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Folloso MC, Villaraza SG, Yi-Wen L, Pek-Lan K, Tanaka T, Hilal S, Venketasubramanian N, Li-Hsian Chen C. The AHA/ASA and DSM-V diagnostic criteria for vascular cognitive impairment identify cases with predominant vascular pathology. Int J Stroke 2024; 19:925-934. [PMID: 38651759 PMCID: PMC11408959 DOI: 10.1177/17474930241252556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
BACKGROUND There are major challenges in determining the etiology of vascular cognitive impairment (VCI) clinically, especially in the presence of mixed pathologies, such as vascular and amyloid. Most recently, two criteria (American Heart Association/American Stroke Association (AHA/ASA) and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V)) have been proposed for the clinical diagnosis of VCI but have not as yet been validated using neuroimaging. AIMS This study aims to determine whether the AHA/ASA and DSM-V criteria for VCI can distinguish between cases with predominantly vascular pathology and cases with mixed pathology. METHODS A total of 186 subjects were recruited from a cross-sectional memory clinic-based study at the National University Hospital, Singapore. All subjects underwent clinical and neuropsychological assessment, magnetic resonance imaging (MRI) and carbon 11-labeled Pittsburgh Compound B ([11C] PiB) positron emission tomography (PET) scans. Diagnosis of the etiological subtypes of VCI (probable vascular mild cognitive impairment (VaMCI), possible VaMCI, non-VaMCI, probable vascular dementia (VaD), possible VaD, non-VaD) were performed following AHA/ASA and DSM-V criteria. Brain amyloid burden was determined for each subject with standardized uptake value ratio (SUVR) values ⩾1.5 classified as amyloid positive. RESULTS Using κ statistics, both criteria had excellent agreement for probable VaMCI, probable VaD, and possible VaD (κ = 1.00), and good for possible VaMCI (κ = 0.71). Using the AHA/ASA criteria, the amyloid positivity of probable VaMCI (3.8%) and probable VaD (15%) was significantly lower compared to possible VaMCI (26.7%), non-VaMCI (33.3%), possible VaD (73.3%), and non-VaD (76.2%) (p < 0.001). Similarly, using the DSM-V criteria, the amyloid positivity of probable VaMCI (3.8%) and probable VaD (15%) was significantly lower compared to possible VaMCI (26.3%), non-VaMCI (32.1%), possible VaD (73.3%), and non-VaD (76.2%) (p < 0.001). In both criteria, there was good agreement in differentiating individuals with non-VaD and possible VaD, with significantly higher (p < 0.001) global [11C]-PiB SUVR, from individuals with probable VaMCI and probable VaD, who had predominant vascular pathology. CONCLUSION The AHA/ASA and DSM-V criteria for VCI can identify VCI cases with little to no concomitant amyloid pathology, hence supporting the utility of AHA/ASA and DSM-V criteria in diagnosing patients with predominant vascular pathology. DATA ACCESS STATEMENT Data supporting this study are available from the Memory Aging and Cognition Center, National University of Singapore. Access to the data is subject to approval and a data sharing agreement due to University policy.
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Affiliation(s)
- Melmar C Folloso
- Memory, Ageing and Cognition Centre, National University Health System, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University Hospital, Singapore
| | - Steven G Villaraza
- Memory, Ageing and Cognition Centre, National University Health System, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University Hospital, Singapore
| | - Lo Yi-Wen
- Clinical Imaging Research Centre, National University of Singapore, Singapore
| | - Khong Pek-Lan
- Clinical Imaging Research Centre, National University of Singapore, Singapore
| | - Tomotaka Tanaka
- Memory, Ageing and Cognition Centre, National University Health System, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Saima Hilal
- Memory, Ageing and Cognition Centre, National University Health System, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | | | - Christopher Li-Hsian Chen
- Memory, Ageing and Cognition Centre, National University Health System, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University Hospital, Singapore
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Jiménez-Ruiz A, Aguilar-Fuentes V, Becerra-Aguiar NN, Roque-Sanchez I, Ruiz-Sandoval JL. Vascular cognitive impairment and dementia: a narrative review. Dement Neuropsychol 2024; 18:e20230116. [PMID: 39318380 PMCID: PMC11421556 DOI: 10.1590/1980-5764-dn-2023-0116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 04/15/2024] [Accepted: 06/09/2024] [Indexed: 09/26/2024] Open
Abstract
Vascular cognitive impairment (VCI) is the second most common cause of cognitive impairment after Alzheimer's disease. The VCI spectrum involves a decline in cognition attributable to vascular pathologies (e.g., large infarcts or hemorrhages, microinfarcts, microbleeds, lacunar infarcts, white matter hyperintensities, and perivascular space dilation). Pathophysiological mechanisms include direct tissue injury, small vessel disease, inflammaging (inflammation + aging), atrophy, and altered neurotransmission. VCI is diagnosed using distinct clinical and radiological criteria. It may lead to long-term disability and reduced quality of life. An essential factor for reducing cognitive impairment incidence is preventing stroke by managing traditional and non-traditional cerebrovascular risk factors. This article reviews the spectrum of VCI, epidemiology, risk factors, pathophysiology, diagnosis, available treatment, and preventive strategies.
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Affiliation(s)
- Amado Jiménez-Ruiz
- Stroke & Cerebrovascular Disease Clinic, Hospital Civil Fray Antonio Alcalde, Neurology Department, Guadalajara, Jalisco, Mexico
| | - Victor Aguilar-Fuentes
- Stroke & Cerebrovascular Disease Clinic, Hospital Civil Fray Antonio Alcalde, Neurology Department, Guadalajara, Jalisco, Mexico
| | - Naomi Nazareth Becerra-Aguiar
- Stroke & Cerebrovascular Disease Clinic, Hospital Civil Fray Antonio Alcalde, Neurology Department, Guadalajara, Jalisco, Mexico
| | - Ivan Roque-Sanchez
- Stroke & Cerebrovascular Disease Clinic, Hospital Civil Fray Antonio Alcalde, Neurology Department, Guadalajara, Jalisco, Mexico
| | - Jose Luis Ruiz-Sandoval
- Stroke & Cerebrovascular Disease Clinic, Hospital Civil Fray Antonio Alcalde, Neurology Department, Guadalajara, Jalisco, Mexico
- Universidad de Guadalajara, Centro Universitario de Ciencias de la Salud, Departamento de Neurociencias, Guadalajara, Jalisco, Mexico
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Gustafson D, Kalaria R, O'Brien J, van den Brink H, Hilal S, Marseglia A, ter Telgte A, Skoog I. VasCog 2023: 20 years of research on vascular behavioural and cognitive disorders. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2024; 6:100224. [PMID: 38868624 PMCID: PMC11167242 DOI: 10.1016/j.cccb.2024.100224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 05/03/2024] [Indexed: 06/14/2024]
Abstract
This Commentary describes the 20th Anniversary of VasCog 2023, held in Gothenburg, Sweden.
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Affiliation(s)
- D.R. Gustafson
- Department of Neurology, State University of New York Downstate Health Sciences University, MSC 1213, 450 Clarkson Avenue, Brooklyn, NY 11203, USA
| | - R. Kalaria
- Translational and Clinical Research Institute, Newcastle University, United Kingdom
| | - J. O'Brien
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, United Kingdom
| | - H. van den Brink
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - S. Hilal
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - A. Marseglia
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - A. ter Telgte
- VASCage – Center on Clinical Stroke Research, Innsbruck, Austria
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - I. Skoog
- Center for Ageing and Health, Institute for Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Pei MQ, Xu LM, Yang YS, Chen WC, Chen XL, Fang YM, Lin S, He HF. Latest advances and clinical application prospects of resveratrol therapy for neurocognitive disorders. Brain Res 2024; 1830:148821. [PMID: 38401770 DOI: 10.1016/j.brainres.2024.148821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/13/2024] [Accepted: 02/21/2024] [Indexed: 02/26/2024]
Abstract
Neurocognitive disorders, such as Alzheimer's disease, vascular dementia, and postoperative cognitive dysfunction, are non-psychiatric brain syndromes in which a significant decline in cognitive function causes great trauma to the mental status of the patient. The lack of effective treatments for neurocognitive disorders imposes a considerable burden on society, including a substantial economic impact. Over the past few decades, the identification of resveratrol, a natural plant compound, has provided researchers with an opportunity to formulate novel strategies for the treatment of neurocognitive disorders. This is because resveratrol effectively protects the brain of those with neurocognitive disorders by targeting some mechanisms such as inflammation and oxidative stress. This article reviews the status of recent research investigating the use of resveratrol for the treatment of different neurocognitive disorders. By examining the possible mechanisms of action of resveratrol and the shared mechanisms of different neurocognitive disorders, treatments for neurocognitive disorders may be further clarified.
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Affiliation(s)
- Meng-Qin Pei
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, No. 34 North Zhongshan Road, Quanzhou, Fujian Province, China
| | - Li-Ming Xu
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, No. 34 North Zhongshan Road, Quanzhou, Fujian Province, China
| | - Yu-Shen Yang
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, No. 34 North Zhongshan Road, Quanzhou, Fujian Province, China
| | - Wei-Can Chen
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, No. 34 North Zhongshan Road, Quanzhou, Fujian Province, China
| | - Xin-Li Chen
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, No. 34 North Zhongshan Road, Quanzhou, Fujian Province, China
| | - Yu-Ming Fang
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, No. 34 North Zhongshan Road, Quanzhou, Fujian Province, China
| | - Shu Lin
- Center of Neurological and Metabolic Research, the Second Affiliated Hospital of Fujian Medical University, No. 34 North Zhongshan Road, Quanzhou, Fujian Province, China; Neuroendocrinology Group, Garvan Institute of Medical Research, 384 Victoria St, Sydney, Australia.
| | - He-Fan He
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, No. 34 North Zhongshan Road, Quanzhou, Fujian Province, China.
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Frisoni GB, Festari C, Massa F, Cotta Ramusino M, Orini S, Aarsland D, Agosta F, Babiloni C, Borroni B, Cappa SF, Frederiksen KS, Froelich L, Garibotto V, Haliassos A, Jessen F, Kamondi A, Kessels RP, Morbelli SD, O'Brien JT, Otto M, Perret-Liaudet A, Pizzini FB, Vandenbulcke M, Vanninen R, Verhey F, Vernooij MW, Yousry T, Boada Rovira M, Dubois B, Georges J, Hansson O, Ritchie CW, Scheltens P, van der Flier WM, Nobili F. European intersocietal recommendations for the biomarker-based diagnosis of neurocognitive disorders. Lancet Neurol 2024; 23:302-312. [PMID: 38365381 DOI: 10.1016/s1474-4422(23)00447-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/30/2023] [Accepted: 11/13/2023] [Indexed: 02/18/2024]
Abstract
The recent commercialisation of the first disease-modifying drugs for Alzheimer's disease emphasises the need for consensus recommendations on the rational use of biomarkers to diagnose people with suspected neurocognitive disorders in memory clinics. Most available recommendations and guidelines are either disease-centred or biomarker-centred. A European multidisciplinary taskforce consisting of 22 experts from 11 European scientific societies set out to define the first patient-centred diagnostic workflow that aims to prioritise testing for available biomarkers in individuals attending memory clinics. After an extensive literature review, we used a Delphi consensus procedure to identify 11 clinical syndromes, based on clinical history and examination, neuropsychology, blood tests, structural imaging, and, in some cases, EEG. We recommend first-line and, if needed, second-line testing for biomarkers according to the patient's clinical profile and the results of previous biomarker findings. This diagnostic workflow will promote consistency in the diagnosis of neurocognitive disorders across European countries.
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Affiliation(s)
- Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland; Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
| | - Cristina Festari
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Federico Massa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Matteo Cotta Ramusino
- Unit of Behavioral Neurology and Dementia Research Center (DRC), IRCCS Mondino Foundation, Pavia, Italy
| | - Stefania Orini
- Alzheimer's Unit-Memory Clinic, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Dag Aarsland
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway; UK Dementia Research Institute, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Federica Agosta
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "V Erspamer", Sapienza University of Rome, Rome, Italy; Hospital San Raffaele of Cassino, Cassino, Italy
| | - Barbara Borroni
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Department of Continuity of Care and Frailty, ASST Spedali Civili, Brescia, Italy
| | - Stefano F Cappa
- Centro Ricerca sulle Demenze, IRCCS Mondino Foundation, Pavia, Italy; University Institute for Advanced Studies (IUSS), Pavia, Italy
| | - Kristian S Frederiksen
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lutz Froelich
- Department of Geriatric Psychiatry, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Valentina Garibotto
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland; CIBM Center for Biomedical Imaging, Geneva, Switzerland
| | | | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Anita Kamondi
- National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary; Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Roy Pc Kessels
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands; Radboud UMC Alzheimer Center and Department of Medical Psychology, Radboud University Medical Center, Nijmegen, Netherlands; Vincent van Gogh Institute for Psychiatry, Venray, Netherlands
| | - Silvia D Morbelli
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - John T O'Brien
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Markus Otto
- Department of Neurology, Martin Luther University of Halle-Wittenberg, Halle (Saale), Germany
| | | | - Francesca B Pizzini
- Department of Diagnostic and Public Health, Verona University Hospital, Verona University, Verona, Italy
| | - Mathieu Vandenbulcke
- Department of Neurosciences, KU Leuven, Leuven, Belgium; Department of Geriatric Psychiatry, University Psychiatric Centre KU Leuven, Leuven-Kortenberg, Belgium
| | - Ritva Vanninen
- University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Frans Verhey
- Department of Psychiatry and Neuropsychology-Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Meike W Vernooij
- Department of Epidemiology and Department of Radiology and Nuclear Medicine Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Tarek Yousry
- Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, University College London Hospitals NHS Foundation Trust National Hospital for Neurology and Neurosurgery, London, UK
| | - Mercè Boada Rovira
- Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Bruno Dubois
- Institut de La Mémoire et de La Maladie d'Alzheimer, Neurology Department, Salpêtrière Hospital, Assistance Publique-Hôpital de Paris, Paris, France; Sorbonne University, Paris, France
| | | | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Craig W Ritchie
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, Western General Hospital, University of Edinburgh, Edinburgh, UK; Brain Health Scotland, Edinburgh, UK
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands; Amsterdam Neuroscience-Neurodegeneration, Amsterdam, Netherlands; Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, Netherlands
| | - Flavio Nobili
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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Kim HE, Kim JJ, Seok JH, Park JY, Oh J. Resting-state functional connectivity and cognitive performance in aging adults with cognitive decline: A data-driven multivariate pattern analysis. Compr Psychiatry 2024; 129:152445. [PMID: 38154288 DOI: 10.1016/j.comppsych.2023.152445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 11/23/2023] [Accepted: 12/14/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Cognitive impairments occur on a continuous spectrum in multiple cognitive domains showing individual variability of the deteriorating patterns; however, often, cognitive domains are studied separately. METHODS The present study investigated aging individual variations of cognitive abilities and related resting-state functional connectivity (rsFC) using data-driven approach. Cognitive and neuroimaging data were obtained from 62 elderly outpatients with cognitive decline. Principal component analysis (PCA) was conducted on the cognitive data to determine patterns of cognitive performance, then data-driven whole-brain connectome multivariate pattern analysis (MVPA) was applied on the neuroimaging data to discover neural regions associated with the cognitive characteristic. RESULTS The first component (PC1) delineated an overall decline in all domains of cognition, and the second component (PC2) represented a compensatory relationship within basic cognitive functions. MVPA indicated rsFC of the cerebellum lobule VIII and insula with the default-mode network, frontoparietal network, and salience network inversely correlated with PC1 scores. Additionally, PC2 score was related to rsFC patterns with temporal pole and occipital cortex. CONCLUSIONS The featured primary cognitive characteristic depicted the importance of the cerebellum and insula connectivity patterns in of the general cognitive decline. The findings also discovered a secondary characteristic that communicated impaired interactions within the basic cognitive function, which was independent from the impairment severity.
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Affiliation(s)
- Hesun Erin Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jae-Jin Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jeong-Ho Seok
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Young Park
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea
| | - Jooyoung Oh
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
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Kalaria RN, Akinyemi RO, Paddick SM, Ihara M. Current perspectives on prevention of vascular cognitive impairment and promotion of vascular brain health. Expert Rev Neurother 2024; 24:25-44. [PMID: 37916306 PMCID: PMC10872925 DOI: 10.1080/14737175.2023.2273393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 10/17/2023] [Indexed: 11/03/2023]
Abstract
INTRODUCTION The true global burden of vascular cognitive impairment (VCI) is unknown. Reducing risk factors for stroke and cardiovascular disease would inevitably curtail VCI. AREAS COVERED The authors review current diagnosis, epidemiology, and risk factors for VCI. VCI increases in older age and by inheritance of known genetic traits. They emphasize modifiable risk factors identified by the 2020 Lancet Dementia Commission. The most profound risks for VCI also include lower education, cardiometabolic factors, and compromised cognitive reserve. Finally, they discuss pharmacological and non-pharmacological interventions. EXPERT OPINION By virtue of the high frequencies of stroke and cardiovascular disease the global prevalence of VCI is expectedly higher than prevalent neurodegenerative disorders causing dementia. Since ~ 90% of the global burden of stroke can be attributed to modifiable risk factors, a formidable opportunity arises to reduce the burden of not only stroke but VCI outcomes including progression from mild to the major in form of vascular dementia. Strict control of vascular risk factors and secondary prevention of cerebrovascular disease via pharmacological interventions will impact on burden of VCI. Non-pharmacological measures by adopting healthy diets and encouraging physical and cognitive activities and urging multidomain approaches are important for prevention of VCI and preservation of vascular brain health.
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Affiliation(s)
- Raj N Kalaria
- Translational and Clinical Research Institute, 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
| | - Stella-Maria Paddick
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Centre, Osaka, Japan
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Hainsworth AH, Markus HS, Schneider JA. Cerebral Small Vessel Disease, Hypertension, and Vascular Contributions to Cognitive Impairment and Dementia. Hypertension 2024; 81:75-86. [PMID: 38044814 PMCID: PMC10734789 DOI: 10.1161/hypertensionaha.123.19943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Hypertension-associated cerebral small vessel disease is a common finding in older people. Strongly associated with age and hypertension, small vessel disease is found at autopsy in over 50% of people aged ≥65 years, with a spectrum of clinical manifestations. It is the main cause of lacunar stroke and a major source of vascular contributions to cognitive impairment and dementia. The brain areas affected are subcortical and periventricular white matter and deep gray nuclei. Neuropathological sequelae are diffuse white matter lesions (seen as white matter hyperintensities on T2-weighted magnetic resonance imaging), small ischemic foci (lacunes or microinfarcts), and less commonly, subcortical microhemorrhages. The most common form of cerebral small vessel disease is concentric, fibrotic thickening of small penetrating arteries (up to 300 microns outer diameter) termed arteriolosclerosis. Less common forms are small artery atheroma and lipohyalinosis (the lesions described by C. Miller Fisher adjacent to lacunes). Other microvascular lesions that are not reviewed here include cerebral amyloid angiopathy and venous collagenosis. Here, we review the epidemiology, neuropathology, clinical management, genetics, preclinical models, and pathogenesis of hypertensive small vessel disease. Knowledge gaps include initiating factors, molecular pathogenesis, relationships between arterial pathology and tissue damage, possible reversibility, pharmacological targets, and molecular biomarkers. Progress is anticipated from multicell transcriptomic and proteomic profiling, novel experimental models and further target-finding and interventional clinical studies.
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Affiliation(s)
- Atticus H. Hainsworth
- Molecular and Clinical Sciences Research Institute, St George’s University of London, United Kingdom (A.H.H.)
- Department of Neurology, St George’s University Hospitals NHS Foundation Trust, London, United Kingdom (A.H.H.)
| | - Hugh S. Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.S.M.)
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Departments of Pathology and Neurological Sciences, Rush University Medical Center, Chicago, IL (J.A.S.)
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Cao M, Liu J, Zhang X, Wang Y, Hou Y, Song Q, Cui Y, Zhao Y, Wang P. IL-17A promotes the progression of Alzheimer's disease in APP/PS1 mice. Immun Ageing 2023; 20:74. [PMID: 38098004 PMCID: PMC10720112 DOI: 10.1186/s12979-023-00397-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 11/21/2023] [Indexed: 12/18/2023]
Abstract
BACKGROUND Alzheimer's disease (AD), which is the most common cause of dementia in elderly individuals, is a progressive neurodegenerative disorder. Neuroinflammation, which is an immune response that is activated by glial cells in the central nervous system, plays an important role in neurodegenerative diseases. Many studies have shown that interleukin-17A (IL-17A) plays an important role in AD, but research on the pathological effects of IL-17A on AD is limited. METHODS We report the effect of IL-17A on AD progression in APPswe/PS1dE9 (APP/PS1) mice, which are the most widely used AD model mice. The BV2 cell line, which is a microglial cell line derived from C57/BL6 mice, was used to establish a cell model to verify the role of IL-17A in neuroinflammation at the cellular level. The HT22 hippocampal neuronal cell line was used to investigate the relationship between IL-17A and Aβ deposition. RESULTS In this research, we found that IL-17A promotes the progression of AD in the APP/PS1 mouse model. The role of IL-17A in neuroinflammation is related to tumour necrosis factor (TNF)-α. Circulating IL-17A stimulates the secretion of TNF-α by microglia through the Toll-like receptor 4 (TLR4)/nuclear factor (NF)-κB signalling pathway, thus exacerbating neuroinflammation. In addition, intraperitoneal injection of IL-17A antibody (IL17Ab) significantly improved the cognitive function of APP/PS1 mice. CONCLUSIONS IL-17A increased TNF-α levels in the brain and exacerbated neuroinflammation through the TLR4/NF-κB signalling pathway and microglial activation in APP/PS1 mice. Moreover, IL-17A promoted the progression of AD by enhancing neuroinflammation, inhibiting microglial phagocytosis, and promoting the deposition of β-amyloid 42 in AD model mice.
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Affiliation(s)
- Min Cao
- Department of Clinical Laboratory, Xuanwu Hospital Capital Medical University, Beijing, 100053, People's Republic of China
- Department of Clinical Laboratory, Beijing Huairou Hospital, Beijing, 101400, People's Republic of China
| | - Jing Liu
- Department of Clinical Laboratory, Xuanwu Hospital Capital Medical University, Beijing, 100053, People's Republic of China
| | - Xiaomin Zhang
- Department of Clinical Laboratory, Xuanwu Hospital Capital Medical University, Beijing, 100053, People's Republic of China
| | - Yaqi Wang
- Department of Clinical Laboratory, Xuanwu Hospital Capital Medical University, Beijing, 100053, People's Republic of China
| | - Yuli Hou
- Department of Clinical Laboratory, Xuanwu Hospital Capital Medical University, Beijing, 100053, People's Republic of China
| | - Qiao Song
- Department of Clinical Laboratory, Xuanwu Hospital Capital Medical University, Beijing, 100053, People's Republic of China
| | - Yuting Cui
- Department of Clinical Laboratory, Xuanwu Hospital Capital Medical University, Beijing, 100053, People's Republic of China
| | - Yue Zhao
- Department of Clinical Laboratory, Xuanwu Hospital Capital Medical University, Beijing, 100053, People's Republic of China
| | - Peichang Wang
- Department of Clinical Laboratory, Xuanwu Hospital Capital Medical University, Beijing, 100053, People's Republic of China.
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10
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Saks DG, Smith EE, Sachdev PS. National and international collaborations to advance research into vascular contributions to cognitive decline. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 6:100195. [PMID: 38226362 PMCID: PMC10788430 DOI: 10.1016/j.cccb.2023.100195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 12/13/2023] [Accepted: 12/13/2023] [Indexed: 01/17/2024]
Abstract
Cerebrovascular disease is the second most common cause of cognitive disorders, usually referred to as vascular contributions to cognitive impairment and dementia (VCID) and makes some contribution to about 70 % of all dementias. Despite its importance, research into VCID has lagged as compared to cognitive impairment due to Alzheimer's disease. There is an increasing appreciation that closing this gap requires large national and international collaborations. This paper highlights 24 notable large-scale national and international efforts to advance research into VCID (MarkVCID, DiverseVCID, DISCOVERY, COMPASS-ND, HBC, RHU SHIVA, UK DRI Vascular Theme, STROKOG, Meta VCI Map, ISGC, ENIGMA-Stroke Recovery, CHARGE, SVDs@target, BRIDGET, CADASIL Consortium, CADREA, AusCADASIL, DPUK, DPAU, STRIVE, HARNESS, FINESSE, VICCCS, VCD-CRE Delphi). These collaborations aim to investigate the effects on cognition from cerebrovascular disease or impaired cerebral blood flow, the mechanisms of action, means of prevention and avenues for treatment. Consensus groups have been developed to harmonise global approaches to VCID, standardise terminology and inform management and treatment, and data sharing is becoming the norm. VCID research is increasingly a global collaborative enterprise which bodes well for rapid advances in this field.
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Affiliation(s)
- Danit G Saks
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, New South Wales, Australia
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11
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Sokolovič L, Hofmann MJ, Mohammad N, Kukolja J. Neuropsychological differential diagnosis of Alzheimer's disease and vascular dementia: a systematic review with meta-regressions. Front Aging Neurosci 2023; 15:1267434. [PMID: 38020767 PMCID: PMC10657839 DOI: 10.3389/fnagi.2023.1267434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Diagnostic classification systems and guidelines posit distinguishing patterns of impairment in Alzheimer's (AD) and vascular dementia (VaD). In our study, we aim to identify which diagnostic instruments distinguish them. Methods We searched PubMed and PsychInfo for empirical studies published until December 2020, which investigated differences in cognitive, behavioral, psychiatric, and functional measures in patients older than 64 years and reported information on VaD subtype, age, education, dementia severity, and proportion of women. We systematically reviewed these studies and conducted Bayesian hierarchical meta-regressions to quantify the evidence for differences using the Bayes factor (BF). The risk of bias was assessed using the Newcastle-Ottawa-Scale and funnel plots. Results We identified 122 studies with 17,850 AD and 5,247 VaD patients. Methodological limitations of the included studies are low comparability of patient groups and an untransparent patient selection process. In the digit span backward task, AD patients were nine times more probable (BF = 9.38) to outperform VaD patients (β g = 0.33, 95% ETI = 0.12, 0.52). In the phonemic fluency task, AD patients outperformed subcortical VaD (sVaD) patients (β g = 0.51, 95% ETI = 0.22, 0.77, BF = 42.36). VaD patients, in contrast, outperformed AD patients in verbal (β g = -0.61, 95% ETI = -0.97, -0.26, BF = 22.71) and visual (β g = -0.85, 95% ETI = -1.29, -0.32, BF = 13.67) delayed recall. We found the greatest difference in verbal memory, showing that sVaD patients outperform AD patients (β g = -0.64, 95% ETI = -0.88, -0.36, BF = 72.97). Finally, AD patients performed worse than sVaD patients in recognition memory tasks (β g = -0.76, 95% ETI = -1.26, -0.26, BF = 11.50). Conclusion Our findings show inferior performance of AD in episodic memory and superior performance in working memory. We found little support for other differences proposed by diagnostic systems and diagnostic guidelines. The utility of cognitive, behavioral, psychiatric, and functional measures in differential diagnosis is limited and should be complemented by other information. Finally, we identify research areas and avenues, which could significantly improve the diagnostic value of cognitive measures.
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Affiliation(s)
- Leo Sokolovič
- Department of Neurology and Clinical Neurophysiology, Helios University Hospital Wuppertal, Wuppertal, Germany
- Faculty of Health, Witten/Herdecke University, Witten, Germany
- Department of General and Biological Psychology, University of Wuppertal, Wuppertal, Germany
| | - Markus J. Hofmann
- Department of General and Biological Psychology, University of Wuppertal, Wuppertal, Germany
| | - Nadia Mohammad
- Department of General and Biological Psychology, University of Wuppertal, Wuppertal, Germany
| | - Juraj Kukolja
- Department of Neurology and Clinical Neurophysiology, Helios University Hospital Wuppertal, Wuppertal, Germany
- Faculty of Health, Witten/Herdecke University, Witten, Germany
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12
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Effect of neurotropin on Alzheimer's disease-like changes and cognitive function in rats with chronic cerebral hypoperfusion. Neuroreport 2023; 34:170-177. [PMID: 36719834 DOI: 10.1097/wnr.0000000000001875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Chronic cerebral hypoperfusion (CCH) is a main mechanism of cerebrovascular disease and is associated with various cerebrovascular and neurodegenerative diseases, including Alzheimer's disease. However, treatment of CCH in clinical practice is not ideal, but neurotropin (NTP) has been shown to have a neuroprotective effect. Therefore, this study examined the effect and possible mechanism of NTP in nerve injury caused by CCH. A rat CCH model was established by bilateral common carotid artery occlusion (2VO), and rats were treated with intragastric administration of NTP (200 nu/kg/day) for 28 consecutive days. After treatment, rats were subjected to the Morris water maze and novel object recognition test. Subsequently, an ELISA was applied to detect amyloid-β (Aβ) 1-40 and Aβ1-42 levels in rat hippocampal tissues, quantitative reverse transcription PCR assays were used to detect the mRNA expression levels of brain-derived neurotrophic factor (BDNF) and Trk B, and Western blots were used to detect the protein expression levels of BACE1, tau, p-tau, and protein kinase B (Akt)/glycogen synthase kinase 3β (GSK3β) pathway-related proteins. The rat model of CCH was successfully established by 2VO. Behavioral tests indicated that the cognitive ability of 2VO rats was severely impaired. NTP treatment greatly ameliorated the cognitive disability, reduced Aβ1-40 and Aβ1-42 levels and tau phosphorylation, and upregulated BACE1, Trk B, and BDNF expression in the hippocampus of 2VO rats. Finally, we found that NTP markedly activated Akt/GSK3β pathway activity. NTP can ameliorate cognitive disability in CCH rats possibly by reducing Aβ accumulation and tau phosphorylation in the hippocampus. These effects of NTP may be related to the Akt/GSK3β pathway activation. NTP may be a promising new drug candidate for CCH patients.
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13
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Hort J, Duning T, Hoerr R. Ginkgo biloba Extract EGb 761 in the Treatment of Patients with Mild Neurocognitive Impairment: A Systematic Review. Neuropsychiatr Dis Treat 2023; 19:647-660. [PMID: 36994422 PMCID: PMC10041984 DOI: 10.2147/ndt.s401231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 03/04/2023] [Indexed: 03/31/2023] Open
Abstract
Background Many clinical trials testing Ginkgo biloba extract EGb 761 in patients with mild forms of cognitive impairment were conducted before widely accepted terms and diagnostic criteria for such conditions were available. This makes it difficult to compare any results from earlier and more recent trials. The objective of this systematic review was to provide a descriptive overview of clinical trials of EGb 761 in patients who met the diagnostic criteria for mild neurocognitive disorder (mild NCD) according to the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5). Methods MEDLINE, PubMed and EMBASE were searched for randomized, placebo-controlled double-blind trials of EGb 761 in mild impairment of cognitive functioning. All trials involving patients who met retrospectively applied diagnostic criteria for mild NCD were included. Trials of primary prevention of dementia and trials of combinations of medical treatments were excluded. Results Among 298 records found in databases and 76 further records related to EGb 761 in references of systematic reviews, 9 reports on clinical trials involving 946 patients met the pre-specified criteria for inclusion. Beneficial effects of EGb 761 were seen in neuropsychological tests (8 of 9 studies), scales for neuropsychiatric symptoms (3 of 3 studies), geriatric rating scales (1 of 2 studies) and global ratings of change (1 of 1 study). Significant effects were found in several domains of cognition (memory, speed of processing, attention and executive functioning). Among the neuropsychiatric symptoms, depression (2 of 3 studies) and anxiety (1 of 1 study) were significantly improved. No differences between EGb 761 treatment and placebo were seen with regard to the rates of adverse events. Discussion The included studies demonstrate treatment benefits of Ginkgo biloba extract EGb 761, mainly on cognitive deficits and neuropsychiatric symptoms, in patients with mild NCD. The drug was safe and well tolerated.
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Affiliation(s)
- Jakub Hort
- Memory Clinic, Department of Neurology, Charles University, 2nd Faculty of Medicine and Motol University Hospital, Prague, Czech Republic
| | - Thomas Duning
- Department of Neurology, Klinikum Bremen-Ost, Bremen, Germany
| | - Robert Hoerr
- Research and Development, Dr. Willmar Schwabe GmbH & Co. KG, Karlsruhe, Germany
- Correspondence: Robert Hoerr, Research and Development, Dr. Willmar Schwabe GmbH & Co. KG, Willmar-Schwabe-Str. 4, Karlsruhe, 76227, Germany, Tel +49 721 4005 429, Email
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14
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Cao M, Liu J, Zhang X, Yang T, Wang Y, Hou Y, Song Q, Cui Y, Wang Y, Wang P. ABI3 Is a Novel Early Biomarker of Alzheimer's Disease. J Alzheimers Dis 2022; 87:335-344. [PMID: 35275543 DOI: 10.3233/jad-215635] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The Abi3 gene has been suggested to be an important regulator of microglia during Alzheimer's disease (AD), but the diagnostic power of ABI3 in neurodegenerative disease has rarely been reported. OBJECTIVE The aim of this study was to evaluate the diagnostic value of ABI3 in AD patients. METHODS ELISAs were used to measure the ABI3 level in the serum and cerebrospinal fluid (CSF) of AD patients as well as in the serum of APP/PS1 mice. RT-PCR and western blot were further performed to detect the expression levels of ABI3 in peripheral blood mononuclear cells (PBMCs) of AD subjects as well as in the hippocampus and cortical tissue of APP/PS1 mice. The correlation of cognitive ability with ABI3 level was estimated by linear regression analysis. Moreover, the diagnostic value of ABI3 for AD was assessed with ROC analysis. RESULTS The ABI3 levels all decreased significantly in the serum, CSF, and PBMCs of AD patients and showed a good diagnostic performance. In addition, the ABI3 levels were observed to decrease markedly in the hippocampus from 5-month-old mice, but the dramatic change only appeared in the cortical tissue in the 9-month-old APP/PS1 mice. The ABI3 levels in the PBMCs of AD patients and in the hippocampus of APP/PS1 mice were all positively correlated with cognitive capacity. CONCLUSION These results demonstrated that ABI3 in serum, CSF, and PBMCs could be a novel early diagnostic biomarker of AD. Moreover, ABI3 had potential to be a novel tracer marker in hippocampus of early AD.
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Affiliation(s)
- Min Cao
- Department of Clinical Laboratory, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China.,Department of Clinical Laboratory, Beijing Huairou Hospital, Beijing, People's Republic of China
| | - Jing Liu
- Department of Clinical Laboratory, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Xiaomin Zhang
- Department of Clinical Laboratory, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Tingting Yang
- Department of Clinical Laboratory, the Hospital of Shunyi District Beijing, Beijing, People's Republic of China
| | - Yaqi Wang
- Department of Clinical Laboratory, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yuli Hou
- Department of Clinical Laboratory, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Qiao Song
- Department of Clinical Laboratory, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yuting Cui
- Department of Clinical Laboratory, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yifei Wang
- Department of Laboratory Technology, Capital Medical University, Beijing, People's Republic of China
| | - Peichang Wang
- Department of Clinical Laboratory, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
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15
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Munthe-Kaas R, Aam S, Saltvedt I, Wyller TB, Pendlebury ST, Lydersen S, Hagberg G, Schellhorn T, Rostoft S, Ihle-Hansen H. Is Frailty Index a better predictor than pre-stroke modified Rankin Scale for neurocognitive outcomes 3-months post-stroke? BMC Geriatr 2022; 22:139. [PMID: 35183106 PMCID: PMC8857811 DOI: 10.1186/s12877-022-02840-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 02/11/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The prognostic value of frailty measures for post-stroke neurocognitive disorder (NCD) remains to be evaluated.
Aims
The aim of this study was to compare the predictive value of pre-stroke FI with pre-stroke modified Rankin Scale (mRS) for post-stroke cognitive impairment. Further, we explored the added value of including FI in prediction models for cognitive prognosis post-stroke.
Methods
We generated a 36-item Frailty Index (FI), based on the Rockwood FI, to measure frailty based on pre-stroke medical conditions recorded in the Nor-COAST multicentre prospective study baseline assessments. Consecutive participants with a FI score and completed cognitive test battery at three months were included. We generated Odds Ratio (OR) with NCD as the dependent variable. The predictors of primary interest were pre-stroke frailty and mRS. We also measured the predictive values of mRS and FI by the area (AUC) under the receiver operating characteristic curve.
Results
598 participants (43.0% women, mean/SD age = 71.6/11.9, mean/SD education = 12.5/3.8, mean/SD pre-stroke mRS = 0.8/1.0, mean/SD GDS pre-stroke = 1.4/0.8, mean/SD NIHSS day 1 3/4), had a FI mean/SD score = 0.14/0.10. The logistic regression analyses showed that FI (OR 3.09), as well as the mRS (OR 2.21), were strong predictors of major NCD. When FI and mRS were entered as predictors simultaneously, the OR for mRS decreased relatively more than that for FI. AUC for NCD post-stroke was higher for FI than for mRS, both for major NCD (0.762 vs 0.677) and for any NCD (0.681 vs 0.638).
Conclusions
FI is a stronger predictor of post-stroke NCD than pre-stroke mRS and could be a part of the prediction models for cognitive prognosis post-stroke.
Trial Registration
ClinicalTrials.gov Identifier: NCT02650531.
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16
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Babiloni C, Arakaki X, Bonanni L, Bujan A, Carrillo MC, Del Percio C, Edelmayer RM, Egan G, Elahh FM, Evans A, Ferri R, Frisoni GB, Güntekin B, Hainsworth A, Hampel H, Jelic V, Jeong J, Kim DK, Kramberger M, Kumar S, Lizio R, Nobili F, Noce G, Puce A, Ritter P, Smit DJA, Soricelli A, Teipel S, Tucci F, Sachdev P, Valdes-Sosa M, Valdes-Sosa P, Vergallo A, Yener G. EEG measures for clinical research in major vascular cognitive impairment: recommendations by an expert panel. Neurobiol Aging 2021; 103:78-97. [PMID: 33845399 DOI: 10.1016/j.neurobiolaging.2021.03.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 02/17/2021] [Accepted: 03/05/2021] [Indexed: 11/22/2022]
Abstract
Vascular contribution to cognitive impairment (VCI) and dementia is related to etiologies that may affect the neurophysiological mechanisms regulating brain arousal and generating electroencephalographic (EEG) activity. A multidisciplinary expert panel reviewed the clinical literature and reached consensus about the EEG measures consistently found as abnormal in VCI patients with dementia. As compared to cognitively unimpaired individuals, those VCI patients showed (1) smaller amplitude of resting state alpha (8-12 Hz) rhythms dominant in posterior regions; (2) widespread increases in amplitude of delta (< 4 Hz) and theta (4-8 Hz) rhythms; and (3) delayed N200/P300 peak latencies in averaged event-related potentials, especially during the detection of auditory rare target stimuli requiring participants' responses in "oddball" paradigms. The expert panel formulated the following recommendations: (1) the above EEG measures are not specific for VCI and should not be used for its diagnosis; (2) they may be considered as "neural synchronization" biomarkers to enlighten the relationships between features of the VCI-related cerebrovascular lesions and abnormalities in neurophysiological brain mechanisms; and (3) they may be tested in future clinical trials as prognostic biomarkers and endpoints of interventions aimed at normalizing background brain excitability and vigilance in wakefulness.
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Affiliation(s)
- Claudio Babiloni
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy; San Raffaele Cassino, Cassino, FR, Italy.
| | | | - Laura Bonanni
- Department of Neuroscience Imaging and Clinical Sciences and CESI, University G D'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Ana Bujan
- Psychological Neuroscience Lab, School of Psychology, University of Minho, Portugal
| | | | - Claudio Del Percio
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy
| | | | - Gary Egan
- Foundation Director of the Monash Biomedical Imaging (MBI) research facilities, Monash University, Clayton, Australia
| | - Fanny M Elahh
- Memory and Aging Center, University of California, San Francisco
| | - Alan Evans
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | | | - Giovanni B Frisoni
- Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Bahar Güntekin
- Department of Biophysics, School of Medicine, Istanbul Medipol University, Istanbul, Turkey; REMER, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab, Istanbul Medipol University, Istanbul, Turkey
| | - Atticus Hainsworth
- University of London St George's Molecular and Clinical Sciences Research Institute, London, UK
| | - Harald Hampel
- Sorbonne University, GRC No. 21, Alzheimer Precision Medicine, Pitié-Salpêtrière Hospital, Paris, France
| | - Vesna Jelic
- Division of Clinical Geriatrics, NVS Department, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Jaeseung Jeong
- Department of Bio and Brain Engineering/Program of Brain and Cognitive Engineering Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
| | - Doh Kwan Kim
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Suwon, South Korea
| | - Milica Kramberger
- Center for cognitive and movement disorders, Department of neurology, University Medical Center Ljubljana, Slovenia
| | - Sanjeev Kumar
- Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | | | - Flavio Nobili
- Clinica neurologica, IRCCS Ospedale Policlinico San Martino, Genova, Italy; Dipartimento di Neuroscienze, Oftalmologia, Genetica, Riabilitazione e Scienze Materno-infantili (DiNOGMI)
| | | | - Aina Puce
- Department of Psychological and Brain Sciences at Indiana University in Bloomington, Indiana, USA
| | - Petra Ritter
- Brain Simulation Section, Department of Neurology, Charité Universitätsmedizin and Berlin Institute of Health, Berlin, Germany; Bernstein Center for Computational Neuroscience, Berlin, Germany
| | - Dirk J A Smit
- Department of Psychiatry Academisch Medisch Centrum Universiteit van Amsterdam, Amsterdam, the Netherlands
| | - Andrea Soricelli
- IRCCS SDN, Naples, Italy; Department of Motor Sciences and Healthiness, University of Naples Parthenope, Naples, Italy
| | - Stefan Teipel
- Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany; German Center for Neurodegenerative Diseases (DZNE) - Rostock/Greifswald, Rostock, Germany
| | - Federico Tucci
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales; Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, Australia
| | | | - Pedro Valdes-Sosa
- Cuban Neuroscience Center, Havana, Cuba; Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Andrea Vergallo
- Sorbonne University, GRC No. 21, Alzheimer Precision Medicine, Pitié-Salpêtrière Hospital, Paris, France
| | - Görsev Yener
- Izmir Biomedicine and Genome Center. Dokuz Eylul University Health Campus, Izmir, Turkey
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17
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Miller KL, Pedelty L, Testai FD. The relationship between heart disease and cognitive impairment. HANDBOOK OF CLINICAL NEUROLOGY 2021; 177:377-391. [PMID: 33632454 DOI: 10.1016/b978-0-12-819814-8.00023-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Neurodegenerative dementias, such as Alzheimer's disease, and vascular cognitive impairment were once considered unrelated processes. Emerging evidence, however, shows that both conditions often coexist and that vascular risk factors in midlife predispose to the development of cognitive decline later in older adults. In addition, recent advanced in basic science research have elucidated key underpinnings of this association. In this chapter, we review the clinical and basic science data that explain the relationship between vascular risk factors, heart disease, and cognitive decline.
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Affiliation(s)
- Kristin L Miller
- Department of Neurology and Rehabilitation, University of Illinois at Chicago, Chicago, IL, United States.
| | - Laura Pedelty
- Department of Neurology and Rehabilitation, University of Illinois at Chicago, Chicago, IL, United States
| | - Fernando D Testai
- Department of Neurology and Rehabilitation, University of Illinois at Chicago, Chicago, IL, United States
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18
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Munthe-Kaas R, Aam S, Saltvedt I, Wyller TB, Pendlebury ST, Lydersen S, Ihle-Hansen H. Test Accuracy of the Montreal Cognitive Assessment in Screening for Early Poststroke Neurocognitive Disorder: The Nor-COAST Study. Stroke 2020; 52:317-320. [PMID: 33250039 DOI: 10.1161/strokeaha.120.031030] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE We determined the diagnostic accuracy of the Montreal Cognitive Assessment (MoCA) for poststroke neurocognitive disorder defined according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, criteria in a prospective observational study. METHODS Consecutive participants able to complete a cognitive test battery and MoCA 3 months poststroke were included. The reference standard of neurocognitive disorder was defined as a score of ≥1.5 SD below the normative mean in ≥1 cognitive domain on the cognitive test battery. RESULTS Among 521 participants (43.6% women; mean age/SD, 71.5/12.0 years; mean education/SD, 12.4/3.8 years), the area under the receiver operating characteristic curve of MoCA for neurocognitive disorder was 0.80 (95% CI, 0.76-0.84). Using the standard MoCA cutoff <26, sensitivity was 0.71 (0.69-0.79) with specificity of 0.73 (0.66-0.76). MoCA cutoff of <27 gave higher sensitivity (0.82 [0.77-0.85]) at the expense of specificity (0.60 [0.53-0.66]). DISCUSSION MoCA has reasonable accuracy for poststroke neurocognitive disorder diagnosed using the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, criteria. Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT02650531.
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Affiliation(s)
- Ragnhild Munthe-Kaas
- Department of Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Drammen, Norway (R.M.-K., H.I.-H.).,Institute of Clinical Medicine, University of Oslo, Norway (R.M.-K., T.B.W., H.I.-H.)
| | - Stina Aam
- Department of Neuromedicine and Movement Science (S.A., I.S.).,Department of Geriatric Medicine, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Norway (S.A., I.S.)
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science (S.A., I.S.).,Department of Geriatric Medicine, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Norway (S.A., I.S.)
| | - Torgeir Bruun Wyller
- Institute of Clinical Medicine, University of Oslo, Norway (R.M.-K., T.B.W., H.I.-H.).,Department of Geriatric Medicine, Oslo University Hospital, Norway (T.B.W., H.I.-H.)
| | - Sarah T Pendlebury
- Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom (S.T.P.).,NIHR Biomedical Research Centre, Department of Acute Internal Medicine, and Department of Gerontology, John Radcliffe Hospital, Oxford, United Kingdom (S.T.P.)
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, NTNU-Norwegian University of Science and Technology, Trondheim, Norway (S.L.)
| | - Hege Ihle-Hansen
- Department of Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Drammen, Norway (R.M.-K., H.I.-H.).,Institute of Clinical Medicine, University of Oslo, Norway (R.M.-K., T.B.W., H.I.-H.).,Department of Geriatric Medicine, Oslo University Hospital, Norway (T.B.W., H.I.-H.)
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19
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Smith EE, Barber P, Field TS, Ganesh A, Hachinski V, Hogan DB, Lanctôt KL, Lindsay MP, Sharma M, Swartz RH, Ismail Z, Gauthier S, Black SE. Canadian Consensus Conference on Diagnosis and Treatment of Dementia (CCCDTD)5: Guidelines for management of vascular cognitive impairment. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2020; 6:e12056. [PMID: 33209971 PMCID: PMC7657196 DOI: 10.1002/trc2.12056] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 07/09/2020] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Vascular disease is a common cause of dementia, and often coexists with other brain pathologies such as Alzheimer's disease to cause mixed dementia. Many of the risk factors for vascular disease are treatable. Our objective was to review evidence for diagnosis and treatment of vascular cognitive impairment (VCI) to issue recommendations to clinicians. METHODS A subcommittee of the Canadian Consensus Conference on Diagnosis and Treatment of Dementia (CCCDTD) reviewed areas of emerging evidence. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system was used to assign the quality of the evidence and strength of the recommendations. RESULTS Using standardized diagnostic criteria, managing hypertension to conventional blood pressure targets, and reducing risk for stroke are strongly recommended. Intensive blood pressure lowering in middle-aged adults with vascular risk factors, using acetylsalicylic acid in persons with VCI and covert brain infarctions but not if only white matter lesions are present, and using cholinesterase inhibitors are weakly recommended. CONCLUSIONS The CCCDTD has provided evidence-based recommendations for diagnosis and management of VCI for use nationally in Canada, that may also be of use worldwide.
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Affiliation(s)
- Eric E. Smith
- Department of Clinical Neurosciences and Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada
| | - Philip Barber
- Department of Clinical Neurosciences and Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada
| | - Thalia S. Field
- Vancouver Stroke ProgramDjavad Mowafaghian Centre for Brain Health, Division of NeurologyUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Aravind Ganesh
- Department of Clinical NeurosciencesUniversity of CalgaryCalgaryAlbertaCanada
| | - Vladimir Hachinski
- Department of Clinical Neurological SciencesWestern UniversityLondonOntarioCanada
| | - David B. Hogan
- Department of Medicine and Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada
| | - Krista L. Lanctôt
- Department of Psychiatry and Hurvitz Brain Sciences Research ProgramSunnybrook Research Institute and Departments of Psychiatry and PharmacologyUniversity of TorontoTorontoOntarioCanada
| | | | - Mukul Sharma
- Department of Medicine (Neurology)Population Health Research InstituteMcMaster UniversityCanada
| | - Richard H. Swartz
- Department of Medicine (Neurology)Hurvitz Brain Sciences ProgramSunnybrook HSCUniversity of TorontoTorontoCanada
| | - Zahinoor Ismail
- Departments of PsychiatryClinical Neurosciences and Community Health SciencesHotchkiss Brain Institute and O'Brien Institute for Public HealthUniversity of CalgaryCalgaryCanada
| | - Serge Gauthier
- McGill Center for Studies in AgingMcGill UniversityMontrealCanada
| | - Sandra E. Black
- Department of Medicine (Neurology)Hurvitz Brain Sciences Research ProgramLC Campbell Cognitive Neurology UnitCanadian Partnership for Stroke RecoveryUniversity of TorontoTorontoCanada
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20
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Ismail Z, Black SE, Camicioli R, Chertkow H, Herrmann N, Laforce R, Montero‐Odasso M, Rockwood K, Rosa‐Neto P, Seitz D, Sivananthan S, Smith EE, Soucy J, Vedel I, Gauthier S. Recommendations of the 5th Canadian Consensus Conference on the diagnosis and treatment of dementia. Alzheimers Dement 2020; 16:1182-1195. [PMID: 32725777 PMCID: PMC7984031 DOI: 10.1002/alz.12105] [Citation(s) in RCA: 124] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 03/03/2020] [Accepted: 04/09/2020] [Indexed: 12/13/2022]
Abstract
Since 1989, four Canadian Consensus Conferences on the Diagnosis and Treatment of Dementia (CCCDTD) have provided evidence-based dementia guidelines for Canadian clinicians and researchers. We present the results of the 5th CCCDTD, which convened in October 2019, to address topics chosen by the steering committee to reflect advances in the field, and build on previous guidelines. Topics included: (1) utility of the National Institute on Aging research framework for clinical Alzheimer's disease (AD) diagnosis; (2) updating diagnostic criteria for vascular cognitive impairment, and its management; (3) dementia case finding and detection; (4) neuroimaging and fluid biomarkers in diagnosis; (5) use of non-cognitive markers of dementia for better dementia detection; (6) risk reduction/prevention; (7) psychosocial and non-pharmacological interventions; and (8) deprescription of medications used to treat dementia. We hope the guidelines are useful for clinicians, researchers, policy makers, and the lay public, to inform a current and evidence-based approach to dementia.
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Affiliation(s)
- Zahinoor Ismail
- Department of PsychiatryHotchkiss Brain Institute and O'Brien Institute for Public HealthUniversity of CalgaryCalgaryAlbertaCanada
| | - Sandra E. Black
- Department of Medicine (Neurology) Sunnybrook Health Sciences CentreUniversity of TorontoTorontoOntarioCanada
| | - Richard Camicioli
- Neuroscience and Mental Health InstituteUniversity of AlbertaEdmontonAlbertaCanada
| | - Howard Chertkow
- University of TorontoBaycrest Health SciencesTorontoOntarioCanada
| | | | - Robert Laforce
- Clinique Interdisciplinaire de MémoireDépartement des Sciences NeurologiquesCHU de Québec, and Faculté de MédecineUniversité LavalLavalQuébecCanada
| | - Manuel Montero‐Odasso
- Departments of Medicine, and Epidemiology and BiostatisticsUniversity of Western OntarioLondonOntarioCanada
- Gait and Brain Lab, Parkwood InstituteLondonOntarioCanada
| | | | - Pedro Rosa‐Neto
- Neurosurgery and PsychiatryMcGill Centre for Studies in AgingMontrealQuebecCanada
| | - Dallas Seitz
- Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada
| | | | - Eric E. Smith
- Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada
| | - Jean‐Paul Soucy
- McConnell Brain Imaging CentreMontreal Neurological InstituteMcGill UniversityPERFORM CentreConcordia UniversityMontrealQuebecCanada
| | - Isabelle Vedel
- Department of Family MedicineMcGill UniversityMontrealQuebecCanada
| | - Serge Gauthier
- Alzheimer Disease Research UnitMcGill Center for Studies in AgingMontrealQuebecCanada
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21
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Munthe‐Kaas R, Aam S, Ihle‐Hansen H, Lydersen S, Knapskog A, Wyller TB, Fure B, Thingstad P, Askim T, Beyer MK, Næss H, Seljeseth YM, Ellekjær H, Pendlebury ST, Saltvedt I. Impact of different methods defining post-stroke neurocognitive disorder: The Nor-COAST study. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2020; 6:e12000. [PMID: 32211505 PMCID: PMC7085256 DOI: 10.1002/trc2.12000] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 01/23/2020] [Accepted: 01/29/2020] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Post-stroke neurocognitive disorder (NCD) is common; prevalence varies between studies, partially related to lack of consensus on how to identify cases. The aim was to compare the prevalence of post-stroke NCD using only cognitive assessment (model A), DSM-5 criteria (model B), and the Global Deterioration Scale (model C) and to determine agreement among the three models. METHODS In the Norwegian Cognitive Impairment After Stroke study, 599 patients were assessed 3 months after suffering a stroke. RESULTS The prevalence of mild NCD varied from 174 (29%) in model B to 83 (14%) in model C; prevalence of major NCD varied from 249 (42%) in model A to 68 (11%) in model C. Cohen's kappa and Cohen's quadratic weighted kappa showed fair to very good agreement among models; the poorest agreement was found for identification of mild NCD. DISCUSSION The findings indicate a need for international harmonization to classify post-stroke NCD.
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Affiliation(s)
- Ragnhild Munthe‐Kaas
- Department of MedicineVestre Viken Hospital TrustBærum HospitalDrammenNorway
- Institute of Clinical MedicineUniversity of OsloNorway
| | - Stina Aam
- Department of Neuromedicine and Movement ScienceFaculty of Medicine and Health ScienceNTNU‐Norwegian University of Science and TechnologyTrondheimNorway
- Department of Geriatric MedicineSt. Olavs hospitalTrondheim University HospitalTrondheimNorway
| | - Hege Ihle‐Hansen
- Department of MedicineVestre Viken Hospital TrustBærum HospitalDrammenNorway
- Institute of Clinical MedicineUniversity of OsloNorway
- Department of Geriatric MedicineOslo University HospitalOsloNorway
| | - Stian Lydersen
- Department of Mental HealthFaculty of Medicine and Health ScienceNTNU‐Norwegian University of Science and TechnologyTrondheimNorway
| | | | - Torgeir Bruun Wyller
- Institute of Clinical MedicineUniversity of OsloNorway
- Department of Geriatric MedicineOslo University HospitalOsloNorway
| | - Brynjar Fure
- Department of Internal Medicine and Department of NeurologyCentral HospitalKarlstadSweden and School of Medical SciencesÖrebro UniversitySweden
| | - Pernille Thingstad
- Department of Neuromedicine and Movement ScienceFaculty of Medicine and Health ScienceNTNU‐Norwegian University of Science and TechnologyTrondheimNorway
| | - Torunn Askim
- Department of Neuromedicine and Movement ScienceFaculty of Medicine and Health ScienceNTNU‐Norwegian University of Science and TechnologyTrondheimNorway
| | - Mona K. Beyer
- Institute of Clinical MedicineUniversity of OsloNorway
- Department of Radiology and Nuclear MedicineOslo University HospitalOsloNorway
| | - Halvor Næss
- Department of NeurologyHaukeland University HospitalBergenNorway
- Centre for Age‐Related MedicineStavanger University HospitalStavangerNorway
- Institute of Clinical MedicineUniversity of BergenBergenNorway
| | - Yngve M. Seljeseth
- Medical DepartmentÅlesund HospitalMøre and Romsdal Health TrustÅlesundNorway
| | - Hanne Ellekjær
- Department of Neuromedicine and Movement ScienceFaculty of Medicine and Health ScienceNTNU‐Norwegian University of Science and TechnologyTrondheimNorway
- Stroke UnitDepartment of Internal MedicineSt. Olavs hospitalTrondheim University HospitalTrondheimNorway
| | - Sarah T. Pendlebury
- Centre for Prevention of Stroke and DementiaNuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Departments of Acute Internal Medicine and GerontologyJohn Radcliffe HospitalOxfordUK
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement ScienceFaculty of Medicine and Health ScienceNTNU‐Norwegian University of Science and TechnologyTrondheimNorway
- Department of Geriatric MedicineSt. Olavs hospitalTrondheim University HospitalTrondheimNorway
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22
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Hort J, Vališ M, Kuča K, Angelucci F. Vascular Cognitive Impairment: Information from Animal Models on the Pathogenic Mechanisms of Cognitive Deficits. Int J Mol Sci 2019; 20:E2405. [PMID: 31096580 PMCID: PMC6566630 DOI: 10.3390/ijms20102405] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 05/06/2019] [Accepted: 05/13/2019] [Indexed: 12/16/2022] Open
Abstract
Vascular cognitive impairment (VCI) is the second most common cause of cognitive deficit after Alzheimer's disease. Since VCI patients represent an important target population for prevention, an ongoing effort has been made to elucidate the pathogenesis of this disorder. In this review, we summarize the information from animal models on the molecular changes that occur in the brain during a cerebral vascular insult and ultimately lead to cognitive deficits in VCI. Animal models cannot effectively represent the complex clinical picture of VCI in humans. Nonetheless, they allow some understanding of the important molecular mechanisms leading to cognitive deficits. VCI may be caused by various mechanisms and metabolic pathways. The pathological mechanisms, in terms of cognitive deficits, may span from oxidative stress to vascular clearance of toxic waste products (such as amyloid beta) and from neuroinflammation to impaired function of microglia, astrocytes, pericytes, and endothelial cells. Impaired production of elements of the immune response, such as cytokines, and vascular factors, such as insulin-like growth factor 1 (IGF-1), may also affect cognitive functions. No single event could be seen as being the unique cause of cognitive deficits in VCI. These events are interconnected, and may produce cascade effects resulting in cognitive impairment.
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Affiliation(s)
- Jakub Hort
- Memory Clinic, Department of Neurology, 2nd Faculty of Medicine, Charles University and Motol University Hospital, 150 06 Prague, Czech Republic.
- International Clinical Research Centre, St. Anne's University Hospital, 656 91 Brno, Czech Republic.
| | - Martin Vališ
- Department of Neurology, University Hospital Hradec Králové, Charles University in Prague, Faculty of Medicine in Hradec Králové, Sokolská Street 581, 500 05 Hradec Králové, Czech Republic.
| | - Kamil Kuča
- Department of Chemistry, Faculty of Science, University of Hradec Kralove, 500 05 Hradec Kralove, Czech Republic.
| | - Francesco Angelucci
- Memory Clinic, Department of Neurology, 2nd Faculty of Medicine, Charles University and Motol University Hospital, 150 06 Prague, Czech Republic.
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