - Teodoro del Ser
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, 28031, Madrid, Spain
| | - Meritxell Valentí
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, 28031, Madrid, Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Concepción De-la-Cámara
- Department of Medicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Elena Lobo
- Department of Medicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, Zaragoza, Spain
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
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Ngamdu KS, Kalra DK. Risk of Stroke, Dementia, and Cognitive Decline with Coronary and Arterial Calcification. J Clin Med 2024; 13:4263. [PMID: 39064303 PMCID: PMC11277788 DOI: 10.3390/jcm13144263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 07/15/2024] [Accepted: 07/19/2024] [Indexed: 07/28/2024] Open
Abstract
Extant research shows that following a cerebrovascular insult to the brain, patients may develop a wide range of cognitive disorders, spanning from mild cognitive impairment (CI) to advanced dementia. Several studies have shown that atherosclerosis in the carotid, coronary, and breast arteries is associated with an increased risk of stroke, CI, and dementia. In this review, we examine the association of subclinical atherosclerotic calcification detected by computed tomography (CT) in these arterial beds and the risk of stroke, CI, and dementia. A major advantage of CT is that it can accurately quantify vascular calcification in different parts of the vasculature during a single examination. However, the strength of the association between CT findings and CI and stroke varies with the location and severity of the arteries involved. Data are still limited on this topic, highlighting the need for additional investigations to further our understanding of the risk of cognitive impairment in patients with subclinical atherosclerosis. It is equally important to test preventive strategies for managing patients in whom vascular calcifications are identified incidentally in randomized controlled trials to study the effects on outcomes, including incidents of stroke and CI.
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Affiliation(s)
| | - Dinesh K. Kalra
- Division of Cardiology, University of Louisville School of Medicine, 201 Abraham Flexner Way, Suite 600, Louisville, KY 40202, USA
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Joundi RA, O'Connell ME, Patten S, Smith EE. Mediation of Post-Stroke Function by Cognition in the Canadian Longitudinal Study on Aging. Can J Neurol Sci 2024; 51:64-72. [PMID: 36627236 DOI: 10.1017/cjn.2023.6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Cognitive and functional impairment after stroke are common, but the relation between cognitive and functional decline after stroke is not well studied. METHODS We used the comprehensive cohort in the Canadian Longitudinal Study on Aging to identify those with prior stroke, and we calculated reliable cognitive change scores from baseline to follow-up for the memory and executive domains. Functional decline was defined as an increase in the number of dependent daily activities. Using formal mediation analysis, we tested the presence and degree of mediation of the association between stroke and functional decline by cognitive decline. RESULTS There were 22,648 individuals with memory change scores (325 with stroke) and 17,613 individuals with executive change scores (241 with stroke). History of stroke was significantly associated with memory decline (-0.26 standard deviations, 95% CI -0.33 to -0.19), executive decline (-0.22, 95% CI -0.36 to -0.09), and new functional impairment (adjusted odds ratio 2.31, 95% CI 1.80-2.97) over a median of 3-year follow-up. Cognitive decline was a significant mediator of functional decline. Memory decline mediated only 5% of the relationship, whereas executive and overall cognitive decline mediated 13% and 22%, respectively. CONCLUSION Cognitive decline is a mediator of the association between prior stroke and functional decline; consequently, strategies to delay, attenuate, or prevent cognitive decline after stroke may be important to preserving long-term functional status.
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Affiliation(s)
- Raed A Joundi
- Division of Neurology, Hamilton Health Sciences, McMaster University & Population Health Research Institute, Hamilton, Ontario, Canada
| | - Megan E O'Connell
- Department of Psychology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Scott Patten
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Eric E Smith
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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Becker CJ, Heeringa SG, Chang W, Briceño EM, Mehdipanah R, Levine DA, Langa KM, Gonzales XF, Garcia N, Longoria R, Springer MV, Zahuranec DB, Morgenstern LB. Differential Impact of Stroke on Cognitive Impairment in Mexican Americans and Non-Hispanic White Americans. Stroke 2022; 53:3394-3400. [PMID: 35959679 PMCID: PMC9613525 DOI: 10.1161/strokeaha.122.039533] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 07/11/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND The association between stroke and dementia is well established. Less is known about this association in underrepresented ethnic groups. In a large ethnically diverse cohort, we examined whether history of stroke was associated with cognitive impairment, and whether this relationship differed by ethnicity (Mexican American [MA] versus non-Hispanic White). METHODS This was a population-based cohort study conducted in Nueces County, TX, a biethnic community with a large and primarily nonimmigrant MA population. Residents aged ≥65 were recruited door-to-door or by telephone between May 2018 and December 2021. The primary exposure was history of stroke, obtained by self-report. Demographic, medical, and educational histories were also obtained. The primary outcome was the Montreal Cognitive Assessment (MoCA), a scale that evaluates multiple domains of cognitive performance. Scores were divided into 3 ordinal categories, roughly corresponding to normal cognition (MoCA 26-30), mild cognitive impairment (MoCA 20-25), or probable dementia (MoCA 0-19). RESULTS One thousand eight hundred one participants completed MoCA screening (55% female; 50% MA, 44% Non-Hispanic White, 6% other), of whom 12.4% reported history of stroke. Stroke prevalence was similar across ethnicities (X2 2.1; P=0.34). In a multivariable cumulative logit regression model for the ordinal cognition outcome, a stroke by ethnicity interaction was observed (P=0.01). Models stratified by ethnicity revealed that stroke was associated with cognitive impairment across ethnicities, but had greater impact on cognition in non-Hispanic Whites (cumulative odds ratio=3.81 [95% CI, 2.37-6.12]) than in MAs (cumulative odds ratio=1.58 [95% CI, 1.04-2.41]). Increased age and lower educational attainment were also associated with cognitive impairment, regardless of ethnicity. CONCLUSIONS History of stroke was associated with increased odds of cognitive impairment after controlling for other factors in both MA and Non-Hispanic White participants. The magnitude of the impact of stroke on cognition was less in MA than in Non-Hispanic White participants.
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Affiliation(s)
- Christopher J Becker
- Department of Neurology (C.J.B., D.A.L., N.G., R.L., M.V.S., D.B.Z., L.B.M.), University of Michigan Medical School, Ann Arbor
| | - Steven G Heeringa
- Institute for Social Research, University of Michigan, Ann Arbor (S.G.H., W.C., K.M.L.)
| | - Wen Chang
- Institute for Social Research, University of Michigan, Ann Arbor (S.G.H., W.C., K.M.L.)
| | - Emily M Briceño
- Department of Physical Medicine and Rehabilitation (E.M.B.), University of Michigan Medical School, Ann Arbor
- Institute for Social Research, University of Michigan, Ann Arbor (S.G.H., W.C., K.M.L.)
| | - Roshanak Mehdipanah
- Department of Health Behavior and Health Education (R.M.), University of Michigan School of Public Health, Ann Arbor
| | - Deborah A Levine
- Department of Neurology (C.J.B., D.A.L., N.G., R.L., M.V.S., D.B.Z., L.B.M.), University of Michigan Medical School, Ann Arbor
- Department of Internal Medicine (D.A.L., K.M.L.), University of Michigan Medical School, Ann Arbor
| | - Kenneth M Langa
- Department of Internal Medicine (D.A.L., K.M.L.), University of Michigan Medical School, Ann Arbor
| | | | - Nelda Garcia
- Department of Neurology (C.J.B., D.A.L., N.G., R.L., M.V.S., D.B.Z., L.B.M.), University of Michigan Medical School, Ann Arbor
| | - Ruth Longoria
- Department of Neurology (C.J.B., D.A.L., N.G., R.L., M.V.S., D.B.Z., L.B.M.), University of Michigan Medical School, Ann Arbor
| | - Mellanie V Springer
- Department of Neurology (C.J.B., D.A.L., N.G., R.L., M.V.S., D.B.Z., L.B.M.), University of Michigan Medical School, Ann Arbor
| | - Darin B Zahuranec
- Department of Neurology (C.J.B., D.A.L., N.G., R.L., M.V.S., D.B.Z., L.B.M.), University of Michigan Medical School, Ann Arbor
| | - Lewis B Morgenstern
- Department of Neurology (C.J.B., D.A.L., N.G., R.L., M.V.S., D.B.Z., L.B.M.), University of Michigan Medical School, Ann Arbor
- Center for Social Epidemiology and Population Health (L.B.M.), University of Michigan School of Public Health, Ann Arbor
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Walsh CE, Yang YC, Oi K, Aiello A, Belsky D, Harris KM, Plassman BL. Age Profiles of Cognitive Decline and Dementia in Late Life in the Aging, Demographics, and Memory Study. J Gerontol B Psychol Sci Soc Sci 2022; 77:1880-1891. [PMID: 35171992 PMCID: PMC9535777 DOI: 10.1093/geronb/gbac038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To better understand the temporal dynamics of progression from cognitive decline to onset of dementia in the dementia-free older population in the United States. METHODS We used longitudinal data from a diverse national population-based sample of older adults (N = 531) in the Aging, Demographics, and Memory Study from the Health and Retirement Study with repeated measures of cognitive function and dementia diagnosis during 12 years of follow-up from 1996 to 2009. We employed joint latent class mixed models to estimate the association between cognitive change and competing risks of dementia and nondementia death and identify heterogeneity in the age profiles of such association adjusting for baseline characteristics. RESULTS Our analyses found 3 latent classes with distinct age profiles of cognitive decline and associated risk of dementia and mortality: "Rapid Cognitive Decline" (19.6%), "Moderate Progression" (44.6%), and "Optimal Cognitive Aging" (35.8%). When simultaneously accounting for cognitive trajectories and time-to-dementia/death, we also found associations of baseline covariates with slope of cognitive decline (e.g., steeper decline among non-Hispanic Blacks and more educated) and risk of dementia (e.g., greater risk for females and apolipoprotein E-4 carriers, but no difference by education level) that differ substantially from those in separate longitudinal mixed models or survival models. DISCUSSION The differential age patterns of cognitive decline predicting dementia incidences identified in this study suggest variation in the course of cognitive aging in older adults that may inform future etiological and intervention studies.
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Affiliation(s)
- Christine E Walsh
- Department of Health, Behavior, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Yang C Yang
- Department of Sociology, Lineberger Cancer Center, and Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Katsuya Oi
- Department of Sociology, Northern Arizona University, Flagstaff, Arizona, USA
| | - Allison Aiello
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Daniel Belsky
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, New York, USA
| | - Kathleen Mullan Harris
- Department of Sociology, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Brenda L Plassman
- Department of Psychiatry and Behavioral Science, Duke University, Durham, North Carolina, USA
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Moran C, Xu ZY, Mehta H, Gillies M, Karayiannis C, Beare R, Chen C, Srikanth V. Neuroimaging and cognitive correlates of retinal Optical Coherence Tomography (OCT) measures at late middle age in a twin sample. Sci Rep 2022; 12:9562. [PMID: 35688899 PMCID: PMC9187769 DOI: 10.1038/s41598-022-13662-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/26/2022] [Indexed: 11/09/2022] Open
Abstract
Sharing in embryology and function between the eye and brain has led to interest in whether assessments of the eye reflect brain changes seen in neurodegeneration. We aimed to examine the associations between measures of retinal layer thickness using optical coherence tomography (OCT) and multimodal measures of brain structure and function. Using a convenient sample of twins discordant for type 2 diabetes, we performed cognitive testing, structural brain MRI (tissue volumetry), diffusion tensor imaging (white matter microstructure), and arterial spin labelling (cerebral blood flow). OCT images were recorded and retinal thickness maps generated. We used mixed level modelling to examine the relationship between retinal layer thicknesses and brain measures. We enrolled 35 people (18 pairs, mean age 63.8 years, 63% female). Ganglion cell layer thickness was positively associated with memory, speed, gray matter volume, and altered mean diffusivity. Ganglion cell layer thickness was strongly positively associated with regional cerebral blood flow. We found only a limited number of associations between other retinal layer thickness and measures of brain structure or function. Ganglion cell layer thickness showed consistent associations with a range of brain measures suggesting it may have utility as a marker for future dementia risk.
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Affiliation(s)
- Chris Moran
- National Centre for Healthy Ageing, Melbourne, Australia.,Department of Geriatric Medicine, Peninsula Health and Central Clinical School, Monash University, Melbourne, Australia.,Department of Aged Care, Alfred Health, Melbourne, Australia
| | - Zheng Yang Xu
- Royal Free London NHS Foundation Trust, London, UK.,UCL Medical School, London, UK
| | - Hemal Mehta
- Royal Free London NHS Foundation Trust, London, UK.,Macular Research Group, University of Sydney, Sydney, Australia
| | - Mark Gillies
- Macular Research Group, University of Sydney, Sydney, Australia
| | - Chris Karayiannis
- National Centre for Healthy Ageing, Melbourne, Australia.,Department of Geriatric Medicine, Peninsula Health and Central Clinical School, Monash University, Melbourne, Australia
| | - Richard Beare
- National Centre for Healthy Ageing, Melbourne, Australia.,Department of Geriatric Medicine, Peninsula Health and Central Clinical School, Monash University, Melbourne, Australia
| | - Christine Chen
- Department of Ophthalmology, Monash Health, Melbourne, Australia
| | - Velandai Srikanth
- National Centre for Healthy Ageing, Melbourne, Australia. .,Department of Geriatric Medicine, Peninsula Health and Central Clinical School, Monash University, Melbourne, Australia.
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Bako AT, Potter T, Tannous J, Pan AP, Johnson C, Baig E, Downer B, Vahidy FS. Sex differences in post-stroke cognitive decline: A population-based longitudinal study of nationally representative data. PLoS One 2022; 17:e0268249. [PMID: 35522611 PMCID: PMC9075630 DOI: 10.1371/journal.pone.0268249] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Accepted: 04/25/2022] [Indexed: 12/21/2022] Open
Abstract
Background Sex differences in post-stroke cognitive decline have not been systematically evaluated in a nationally representative cohort. We use a quasi-experimental design to investigate sex differences in rate of post-stroke cognitive decline. Methods Utilizing the event study design, we use the Health and Retirement Study (HRS) data (1996–2016) to evaluate the differences (percentage points [95% Confidence interval]) in the rate of change in cognitive function, measured using the modified version of the Telephone Interview for Cognitive Status (TICS-m) score, before and after incident stroke, and among patients with and without incident stroke. We estimated this event study model for the overall study population and separately fit the same model for male and female participants. Results Of 25,872 HRS participants included in our study, 14,459 (55.9%) were females with an overall mean age (SD) of 61.2 (9.3) years. Overall, 2,911 (11.3%) participants reported experiencing incident stroke. Participants with incident stroke (vs. no stroke) had lower baseline TICS-m score (15.6 vs. 16.1). Among participants with incident stroke, the mean pre-stroke TICS-m score was higher than the mean post-stroke TICS-m score (14.9 vs. 12.7). Event study revealed a significant short-term acceleration of cognitive decline for the overall population (4.2 [1.7–6.6] percentage points, p value = 0.001) and among female participants (5.0 [1.7–8.3] percentage points, p value = 0.003). We, however, found no evidence of long-term acceleration of cognitive decline after stroke. Moreover, among males, incident stroke was not associated with significant changes in rate of post-stroke cognitive decline. Conclusion Females, in contrast to males, experience post-stroke cognitive deficits, particularly during early post-stroke period. Identifying the sex-specific stroke characteristics contributing to differences in post stroke cognitive decline may inform future strategies for reducing the burden of post-stroke cognitive impairment and dementia.
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Affiliation(s)
- Abdulaziz T. Bako
- Center for Outcomes Research, Houston Methodist, Houston, TX, United States of America
| | - Thomas Potter
- Center for Outcomes Research, Houston Methodist, Houston, TX, United States of America
| | - Jonika Tannous
- Center for Outcomes Research, Houston Methodist, Houston, TX, United States of America
| | - Alan P. Pan
- Center for Outcomes Research, Houston Methodist, Houston, TX, United States of America
| | - Carnayla Johnson
- Center for Outcomes Research, Houston Methodist, Houston, TX, United States of America
| | - Eman Baig
- Center for Outcomes Research, Houston Methodist, Houston, TX, United States of America
| | - Brian Downer
- Department of Nutrition, Metabolism & Rehabilitation Sciences, University of Texas Medical Branch, Galveston, TX, United States of America
| | - Farhaan S. Vahidy
- Center for Outcomes Research, Houston Methodist, Houston, TX, United States of America
- Houston Methodist Neurological Institute, Houston, TX, United States of America
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States of America
- * E-mail:
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Mood and Cognitive Trajectories Over the First Year after Mild Ischemic Stroke. J Stroke Cerebrovasc Dis 2022; 31:106323. [DOI: 10.1016/j.jstrokecerebrovasdis.2022.106323] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 01/08/2022] [Accepted: 01/11/2022] [Indexed: 11/17/2022] Open
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Moran C, Than S, Callisaya M, Beare R, Srikanth V. New Horizons-Cognitive Dysfunction Associated With Type 2 Diabetes. J Clin Endocrinol Metab 2022; 107:929-942. [PMID: 34788847 DOI: 10.1210/clinem/dgab797] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Indexed: 11/19/2022]
Abstract
The prevalence of type 2 diabetes (T2D) and cognitive dysfunction increases with age. As society ages, clinicians will be increasingly tasked with managing older people who have both T2D and cognitive dysfunction. T2D is associated with an increased risk of cognitive dysfunction and hence there is increasing interest in whether T2D is a causal factor in the pathogenesis of cognitive decline and dementia. Recent advances in the use of sensitive measures of in vivo brain dysfunction in life-course studies can help understand potential mechanistic pathways and also help guide recommendations for clinical practice. In this article we will describe new horizons in the understanding of cognitive dysfunction associated with T2D. Coming from a clinical perspective, we discuss potential mechanisms and pathways linking the 2 conditions and the contribution of multimodal neuroimaging and study designs to advancing understanding in the field. We also highlight the important issues on the horizon that will need addressing in clinical identification, management, and risk reduction for people with coexistent T2D and cognitive dysfunction.
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Affiliation(s)
- Chris Moran
- Academic Unit, Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, 3199 Victoria, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, 3199 Victoria, Australia
- Department of Geriatric Medicine, Alfred Health, Melbourne, 3004 Victoria, Australia
| | - Stephanie Than
- Academic Unit, Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, 3199 Victoria, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, 3199 Victoria, Australia
| | - Michele Callisaya
- Academic Unit, Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, 3199 Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, 7000 Tasmania, Australia
| | - Richard Beare
- Academic Unit, Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, 3199 Victoria, Australia
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, 3052 Victoria, Australia
| | - Velandai Srikanth
- Academic Unit, Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, 3199 Victoria, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, 3199 Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, 7000 Tasmania, Australia
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10
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Huang YY, Chen SD, Leng XY, Kuo K, Wang ZT, Cui M, Tan L, Wang K, Dong Q, Yu JT. Post-Stroke Cognitive Impairment: Epidemiology, Risk Factors, and Management. J Alzheimers Dis 2022; 86:983-999. [PMID: 35147548 DOI: 10.3233/jad-215644] [Citation(s) in RCA: 57] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Stroke, characterized as a neurological deficit of cerebrovascular cause, is very common in older adults. Increasing evidence suggests stroke contributes to the risk and severity of cognitive impairment. People with cognitive impairment following stroke often face with quality-of-life issues and require ongoing support, which have a profound effect on caregivers and society. The high morbidity of post-stroke cognitive impairment (PSCI) demands effective management strategies, in which preventive strategies are more appealing, especially those targeting towards modifiable risk factors. In this review article, we attempt to summarize existing evidence and knowledge gaps on PSCI: elaborating on the heterogeneity in current definitions, reporting the inconsistent findings in PSCI prevalence in the literature, exploring established or less established predictors, outlining prevention and treatment strategies potentially effective or currently being tested, and proposing promising directions for future research.
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Affiliation(s)
- Yu-Yuan Huang
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, China
| | - Shi-Dong Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, China
| | - Xin-Yi Leng
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, China
| | - Kevin Kuo
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, China
| | - Zuo-Teng Wang
- Department of Neurology, Qingdao Municipal Hospital, College of Medicine and Pharmaceutics, Ocean University of China, China
| | - Mei Cui
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, College of Medicine and Pharmaceutics, Ocean University of China, China.,Department of Neurology, Qingdao Municipal Hospital, Qingdao University, China
| | - Kai Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, China
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11
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Lu W, Richards M, Werring D, Bobak M. Memory Trajectories Before and After First and Recurrent Strokes. Neurology 2022; 98:e589-e600. [PMID: 34893555 PMCID: PMC8829961 DOI: 10.1212/wnl.0000000000013171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 11/19/2021] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Evidence on timing of memory change after first and recurrent strokes is limited and inconsistent. We investigated memory trajectories before and after first and recurrent strokes in 18 European countries and tested whether the country-level acute stroke care was associated with memory change after stroke. METHODS Data were from the Survey of Health, Ageing and Retirement in Europe (2004-2019). Incident first and recurrent strokes were identified among baseline stroke-free individuals. Within each country, each participant with incident stroke (case group) was matched with a stroke-free individual (control group) using propensity score matching. We applied multilevel segmented linear regression to quantify acute and accelerated memory changes (measured by the sum score of immediate and delayed word recall tests; 0-20 words) before and after first and recurrent strokes in both groups. Associations between stroke and memory were compared between countries with different levels of acute stroke care indicators. RESULTS The final analytical sample included 35,164 participants who were stroke-free at baseline (≥50 years). A total of 2,362 incident first and 341 recurrent strokes between 2004 and 2019 were identified. In case groups, mean acute decreases in memory scores were 0.48 (95% confidence interval [CI] 0.31, 0.65) and 1.14 (95% CI 0.80, 1.48) words after first and recurrent stroke, respectively, independent of a range of confounders. No such acute decreases were observed in the control group after a hypothetical nonstroke onset date. In both groups, memory declined over time but decline rates were similar (-0.07 [95% CI -0.10, -0.05] vs -0.06 [95% CI -0.08, -0.05] words per year). The mean acute decreases in memory scores after first and recurrent strokes were smaller in countries with better access to endovascular treatment. DISCUSSION We found acute decreases but not accelerated declines in memory after first and recurrent strokes. Improved endovascular therapy might be associated with smaller memory loss after stroke but more evidence based on individual-level data is needed. More effort should be made in early assessment and intensive prevention of stroke among the ageing population and promoting access to and delivery of acute stroke care among patients with stroke.
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Affiliation(s)
- Wentian Lu
- From the Research Department of Epidemiology and Public Health (W.L., M.B.), MRC Unit for Lifelong Health & Ageing (M.R.), and Stroke Research Centre, UCL Queen Square Institute of Neurology (D.W.), University College London, UK.
| | - Marcus Richards
- From the Research Department of Epidemiology and Public Health (W.L., M.B.), MRC Unit for Lifelong Health & Ageing (M.R.), and Stroke Research Centre, UCL Queen Square Institute of Neurology (D.W.), University College London, UK
| | - David Werring
- From the Research Department of Epidemiology and Public Health (W.L., M.B.), MRC Unit for Lifelong Health & Ageing (M.R.), and Stroke Research Centre, UCL Queen Square Institute of Neurology (D.W.), University College London, UK
| | - Martin Bobak
- From the Research Department of Epidemiology and Public Health (W.L., M.B.), MRC Unit for Lifelong Health & Ageing (M.R.), and Stroke Research Centre, UCL Queen Square Institute of Neurology (D.W.), University College London, UK
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12
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Huang KL, Hsiao IT, Chang TY, Yang SY, Chang YJ, Wu HC, Liu CH, Wu YM, Lin KJ, Ho MY, Lee TH. Neurodegeneration and Vascular Burden on Cognition After Midlife: A Plasma and Neuroimaging Biomarker Study. Front Hum Neurosci 2022; 15:735063. [PMID: 34970128 PMCID: PMC8712753 DOI: 10.3389/fnhum.2021.735063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 11/19/2021] [Indexed: 11/13/2022] Open
Abstract
Background and Objectives: Neurodegeneration and vascular burden are the two most common causes of post-stroke cognitive impairment. However, the interrelationship between the plasma beta-amyloid (Aβ) and tau protein, cortical atrophy and brain amyloid accumulation on PET imaging in stroke patients is undetermined. We aimed to explore: (1) the relationships of cortical thickness and amyloid burden on PET with plasma Aβ40, Aβ42, tau protein and their composite scores in stroke patients; and (2) the associations of post-stroke cognitive presentations with these plasma and neuroimaging biomarkers. Methods: The prospective project recruited first-ever ischemic stroke patients around 3 months after stroke onset. The plasma Aβ40, Aβ42, and total tau protein were measured with the immunomagnetic reduction method. Cortical thickness was evaluated on MRI, and cortical amyloid plaque deposition was evaluated by 18F-florbetapir PET. Cognition was evaluated with Mini-Mental State Examination (MMSE), Geriatric Depression Scale (GDS), Dementia Rating Scale-2 (DRS-2). Results: The study recruited 24 stroke patients and 13 normal controls. The plasma tau and tau*Aβ42 levels were correlated with mean cortical thickness after age adjustment. The Aβ42/Aβ40 ratio was correlated with global cortical 18F-florbetapir uptake value. The DRS-2 and GDS scores were associated with mean cortical thickness and plasma biomarkers, including Aβ42/Aβ40, tau, tau*Aβ42, tau/Aβ42, and tau/Aβ40 levels, in stroke patients. Conclusion: Plasma Aβ, tau, and their composite scores were associated with cognitive performance 3 months after stroke, and these plasma biomarkers were correlated with corresponding imaging biomarkers of neurodegeneration. Further longitudinal studies with a larger sample size are warranted to replicate the study results.
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Affiliation(s)
- Kuo-Lun Huang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Ing-Tsung Hsiao
- Department of Nuclear Medicine and Molecular Imaging Center, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Healthy Aging Research Center and Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Ting-Yu Chang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | | | - Yeu-Jhy Chang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Hsiu-Chuan Wu
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chi-Hung Liu
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Ming Wu
- Department of Radiology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kun-Ju Lin
- Department of Nuclear Medicine and Molecular Imaging Center, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Healthy Aging Research Center and Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Meng-Yang Ho
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Tsong-Hai Lee
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, Taoyuan, Taiwan
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13
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Lo JW, Crawford JD, Desmond DW, Bae HJ, Lim JS, Godefroy O, Roussel M, Kang Y, Jahng S, Köhler S, Staals J, Verhey F, Chen C, Xu X, Chong EJ, Kandiah N, Yatawara C, Bordet R, Dondaine T, Mendyk AM, Brodaty H, Traykov L, Mehrabian S, Petrova N, Kim KW, Bae JB, Han JW, Lipnicki DM, Lam B, Sachdev PS. Long-Term Cognitive Decline After Stroke: An Individual Participant Data Meta-Analysis. Stroke 2021; 53:1318-1327. [PMID: 34775838 DOI: 10.1161/strokeaha.121.035796] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Poststroke cognitive impairment is common, but the trajectory and magnitude of cognitive decline after stroke is unclear. We examined the course and determinants of cognitive change after stroke using individual participant data from the Stroke and Cognition Consortium. METHODS Nine longitudinal hospital-based cohorts from 7 countries were included. Neuropsychological test scores and normative data were used to calculate standardized scores for global cognition and 5 cognitive domains. One-step individual participant data meta-analysis was used to examine the rate of change in cognitive function and risk factors for cognitive decline after stroke. Stroke-free controls were included to examine rate differences. Based on the literature and our own data that showed short-term improvement in cognitive function after stroke, key analyses were restricted to the period beginning 1-year poststroke to focus on its long-term effects. RESULTS A total of 1488 patients (mean age, 66.3 years; SD, 11.1; 98% ischemic stroke) were followed for a median of 2.68 years (25th-75th percentile: 1.21-4.14 years). After an initial period of improvement through up to 1-year poststroke, decline was seen in global cognition and all domains except executive function after adjusting for age, sex, education, vascular risk factors, and stroke characteristics (-0.053 SD/year [95% CI, -0.073 to -0.033]; P<0.001 for global cognition). Recurrent stroke and older age were associated with faster decline. Decline was significantly faster in patients with stroke compared with controls (difference=-0.078 SD/year [95% CI, -0.11 to -0.045]; P<0.001 for global cognition in a subgroup analysis). CONCLUSIONS Patients with stroke experience cognitive decline that is faster than that of stroke-free controls from 1 to 3 years after onset. An increased rate of decline is associated with older age and recurrent stroke.
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Affiliation(s)
- Jessica W Lo
- Centre for Healthy Brain Ageing (CHeBA), UNSW, Sydney, Australia (J.W.L., J.D.C., H.B., D.M.L., B.L., P.S.S.)
| | - John D Crawford
- Centre for Healthy Brain Ageing (CHeBA), UNSW, Sydney, Australia (J.W.L., J.D.C., H.B., D.M.L., B.L., P.S.S.)
| | | | - Hee-Joon Bae
- Department of Neurology, Seoul National University School of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (H.-J.B.)
| | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, Seoul, Republic of Korea (J.-S.L., Y.K.)
| | - Olivier Godefroy
- Department of Neurology and Laboratory of Functional Neurosciences, University Hospital of Amiens, France (O.G., M.R.)
| | - Martine Roussel
- Department of Neurology and Laboratory of Functional Neurosciences, University Hospital of Amiens, France (O.G., M.R.)
| | - Yeonwook Kang
- Department of Neurology, Asan Medical Center, Seoul, Republic of Korea (J.-S.L., Y.K.).,Department of Psychology, Hallym University, Republic of Korea (Y.K.)
| | - Seungmin Jahng
- Department of Psychology, Sungkyunkwan University, Republic of Korea (S.J.)
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Alzheimer Center Limburg, Maastricht University, The Netherlands (S.K., F.V.)
| | - Julie Staals
- Department of Neurology, School for Cardiovascular diseases (CARIM), Maastricht University Medical Center (MUMC+), The Netherlands (J.S.)
| | - Frans Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Alzheimer Center Limburg, Maastricht University, The Netherlands (S.K., F.V.)
| | - Christopher Chen
- Memory Aging and Cognition Centre, Departments of Pharmacology and Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore (C.C., E.J.C.)
| | - Xin Xu
- The Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China (X.X.)
| | - Eddie J Chong
- Memory Aging and Cognition Centre, Departments of Pharmacology and Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore (C.C., E.J.C.)
| | - Nagaendran Kandiah
- National Neuroscience Institute, Singapore (N.K., C.Y.).,Duke-NUS Medical School, Singapore (N.K.)
| | | | - Régis Bordet
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative & Vascular Cognitive Disorders, France (R.B., T.D., A.-M.M.)
| | - Thibaut Dondaine
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative & Vascular Cognitive Disorders, France (R.B., T.D., A.-M.M.)
| | - Anne-Marie Mendyk
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative & Vascular Cognitive Disorders, France (R.B., T.D., A.-M.M.)
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), UNSW, Sydney, Australia (J.W.L., J.D.C., H.B., D.M.L., B.L., P.S.S.).,Dementia Collaborative Research Centre, UNSW Medicine, UNSW, Sydney, Australia (H.B., P.S.S.)
| | - Latchezar Traykov
- Clinic of Neurology, UH "Alexandrovska", Medical University - Sofia, Bulgaria (L.T., S.M.)
| | - Shima Mehrabian
- Clinic of Neurology, UH "Alexandrovska", Medical University - Sofia, Bulgaria (L.T., S.M.)
| | - Neli Petrova
- Kaneff University Hospital, Ruse, Bulgaria (N.P.)
| | - Ki Woong Kim
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Republic of Korea (K.W.K.).,Department of Psychiatry, Seoul National University, College of Medicine, Republic of Korea (K.W.K.).,Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (K.W.K., J.B.B., J.W.H.)
| | - Jong Bin Bae
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (K.W.K., J.B.B., J.W.H.)
| | - Ji Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (K.W.K., J.B.B., J.W.H.)
| | - Darren M Lipnicki
- Centre for Healthy Brain Ageing (CHeBA), UNSW, Sydney, Australia (J.W.L., J.D.C., H.B., D.M.L., B.L., P.S.S.)
| | - Ben Lam
- Centre for Healthy Brain Ageing (CHeBA), UNSW, Sydney, Australia (J.W.L., J.D.C., H.B., D.M.L., B.L., P.S.S.)
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), UNSW, Sydney, Australia (J.W.L., J.D.C., H.B., D.M.L., B.L., P.S.S.).,Dementia Collaborative Research Centre, UNSW Medicine, UNSW, Sydney, Australia (H.B., P.S.S.)
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14
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Ismail M, Mok VC, Wong A, Au L, Yiu B, Wang Z, Chu WC, Chan AY, Fan FS, Ma SH, Ip V, Ip B, Ma K, Leung H, Soo YO, Leung TW, Ko H, Lau AY, Lam BY. Risk factors for delayed-onset dementia after stroke or transient ischemic attack-A five-year longitudinal cohort study. Int J Stroke 2021; 17:517-525. [PMID: 34109903 DOI: 10.1177/17474930211026519] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Stroke not only substantially increases the risk of incident dementia early after stroke but also the risk remains elevated years after. AIM We aimed to determine the risk factors of dementia onset more than three to six months after stroke or transient ischemic attack. METHODS This is a single-center prospective cohort study. We recruited consecutive subjects with stroke/transient ischemic attack without early-onset dementia. We conducted an annual neuropsychological assessment for five years. We investigated the association between baseline demographic, clinical, genetic (APOEɛ4 allele), and radiological factors as well as incident recurrent stroke with delayed-onset dementia using Cox proportional hazards models. RESULTS In total, 1007 patients were recruited, of which 88 with early-onset dementia and 162 who lost to follow-ups were excluded. Forty-nine (6.5%) out of 757 patients have incident delayed-onset dementia. The presence of ≥3 lacunes, history of ischemic heart disease, history of ischemic stroke, and a lower baseline Hong Kong version of the Montreal Cognitive Assessment (MoCA) score were significantly associated with delayed-onset dementia. APOEɛ4 allele, medial temporal lobe atrophy, and recurrent stroke were not predictive. CONCLUSION The presence of ≥3 lacunes, history of ischemic heart disease, history of ischemic stroke, and a lower baseline MoCA score are associated with delayed-onset dementia after stroke/transient ischemic attack.
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Affiliation(s)
- Moamina Ismail
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent Ct Mok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Adrian Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Lisa Au
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Brian Yiu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Zhaolu Wang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Winnie Cw Chu
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anne Yy Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Florence Sy Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Sze H Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent Ip
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Bonaventure Ip
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Karen Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Howan Leung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yannie Oy Soo
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Thomas Wh Leung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ho Ko
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Alexander Yl Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Bonnie Yk Lam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
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15
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Huang KL, Hsiao IT, Ho MY, Hsu JL, Chang YJ, Chang TY, Liu CH, Chang CH, Wu YM, Wu KY, Wey SP, Yen TC, Okamura N, Lee TH, Lin KJ. Investigation of reactive astrogliosis effect on post-stroke cognitive impairment. J Neuroinflammation 2020; 17:308. [PMID: 33069238 PMCID: PMC7568828 DOI: 10.1186/s12974-020-01985-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 10/05/2020] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND The aim of this study is to investigate the associations between post-stroke cognitive impairment (PSCI) severity and reactive astrogliosis (RA) extent on normalized 18F-THK-5351 positron-emission tomography (PET) imaging in amyloid-negative patients with first-ever stroke. METHODS We prospectively enrolled 63 amyloid-negative patients with first-ever stroke. Neurocognitive evaluation, MRI, 18F-THK-5351, and 18F-florbetapir PET were performed around 3 months after stroke. The 18F-THK-5351 uptake intensity was normalized using a signal distribution template to obtain the Z-SUM scores as the RA extent in the whole brain and cerebral hemisphere ipsilateral to stroke lesion. We evaluated stroke volume, leukoaraiosis, and brain atrophy on MRI. We used a comprehensive neurocognitive battery to obtain composite cognitive scores, and defined PSCI as a general cognitive function score < - 1. We analyzed the influence of Z-SUM scores on PSCI severity after adjusting for demographic, vascular, and neurodegenerative variables. RESULTS Twenty-five of 63 stroke patients had PSCI. Patients with PSCI had older age, lower education, and more severe cortical atrophy and total Z-SUM scores. Total Z-SUM scores were significantly associated with general cognitive and executive functions at multiple regression models. Path analyses showed that stroke can exert cognitive influence directly by stroke itself as well as indirectly through RA, including total and ipsilateral Z-SUM scores, in patients with either right or left hemisphere stroke. CONCLUSION The patterns and intensity of 18F-THK-5351 uptake in amyloid-negative patients with first-ever stroke were associated with PSCI manifestations, which suggests that RA presents a modulating effect in PSCI development.
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Affiliation(s)
- Kuo-Lun Huang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, No. 5, Fuxing St., Guishan, Taoyuan, Taiwan
| | - Ing-Tsung Hsiao
- Department of Nuclear Medicine and Molecular Imaging Center, Linkou Chang Gung Memorial Hospital, No. 5, Fuxing St., Guishan, Taoyuan, Taiwan
- Healthy Aging Research Center and Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Meng-Yang Ho
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, No. 5, Fuxing St., Guishan, Taoyuan, Taiwan
- Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Jung-Lung Hsu
- Department of Neurology, New Taipei Municipal TuCheng Hospital, Chang Gung Memorial Hospital, Chang Gung University, New Taipei City, Taiwan
- Taipei Medical University, College of Humanities and Social Sciences, Graduate Institute of Humanities in Medicine and Research Center for Brain and Consciousness, Shuang Ho Hospital, Taipei, Taiwan
| | - Yeu-Jhy Chang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, No. 5, Fuxing St., Guishan, Taoyuan, Taiwan
| | - Ting-Yu Chang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, No. 5, Fuxing St., Guishan, Taoyuan, Taiwan
| | - Chi-Hung Liu
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, No. 5, Fuxing St., Guishan, Taoyuan, Taiwan
| | - Chien-Hung Chang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, No. 5, Fuxing St., Guishan, Taoyuan, Taiwan
| | - Yi-Ming Wu
- Department of Radiology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kuan-Yi Wu
- Department of Psychiatry, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shiaw-Pyng Wey
- Department of Nuclear Medicine and Molecular Imaging Center, Linkou Chang Gung Memorial Hospital, No. 5, Fuxing St., Guishan, Taoyuan, Taiwan
- Healthy Aging Research Center and Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Tzu-Chen Yen
- Department of Nuclear Medicine and Molecular Imaging Center, Linkou Chang Gung Memorial Hospital, No. 5, Fuxing St., Guishan, Taoyuan, Taiwan
- Healthy Aging Research Center and Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Nobuyuki Okamura
- Division of Neuro-imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Division of Pharmacology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Tsong-Hai Lee
- Department of Neurology, Linkou Chang Gung Memorial Hospital, and College of Medicine, Chang Gung University, No. 5, Fuxing St., Guishan, Taoyuan, Taiwan.
| | - Kun-Ju Lin
- Department of Nuclear Medicine and Molecular Imaging Center, Linkou Chang Gung Memorial Hospital, No. 5, Fuxing St., Guishan, Taoyuan, Taiwan.
- Healthy Aging Research Center and Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
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16
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Hagberg G, Fure B, Thommessen B, Ihle-Hansen H, Øksengård AR, Nygård S, Pendlebury ST, Beyer MK, Wyller TB, Ihle-Hansen H. Predictors for Favorable Cognitive Outcome Post-Stroke: A-Seven-Year Follow-Up Study. Dement Geriatr Cogn Disord 2020; 48:45-55. [PMID: 31461703 DOI: 10.1159/000501850] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 07/01/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND AND PURPOSE Knowledge of the burden and development of post-stroke cognitive impairments (CIs) in the long-term after the first event is limited. We aimed to assess the prevalence of mild CI (MCI) and dementia 7 years after first-ever stroke or transient ischemic attack (TIA), to subclassify the impairments, and to identify predictors for a favorable cognitive outcome. MATERIALS AND METHODS During 2007 and 2008, 208 patients with first-ever stroke or TIA without preexisting CI were included. After 1 and 7 years, survivors were invited to a follow-up. Transitions of cognitive status from 1 to 7 years were recorded based on the 3 categories dementia, MCI, or none. Etiologic subclassification was based on clinical cognitive profile, magnetic resonance imaging (MRI) findings, and biomarkers at both time points. Favorable outcome was defined as normal cognitive function or MCI after 7 years with exclusion of those who had progression from normal to MCI. RESULTS Eighty patients died during follow-up, 12 patients refused further participation. After 7 years, 109 completed follow-up of whom 40 (37%) were diagnosed with MCI and 24 (22%) with dementia. Of the 64 patients diagnosed with CI, 9 were subclassified with degenerative cognitive disease, 13 with vascular disease, and 42 had mixed cognitive disease. In all, 65 patients (60%) had a favorable outcome. In multivariable logistic regression analysis, lower age and lower medial temporal lobe atrophy (MTLA) grade on MRI at 12 months were independently associated with a favorable outcome, adjusted OR (95% CI), 0.94 (0.86-0.92), and 0.55 (0.35-0.85), respectively. CONCLUSIONS Sixty percent of stroke survivors have a favorable cognitive outcome. Lower age and lower MTLA grade on MRI were associated with favorable outcome.
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Affiliation(s)
- Guri Hagberg
- Department of Internal Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Oslo, Norway, .,Institute of Clinical Medicine, University of Oslo, Oslo, Norway,
| | - Brynjar Fure
- Department of Internal Medicine, Karlstad Central Hospital and Institute of Public Health, University of Tromsoe, Tromsoe, Norway
| | - Bente Thommessen
- Department of Neurology, Akershus University Hospital, Akershus, Norway
| | - Håkon Ihle-Hansen
- Department of Internal Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Anne-Rita Øksengård
- Department of Internal Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Oslo, Norway
| | - Ståle Nygård
- Bioinformatics Core Facility, Institute for Cancer Research, Oslo University Hospital and Department of Informatics, University of Oslo, Oslo, Norway
| | - Sarah T Pendlebury
- Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, NIHR Oxford Biomedical Research Centre, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Mona K Beyer
- Department of Radiology and Nuclear Medicine and Institute of Clinical Medicine, University of Oslo, Oslo University Hospital, Oslo, Norway
| | - Torgeir Bruun Wyller
- Department of Geriatric Medicine, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Hege Ihle-Hansen
- Department of Internal Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Oslo, Norway.,Department of Geriatric Medicine, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Karayiannis C, Moran C, Sharman JE, Beare R, Quinn SJ, Phan TG, Wood AG, Thrift AG, Wang WC, Srikanth V. Blood Pressure, Aortic Stiffness, Hemodynamics, and Cognition in Twin Pairs Discordant for Type 2 Diabetes. J Alzheimers Dis 2019; 71:763-773. [DOI: 10.3233/jad-190319] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Christopher Karayiannis
- Department of Medicine, Peninsula Health and Monash University, Melbourne, Australia
- Stroke and Ageing Research Centre, Medicine, School of Clinical Sciences, Monash Medical Centre, Monash University, Melbourne, Australia
| | - Chris Moran
- Department of Medicine, Peninsula Health and Monash University, Melbourne, Australia
- Stroke and Ageing Research Centre, Medicine, School of Clinical Sciences, Monash Medical Centre, Monash University, Melbourne, Australia
- Alfred Health, Melbourne, Australia
| | - James E. Sharman
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Richard Beare
- Department of Medicine, Peninsula Health and Monash University, Melbourne, Australia
- Stroke and Ageing Research Centre, Medicine, School of Clinical Sciences, Monash Medical Centre, Monash University, Melbourne, Australia
| | - Stephen J. Quinn
- Department of Statistics, Data Science and Epidemiology, Swinburne University of Technology, Melbourne, Australia
| | - Thanh G. Phan
- Stroke and Ageing Research Centre, Medicine, School of Clinical Sciences, Monash Medical Centre, Monash University, Melbourne, Australia
| | - Amanda G. Wood
- Clinical Sciences, Murdoch Children’s Research Institute, Melbourne, Australia
- Life and Health Sciences, Aston University, Birmingham, United Kingdom
| | - Amanda G. Thrift
- Stroke and Ageing Research Centre, Medicine, School of Clinical Sciences, Monash Medical Centre, Monash University, Melbourne, Australia
| | - Wei C. Wang
- Department of Medicine, Peninsula Health and Monash University, Melbourne, Australia
| | - Velandai Srikanth
- Department of Medicine, Peninsula Health and Monash University, Melbourne, Australia
- Stroke and Ageing Research Centre, Medicine, School of Clinical Sciences, Monash Medical Centre, Monash University, Melbourne, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
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Rohde D, Gaynor E, Large M, Mellon L, Hall P, Brewer L, Bennett K, Williams D, Dolan E, Callaly E, Hickey A. The Impact of Cognitive Impairment on Poststroke Outcomes: A 5-Year Follow-Up. J Geriatr Psychiatry Neurol 2019; 32:275-281. [PMID: 31167593 DOI: 10.1177/0891988719853044] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
AIM To explore the impact of cognitive impairment poststroke on outcomes at 5 years. METHODS Five-year follow-up of the Action on Secondary Prevention Interventions and Rehabilitation in Stroke (ASPIRE-S) prospective cohort. Two hundred twenty-six ischemic stroke survivors completed Montreal Cognitive Assessments at 6 months poststroke. Outcomes at 5 years included independence in activities of daily living, receipt of informal care, quality of life, and depressive symptoms. Data were analyzed using logistic and linear regression models. Adjusted odds ratios (ORs; 95% confidence interval [CI]) and β coefficients (95% CI) are reported. RESULTS One hundred one stroke survivors were followed up at 5 years. Cognitive impairment at 6 months was independently associated with worse quality of life (B [95% CI]: -0.595 [-0.943 to -0.248]), lower levels of independence (B [95% CI]: -3.605 [-5.705 to -1.505]), increased likelihood of receiving informal care (OR [95% CI]: 6.41 [1.50-27.32]), and increased likelihood of depressive symptoms (OR [95% CI]: 4.60 [1.22-17.40]). Conclusion: Cognitive impairment poststroke is associated with a range of worse outcomes. More effective interventions are needed to improve outcomes for this vulnerable group of patients.
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Affiliation(s)
| | - Eva Gaynor
- 2 Department of Medicine, RCSI, Dublin, Ireland
| | - Margaret Large
- 3 Clinical Research Centre, Beaumont Hospital, Dublin, Ireland
| | - Lisa Mellon
- 1 Population Health Sciences, RCSI, Dublin, Ireland
| | - Patricia Hall
- 3 Clinical Research Centre, Beaumont Hospital, Dublin, Ireland
| | - Linda Brewer
- 4 Geriatric and Stroke Medicine, RCSI and Beaumont Hospital, Dublin, Ireland
| | | | - David Williams
- 4 Geriatric and Stroke Medicine, RCSI and Beaumont Hospital, Dublin, Ireland
| | - Eamon Dolan
- 5 Geriatric Medicine, Connolly Hospital Blanchardstown, Dublin, Ireland
| | - Elizabeth Callaly
- 6 Geriatric Medicine, Mater Misericordiae University Hospital, Dublin, Ireland
| | - Anne Hickey
- 1 Population Health Sciences, RCSI, Dublin, Ireland
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19
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Zheng F, Yan L, Zhong B, Yang Z, Xie W. Progression of cognitive decline before and after incident stroke. Neurology 2019; 93:e20-e28. [PMID: 31127071 DOI: 10.1212/wnl.0000000000007716] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 02/13/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine the trajectory of cognitive decline before and after incident stroke. METHODS By using data from the English Longitudinal Study of Ageing, we studied 9,278 participants without dementia with no history of stroke who underwent cognitive assessment at baseline (wave 1) and at least 1 other time point (waves 2-7). We used linear mixed models to analyze repeated measures and longitudinal data. RESULTS Among the 9,278 participants (56.8% women, mean age 63.1 ± 10.3 years), 471 (5.1%) incident stroke events were identified. Compared with stroke-free participants, multivariable-adjusted rates of prestroke cognitive decline in global cognition, memory, semantic fluency, and temporal orientation of participants who later experienced an incident stroke were increased by -0.029 , -0.016, -0.022, and -0.024 SD/y, respectively. Among the 471 stroke survivors, the multivariable-adjusted acute changes in the 4 cognitive domains were -0.257, -0.150, -0.121, and -0.272 SD, respectively. In the years after stroke, global cognition declined over time and was steeper than its prestroke slope, that is, by -0.064 SD/y after multivariable adjustment. The rates of memory, semantic fluency, and temporal orientation decline were -0.046, -0.033, and -0.037 SD/y, respectively. CONCLUSIONS Accelerated prestroke cognitive decline and poststroke cognitive decline were associated with incident stroke over a follow-up period of 12 years. Attention should be paid to the long-term cognitive problems of stroke survivors, and intervention and management of major vascular risk factors should start from early life or midlife to reduce the risk of cerebrovascular disease and the associated cognitive impairment.
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Affiliation(s)
- Fanfan Zheng
- From the Brainnetome Center (F.Z.), Institute of Automation, Chinese Academy of Sciences, Beijing, China; Institute of Cognitive Neuroscience (F.Z.), University College London; Department of Epidemiology and Biostatistics (L.Y., Z.Y., W.X.), School of Public Health, Imperial College London, UK; Department of Geriatric Psychiatry (B.Z.), Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan; and Peking University Clinical Research Institute (W.X.), Peking University Health Science Center, Beijing, China
| | - Li Yan
- From the Brainnetome Center (F.Z.), Institute of Automation, Chinese Academy of Sciences, Beijing, China; Institute of Cognitive Neuroscience (F.Z.), University College London; Department of Epidemiology and Biostatistics (L.Y., Z.Y., W.X.), School of Public Health, Imperial College London, UK; Department of Geriatric Psychiatry (B.Z.), Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan; and Peking University Clinical Research Institute (W.X.), Peking University Health Science Center, Beijing, China
| | - Baoliang Zhong
- From the Brainnetome Center (F.Z.), Institute of Automation, Chinese Academy of Sciences, Beijing, China; Institute of Cognitive Neuroscience (F.Z.), University College London; Department of Epidemiology and Biostatistics (L.Y., Z.Y., W.X.), School of Public Health, Imperial College London, UK; Department of Geriatric Psychiatry (B.Z.), Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan; and Peking University Clinical Research Institute (W.X.), Peking University Health Science Center, Beijing, China
| | - Zhenchun Yang
- From the Brainnetome Center (F.Z.), Institute of Automation, Chinese Academy of Sciences, Beijing, China; Institute of Cognitive Neuroscience (F.Z.), University College London; Department of Epidemiology and Biostatistics (L.Y., Z.Y., W.X.), School of Public Health, Imperial College London, UK; Department of Geriatric Psychiatry (B.Z.), Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan; and Peking University Clinical Research Institute (W.X.), Peking University Health Science Center, Beijing, China
| | - Wuxiang Xie
- From the Brainnetome Center (F.Z.), Institute of Automation, Chinese Academy of Sciences, Beijing, China; Institute of Cognitive Neuroscience (F.Z.), University College London; Department of Epidemiology and Biostatistics (L.Y., Z.Y., W.X.), School of Public Health, Imperial College London, UK; Department of Geriatric Psychiatry (B.Z.), Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan; and Peking University Clinical Research Institute (W.X.), Peking University Health Science Center, Beijing, China.
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20
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Kuźma E, Lourida I, Moore SF, Levine DA, Ukoumunne OC, Llewellyn DJ. Stroke and dementia risk: A systematic review and meta-analysis. Alzheimers Dement 2018; 14:1416-1426. [PMID: 30177276 PMCID: PMC6231970 DOI: 10.1016/j.jalz.2018.06.3061] [Citation(s) in RCA: 222] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 06/22/2018] [Accepted: 06/28/2018] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Stroke is an established risk factor for all-cause dementia, though meta-analyses are needed to quantify this risk. METHODS We searched Medline, PsycINFO, and Embase for studies assessing prevalent or incident stroke versus a no-stroke comparison group and the risk of all-cause dementia. Random effects meta-analysis was used to pool adjusted estimates across studies, and meta-regression was used to investigate potential effect modifiers. RESULTS We identified 36 studies of prevalent stroke (1.9 million participants) and 12 studies of incident stroke (1.3 million participants). For prevalent stroke, the pooled hazard ratio for all-cause dementia was 1.69 (95% confidence interval: 1.49-1.92; P < .00001; I2 = 87%). For incident stroke, the pooled risk ratio was 2.18 (95% confidence interval: 1.90-2.50; P < .00001; I2 = 88%). Study characteristics did not modify these associations, with the exception of sex which explained 50.2% of between-study heterogeneity for prevalent stroke. DISCUSSION Stroke is a strong, independent, and potentially modifiable risk factor for all-cause dementia.
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Affiliation(s)
- Elżbieta Kuźma
- University of Exeter Medical School, St Luke's Campus, Exeter, UK
| | - Ilianna Lourida
- University of Exeter Medical School, St Luke's Campus, Exeter, UK
| | - Sarah F Moore
- University of Exeter Medical School, St Luke's Campus, Exeter, UK
| | - Deborah A Levine
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Department of Neurology and Stroke Program, University of Michigan, Ann Arbor, MI, USA
| | - Obioha C Ukoumunne
- NIHR CLAHRC South West Peninsula (PenCLAHRC), University of Exeter Medical School, St Luke's Campus, Exeter, UK
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21
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Guo X, Östling S, Kern S, Johansson L, Skoog I. Increased risk for dementia both before and after stroke: A population-based study in women followed over 44 years. Alzheimers Dement 2018; 14:1253-1260. [PMID: 29936145 DOI: 10.1016/j.jalz.2018.05.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Revised: 04/20/2018] [Accepted: 05/03/2018] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Longitudinal studies are needed to understand the long-term associations between stroke and dementia. METHODS A population sample of 1460 women without stroke or dementia at baseline was followed over 44 years, from 1968 to 2012. Information on stroke and dementia was obtained from neuropsychiatric examinations, key-informant interviews, hospital registry, and medical records. RESULTS During 44 years follow-up, 362 women developed stroke and 325, dementia. The age-specific incidence of the two disorders was similar. The incidence of dementia was higher in those with stroke than among those without (33.7% vs. 18.5%; age-adjusted hazard ratio 1.44, 95% confidence interval 1.15-1.81). The increased risk of dementia started already 5 years before stroke, was highest 1 year after stroke, and continued more than 11 years after stroke. DISCUSSION There is an increased risk for dementia both before and after stroke. This has implications for understanding the relation between the two disorders and for prevention of dementia and stroke.
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Affiliation(s)
- Xinxin Guo
- Neuropsychiatric Epidemiology Unit, Section for Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
| | - Svante Östling
- Neuropsychiatric Epidemiology Unit, Section for Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Section for Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Lena Johansson
- Neuropsychiatric Epidemiology Unit, Section for Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Section for Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
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22
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Lin R, Lang M, Heinsinger N, Stricsek G, Zhang J, Iozzo R, Rosenwasser R, Iacovitti L. Stepwise impairment of neural stem cell proliferation and neurogenesis concomitant with disruption of blood-brain barrier in recurrent ischemic stroke. Neurobiol Dis 2018; 115:49-58. [PMID: 29605425 DOI: 10.1016/j.nbd.2018.03.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 03/12/2018] [Accepted: 03/28/2018] [Indexed: 01/15/2023] Open
Abstract
Stroke patients are at increased risk for recurrent stroke and development of post-stroke dementia. In this study, we investigated the effects of recurrent stroke on adult brain neurogenesis using a novel rat model of recurrent middle cerebral artery occlusion (MCAO) developed in our laboratory. Using BrdU incorporation, activation and depletion of stem cells in the subgranular zone (SGZ) and subventricular zone (SVZ) were assessed in control rats and rats after one or two strokes. In vitro neurosphere assay was used to assess the effects of plasma from normal and stroke rats. Also, EM and permeability studies were used to evaluate changes in the blood-brain-barrier (BBB) of the SGZ after recurrent stroke. We found that proliferation and neurogenesis was activated 14 days after MCAO. This was correlated with increased permeability in the BBB to factors which increase proliferation in a neurosphere assay. However, with each stroke, there was a stepwise decrease of proliferating stem cells and impaired neurogenesis on the ipsilateral side. On the contralateral side, this process stabilized after a first stroke. These studies indicate that stem cells are activated after MCAO, possibly after increased access to systemic stroke-related factors through a leaky BBB. However, the recruitment of stem cells for neurogenesis after stroke results in a stepwise ipsilateral decline with each ischemic event, which could contribute to post-stroke dementia.
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Affiliation(s)
- Ruihe Lin
- Department of Neuroscience, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; The Joseph and Marie Field Cerebrovascular Research Laboratory, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; Vickie & Jack Farber Institute for Neuroscience, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Michael Lang
- Department of Neurological Surgery, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; The Joseph and Marie Field Cerebrovascular Research Laboratory, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; Vickie & Jack Farber Institute for Neuroscience, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Nicolette Heinsinger
- Department of Neuroscience, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; Vickie & Jack Farber Institute for Neuroscience, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Geoffrey Stricsek
- Department of Neurological Surgery, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; The Joseph and Marie Field Cerebrovascular Research Laboratory, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; Vickie & Jack Farber Institute for Neuroscience, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Justine Zhang
- Department of Neuroscience, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Renato Iozzo
- Department of Pathology, Anatomy, & Cell Biology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Robert Rosenwasser
- Department of Neurological Surgery, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; The Joseph and Marie Field Cerebrovascular Research Laboratory, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; Vickie & Jack Farber Institute for Neuroscience, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Lorraine Iacovitti
- Department of Neuroscience, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; The Joseph and Marie Field Cerebrovascular Research Laboratory, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; Vickie & Jack Farber Institute for Neuroscience, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA.
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23
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Guo J, Su W, Fang J, Chen N, Zhou M, Zhang Y, He L. Elevated CRP at admission predicts post-stroke cognitive impairment in Han Chinese patients with intracranial arterial stenosis. Neurol Res 2018; 40:292-296. [PMID: 29451096 DOI: 10.1080/01616412.2018.1438224] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVES Elevated C-reactive protein (CRP) levels have been associated with cognitive deficits in certain patient populations, but whether this is also true of ischemic stroke patients is controversial. This study aims to examine the possible association between CRP concentration and post-stroke cognitive impairment (PSCI) in Han Chinese patients and to determine whether this association depends on intracranial arterial stenosis (ICAS). METHODS Patients with mild or moderate stroke admitted to a large regional medical center in Western China were consecutively enrolled in our study. Serum levels of CRP and ICAS severity were assessed at admission and cognitive status was assessed 6 months after stroke using the Six-Item Screener. RESULTS Of the 1116 patients included in our study, no association was observed between CRP levels at admission and cognitive performance at 6 months. However, among the subgroup of 311 patients with ICAS, a significant association did exist, and it persisted even after adjusting for potential confounders (OR 1.038, 95% CI 1.015-1.061). We did not find the same association in the subgroup of the patients without ICAS. CONCLUSIONS To our knowledge, this is the first study to explore the effects of CRP on PSCI in Han Chinese with ICAS. Our findings indicate that higher CRP levels at admission are associated with subsequent cognitive decline in Han Chinese patients with ICAS following ischemic stroke. Further studies in other ethnic groups are needed to validate the use of CRP to predict dementia in ICAS patients.
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Affiliation(s)
- Jian Guo
- a Department of Neurology , West China Hospital of Sichuan University , Chengdu , PR China
| | - Wei Su
- a Department of Neurology , West China Hospital of Sichuan University , Chengdu , PR China
| | - Jinhuan Fang
- a Department of Neurology , West China Hospital of Sichuan University , Chengdu , PR China
| | - Ning Chen
- a Department of Neurology , West China Hospital of Sichuan University , Chengdu , PR China
| | - Muke Zhou
- a Department of Neurology , West China Hospital of Sichuan University , Chengdu , PR China
| | - Yang Zhang
- a Department of Neurology , West China Hospital of Sichuan University , Chengdu , PR China
| | - Li He
- a Department of Neurology , West China Hospital of Sichuan University , Chengdu , PR China
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24
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Adapting the concepts of brain and cognitive reserve to post-stroke cognitive deficits: Implications for understanding neglect. Cortex 2017; 97:327-338. [DOI: 10.1016/j.cortex.2016.12.006] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2016] [Revised: 08/03/2016] [Accepted: 12/04/2016] [Indexed: 01/17/2023]
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25
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Chander RJ, Lam BYK, Lin X, Ng AYT, Wong APL, Mok VCT, Kandiah N. Development and validation of a risk score (CHANGE) for cognitive impairment after ischemic stroke. Sci Rep 2017; 7:12441. [PMID: 28963553 PMCID: PMC5622067 DOI: 10.1038/s41598-017-12755-z] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 09/14/2017] [Indexed: 01/12/2023] Open
Abstract
Post-stroke cognitive impairment (PSCI) warrants early detection and management. We sought to develop a risk score for screening patients at bedside for risk of delayed PSCI. Ischemic stroke survivors with PSCI and no cognitive impairments (NCI) 3-6 months post-stroke were studied to identify candidate variables predictive of PSCI. These variables were used to develop a risk score using regression models. The score, and the best identified clinical cutoff point, underwent development, stability testing, and internal and external validation in three independent cohorts from Singapore and Hong Kong. Across 1,088 subjects, the risk score, dubbed CHANGE, had areas under the receiver operating characteristics curve (AUROC) from 0.74 to 0.82 in detecting significant risk for PSCI, and had predicted values following actual prevalence. In validation data 3-6 and 12-18 months post-stroke, subjects with low, medium, and high scores had PSCI prevalence of 7-23%, 25-58%, and 67-82%. CHANGE was effective in screening ischemic stroke survivors for significant risk of developing PSCI up to 18 months post-stroke. CHANGE used readily available and reliable clinical data, and may be useful in identifying at-risk patients for PSCI.
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Affiliation(s)
- Russell J Chander
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Bonnie Y K Lam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F., Lui Che Woo Clinical Sciences Building, Prince of Wales Hospital, Shatin, N.T., Hong Kong
| | - Xuling Lin
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Aloysius Y T Ng
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Adrian P L Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F., Lui Che Woo Clinical Sciences Building, Prince of Wales Hospital, Shatin, N.T., Hong Kong
| | - Vincent C T Mok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F., Lui Che Woo Clinical Sciences Building, Prince of Wales Hospital, Shatin, N.T., Hong Kong
| | - Nagaendran Kandiah
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore.
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
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Moran C, Beare R, Phan T, Starkstein S, Bruce D, Romina M, Srikanth V. Neuroimaging and its Relevance to Understanding Pathways Linking Diabetes and Cognitive Dysfunction. J Alzheimers Dis 2017; 59:405-419. [DOI: 10.3233/jad-161166] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Chris Moran
- Department of Medicine, Peninsula Health, Peninsula Clinical School, Monash University, Melbourne, VIC, Australia
- Aged Care Services, Caulfield Hospital, Alfred Health, Melbourne, VIC, Australia
- Stroke and Ageing Research Group, Vascular Brain Ageing Division, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
- Neurosciences, Monash Medical Centre, Monash Health, Melbourne, VIC, Australia
| | - Richard Beare
- Department of Medicine, Peninsula Health, Peninsula Clinical School, Monash University, Melbourne, VIC, Australia
- Stroke and Ageing Research Group, Vascular Brain Ageing Division, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
- Neurosciences, Monash Medical Centre, Monash Health, Melbourne, VIC, Australia
| | - Thanh Phan
- Stroke and Ageing Research Group, Vascular Brain Ageing Division, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
- Neurosciences, Monash Medical Centre, Monash Health, Melbourne, VIC, Australia
| | - Sergio Starkstein
- Fremantle Hospital, WA, Australia
- University of Western Australia, WA, Australia
| | - David Bruce
- Fremantle Hospital, WA, Australia
- University of Western Australia, WA, Australia
| | - Mizrahi Romina
- Research Imaging Centre, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Velandai Srikanth
- Department of Medicine, Peninsula Health, Peninsula Clinical School, Monash University, Melbourne, VIC, Australia
- Stroke and Ageing Research Group, Vascular Brain Ageing Division, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
- Neurosciences, Monash Medical Centre, Monash Health, Melbourne, VIC, Australia
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Abstract
Cerebrovascular disease (CVD) is the second leading cause of cognitive impairment in late life. Structural neuroimaging offers the most sensitive and specific biomarkers for hemorrhages and infarcts, but there are significant limitations in its ability to detect microvascular disease, microinfarcts, dynamic changes in the blood-brain barrier, and preclinical cerebrovascular disease. Autopsy studies disclose the common co-occurrence of vascular and neurodegenerative conditions, suggesting that in late life, a multifactorial approach to cognitive impairment may be more appropriate than traditional dichotomous classifications. Management of vascular risk factors remains a proven and practical approach to reducing acute and progressive cognitive impairment and dementia.
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Affiliation(s)
- Helena C Chui
- Department of Neurology, University of Southern California, 1540 Alcazar Street, CHP215, Los Angeles, CA 90033, USA.
| | - Liliana Ramirez Gomez
- Department of Neurology, University of California San Francisco, 400 Parnassus Avenue, A871, San Francisco, CA 94143, USA
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Abstract
Incident stroke has long been recognized to cause dementia shortly after the event. Patients who survive stroke without early-onset poststroke dementia (PSD) are at a high risk of developing dementia months to years after the initial stroke incident, which has generated enthusiasm for exploring treatments to prevent delayed-onset PSD in survivors of stroke. However, results from clinical trials completed in the past 10-15 years have been disappointing. In light of these results, the present Review revisits the mechanisms of both early-onset and delayed-onset PSD and proposes preventive strategies and directions for future clinical trials. Early-onset PSD results from a complex interplay between stroke lesion features and brain resilience, whereas delayed-onset PSD is associated mainly with the presence of severe sporadic small vessel disease (SVD), and to a lesser extent with Alzheimer disease pathology or recurrent stroke. As well as preventing stroke and delivering acute stroke treatments to reduce initial brain damage, measures to increase brain resilience could also reduce the risk of developing dementia if an incident stroke occurs. Future efforts to prevent delayed-onset PSD should focus on the study of sporadic SVD and on evaluating whether other strategies, in addition to conventional secondary stroke prevention, are effective in dementia prevention in this high-risk group.
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Sachdev PS, Lo JW, Crawford JD, Mellon L, Hickey A, Williams D, Bordet R, Mendyk AM, Gelé P, Deplanque D, Bae HJ, Lim JS, Brodtmann A, Werden E, Cumming T, Köhler S, Verhey FRJ, Dong YH, Tan HH, Chen C, Xin X, Kalaria RN, Allan LM, Akinyemi RO, Ogunniyi A, Klimkowicz-Mrowiec A, Dichgans M, Wollenweber FA, Zietemann V, Hoffmann M, Desmond DW, Linden T, Blomstrand C, Fagerberg B, Skoog I, Godefroy O, Barbay M, Roussel M, Lee BC, Yu KH, Wardlaw J, Makin SJ, Doubal FN, Chappell FM, Srikanth VK, Thrift AG, Donnan GA, Kandiah N, Chander RJ, Lin X, Cordonnier C, Moulin S, Rossi C, Sabayan B, Stott DJ, Jukema JW, Melkas S, Jokinen H, Erkinjuntti T, Mok VCT, Wong A, Lam BYK, Leys D, Hénon H, Bombois S, Lipnicki DM, Kochan NA. STROKOG (stroke and cognition consortium): An international consortium to examine the epidemiology, diagnosis, and treatment of neurocognitive disorders in relation to cerebrovascular disease. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2016; 7:11-23. [PMID: 28138511 PMCID: PMC5257024 DOI: 10.1016/j.dadm.2016.10.006] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
INTRODUCTION The Stroke and Cognition consortium (STROKOG) aims to facilitate a better understanding of the determinants of vascular contributions to cognitive disorders and help improve the diagnosis and treatment of vascular cognitive disorders (VCD). METHODS Longitudinal studies with ≥75 participants who had suffered or were at risk of stroke or TIA and which evaluated cognitive function were invited to join STROKOG. The consortium will facilitate projects investigating rates and patterns of cognitive decline, risk factors for VCD, and biomarkers of vascular dementia. RESULTS Currently, STROKOG includes 25 (21 published) studies, with 12,092 participants from five continents. The duration of follow-up ranges from 3 months to 21 years. DISCUSSION Although data harmonization will be a key challenge, STROKOG is in a unique position to reuse and combine international cohort data and fully explore patient level characteristics and outcomes. STROKOG could potentially transform our understanding of VCD and have a worldwide impact on promoting better vascular cognitive outcomes.
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Affiliation(s)
- Perminder S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, Australia; Dementia Collaborative Research Centre, University of New South Wales, Sydney, Australia
| | - Jessica W Lo
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, Australia
| | - John D Crawford
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, Australia
| | - Lisa Mellon
- Department of Psychology, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Anne Hickey
- Department of Psychology, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - David Williams
- Department of Stroke and Geriatric Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Régis Bordet
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative & Vascular Cognitive Disorders, Lille, France
| | - Anne-Marie Mendyk
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative & Vascular Cognitive Disorders, Lille, France
| | - Patrick Gelé
- University of Lille, Inserm, CHU Lille, CIC 1403 - Centre d'investigation clinique, Lille, France
| | - Dominique Deplanque
- University of Lille, Inserm, CHU Lille, CIC 1403 - Centre d'investigation clinique, Lille, France
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea; Clinical Neuroscience Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Jae-Sung Lim
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Amy Brodtmann
- Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Emilio Werden
- Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Toby Cumming
- Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Sebastian Köhler
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Frans R J Verhey
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Yan-Hong Dong
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, Australia; Dementia Collaborative Research Centre, University of New South Wales, Sydney, Australia; Memory Ageing and Cognition Center, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Medicine (Neurology Division), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Hui Hui Tan
- Memory Ageing and Cognition Center, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Medicine (Neurology Division), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Christopher Chen
- Memory Ageing and Cognition Center, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Xu Xin
- Memory Ageing and Cognition Center, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Raj N Kalaria
- Neurovascular Research Group, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Louise M Allan
- Neurovascular Research Group, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Rufus O Akinyemi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adesola Ogunniyi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training College of Medicine, University of Ibadan, Ibadan, Nigeria; Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | | | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Frank A Wollenweber
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University, Munich, Germany
| | - Vera Zietemann
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University, Munich, Germany
| | - Michael Hoffmann
- Cognitive Neurology and Stroke Programs, University of Central Florida, Orlando VA Medical Center, Orlando, Florida, USA
| | | | - Thomas Linden
- Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia; Institute of Neuroscience and Physiology, Centre of Brain Research and Rehabilitation, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Christian Blomstrand
- Institute of Neuroscience and Physiology, Centre of Brain Research and Rehabilitation, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Björn Fagerberg
- Department of Molecular and Clinical Medicine, Wallenberg Laboratory for Cardiovascular and Metabolic Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Ingmar Skoog
- Institute of Neuroscience and Physiology, Center for Health and Ageing AGECAP, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Olivier Godefroy
- Department of Neurology and Laboratory of Functional Neurosciences, University Hospital of Amiens, France
| | - Mélanie Barbay
- Department of Neurology and Laboratory of Functional Neurosciences, University Hospital of Amiens, France
| | - Martine Roussel
- Department of Neurology and Laboratory of Functional Neurosciences, University Hospital of Amiens, France
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Joanna Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Stephen J Makin
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow Royal Infirmary, Glasgow, UK
| | - Fergus N Doubal
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Velandai K Srikanth
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Australia; Menzies Institute for Medical Research, University of Tasmania, Tasmania, Australia
| | - Amanda G Thrift
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea; Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Australia
| | - Geoffrey A Donnan
- Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | | | | | - Xuling Lin
- Department of Neurology, National Neuroscience Institute, Singapore
| | - Charlotte Cordonnier
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative & Vascular Cognitive Disorders, Lille, France
| | - Solene Moulin
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative & Vascular Cognitive Disorders, Lille, France
| | - Costanza Rossi
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative & Vascular Cognitive Disorders, Lille, France
| | - Behnam Sabayan
- Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, the Netherlands
| | - David J Stott
- Academic Section of Geriatrics, University of Glasgow, Glasgow, United Kingdom
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Susanna Melkas
- Clinical Neurosciences, Neurology, University of Helsinki and Helsinki University Hospital, Finland
| | - Hanna Jokinen
- Clinical Neurosciences, Neurology, University of Helsinki and Helsinki University Hospital, Finland
| | - Timo Erkinjuntti
- Clinical Neurosciences, Neurology, University of Helsinki and Helsinki University Hospital, Finland
| | - Vincent C T Mok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Adrian Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Bonnie Y K Lam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Didier Leys
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative & Vascular Cognitive Disorders, Lille, France
| | - Hilde Hénon
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative & Vascular Cognitive Disorders, Lille, France
| | - Stéphanie Bombois
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative & Vascular Cognitive Disorders, Lille, France
| | - Darren M Lipnicki
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, Australia
| | - Nicole A Kochan
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, Australia
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Gao CY, Lian Y, Zhang M, Zhang LL, Fang CQ, Deng J, Li J, Xu ZQ, Zhou HD, Wang YJ. Association of dementia with death after ischemic stroke: A two-year prospective study. Exp Ther Med 2016; 12:1765-1769. [PMID: 27588095 PMCID: PMC4998104 DOI: 10.3892/etm.2016.3538] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Accepted: 07/22/2016] [Indexed: 12/27/2022] Open
Abstract
The association between dementia and the risk of death after ischemic stroke was investigated. Neurological, neuropsychological and functional assessments were evaluated in 619 patients with acute ischemic stroke. Dementia was diagnosed at admission and at three months after stroke onset. The patients were scheduled for a two-year follow-up after the index stroke. The Kaplan-Meier survival and Cox proportional hazards regression analyses were used to estimate the cumulative proportion of survival, and the association between dementia and risk of death after stroke. In total, 146 patients (23.6%) were diagnosed with dementia after stroke. The cumulative proportion of surviving cases was 49.3% in patients with dementia after a median follow-up of 21.2±5.6 months, and 92.5% in patients without dementia. Multivariate analysis revealed that dementia (HR, 7.21; 95% CI, 3.85–13.49) was associated with death, independent of age, atrial fibrillation, previous stroke and NIH stroke scale. In conclusion, the mortality rate is increased in stroke patients with dementia. Dementia is an important risk factor for death after stroke, independent of age, atrial fibrillation, previous stroke, and the severity of the stroke.
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Affiliation(s)
- Chang-Yue Gao
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, The Third Military Medical University, Chongqing 400042, P.R. China
| | - Yan Lian
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, The Third Military Medical University, Chongqing 400042, P.R. China
| | - Meng Zhang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, The Third Military Medical University, Chongqing 400042, P.R. China
| | - Li-Li Zhang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, The Third Military Medical University, Chongqing 400042, P.R. China
| | - Chuan-Qing Fang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, The Third Military Medical University, Chongqing 400042, P.R. China
| | - Juan Deng
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, The Third Military Medical University, Chongqing 400042, P.R. China
| | - Jing Li
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, The Third Military Medical University, Chongqing 400042, P.R. China
| | - Zhi-Qiang Xu
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, The Third Military Medical University, Chongqing 400042, P.R. China
| | - Hua-Dong Zhou
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, The Third Military Medical University, Chongqing 400042, P.R. China
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, The Third Military Medical University, Chongqing 400042, P.R. China
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Mok VCT, Lam BYK, Wang Z, Liu W, Au L, Leung EYL, Chen S, Yang J, Chu WCW, Lau AYL, Chan AYY, Shi L, Fan F, Ma SH, Ip V, Soo YOY, Leung TWH, Kwok TCY, Ho CL, Wong LKS, Wong A. Delayed-onset dementia after stroke or transient ischemic attack. Alzheimers Dement 2016; 12:1167-1176. [PMID: 27327542 DOI: 10.1016/j.jalz.2016.05.007] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Revised: 05/11/2016] [Accepted: 05/22/2016] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Patients surviving stroke without immediate dementia are at high risk of delayed-onset dementia. Mechanisms underlying delayed-onset dementia are complex and may involve vascular and/or neurodegenerative diseases. METHODS Dementia-free patients with stroke and/or transient ischemic attack (TIA; n = 919) were studied for 3 years prospectively, excluding those who developed dementia 3 to 6 months after stroke and/or TIA. RESULTS Forty subjects (4.4%) developed dementia during the study period. Imaging markers of severe small vessel disease (SVD), namely presence of ≥3 lacunes and confluent white matter changes; history of hypertension and diabetes mellitus independently predicted delayed-onset dementia after adjustment for age, gender, and education. Only 6 of 31 (19.4%) subjects with delayed cognitive decline harbored Alzheimer's disease-like Pittsburg compound B (PiB) retention. Most PiB cases (16/25, 64%) had evidence of severe SVD. DISCUSSION Severe SVD contributes importantly to delayed-onset dementia after stroke and/or TIA. Future clinical trials aiming to prevent delayed-onset dementia after stroke and/or TIA should target this high-risk group.
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Affiliation(s)
- Vincent C T Mok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Bonnie Y K Lam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China
| | - Zhaolu Wang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wenyan Liu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Lisa Au
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Eric Y L Leung
- Department of Nuclear Medicine, Hong Kong Sanatorium and Hospital, Hong Kong SAR, China
| | - Sirong Chen
- Department of Nuclear Medicine, Hong Kong Sanatorium and Hospital, Hong Kong SAR, China
| | - Jie Yang
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and Ministry of Education of China, Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Winnie C W Chu
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Alexander Y L Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anne Y Y Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Lin Shi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Florence Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Sze H Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent Ip
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yannie O Y Soo
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Thomas W H Leung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Timothy C Y Kwok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Chi L Ho
- Department of Nuclear Medicine, Hong Kong Sanatorium and Hospital, Hong Kong SAR, China
| | - Lawrence K S Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Adrian Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Hong Kong SAR, China.
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Paquin K, Crawley J, Harris JE, Horton S. Survivors of chronic stroke – participant evaluations of commercial gaming for rehabilitation. Disabil Rehabil 2016; 38:2144-52. [DOI: 10.3109/09638288.2015.1114155] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Zhai Y, Chao Q, Li H, Wang B, Xu R, Wang N, Han Y, He X, Jia X, Wang X. Application and Revision of Montreal Cognitive Assessment in China's Military Retirees with Mild Cognitive Impairment. PLoS One 2016; 11:e0145547. [PMID: 26727602 PMCID: PMC4699698 DOI: 10.1371/journal.pone.0145547] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2015] [Accepted: 12/04/2015] [Indexed: 11/18/2022] Open
Abstract
Objective In an effort to accommodate MOCA to better fit for the Chinese context, this study was designed to employ the MOCA criteria to screen mild cognitive impairment (MCI) and analyze associated risk factors in military retirees. Methods Three hundred and four retired military cadres were recruited using a random cluster sampling technique with information collected including personal, prevalence, MOCA scale, and related neuropsychiatry scale. Thirty retirees were randomly chosen to be further analyzed one month later using the revised MOCA scale. Results ①Our data indicated an incidence rate of 64.8% for mild cognitive impairment in retired military cadres. The incidence rate for MCI was significantly higher in those aged 80 or above compared with those 80 years of age or younger (P<0.05). The incidence rate of MCI was significantly higher in those with fewer than 6 years of education compared with those with over 7 years of education (P<0.05). The MCI incidence was higher for those with little exercise than those taking regular exercise (P<0.01). Moreover, the MCI incidence was higher in stroke patients than those who never had a stroke episode (P<0.05). ②There was a significant correlation between MOCA and MMSE scale scores (r = 0.81). MOCA scale scores were negatively correlated with ADL and CES-D scores (although not PSQI scores). ③ MOCA recension Cronbach’s alpha value was 0.862. The related coefficient of MOCA and MOCA recension was 0.878(P<0.01). When the Score of cut-off -point of the MOCA recension was 28, the area in ROC curve analyses was 0.859, as well as the largest area. Conclusion Retired cadres exhibited a greater incidence of MCI (than general population), which was closely associated with age, level of education and physical exercise and cerebral apoplexy. Revised MOCA scale displays a better validity and reaction degree of reliability and is more suitable for screening and diagnosis of MCI in the elderly in China.
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Affiliation(s)
- Yali Zhai
- Department of Geriatrics, Xijing Hospital, Fourth Military Medical University. Xi’an, Shaanxi, China
| | - Qiuling Chao
- Department of Geriatrics, Xijing Hospital, Fourth Military Medical University. Xi’an, Shaanxi, China
- Center for Ageing and Health Research, Xi’an Jiaotong University, Xi’an, Shaanxi, China
- * E-mail: (QLC); (XMW)
| | - Hong Li
- Department of Geriatrics, Xijing Hospital, Fourth Military Medical University. Xi’an, Shaanxi, China
| | - Bo Wang
- Department of Epidemic, Fourth Military Medical University, Xi’an, Shaanxi, China
| | - Rong Xu
- Department of Geriatrics, Xijing Hospital, Fourth Military Medical University. Xi’an, Shaanxi, China
| | - Ning Wang
- Department of Geriatrics, Xijing Hospital, Fourth Military Medical University. Xi’an, Shaanxi, China
| | - Yajun Han
- Department of Geriatrics, Xijing Hospital, Fourth Military Medical University. Xi’an, Shaanxi, China
| | - Xiaole He
- Department of Geriatrics, Xijing Hospital, Fourth Military Medical University. Xi’an, Shaanxi, China
| | - Xin Jia
- Department of Geriatrics, Xijing Hospital, Fourth Military Medical University. Xi’an, Shaanxi, China
| | - Xiaoming Wang
- Department of Geriatrics, Xijing Hospital, Fourth Military Medical University. Xi’an, Shaanxi, China
- * E-mail: (QLC); (XMW)
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Abstract
Dementia is defined as chronic deterioration of intellectual function and cognitive skills significant enough to interfere with the ability to perform daily activities. Recent advances in the treatment of dementia have renewed interest in the use of various neuroimaging techniques that can assist in the diagnosis and differentiation of various subtypes. Neuroimaging and computational techniques have helped the radiological community to monitor disease progression of various neurodegenerative conditions presenting with dementia, such as Alzheimer disease, frontotemporal lobe dementia (FTLD), progressive supranuclear palsy (PSP) and multisystem atrophy-cerebellar variant (MSA-C), and their response to newer therapies. Prompt identification of treatable or reversible forms of dementia, such as tumours, subdural haemorrhage and intracranial dAVF, is crucial for the effective management of these conditions. It is also prudent to recognize the imaging spectrum of metabolic, infective and autoimmune diseases with rapidly progressing dementia, such as methanol toxicity, central pontine myelinolysis (CPM), delayed post hypoxic leukoencephalopathy (DPHL), HIV, Creutzfeldt-Jakob Disease (CJD), Sjogren's syndrome, multiple sclerosis (MS), radiation necrosis and Fragile X-Associated Tremor/Ataxia Syndrome (FXTAS), which are difficult to treat and often require palliative care. This pictorial review emphasizes various non-Alzheimer’s dementia entities and discusses their imaging highlights. Teaching Points • Non Alzheimer’s dementia constitutes a broad spectrum of conditions. • Neuroimaging plays an important role in differentiating treatable from irreversible dementia. • Neuroimaging is often non-specific in early stages of neurodegenerative conditions with dementia. • Neuroimaging plays an important role in the multimodal approach towards management of dementia.
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Levine DA, Galecki AT, Langa KM, Unverzagt FW, Kabeto MU, Giordani B, Wadley VG. Trajectory of Cognitive Decline After Incident Stroke. JAMA 2015; 314:41-51. [PMID: 26151265 PMCID: PMC4655087 DOI: 10.1001/jama.2015.6968] [Citation(s) in RCA: 315] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
IMPORTANCE Cognitive decline is a major cause of disability in stroke survivors. The magnitude of survivors' cognitive changes after stroke is uncertain. OBJECTIVE To measure changes in cognitive function among survivors of incident stroke, controlling for their prestroke cognitive trajectories. DESIGN, SETTING, AND PARTICIPANTS Prospective study of 23,572 participants 45 years or older without baseline cognitive impairment from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort, residing in the continental United States, enrolled 2003-2007 and followed up through March 31, 2013. Over a median follow-up of 6.1 years (interquartile range, 5.0-7.1 years), 515 participants survived expert-adjudicated incident stroke and 23,057 remained stroke free. EXPOSURE Time-dependent incident stroke. MAIN OUTCOMES AND MEASURES The primary outcome was change in global cognition (Six-Item Screener [SIS], range, 0-6). Secondary outcomes were change in new learning (Consortium to Establish a Registry for Alzheimer Disease Word-List Learning; range, 0-30), verbal memory (Word-List Delayed Recall; range, 0-10), and executive function (Animal Fluency Test; range, ≥0), and cognitive impairment (SIS score <5 [impaired] vs ≥5 [unimpaired]). For all tests, higher scores indicate better performance. RESULTS Stroke was associated with acute decline in global cognition (0.10 points [95% CI, 0.04 to 0.17]), new learning (1.80 points [95% CI, 0.73 to 2.86]), and verbal memory (0.60 points [95% CI, 0.13 to 1.07]). Participants with stroke, compared with those without stroke, demonstrated faster declines in global cognition (0.06 points per year faster [95% CI, 0.03 to 0.08]) and executive function (0.63 points per year faster [95% CI, 0.12 to 1.15]), but not in new learning and verbal memory, compared with prestroke slopes. Among survivors, the difference in risk of cognitive impairment acutely after stroke, compared with immediately before stroke, was not statistically significant (odds ratio, 1.32 [95% CI, 0.95 to 1.83]; P = .10); however, there was a significantly faster poststroke rate of incident cognitive impairment compared with the prestroke rate (odds ratio, 1.23 per year [95% CI, 1.10 to 1.38]; P < .001). For a 70-year-old black woman with average values for all covariates at baseline, stroke at year 3 was associated with greater incident cognitive impairment: absolute difference of 4.0% (95% CI, -1.2% to 9.2%) at year 3 and 12.4% (95% CI, 7.7% to 17.1%) at year 6. CONCLUSIONS AND RELEVANCE Incident stroke was associated with an acute decline in cognitive function and also accelerated and persistent cognitive decline over 6 years.
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Affiliation(s)
- Deborah A. Levine
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
- Department of Neurology and Stroke Program, University of Michigan, Ann Arbor, MI
| | - Andrzej T. Galecki
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI
- Department of Biostatistics, University of Michigan, Ann Arbor, MI
| | - Kenneth M. Langa
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
- Institute for Social Research, University of Michigan, Ann Arbor, MI
| | | | - Mohammed U. Kabeto
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI
| | - Bruno Giordani
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI
| | - Virginia G. Wadley
- Department of Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, AL
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Sachdev PS, Lipnicki DM, Crawford JD, Wen W, Brodaty H. Progression of cognitive impairment in stroke/TIA patients over 3 years. J Neurol Neurosurg Psychiatry 2014; 85:1324-30. [PMID: 24659793 DOI: 10.1136/jnnp-2013-306776] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To examine how cognitive deficits progress in the years following a stroke or transient ischaemic attack (TIA). METHODS A follow-up study, with neuropsychological and MRI assessments undertaken 3 years after baseline assessments made 3-6 months poststroke in 183 stroke/TIA patients and 97 healthy controls participating in the Sydney Stroke Study. Additional measures included cardiovascular risk factors and apolipoprotein E (APOE) genotype. RESULTS Stroke/TIA patients had poorer cognitive function and more vascular risk factors than controls at baseline, but did not show greater decline in cognitive function over 3 years except for verbal memory. Patients with a subsequent stroke/TIA showed greater decline in global cognitive function and a number of domains. Rates of incident dementia were 5.9% per year in patients and 0.4% in controls. Both groups showed increased atrophy of the hippocampus, amygdala and whole brain, and an increase in white matter hyperintensities over 3 years; whole brain atrophy was greater in patients. Cognitive decline was greater in women and in those with smaller hippocampi at baseline. For patients without a subsequent stroke/TIA, those with smaller hippocampi or the APOE ε4 allele had greater global cognitive and verbal memory decline. CONCLUSIONS In poststroke patients, cognitive decline was not greater than in comparison subjects, except for verbal memory, unless they had another stroke/TIA. However, dementia incidence was higher in patients, as might be expected from their poorer baseline cognitive functioning. Smaller hippocampi were associated with an increased risk of decline in memory, and APOE ε4 was a risk factor in those without a subsequent stroke/TIA.
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Affiliation(s)
- Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia Primary Dementia Collaborative Research Centre, University of New South Wales, Sydney, Australia Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
| | - Darren M Lipnicki
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
| | - John D Crawford
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia Primary Dementia Collaborative Research Centre, University of New South Wales, Sydney, Australia Academic Department for Old Age Psychiatry, Prince of Wales Hospital, Sydney, Australia
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The importance of cognition to quality of life after stroke. J Psychosom Res 2014; 77:374-9. [PMID: 25217449 DOI: 10.1016/j.jpsychores.2014.08.009] [Citation(s) in RCA: 101] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Revised: 08/20/2014] [Accepted: 08/21/2014] [Indexed: 11/20/2022]
Abstract
OBJECTIVE Suffering a stroke typically has a negative impact on a person's quality of life. There is some evidence that post-stroke cognitive impairment is associated with poor quality of life, but the relative importance of deficits in different cognitive domains has not been established. METHODS Patients with confirmed stroke were recruited in the acute hospital. A subgroup of patients completed 2 computerized cognitive tasks (simple and choice reaction time) within 2 weeks of stroke. The full cohort was followed up at 3 months with a comprehensive neuropsychological battery and then at 12 months with the Assessment of Quality of Life ('AQoL). RESULTS Sixty patients participated in the study (mean age 72.1 years, SD 13.9), with a subgroup of 33 patients tested acutely (mean age 75.5 years, SD 11.9). Presence of cognitive impairment at 3 months was independently associated with lower quality of life at 12 months (p=0.021). Attention and visuospatial ability were the cognitive domains most closely associated with quality of life. Faster choice reaction time in the acute stage (mean 5.4 days post-stroke) was significantly associated with better quality of life at 12 months (p=0.003). CONCLUSION Cognition, particularly attention and visuospatial ability, is strongly associated with quality of life after stroke. It is possible that straightforward reaction time tasks are sensitive to the extent of brain damage, and might therefore be surrogate markers for quality of life.
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Kliper E, Ben Assayag E, Tarrasch R, Artzi M, Korczyn AD, Shenhar-Tsarfaty S, Aizenstein O, Hallevi H, Mike A, Shopin L, Bornstein NM, Ben Bashat D. Cognitive state following stroke: the predominant role of preexisting white matter lesions. PLoS One 2014; 9:e105461. [PMID: 25153800 PMCID: PMC4143274 DOI: 10.1371/journal.pone.0105461] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2013] [Accepted: 07/24/2014] [Indexed: 11/25/2022] Open
Abstract
Background and purpose Stroke is a major cause of cognitive impairment and dementia in adults, however the role of the ischemic lesions themselves, on top of other risk factors known in the elderly, remains controversial. This study used structural equation modeling to determine the respective impact of the new ischemic lesions' volume, preexisting white matter lesions and white matter integrity on post stroke cognitive state. Methods Consecutive first ever mild to moderate stroke or transient ischemic attack patients recruited into the ongoing prospective TABASCO study underwent magnetic resonance imaging scans within seven days of stroke onset and were cognitively assessed one year after the event using a computerized neuropsychological battery. The volumes of both ischemic lesions and preexisting white matter lesions and the integrity of the normal appearing white matter tissue were measured and their contribution to cognitive state was assessed using structural equation modeling path analysis taking into account demographic parameters. Two models were hypothesized, differing by the role of ischemic lesions' volume. Results Structural equation modeling analysis of 142 patients confirmed the predominant role of white matter lesion volume (standardized path coefficient β = −0.231) and normal appearing white matter integrity (β = −0.176) on the global cognitive score, while ischemic lesions' volume showed no such effect (β = 0.038). The model excluding the ischemic lesion presented better fit to the data (comparative fit index 0.9 versus 0.092). Conclusions Mild to moderate stroke patients with preexisting white matter lesions are more vulnerable to cognitive impairment regardless of their new ischemic lesions. Thus, these patients can serve as a target group for studies on cognitive rehabilitation and neuro-protective therapies which may, in turn, slow their cognitive deterioration.
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Affiliation(s)
- Efrat Kliper
- Functional Brain Center, The Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Neurology Department, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Einor Ben Assayag
- Neurology Department, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Ricardo Tarrasch
- Jaime and Joan Constantiner School of Education, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Moran Artzi
- Functional Brain Center, The Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Amos D Korczyn
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | | | - Orna Aizenstein
- Functional Brain Center, The Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Hen Hallevi
- Neurology Department, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Anat Mike
- Neurology Department, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Ludmila Shopin
- Neurology Department, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Natan M Bornstein
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Neurology Department, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Dafna Ben Bashat
- Functional Brain Center, The Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
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Thiel A, Cechetto DF, Heiss WD, Hachinski V, Whitehead SN. Amyloid burden, neuroinflammation, and links to cognitive decline after ischemic stroke. Stroke 2014; 45:2825-9. [PMID: 25005439 DOI: 10.1161/strokeaha.114.004285] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Alexander Thiel
- From the Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada (A.T.); Vulnerable Brain Laboratory, Department of Anatomy and Cell Biology (D.F.C., S.N.W.), and Department of Clinical Neurological Sciences, London Health Sciences Centre (V.H., S.N.W.), Western University, London, Ontario, Canada; and Max Planck Institute for Neurological Research, Cologne, Germany (W.-D.H.)
| | - David F Cechetto
- From the Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada (A.T.); Vulnerable Brain Laboratory, Department of Anatomy and Cell Biology (D.F.C., S.N.W.), and Department of Clinical Neurological Sciences, London Health Sciences Centre (V.H., S.N.W.), Western University, London, Ontario, Canada; and Max Planck Institute for Neurological Research, Cologne, Germany (W.-D.H.)
| | - Wolf-Dieter Heiss
- From the Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada (A.T.); Vulnerable Brain Laboratory, Department of Anatomy and Cell Biology (D.F.C., S.N.W.), and Department of Clinical Neurological Sciences, London Health Sciences Centre (V.H., S.N.W.), Western University, London, Ontario, Canada; and Max Planck Institute for Neurological Research, Cologne, Germany (W.-D.H.)
| | - Vladimir Hachinski
- From the Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada (A.T.); Vulnerable Brain Laboratory, Department of Anatomy and Cell Biology (D.F.C., S.N.W.), and Department of Clinical Neurological Sciences, London Health Sciences Centre (V.H., S.N.W.), Western University, London, Ontario, Canada; and Max Planck Institute for Neurological Research, Cologne, Germany (W.-D.H.)
| | - Shawn N Whitehead
- From the Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada (A.T.); Vulnerable Brain Laboratory, Department of Anatomy and Cell Biology (D.F.C., S.N.W.), and Department of Clinical Neurological Sciences, London Health Sciences Centre (V.H., S.N.W.), Western University, London, Ontario, Canada; and Max Planck Institute for Neurological Research, Cologne, Germany (W.-D.H.).
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Brodtmann A, Werden E, Pardoe H, Li Q, Jackson G, Donnan G, Cowie T, Bradshaw J, Darby D, Cumming T. Charting Cognitive and Volumetric Trajectories after Stroke: Protocol for the Cognition and Neocortical Volume after Stroke (CANVAS) Study. Int J Stroke 2014; 9:824-8. [DOI: 10.1111/ijs.12301] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Accepted: 05/07/2014] [Indexed: 11/30/2022]
Abstract
Rationale Globally, stroke and dementia are leading causes of disability and mortality. More than one third of stroke patients will develop dementia, but mechanisms are unclear. Aims The study aims to establish whether brain volume change is associated with poststroke dementia, and to elucidate potential causal mechanisms, including genetic markers, amyloid deposition and vascular risk factors. An understanding of whether – and in whom – stroke is neurodegenerative is critical for the strategic use of potential disease-modifying therapies. Hypotheses That stroke patients will exhibit greater brain volume loss than comparable cohorts of stroke-free controls; and that those who develop dementia will exhibit greater brain volume loss than those who do not. Design Advanced brain imaging techniques are used to longitudinally measure brain volume and cortical thickness in 135 stroke patients. Concurrent neuropsychological testing will correlate clinical profile with these measures. Primary outcomes Primary imaging end-point is brain volume change between three-months and three-years poststroke; primary clinical outcome is the presence of dementia at three-years. Secondary outcomes We will examine the correlations with the following variables: dementia subtype; physical activity levels; behavioral dysfunction as measured by patient and caregiver-reported scales; structural and functional brain connectivity disruption; apolipoprotein E; and specific neuropsychological test scores. Discussion Magnetic resonance imaging markers of structural brain aging and performance on neuropsychological tests are powerful predictors of dementia. We need to understand the trajectory of regional brain volume change and cognitive decline in patients after stroke. This will allow future risk stratification for prognostic counseling, service planning, and early therapeutic intervention.
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Affiliation(s)
- Amy Brodtmann
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Vic., Australia
- Austin Health, Heidelberg, Melbourne, Vic., Australia
- Eastern Clinical Research Unit, Monash University, Box Hill Hospital, Melbourne, Vic., Australia
| | - Emilio Werden
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Vic., Australia
| | - Heath Pardoe
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Vic., Australia
- Comprehensive Epilepsy Center, Department of Neurology, New York University Langone Medical Center, New York, NY, USA
| | - Qi Li
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Vic., Australia
| | - Graeme Jackson
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Vic., Australia
- Austin Health, Heidelberg, Melbourne, Vic., Australia
| | - Geoffrey Donnan
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Vic., Australia
| | - Tiffany Cowie
- The Centre for Translational Pathology, University of Melbourne, Melbourne, Vic., Australia
| | | | - David Darby
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Vic., Australia
- Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, Vic., Australia
| | - Toby Cumming
- The Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Vic., Australia
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Brainin M, Matz K, Nemec M, Teuschl Y, Dachenhausen A, Asenbaum-Nan S, Bancher C, Kepplinger B, Oberndorfer S, Pinter M, Schnider P, Tuomilehto J. Prevention of Poststroke Cognitive Decline: ASPIS – a Multicenter, Randomized, Observer-Blind, Parallel Group Clinical Trial to Evaluate Multiple Lifestyle Interventions – Study Design and Baseline Characteristics. Int J Stroke 2013; 10:627-35. [DOI: 10.1111/ijs.12188] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2013] [Accepted: 08/05/2013] [Indexed: 11/28/2022]
Abstract
Background Cognitive impairment after stroke is a considerable burden to patients and their caregivers and occurs in one-third of stroke survivors. No strategy to prevent cognitive decline after stroke exists thus far. Established vascular risk factors have been associated with cognitive decline and may be a target for therapeutic interventions in stroke survivors. Aim To test whether intensive multifactorial non-pharmacologic interventions based on lifestyle modification can reduce the risk of cognitive decline in patients who recently suffered ischemic stroke. Methods A randomized, controlled, multicenter, observer-blind trial was designed. The reference group obtains stroke care according to standard guidelines. The intervention group additionally receives intensive control and motivation for better compliance with prescribed evidence-based medication, regular blood pressure measurements, healthy diet, regular physical activity and cognitive training. Primary outcomes are the rate of cognitive decline at 24 months, assessed by a neuropsychological test battery and the cognitive subscale of the Alzheimer's Disease Assessment Scale. Results 202 patients (29% women), aged 62 ± 9 years, were recruited during 2010 to 2012. Stroke related impairment at inclusion was low (mean National Institutes of Health Stroke Scale: 1.9±1.8, median modified Rankin Scale: 1 (0-1)). At baseline, groups did not differ significantly in demographic, clinical or lifestyle characteristics. Conclusion The recruitment was successful and the groups are balanced regarding potential confounding variables. The study will provide essential data about the feasibility and efficacy of lifestyle intervention after stroke in order to develop a new approach to prevent cognitive decline in patients with mild ischemic stroke.
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Affiliation(s)
- Michael Brainin
- Department for Clinical Neuroscience and Preventive Medicine, Danube University Krems, Krems, Austria
- Department of Neurology, Landesklinikum Tulln, Tulln, Austria
| | - Karl Matz
- Department for Clinical Neuroscience and Preventive Medicine, Danube University Krems, Krems, Austria
- Department of Neurology, Landesklinikum Tulln, Tulln, Austria
| | - Matthias Nemec
- Department for Clinical Neuroscience and Preventive Medicine, Danube University Krems, Krems, Austria
| | - Yvonne Teuschl
- Department for Clinical Neuroscience and Preventive Medicine, Danube University Krems, Krems, Austria
| | - Alexandra Dachenhausen
- Department for Clinical Neuroscience and Preventive Medicine, Danube University Krems, Krems, Austria
| | | | - Christian Bancher
- Department of Neurology, Landesklinikum Allentsteig, Allentsteig, Austria
| | | | | | - Michaela Pinter
- Department for Clinical Neuroscience and Preventive Medicine, Danube University Krems, Krems, Austria
- Department of Neurology, Landesklinikum Allentsteig, Allentsteig, Austria
| | - Peter Schnider
- Department of Neurology, Landesklinikum Wr. Neustadt, Wr. Neustadt, Austria
| | - Jaakko Tuomilehto
- Center for Vascular Prevention, Danube University Krems, Krems, Austria
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Dregan A, Wolfe CDA, Gulliford MC. Does the influence of stroke on dementia vary by different levels of prestroke cognitive functioning?: a cohort study. Stroke 2013; 44:3445-51. [PMID: 24135927 DOI: 10.1161/strokeaha.113.002990] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND PURPOSE The association between stroke and subsequent dementia or Alzheimer disease is well established. What is less understood is the extent to which this association is dependent on prestroke cognitive functioning. The study estimated the occurrence in poststroke dementia as a function of prestroke cognitive status and incident stroke. METHODS Study data were derived from the English Longitudinal Study of Ageing, a 10-year long prospective cohort study of older adults living in England. Baseline data (2002/2003) were used to group participants into tertiles of cognitive, memory, and executive functioning before an incident stroke. Data from 4 follow-up surveys were used to identify new stroke and poststroke dementia events. RESULTS The analyses were based on 10 809 participants aged≥50 years at baseline. High prestroke executive functioning was associated with lower relative risk (RR) of dementia (RR, 0.24; 95% confidence interval, 0.13-0.45; P<0.001). Stroke was associated with increased RR of poststroke dementia (RR, 2.63; 95% confidence interval, 1.80-3.84; P<0.001). The association of stroke with poststroke dementia was greater for participants with higher prestroke executive functioning (interaction term RR, 4.4; 95% confidence interval, 1.35-14.63; P=0.014). For participants with higher executive functioning, the probability of dementia was 0.3% without stroke and 3.1% after stroke, compared with 1.9% and 5.2% for lower executive functioning. CONCLUSIONS Stroke and prestroke cognition were independently associated with increased probability of poststroke dementia. Stroke results in disproportionate increase in the risk of dementia when premorbid cognitive functioning is high.
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Affiliation(s)
- Alex Dregan
- From the Department of Primary Care and Public Health Sciences, King's College London, NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
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Levine DA, Haan MN, Langa KM, Morgenstern LB, Neuhaus J, Lee A, Lisabeth LD. Impact of gender and blood pressure on poststroke cognitive decline among older Latinos. J Stroke Cerebrovasc Dis 2013; 22:1038-45. [PMID: 22748715 PMCID: PMC4030756 DOI: 10.1016/j.jstrokecerebrovasdis.2012.05.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2012] [Accepted: 05/11/2012] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Poststroke cognitive decline (PSCD) is an important consequence of stroke that may be more severe in women than in men. The existence of any gender differences in PSCD among Mexican Americans, and their potential mechanisms, such as blood pressure (BP), remain unknown. We assessed PSCD stratified on gender in older Mexican Americans and explored the influence of pre- and poststroke systolic BP on PSCD. METHODS Among 1576 nondemented, stroke-free adults 60 years of age or older when recruited between 1998 and 1999 in the Sacramento Area Latino Study on Aging (SALSA) cohort, we examined pre- and poststroke longitudinal changes in Spanish English Verbal Learning test scores (WL), a verbal memory test, and errors on the Modified Mini Mental State Examination (3MSE) scores, a global cognition test, stratified by gender, adjusting for baseline and time-varying covariates with linear mixed effects models. RESULTS We identified 151 adults (mean age 72 ± 8 years) with incident first-ever stroke during 10 years of follow-up. After adjustment for age, education, and time-varying depressive symptoms, 3MSE errors increased by 22% per year (95% confidence interval [CI] 6.8-36.7%) in men and 13.2% per year (95% CI 3.5-22.9%) in women over the poststroke period. Poststroke WL scores improved by 0.05 words per year (95% CI -0.24 to 0.33) in men and by 0.09 words per year (95% CI -0.16 to 0.34) in women. Results persisted after adjustment for time-varying systolic BP. CONCLUSIONS Among this population of older Mexican Americans, PSCD did not differ by gender. We found no evidence that systolic BP influenced PSCD in women or men.
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Affiliation(s)
- Deborah A Levine
- Division of General Medicine, University of Michigan Health System, and Ann Arbor Veterans Affairs Healthcare System, Ann Arbor, Michigan; Veterans Affairs Health Services Research and Development Center of Excellence, Ann Arbor, Michigan; The Stroke ProgramUniversity of Michigan, Ann Arbor, Michigan.
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Cumming TB, Churilov L, Linden T, Bernhardt J. Montreal Cognitive Assessment and Mini-Mental State Examination are both valid cognitive tools in stroke. Acta Neurol Scand 2013; 128:122-9. [PMID: 23425001 DOI: 10.1111/ane.12084] [Citation(s) in RCA: 133] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/14/2012] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To determine the validity of the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE) as screening tools for cognitive impairment after stroke. MATERIALS AND METHODS Cognitive assessments were administered over 2 sessions (1 week apart) at 3 months post-stroke. Scores on the MoCA and MMSE were evaluated against a diagnosis of cognitive impairment derived from a comprehensive neuropsychological battery (the criterion standard). RESULTS Sixty patients participated in the study [mean age 72.1 years (SD = 13.9), mean education 10.5 years (SD = 3.9), median acute NIHSS score 5 (IQR 3-7)]. The MoCA yielded lower scores (median = 21, IQR = 17-24; mean = 20.0, SD = 5.4) than the MMSE (median = 26, IQR = 22-27; mean = 24.2, SD = 4.5). MMSE data were more skewed towards ceiling than MoCA data (skewness = -1.09 vs -0.73). Area under the receiver operator curve was higher for MoCA than for MMSE (0.87 vs 0.84), although this difference was not significant (χ(2) = 0.48, P = 0.49). At their optimal cut-offs, the MoCA had better sensitivity than the MMSE (0.92 vs 0.82) but poorer specificity (0.67 vs 0.76). CONCLUSIONS The MoCA is a valid screening tool for post-stroke cognitive impairment; it is more sensitive but less specific than the MMSE. Contrary to the prevailing view, the MMSE also exhibited acceptable validity in this setting.
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Affiliation(s)
- T. B. Cumming
- Stroke Division; Florey Institute of Neuroscience and Mental Health; Melbourne; Australia
| | - L. Churilov
- Stroke Division; Florey Institute of Neuroscience and Mental Health; Melbourne; Australia
| | | | - J. Bernhardt
- Stroke Division; Florey Institute of Neuroscience and Mental Health; Melbourne; Australia
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Cumming TB, Marshall RS, Lazar RM. Stroke, cognitive deficits, and rehabilitation: still an incomplete picture. Int J Stroke 2013; 8:38-45. [PMID: 23280268 DOI: 10.1111/j.1747-4949.2012.00972.x] [Citation(s) in RCA: 231] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Cognitive impairment after stroke is common and can cause disability with major impacts on quality of life and independence. There are also indirect effects of cognitive impairment on functional recovery after stroke through reduced participation in rehabilitation and poor adherence to treatment guidelines. In this article, we attempt to establish the following: ● whether there is a distinct profile of cognitive impairment after stroke; ● whether the type of cognitive deficit can be associated with the features of stroke-related damage; and ● whether interventions can improve poststroke cognitive performance. There is not a consistent profile of cognitive deficits in stroke, though slowed information processing and executive dysfunction tend to predominate. Our understanding of structure-function relationships has been advanced using imaging techniques such as lesion mapping and will be further enhanced through better characterization of damage to functional networks and identification of subtle white matter abnormalities. Effective cognitive rehabilitation approaches have been reported for focal cortical deficits such as neglect and aphasia, but treatments for more diffusely represented cognitive impairment remain elusive. In the future, the hope is that different techniques that have been shown to promote neural plasticity (e.g., exercise, brain stimulation, and pharmacological agents) can be applied to improve the cognitive function of stroke survivors.
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Affiliation(s)
- Toby B Cumming
- Stroke Division, Florey Neuroscience Institutes, Melbourne, Vic., Australia.
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Ankolekar S, Renton C, Sprigg N, Bath PMW. The cog-4 subset of the national institutes of health stroke scale as a measure of cognition: relationship with baseline factors and functional outcome after stroke using data from the virtual international stroke trials archive. Stroke Res Treat 2013; 2013:562506. [PMID: 23589782 PMCID: PMC3622404 DOI: 10.1155/2013/562506] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2012] [Revised: 02/03/2013] [Accepted: 02/11/2013] [Indexed: 11/17/2022] Open
Abstract
Background. Assessing poststroke cognitive impairment is complex. A subscale of the NIHSS, the Cog-4, has been proposed as a quick test of "cognitive impairment." but a study of its properties in a larger dataset is lacking. Methods. Data from 9,147 patients with acute stroke from the VISTA archive was used to generate Cog-4 scores. The statistical properties of Cog-4, its relationship with baseline clinical characteristics, and other functional outcome measures at day 90 were assessed. Results. Mean age of patients was 69.2 years and 45.8%, were females. Day-90 Cog-4 was highly positively skewed (skewness 0.926). Patients with left hemispheric stroke had higher day-90 Cog-4 score (P < 0.001). Age, stroke severity, and previous stroke were significant predictors of Cog-4. Cog-4 was significantly correlated with dependency (modified Rankin Scale, r s = 0.512), and disability (Barthel Index, r s = -0.493). Conclusions. The Cog-4 scale at day 90 cannot be considered a useful test of cognition since it only superficially measures cognition. It is heavily dependent on the side of stroke, is inevitably associated with functional outcome (being a subset of the NIHSS), and suffers from a profound "floor" effect. Specific and validated measures are more appropriate for the assessment of poststroke cognition than Cog-4.
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Affiliation(s)
- Sandeep Ankolekar
- Stroke Trials Unit, Division of Stroke, University of Nottingham, City Hospital Campus, Nottingham NG5 1PB, UK
| | - Cheryl Renton
- Stroke Trials Unit, Division of Stroke, University of Nottingham, City Hospital Campus, Nottingham NG5 1PB, UK
| | - Nikola Sprigg
- Stroke Trials Unit, Division of Stroke, University of Nottingham, City Hospital Campus, Nottingham NG5 1PB, UK
- Stroke Service, City Hospital, Nottingham University Hospitals NHS Trust, Nottingham NG5 1PB, UK
| | - Philip M. W. Bath
- Stroke Trials Unit, Division of Stroke, University of Nottingham, City Hospital Campus, Nottingham NG5 1PB, UK
- Stroke Service, City Hospital, Nottingham University Hospitals NHS Trust, Nottingham NG5 1PB, UK
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Abstract
BACKGROUND Vascular dementia is a common disorder without definitive treatments. Cerebrolysin seems to be a promising intervention based on its potential neurotrophic and pro-cognitive effects, but studies of its efficacy have yielded inconsistent results. OBJECTIVES To assess the efficacy and safety of Cerebrolysin for vascular dementia. SEARCH METHODS We searched ALOIS - the Cochrane Dementia and Cognitive Improvement Group's Specialized Register on 4 November 2012 using the terms: Cerebrolysin, Cere, FPF1070, FPF-1070. ALOIS contains records of clinical trials identified from monthly searches of a number of major healthcare databases, numerous trial registries and grey literature sources. SELECTION CRITERIA All randomized controlled trials of Cerebrolysin for treating vascular dementia without language restriction. DATA COLLECTION AND ANALYSIS Two authors independently selected trials and evaluated the methodological quality, then extracted and analysed data from the included trials. MAIN RESULTS Six randomized controlled trials with a total of 597 participants were eligible. The meta-analyses revealed a beneficial effect of Cerebrolysin on general cognitive function measured by mini-mental state examination (MMSE) (weighted mean difference (WMD) 1.10; 95% confidence interval (CI) 0.37 to 1.82) or Alzheimer's Disease Assessment Scale Cognitive Subpart, extended version (ADAS-cog+) (WMD -4.01; 95% CI -5.36 to -2.66). It also improved patients' global clinical function evaluated by the response rates (relative risk (RR) 2.71, 95% CI 1.83 to 4.00). Only non-serious adverse events were observed in the included trials, and there was no significant difference in occurrence of non-serious side effects between groups (RR 0.97, 95% CI 0.49 to 1.94). AUTHORS' CONCLUSIONS Cerebrolysin may have positive effects on cognitive function and global function in elderly patients with vascular dementia of mild to moderate severity, but there is still insufficient evidence to recommend Cerebrolysin as a routine treatment for vascular dementia due to the limited number of included trials, wide variety of treatment durations and short-term follow-up in most of the trials.
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Affiliation(s)
- Ning Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
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Kim HA, Miller AA, Drummond GR, Thrift AG, Arumugam TV, Phan TG, Srikanth VK, Sobey CG. Vascular cognitive impairment and Alzheimer’s disease: role of cerebral hypoperfusion and oxidative stress. Naunyn Schmiedebergs Arch Pharmacol 2012; 385:953-9. [DOI: 10.1007/s00210-012-0790-7] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2012] [Accepted: 07/27/2012] [Indexed: 10/27/2022]
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Mayeux R, Stern Y. Epidemiology of Alzheimer disease. Cold Spring Harb Perspect Med 2012; 2:cshperspect.a006239. [PMID: 22908189 DOI: 10.1101/cshperspect.a006239] [Citation(s) in RCA: 589] [Impact Index Per Article: 49.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The global prevalence of dementia has been estimated to be as high as 24 million, and is predicted to double every 20 years until at least 2040. As the population worldwide continues to age, the number of individuals at risk will also increase, particularly among the very old. Alzheimer disease is the leading cause of dementia beginning with impaired memory. The neuropathological hallmarks of Alzheimer disease include diffuse and neuritic extracellular amyloid plaques in brain that are frequently surrounded by dystrophic neurites and intraneuronal neurofibrillary tangles. The etiology of Alzheimer disease remains unclear, but it is likely to be the result of both genetic and environmental factors. In this review we discuss the prevalence and incidence rates, the established environmental risk factors, and the protective factors, and briefly review genetic variants predisposing to disease.
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Affiliation(s)
- Richard Mayeux
- Gertrude H. Sergievsky Center, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY 10032, USA
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Mok V, Xiong Y, Wong KK, Wong A, Schmidt R, Chu WWC, Hu X, Lung Leung EY, Chen S, Chen Y, Tang WK, Chen X, Ho CL, Wong KS, Wong STC. Predictors for cognitive decline in patients with confluent white matter hyperintensities. Alzheimers Dement 2012; 8:S96-S103. [PMID: 22651941 DOI: 10.1016/j.jalz.2011.10.004] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2011] [Revised: 07/09/2011] [Accepted: 10/13/2011] [Indexed: 10/28/2022]
Abstract
BACKGROUND Although patients harboring confluent white matter hyperintensities (WMH) are at high risk of cognitive decline, this risk varies among individuals. We investigated the predictors for cognitive decline in stroke patients with confluent WMH. METHODS We followed up 100 stroke patients with confluent WMH who were participants of the VITAmins TO Prevent Stroke study for 2 years. We investigated the association between clinical features, apolipoprotein E status, imaging measures (infarcts, microbleeds, volumes of WMH, cortical gray matter [cGM], lateral ventricles, and hippocampi), and B vitamins with changes in cognitive measures (clinical dementia rating scale, Mini-Mental State Examination, Mattis dementia rating scale--initiation/perseveration subscale). We performed Pittsburgh compound B imaging among dementia converters. RESULTS Multivariate regression analysis showed that increase in clinical dementia rating scale grade was associated with cGM atrophy, absence of hyperlipidemia, and lower diastolic blood pressure at baseline. cGM atrophy and absence of hyperlipidemia were also associated with deterioration in Mini-Mental State Examination and Mattis dementia rating scale--initiation/perseveration subscale scores. Pittsburgh compound B retention typical of Alzheimer's disease was found only in 10% of dementia converters. Incident stroke and B vitamins were not associated with cognitive decline. CONCLUSIONS Among stroke patients with confluent WMH, cGM atrophy and absence of hyperlipidemia are important predictors for cognitive decline. Significant cognitive decline can occur in the absence of incident stroke or Alzheimer's pathology.
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Affiliation(s)
- Vincent Mok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, People's Republic of China.
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