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Guo X, Hällström T, Johansson L, Najar J, Wetterberg H, Sacuiu S, Kern S, Skoog I. Midlife stress-related exhaustion and dementia incidence: a longitudinal study over 50 years in women. BMC Psychiatry 2024; 24:500. [PMID: 38992650 PMCID: PMC11238401 DOI: 10.1186/s12888-024-05868-z] [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: 01/30/2024] [Accepted: 05/27/2024] [Indexed: 07/13/2024] Open
Abstract
BACKGROUNDS Cognitive problems are common symptoms among individuals with stress-related exhaustion. It is still unknown whether these individuals are at a higher risk of developing dementia later. This study aims to examine the relationship between midlife stress-related exhaustion and dementia incidence. METHODS A population sample of 777 women (aged 38, 46, 50 and 54 years) without dementia at baseline was followed over 50 years, from 1968 to 2019. Stress-related exhaustion was based on information from the psychiatric examination in 1968/69. Information on dementia incidence between 1968 and 2019 was obtained from neuropsychiatric examinations, key-informant interviews, and hospital registry. Dementia was diagnosed according to the DSM-III-R criteria. A subgroup of non-demented women (n = 284) was examined for cognitive functions by the Gottfries-Bråne-Steen scale 24 years after baseline. RESULTS Stress-related exhaustion in midlife was associated with higher risk for development of dementia before age 75 (Hazard ratio and 95% confidence interval: 2.95 and 1.35-6.44). The association remained after adjustment for age, major depression, and anxiety disorder. Mean age of dementia onset was younger for women with stress-related exhaustion than women without stress (mean ± SD, 76 ± 9 vs. 82 ± 8 . p = 0.009). Women with stress-related exhaustion in midlife still showed more cognitive impairments 24 years later compared with women without stress (Odds ratio and 95% confidence interval: 2.64 and 1.15-6.06). CONCLUSIONS We found that women with stress-related exhaustion in midlife were at a higher risk to develop dementia at relatively younger age. These women showed persistently lower cognitive functions over years even without dementia. Present study results need to be interpreted with caution due to small sample size and should be confirmed in future studies with larger sample size. Our study findings may imply the importance of long-term follow-up regarding cognitive function among individuals with stress-related exhaustion.
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Affiliation(s)
- Xinxin Guo
- Neuropsychiatric Epidemiology, Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- Department of psychiatry, Affective Disorders, Sahlgrenska University Hospital, Gothenburg, Sweden.
| | - Tore Hällström
- Neuropsychiatric Epidemiology, Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lena Johansson
- Neuropsychiatric Epidemiology, Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jenna Najar
- Neuropsychiatric Epidemiology, Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of neuropsychiatry, Sahlgrenska University Hospital, Gothenburg, Sweden
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Human Genetics Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Hanna Wetterberg
- Infection medicine, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Simona Sacuiu
- Neuropsychiatric Epidemiology, Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Silke Kern
- Neuropsychiatric Epidemiology, Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of neuropsychiatry, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology, Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of neuropsychiatry, Sahlgrenska University Hospital, Gothenburg, Sweden
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Hu X, Wang J, Yang T, Jin J, Zeng Q, Aboubakri O, Feng XL, Li G, Huang J. Role of residential greenspace in the trajectory of major neurological disorders: A longitudinal study in UK Biobank. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168967. [PMID: 38042194 DOI: 10.1016/j.scitotenv.2023.168967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/26/2023] [Accepted: 11/26/2023] [Indexed: 12/04/2023]
Abstract
BACKGROUND Stroke and dementia are major neurological disorders that contribute significantly to disease burden and are interlinked in terms of risk. Nevertheless, there is currently no study investigating the influence of residential greenspace on the trajectory of these neurological disorders. METHODS This longitudinal study utilized data from the UK Biobank. Exposure to residential greenspace was measured by the percentage of total greenspace coverage within a 300-meter buffer zone surrounding the participants' residences. A multistate model was employed to illustrate the trajectory of major neurological disorders, and a piecewise Cox regression model was applied to explore the impact of residential greenspace on different time courses of disease transitions. RESULTS With 422,649 participants and a median follow-up period of 12.5 years, 8568 (2.0 %), 5648 (1.3 %), and 621 (0.1 %) individuals developed incident stroke, dementia, and comorbidity of both conditions, respectively. An increase in residential greenspace by one interquartile range was associated with reduced risks of transitions from baseline to stroke, dementia, and death, as well as from stroke to comorbidity. The corresponding hazard ratios (HRs) were 0.967 (95 % CI: 0.936, 0.998), 0.928 (0.892, 0.965), 0.925 (0.907, 0.942), and 0.799 (0.685, 0.933), respectively. Furthermore, the protective effect of residential greenspace on the transition from stroke or dementia to comorbidity was particularly pronounced within the first year and over 5 years after stroke and during the 2 to 3 years after dementia onset, with HRs of 0.692 (0.509, 0.941), 0.705 (0.542, 0.918), and 0.567 (0.339, 0.949), respectively. CONCLUSION This study observed a protective role of residential greenspace in the trajectory of major neurological disorders and contributed to identifying critical progression windows. These findings underscore the significance of environment-health interactions in the prevention of neurological disorders.
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Affiliation(s)
- Xin Hu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Jiawei Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Teng Yang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Jianbo Jin
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Qiang Zeng
- Institute of Occupational Disease Control and Prevention, Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - Omid Aboubakri
- Environmental Health Research Center, Kurdistan University of Medical Science, Sanandaj, Kurdistan 7616913555, Iran
| | - Xing Lin Feng
- Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; Environmental Research Group, Faculty of Medicine, School of Public Health, Imperial College, London W12 0BZ, UK.
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; Institute for Global Health and Development, Peking University, 5 Yiheyuan Road, Haidian District, Beijing 100871, China.
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Guo J, Gao B, Huang Y, Song S. Trajectory of multimorbidity before dementia: A 24-year follow-up study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12523. [PMID: 38213950 PMCID: PMC10781649 DOI: 10.1002/dad2.12523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 12/13/2023] [Accepted: 12/18/2023] [Indexed: 01/13/2024]
Abstract
INTRODUCTION Although the multimorbidity-dementia association has been widely addressed, little is known on the long-term trajectory of multimorbidity (TOM) in preclinical dementia. METHODS Based on the Health and Retirement Study, burden of multimorbidity was quantified with the total number of eight long-term conditions (LTC). Patterns of TOM before dementia diagnosis were investigated with mixed-effects models. RESULTS In 1752 dementia cases and 5256 matched controls, cases showed higher and faster increasing predicted number of LTC than controls, with a significant case-control difference from 20 years prior to dementia diagnosis. Larger increases in number of LTC during preclinical phase of dementia were found in White participants, females, those whose age at dementia onset was younger, and those who were less educated. DISCUSSION Our findings emphasize the faster accumulation of multimorbidity in prodromal dementia than in natural aging, as well as effect modifications by age and sex. Highlights TOM increased faster in prodromal dementia than in natural ageing.Patterns of TOM by dementia status diverged at 20 years before dementia diagnosis.Patterns of TOM were modified by age and sex.
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Affiliation(s)
- Jing Guo
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological DiseasesWomen's HospitalZhejiang University School of MedicineHangzhouChina
| | - Bin Gao
- Department of PsychiatryThe Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Yun Huang
- Key Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive EndocrinologyWomen's HospitalZhejiang University School of MedicineHangzhouChina
| | - Suhang Song
- Department of Health Policy and ManagementCollege of Public HealthUniversity of GeorgiaAthensGeorgiaUSA
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Wang J, Hu X, Yang T, Jin J, Hao J, Kelly FJ, Huang J, Li G. Ambient air pollution and the dynamic transitions of stroke and dementia: a population-based cohort study. EClinicalMedicine 2024; 67:102368. [PMID: 38169700 PMCID: PMC10758736 DOI: 10.1016/j.eclinm.2023.102368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/25/2023] [Accepted: 11/28/2023] [Indexed: 01/05/2024] Open
Abstract
Background Stroke and dementia are the leading causes of neurological disease burden. Detrimental effects of air pollution on both conditions are increasingly recognised, while the impacts on the dynamic transitions have not yet been explored, and whether critical time intervals exist is unknown. Methods This prospective study was conducted based on the UK Biobank. Annual average air pollution concentrations at baseline year 2010 estimated by land-use regression models were used as a proxy for long-term air pollution exposure. Associations between multiple air pollutants (PM2.5, PM2.5-10, and NO2) indicated by air pollution score and the dynamic transitions of stroke and dementia were estimated, and the impacts during critical time intervals were explored. The date cutoff of this study was February 29, 2020. Findings During a median follow-up of 10.9 years in 413,372 participants, 6484, 3813, and 376 participants developed incident stroke, dementia, and comorbidity of stroke and dementia. For the overall transition from stroke to comorbid dementia, the hazard ratio (HR) for each interquartile range (IQR) increase in air pollution score was 1.38 (95% CI, 1.15, 1.65), and the risks were limited to two time intervals (within 1 year and over 5 years after stroke). As for the transition from dementia to comorbid stroke, increased risk was only observed during 2-3 years after dementia. Interpretation Our findings suggested that air pollution played an important role in the dynamic transition of stroke and dementia even at concentrations below the current criteria. The findings provided new evidence for alleviating the disease burden of neurological disorders related to air pollution during critical time intervals. Funding The State Scholarship Fund of China Scholarship Council.
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Affiliation(s)
- Jiawei Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Xin Hu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Teng Yang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Jianbo Jin
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Junwei Hao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Frank J. Kelly
- Environmental Research Group, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
- Environmental Research Group, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
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Li N, Wang H, Liu H, Zhu L, Lyu Z, Qiu J, Zhao T, Ren H, Huang L, Chen S, Hu X, Zhou L. The effects and mechanisms of acupuncture for post-stroke cognitive impairment: progress and prospects. Front Neurosci 2023; 17:1211044. [PMID: 37397457 PMCID: PMC10309044 DOI: 10.3389/fnins.2023.1211044] [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: 04/24/2023] [Accepted: 05/30/2023] [Indexed: 07/04/2023] Open
Abstract
Stroke is one of the important causes of both disability and death worldwide, which is very common in older adults. Post-stroke cognitive impairment (PSCI) is a common secondary damage of stroke, which is the main cause of long-term disability and decreased quality of life in stroke patients, which brings a heavy burden to society and families. Acupuncture, as one of the oldest and widely used worldwide techniques in Chinese medicine, is recommended by the World Health Organization (WHO) as an alternative and complementary strategy for improving stroke care. This review comprehensively summarizes literature from the last 25 years, showing that acupuncture can exert strong beneficial effect on PSCI. The mechanisms of acupuncture on PSCI involves anti-neuronal apoptosis, promoting synaptic plasticity, alleviating central and peripheral inflammatory reactions, and regulating brain energy metabolism disorders (including improving cerebral blood flow, glucose utilization and mitochondrial structure and function, etc.), etc. The effects and mechanisms of acupuncture on PSCI reviewed in this study provides scientific and reliable evidence for acupuncture application for PSCI.
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Affiliation(s)
- Ningcen Li
- Research Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Binhai New Area Hospital of TCM, Fourth Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Hui Wang
- Xi’an Hospital of Traditional Chinese Medicine, Xi’an, Shanxi, China
| | - Hang Liu
- Acupuncture and Moxibustion Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, Nanchang, Jiangxi, China
- Acupuncture and Moxibustion Medical Clinical Research Center of Jiangxi Province, Nanchang, Jiangxi, China
| | - Lina Zhu
- Acupuncture and Moxibustion Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, Nanchang, Jiangxi, China
- Acupuncture and Moxibustion Medical Clinical Research Center of Jiangxi Province, Nanchang, Jiangxi, China
| | - Zhongxi Lyu
- Research Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jiwen Qiu
- Research Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Tianyi Zhao
- Research Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Haiyan Ren
- Research Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Lihong Huang
- Research Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shuangli Chen
- Research Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xiuwu Hu
- Acupuncture and Moxibustion Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, Nanchang, Jiangxi, China
- Acupuncture and Moxibustion Medical Clinical Research Center of Jiangxi Province, Nanchang, Jiangxi, China
| | - Liang Zhou
- Acupuncture and Moxibustion Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, Nanchang, Jiangxi, China
- Acupuncture and Moxibustion Medical Clinical Research Center of Jiangxi Province, Nanchang, Jiangxi, China
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Das TK, Ganesh BP, Fatima-Shad K. Common Signaling Pathways Involved in Alzheimer's Disease and Stroke: Two Faces of the Same Coin. J Alzheimers Dis Rep 2023; 7:381-398. [PMID: 37220617 PMCID: PMC10200243 DOI: 10.3233/adr-220108] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 04/03/2023] [Indexed: 05/25/2023] Open
Abstract
Alzheimer's disease (AD) and stroke are two interrelated neurodegenerative disorders which are the leading cause of death and affect the neurons in the brain and central nervous system. Although amyloid-β aggregation, tau hyperphosphorylation, and inflammation are the hallmarks of AD, the exact cause and origin of AD are still undefined. Recent enormous fundamental discoveries suggest that the amyloid hypothesis of AD has not been proven and anti-amyloid therapies that remove amyloid deposition have not yet slowed cognitive decline. However, stroke, mainly ischemic stroke (IS), is caused by an interruption in the cerebral blood flow. Significant features of both disorders are the disruption of neuronal circuitry at different levels of cellular signaling, leading to the death of neurons and glial cells in the brain. Therefore, it is necessary to find out the common molecular mechanisms of these two diseases to understand their etiological connections. Here, we summarized the most common signaling cascades including autotoxicity, ApoE4, insulin signaling, inflammation, mTOR-autophagy, notch signaling, and microbiota-gut-brain axis, present in both AD and IS. These targeted signaling pathways reveal a better understanding of AD and IS and could provide a distinguished platform to develop improved therapeutics for these diseases.
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Affiliation(s)
- Tushar Kanti Das
- Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Bhanu Priya Ganesh
- Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kaneez Fatima-Shad
- School of Life Sciences, University of Technology Sydney, NSW, Australia
- Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia
- School of Behavioral and Health Sciences, Faculty of Health Sciences, Australian Catholic University, NSW, Australia
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Rydén L, Wetterberg H, Ahlner F, Falk Erhag H, Gudmundsson P, Guo X, Joas E, Johansson L, Kern S, Mellqvist Fässberg M, Najar J, Ribbe M, Rydberg Sterner T, Sacuiu S, Samuelsson J, Sigström R, Skoog J, Waern M, Zettergren A, Skoog I. Attrition in the Gothenburg H70 birth cohort studies, an 18-year follow-up of the 1930 cohort. FRONTIERS IN EPIDEMIOLOGY 2023; 3:1151519. [PMID: 38455909 PMCID: PMC10910926 DOI: 10.3389/fepid.2023.1151519] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 04/17/2023] [Indexed: 03/09/2024]
Abstract
Background Longitudinal studies are essential to understand the ageing process, and risk factors and consequences for disorders, but attrition may cause selection bias and impact generalizability. We describe the 1930 cohort of the Gothenburg H70 Birth Cohort Studies, followed from age 70 to 88, and compare baseline characteristics for those who continue participation with those who die, refuse, and drop out for any reason during follow-up. Methods A population-based sample born 1930 was examined with comprehensive assessments at age 70 (N = 524). The sample was followed up and extended to increase sample size at age 75 (N = 767). Subsequent follow-ups were conducted at ages 79, 85, and 88. Logistic regression was used to analyze baseline characteristics in relation to participation status at follow-up. Results Refusal to participate in subsequent examinations was related to lower educational level, higher blood pressure, and lower scores on cognitive tests. Both attrition due to death and total attrition were associated with male sex, lower educational level, smoking, ADL dependency, several diseases, poorer lung function, slower gait speed, lower scores on cognitive tests, depressive symptoms, and a larger number of medications. Attrition due to death was also associated with not having a partner. Conclusions It is important to consider different types of attrition when interpreting results from longitudinal studies, as representativeness and results may be differently affected by different types of attrition. Besides reducing barriers to participation, methods such as imputation and weighted analyses can be used to handle selection bias.
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Affiliation(s)
- Lina Rydén
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Hanna Wetterberg
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Felicia Ahlner
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Hanna Falk Erhag
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Pia Gudmundsson
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Xinxin Guo
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Department of Mood Disorders, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Erik Joas
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Lena Johansson
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Madeleine Mellqvist Fässberg
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Jenna Najar
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Mats Ribbe
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Therese Rydberg Sterner
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Simona Sacuiu
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jessica Samuelsson
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Robert Sigström
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Johan Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Margda Waern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Department of Psychiatry, Psychotic Disorders, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Anna Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Psychiatry, Cognition and Old Age Psychiatry Clinic, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
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Sundarakumar JS, Menesgere AL, Jain S, Hameed SKS, Ravindranath V. Prevalence of neuropsychiatric conditions and cognitive impairment in two parallel, aging study cohorts from rural and urban India. Alzheimers Dement 2022. [PMID: 36573020 DOI: 10.1002/alz.12741] [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: 10/27/2021] [Revised: 03/24/2022] [Accepted: 05/18/2022] [Indexed: 12/28/2022]
Abstract
INTRODUCTION With the rising proportion of the elderly in India, the burden of neuropsychiatric conditions and cognitive impairment is escalating. METHODS Baseline data of cognitively healthy subjects ≥45 years of age, from two longitudinal, aging cohorts in rural (n = 3262) and urban (n = 693) India, were used to calculate prevalence of depression, early-life stressful events, stroke, head injury, and cognitive impairment. RESULTS Depression prevalence was significantly higher in rural than urban subjects, with female preponderance in both groups. Early life stressor (parental death) and head injury were significantly more common in rural than in urban India, whereas stroke was more in urban India. There was no significant difference in overall prevalence of cognitive impairment between the rural and urban cohorts; however, women had higher prevalence than men in rural, whereas this was reverse in urban subjects. Depression and stroke were significantly associated with cognitive impairment in the rural cohort. DISCUSSION Longitudinal assessment of these neuropsychiatric conditions, with parallel cognitive monitoring, will help identify their causal relationship with dementia.
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Affiliation(s)
| | | | - Shubham Jain
- Centre for Brain Research, Indian Institute of Science, Bangalore, India
| | - Shafeeq K S Hameed
- Centre for Brain Research, Indian Institute of Science, Bangalore, India
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- Centre for Brain Research, Indian Institute of Science, Bangalore, India
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9
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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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10
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Outcomes of conventional pacemaker implantation in patients with dementia: insights from the National Readmission Database. J Interv Card Electrophysiol 2022; 64:559-561. [PMID: 35672620 DOI: 10.1007/s10840-022-01265-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 06/01/2022] [Indexed: 10/18/2022]
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11
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Heshmatollah A, Fani L, Koudstaal PJ, Ghanbari M, Ikram MA, Ikram MK. Plasma Amyloid Beta, Total-Tau and Neurofilament Light Chain Levels and the Risk of Stroke: A Prospective Population-Based Study. Neurology 2022; 98:e1729-e1737. [PMID: 35232820 DOI: 10.1212/wnl.0000000000200004] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 01/03/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES To unravel whether Alzheimer's disease-related pathology or neurodegeneration play a role in stroke etiology, we determined the effect of plasma levels amyloid β (Aβ), total-tau and neurofilament light chain (NfL) on risk of stroke and its subtypes. METHODS Between 2002 and 2005, we measured plasma Aβ40, Aβ42, total-tau, and NfL in 4,661 stroke-free participants from the population-based Rotterdam Study. We used Cox proportional-hazards models to determine the association between these markers with incident stroke for the entire cohort, per stroke subtype, and by median age, sex, Apolipoprotein E (APOE) ε4 carriership, and education. RESULTS After a mean follow-up of 10.8 ± 3.3 years, 379 participants suffered a first-ever stroke. Log2 total-tau at baseline showed a non-linear association with risk of any stroke and ischemic stroke: compared to the first (lowest) quartile the adjusted hazard ratio for the highest quartile total-tau was 1.68, 95% CI: 1.18-2.40 for any stroke. Log2 NfL was associated with an increased risk of any stroke (HR per SD increase 1.27, 95% CI: 1.12-1.44), ischemic stroke, and hemorrhagic stroke (HR 1.56, 95% CI: 1.14-2.12). Log2 Aβ40, Aβ42, and Aβ42/40 ratio levels were not associated with stroke risk.Discussion Participants with higher total-tau and NfL at baseline had a higher risk of stroke and several stroke subtypes. These findings support the role of markers of neurodegeneration in the etiology of stroke. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that higher plasma levels of total-tau and NfL are associated with an increased risk of subsequent stroke.
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Affiliation(s)
- Alis Heshmatollah
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Lana Fani
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Peter J Koudstaal
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
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12
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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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13
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Gong J, Harris K, Tzourio C, Harrap S, Naismith S, Anderson CS, Chalmers J, Woodward M. Sex differences in predictors for cognitive decline and dementia in people with stroke or transient ischemic attack in the PROGRESS trial. Int J Stroke 2021; 17:17474930211059298. [PMID: 34791978 DOI: 10.1177/17474930211059298] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Stroke and transient ischemic attack confer greater risk of cognitive decline and dementia. AIMS We used data from the Perindopril Protection Against Recurrent Stroke Study (PROGRESS), a blood pressure-lowering randomized controlled trial in stroke/transient ischemic attack. We evaluated overall and sex-specific differences in treatment effects for cognitive decline/dementia, as well as associations with vascular and stroke-specific predictors,considering death as a competing risk. METHODS Multinomial logistic regression was used to estimate overall and sex-specific odds ratios (OR) (95% confidence intervals (CI)) for treatment effects and predictors associated with the risk of cognitive decline/dementia, and the women-to-men ratio of odds ratio (RORs). RESULTS Over a median four years, 763 cognitive decline/dementia (30.9% women) were recorded in 5888 participants. Women had lower odds of cognitive decline/dementia than men (OR 0.78, 95%CI 0.63-0.95). Active treatment was associated with lower odds of cognitive decline/dementia (0.84, 0.72-0.98), with no evidence of sex difference. Higher education (0.96,0.94-0.98 (per year)) and baseline Mini-Mental State Examination (MMSE)) were associated with lower odds of cognitive decline/dementia (0.84,0.82-0.86 (per point higher)). Higher diastolic blood pressure (1.11,1.02-1.20 (per 10 mmHg)), low estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2 (1.27,1.03-1.58), and peripheral arterial disease (1.78,1.26-2.52) were associated with higher odds of cognitive decline/dementia. APOE ɛ4 was not associated with cognitive decline/dementia (1.05 (0.85-1.30)). Low eGFR was more strongly associated with cognitive decline/dementia in women than men (RORs, 1.60 (1.03-2.48)). Diabetes was more strongly associated with men than women. CONCLUSIONS Several risk factors were associated with cognitive decline/dementia in people with prior stroke/transient ischemic attack, with notable sex differences. Long-term cognitive sequelae of stroke should be considered to strengthen joint prevention strategies for stroke, cognitive decline, and dementia.Trial Registration: This trial was not registered because enrolment began before 1 July 2005.
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Affiliation(s)
- Jessica Gong
- George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Katie Harris
- George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Christophe Tzourio
- Bordeaux Population Health Research Center, Bordeaux University, INSERM, Bordeaux, France
- Hospital Center Bordeaux University, Bordeaux, France
| | - Stephen Harrap
- Department of Physiology, University of Melbourne, Melbourne, Australia
| | - Sharon Naismith
- School of Psychology, University of Sydney, Sydney, Australia
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Craig S Anderson
- George Institute China, Peking University Health Science Center, Beijing, China
- Neurology Department, Royal Prince Alfred Hospital, Sydney Health Partners, Sydney, Australia
- Heart Health Research Center, Beijing, China
| | - John Chalmers
- George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Mark Woodward
- George Institute for Global Health, University of New South Wales, Sydney, Australia
- George Institute for Global Health, Imperial College London, London, UK
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14
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Rydén L, Sacuiu S, Wetterberg H, Najar J, Guo X, Kern S, Zettergren A, Shams S, Pereira JB, Wahlund LO, Westman E, Skoog I. Atrial Fibrillation, Stroke, and Silent Cerebrovascular Disease: A Population-based MRI Study. Neurology 2021; 97:e1608-e1619. [PMID: 34521692 PMCID: PMC8548961 DOI: 10.1212/wnl.0000000000012675] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 07/27/2021] [Indexed: 11/18/2022] Open
Abstract
Background and Objectives Atrial fibrillation (AF) has been associated with cognitive decline and dementia. However, the mechanisms behind these associations are not clear. Examination of cerebrovascular pathology on MRI may shed light on how AF affects the brain. This study aimed to determine whether AF is associated with a broad range of cerebrovascular diseases beyond the well-known association with symptomatic stroke, including silent infarcts and markers of small vessel disease, i.e., cerebral microbleeds (CMBs), white matter hyperintensities (WMHs), and lacunes, in a population-based sample of 70-year-olds. Methods Data were obtained from the Gothenburg H70 Birth Cohort Studies, in which individuals are invited based on birthdate. This study has a cross-sectional design and includes individuals born in 1944 who underwent structural brain MRI in 2014 to 2017. AF diagnoses were based on self-report, ECG, and register data. Symptomatic stroke was based on self-report, proxy interviews, and register data. Brain infarcts and CMBs were assessed by a radiologist. WMH volumes were measured on fluid-attenuated inversion recovery images with the Lesion Segmentation Tool. Multivariable logistic regression was used to study the association between AF and infarcts/CMBs, and multivariable linear regression was used to study the association between AF and WMHs. Results A total of 776 individuals were included, and 65 (8.4%) had AF. AF was associated with symptomatic stroke (odds ratio [OR] 4.5, 95% confidence interval [CI] 2.1–9.5) and MRI findings of large infarcts (OR 5.0, 95% CI 1.5–15.9), lacunes (OR 2.7, 95% CI 1.2–5.6), and silent brain infarcts (OR 3.5; 95% CI 1.6–7.4). Among those with symptomatic stroke, individuals with AF had larger WMH volumes (0.0137 mL/total intracranial volume [TIV], 95% CI 0.0074–0.0252) compared to those without AF (0.0043 mL/TIV, 95% CI 0.0029–0.0064). There was no association between AF and WMH volumes among those without symptomatic stroke. In addition, AF was associated to CMBs in the frontal lobe. Discussion AF was associated with a broad range of cerebrovascular pathologies. Further research is needed to establish whether cerebrovascular MRI markers can be added to current treatment guidelines to further personalize anticoagulant treatment in patients with AF and to further characterize the pathogenetic processes underlying the associations between AF and cerebrovascular diseases, as well as dementia.
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Affiliation(s)
- Lina Rydén
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden.
| | - Simona Sacuiu
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Hanna Wetterberg
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Jenna Najar
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Xinxin Guo
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Silke Kern
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Anna Zettergren
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Sara Shams
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Joana B Pereira
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Lars-Olof Wahlund
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Eric Westman
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Ingmar Skoog
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
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15
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Wu Y, Zheng H, Liu Z, Wang S, Liu Y, Hu S. Dementia-Free Life Expectancy among People over 60 Years Old by Sex, Urban and Rural Areas in Jiangxi Province, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17165665. [PMID: 32764485 PMCID: PMC7460506 DOI: 10.3390/ijerph17165665] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 07/29/2020] [Accepted: 08/03/2020] [Indexed: 11/16/2022]
Abstract
Objective: To estimate and compare the dementia-free life expectancy (DemFLE) and age trends of the population over 60 in 2018 in Jiangxi Province, China, by sex and urban–rural areas. Methods: Based on the Summary of Health Statistics of Jiangxi Province in 2018 and the Sixth National Health Service survey of Jiangxi Province, the model life table is used to estimate the age-specific mortality rate by sex and urban–rural areas. DemFLE and its ratio to life expectancy (LE) were calculated using the Sullivan method. Results: In 2018, the DemFLE at age 60 was 18.48 years for men and 21.31 years for women, accounting for 96.62% and 96.67% of their LE. LE and DemFLE were higher for those in urban areas than in rural areas, except for men aged 90 and above; higher in women than in men, except for people in rural areas aged 90 and above. In urban areas, DemFLE/LE was higher for women than for men; the opposite was observed in rural areas. Urban women had a higher DemFLE/LE than rural women did, urban men had a lower DemFLE/LE than rural men did. Conclusions: With increased LE, DemFLE also increases, but with older age and over time, DemFLE/LE gradually decreases. The effect of dementia on elderly adults becomes more serious. It is necessary for the government to implement a series of prevention strategies to improve the quality of life and health awareness of the elderly. Elderly urban men and elderly rural women need more attention and health care.
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16
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Kandasamy M, Anusuyadevi M, Aigner KM, Unger MS, Kniewallner KM, de Sousa DMB, Altendorfer B, Mrowetz H, Bogdahn U, Aigner L. TGF-β Signaling: A Therapeutic Target to Reinstate Regenerative Plasticity in Vascular Dementia? Aging Dis 2020; 11:828-850. [PMID: 32765949 PMCID: PMC7390515 DOI: 10.14336/ad.2020.0222] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 02/22/2020] [Indexed: 12/11/2022] Open
Abstract
Vascular dementia (VaD) is the second leading form of memory loss after Alzheimer's disease (AD). Currently, there is no cure available. The etiology, pathophysiology and clinical manifestations of VaD are extremely heterogeneous, but the impaired cerebral blood flow (CBF) represents a common denominator of VaD. The latter might be the result of atherosclerosis, amyloid angiopathy, microbleeding and micro-strokes, together causing blood-brain barrier (BBB) dysfunction and vessel leakage, collectively originating from the consequence of hypertension, one of the main risk factors for VaD. At the histopathological level, VaD displays abnormal vascular remodeling, endothelial cell death, string vessel formation, pericyte responses, fibrosis, astrogliosis, sclerosis, microglia activation, neuroinflammation, demyelination, white matter lesions, deprivation of synapses and neuronal loss. The transforming growth factor (TGF) β has been identified as one of the key molecular factors involved in the aforementioned various pathological aspects. Thus, targeting TGF-β signaling in the brain might be a promising therapeutic strategy to mitigate vascular pathology and improve cognitive functions in patients with VaD. This review revisits the recent understanding of the role of TGF-β in VaD and associated pathological hallmarks. It further explores the potential to modulate certain aspects of VaD pathology by targeting TGF-β signaling.
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Affiliation(s)
- Mahesh Kandasamy
- Laboratory of Stem Cells and Neuroregeneration, Department of Animal Science, School of Life Sciences, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India.
- Faculty Recharge Programme, University Grants Commission (UGC-FRP), New Delhi, India.
| | - Muthuswamy Anusuyadevi
- Molecular Gerontology Group, Department of Biochemistry, School of Life Sciences, Bharathidhasan University, Tiruchirappalli, Tamil Nadu, India.
| | - Kiera M Aigner
- Institute of Molecular Regenerative Medicine, Salzburg, Paracelsus Medical University.
- Spinal Cord Injury and Tissue Regeneration Center, Salzburg, Paracelsus Medical University, Salzburg, Austria.
| | - Michael S Unger
- Institute of Molecular Regenerative Medicine, Salzburg, Paracelsus Medical University.
- Spinal Cord Injury and Tissue Regeneration Center, Salzburg, Paracelsus Medical University, Salzburg, Austria.
| | - Kathrin M Kniewallner
- Institute of Molecular Regenerative Medicine, Salzburg, Paracelsus Medical University.
- Spinal Cord Injury and Tissue Regeneration Center, Salzburg, Paracelsus Medical University, Salzburg, Austria.
| | - Diana M Bessa de Sousa
- Institute of Molecular Regenerative Medicine, Salzburg, Paracelsus Medical University.
- Spinal Cord Injury and Tissue Regeneration Center, Salzburg, Paracelsus Medical University, Salzburg, Austria.
| | - Barbara Altendorfer
- Institute of Molecular Regenerative Medicine, Salzburg, Paracelsus Medical University.
- Spinal Cord Injury and Tissue Regeneration Center, Salzburg, Paracelsus Medical University, Salzburg, Austria.
| | - Heike Mrowetz
- Institute of Molecular Regenerative Medicine, Salzburg, Paracelsus Medical University.
- Spinal Cord Injury and Tissue Regeneration Center, Salzburg, Paracelsus Medical University, Salzburg, Austria.
| | - Ulrich Bogdahn
- Institute of Molecular Regenerative Medicine, Salzburg, Paracelsus Medical University.
- Spinal Cord Injury and Tissue Regeneration Center, Salzburg, Paracelsus Medical University, Salzburg, Austria.
- Velvio GmbH, Regensburg, Germany.
| | - Ludwig Aigner
- Institute of Molecular Regenerative Medicine, Salzburg, Paracelsus Medical University.
- Spinal Cord Injury and Tissue Regeneration Center, Salzburg, Paracelsus Medical University, Salzburg, Austria.
- Austrian Cluster for Tissue Regeneration, Vienna, Austria
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17
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Hachinski V. The convergence of stroke and dementia. ARQUIVOS DE NEURO-PSIQUIATRIA 2019; 76:849-852. [PMID: 30698209 DOI: 10.1590/0004-282x20180148] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 11/09/2018] [Indexed: 12/28/2022]
Abstract
Neurological disorders account for the most Disability Adjusted Life Years (DALY's) -of the Global Burden of Disease (10%). More than half of neurological DALY's result from the combination of stroke (42%) and dementia (10%). The two pose risk for each other and share the same predisposing factors. A stroke doubles the risk of dementia. The close interactions call for convergent approaches. Stroke and dementia also converge at the microscopic level. The neurovascular unit has emerged as a key organizational structure of the brain. Involvement of any of its elements affects all the others. Thus, neurodegeneration impairs the microcirculation and disturbances of the microcirculation accelerate neurodegeneration. Evolving technologies allow "in vivo" imaging of the usual mixture of vascular and neurodegenerative pathology of the elderly that makes them prone to stroke and dementia. Since they occur together, they should be prevented together with a multimodal approach of lifestyle changes and mechanistic therapeutic targets. The two fields are also converging at the policy level. The World Stroke Organization has updated its Proclamation to include potentially preventable dementias that has been endorsed by Alzheimer Disease International, The World Federation of Neurology, the American Academy of Neurology and 20 international, regional and national organizations. Those interested in stroke and those dealing with dementia should work together where they can, differ where they must, with the common aim of preventing jointly, both stroke and dementia.
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Affiliation(s)
- Vladimir Hachinski
- Western University, Department of Clinical Neurological Sciences, London, Ontario, Canada
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18
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Rydén L, Zettergren A, Seidu NM, Guo X, Kern S, Blennow K, Zetterberg H, Sacuiu S, Skoog I. Atrial fibrillation increases the risk of dementia amongst older adults even in the absence of stroke. J Intern Med 2019; 286:101-110. [PMID: 30895641 DOI: 10.1111/joim.12902] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Atrial fibrillation increases risk of stroke, and thus risk of cognitive impairment and dementia. Emerging evidence suggests an association also in the absence of stroke. We aimed to examine the association between atrial fibrillation and incident dementia, with and without exclusion of individuals with stroke, and if sex and genetic factors modify the possible association. METHODS In 2000-2001, a population-based sample of 70-year-olds (N = 561) underwent comprehensive somatic and neuropsychiatric examinations, as part of the Gothenburg H70 Birth Cohort Studies. Participants were followed up at age 75 and 79. Atrial fibrillation at baseline was identified through ECG, proxy-reports and the National Patient Register (NPR). Stroke at baseline and follow-up was identified through self-reports, proxy-reports and the NPR. Dementia at baseline and follow-up was diagnosed according to the DSM-III-R criteria based on neuropsychiatric examinations, proxy-reports and the NPR. RESULTS Individuals with atrial fibrillation had an almost threefold increased risk of dementia during 12-year follow-up (HR 2.8; 95% CI 1.3-5.7; P = 0.004), and this risk remained after excluding individuals with stroke at baseline and follow-up. After stratification for sex, the association was only found amongst men (HR 4.6; 95% CI 1.9-11.2; P < 0.001, interaction sex*atrial fibrillation; P = 0.047) and noncarriers of the APOE ε4 allele (HR 4.2; 95% CI 1.8-9.7; P < 0.001, interaction APOE*atrial fibrillation; P = 0.128). Population attributable risk for dementia resulting from atrial fibrillation was 13%. CONCLUSION The relevance for atrial fibrillation as an indicator of subclinical brain vascular risk needs to be further explored. In addition, patients with atrial fibrillation should be screened for cognitive symptoms.
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Affiliation(s)
- L Rydén
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - A Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - N M Seidu
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - X Guo
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - S Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - K Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - H Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, UK.,UK Dementia Research Institute at UCL, London, UK
| | - S Sacuiu
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - I Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
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19
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Turana Y, Tengkawan J, Chia YC, Hoshide S, Shin J, Chen CH, Buranakitjaroen P, Nailes J, Park S, Siddique S, Sison J, Ann Soenarta A, Chin Tay J, Sogunuru GP, Zhang Y, Wang JG, Kario K. Hypertension and Dementia: A comprehensive review from the HOPE Asia Network. J Clin Hypertens (Greenwich) 2019; 21:1091-1098. [PMID: 31131972 DOI: 10.1111/jch.13558] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 04/15/2019] [Accepted: 04/29/2019] [Indexed: 02/05/2023]
Abstract
Approximately 365 million people in Asia were classified as elderly in 2017. This number is rising and expected to reach approximately 520 million by 2030. The risk of hypertension and cognitive impairment/dementia increases with age. Recent data also show that the prevalence of hypertension and age-related dementia are rising in Asian countries. Moreover, not many people in Asian countries are aware of the relationship between hypertension and cognitive impairment/dementia. Furthermore, hypertension control is poorer in Asia than in developed countries. Hypertension is known to be a major risk factor for damage to target organs, including the brain. Decreased cognitive function can indicate the presence of target organ damage in the brain. Twenty-four-hour blood pressure profiles and blood pressure variability have been associated with cognitive impairment and/or silent cerebral diseases, such as silent cerebral infarction or white matter lesions, which are predisposing conditions for cognitive impairment and dementia. Hypertension that occurs in midlife also affects the incidence of cognitive impairments in later life. Managing and controlling blood pressure could preserve cognitive functions, such as by reducing the risk of vascular dementia and by reducing the global burden of stroke, which also affects cognitive function.
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Affiliation(s)
- Yuda Turana
- Faculty of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | - Jeslyn Tengkawan
- Faculty of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | - Yook Chin Chia
- Department of Medical Sciences, School of Healthcare and Medical Sciences, Sunway University, Subang Jaya, Malaysia
| | - Satoshi Hoshide
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan
| | - Jinho Shin
- Faculty of Cardiology Service, Hanyang University Medical Center, Seoul, Korea
| | - Chen-Huan Chen
- Department of Medicine, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Peera Buranakitjaroen
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Jennifer Nailes
- University of the East Ramon Magsaysay Memorial Medical Center Inc, Quezon City, Philippines
| | - Sungha Park
- Division of Cardiology, Cardiovascular Hospital, Yonsei Health System, Seoul, Korea
| | | | - Jorge Sison
- Section of Cardiology, Department of Medicine, Medical Center Manila, Manila, Philippines
| | - Arieska Ann Soenarta
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, University of Indonesia-National Cardiovascular Center, Harapan Kita, Jakarta, Indonesia
| | - Jam Chin Tay
- Department of General Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - Guru Prasad Sogunuru
- MIOT International Hospital, Chennai, India.,College of Medical Sciences, Kathmandu University, Bharatpur, Nepal
| | - Yuqing Zhang
- Divisions of Hypertension and Heart Failure, Fu Wai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ji-Guang Wang
- Department of Hypertension, Centre for Epidemiological Studies and Clinical Trials, The Shanghai Institute of Hypertension, Shanghai Key Laboratory of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Kazuomi Kario
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan
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