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Beigh S, Adnan R, Abdulaziz AJ, Abdullah S, Nasser N, Ghazzay R, Abdulaziz R, Mohammed E, Ahmad RM, Ali Alshehri M. Dementia and Multimorbidity Trends in Al-Baha, Saudi Arabia: An Analytical Retrospective Study Using Records-Based Data. Cureus 2024; 16:e52507. [PMID: 38371043 PMCID: PMC10874241 DOI: 10.7759/cureus.52507] [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] [Accepted: 01/18/2024] [Indexed: 02/20/2024] Open
Abstract
BACKGROUND The prevalence of dementia is escalating significantly, posing a substantial societal burden. Currently, there exists a dearth of comprehensive health data about dementia patients in Saudi Arabia, particularly within Al-Baha City. METHODS A retrospective case-series study was undertaken to ascertain the prevalence of dementia within the populace of the Al-Baha region, Kingdom of Saudi Arabia. This investigation utilized hospital-based records encompassing individuals exhibiting symptoms or diagnosed with dementia and its related forms across the Al-Baha region. Furthermore, the study aimed to evaluate the burden of comorbidities among dementia patients and document the pharmacological therapeutic interventions administered to manage dementia and its associated concurrent health conditions. RESULTS Our investigation explored the prevalence rates of various forms of dementia and the accompanying comorbidities among affected individuals. The study spanned from August 2020 to August 2023. Our study encompassed 407 patients diagnosed with Alzheimer's disease (AD), Parkinson's disease, vascular dementia (VaD), or other forms of dementia who were either admitted to or attended tertiary hospitals in Al-Baha. Assessment of the comorbidity burden was conducted using the Charlson Comorbidity Index (CCI). Our findings revealed that among these patients, 13.3% presented with AD, 23.6% with VaD, 33.4% with Parkinson's disease, 15.75% with amnesia, and 14.0% with other types of dementia. The spectrum of comorbidities observed among dementia patients encompassed various conditions, with diabetes mellitus emerging as the predominant comorbidity (19.1%), followed by hypertension (16.4%). Additionally, manifestations of depression were noted in 14% of patients, while 9.82% suffered from paralysis. Chronic conditions such as cancer, chronic obstructive pulmonary disorder (COPD), and cervical spondylosis were also observed among individuals afflicted with dementia and its varied forms. Statistically significant correlations were established between gender, age, nationality, comorbidities, and the prevalence of dementia. Therapeutic interventions in the form of pharmacological treatments were prescribed for dementia patients with comorbidities. Commonly administered medications included Amlod (6.3%), Amlodipine (6.6%), Amlor (5.8%), Aspirin (10.5%), chemotherapeutic drugs (4.4%), Glipizide (8.5%), Lantus (11.3%), Levodopa (23.5%), Metformin (7.8%), acetylcholinesterase inhibitors (6.8%), and Pulmicort (7.86%). These medications aimed to alleviate symptoms associated with dementia and its accompanying comorbidities. CONCLUSIONS Our investigation underscores the substantial burden of comorbidities experienced by dementia patients. These findings offer crucial insights into the overall health status of individuals grappling with dementia, serving as a catalyst for increased awareness among clinicians and policymakers. Such awareness can drive improvements in medical care and support frameworks tailored to the specific needs of dementia patients.
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Affiliation(s)
- Saba Beigh
- Public Health, Albaha University, Al-Baha, SAU
| | - Remas Adnan
- Public Health, Albaha University, Al-Baha, SAU
| | | | | | - Nada Nasser
- Public Health, Albaha University, Al-Baha, SAU
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Khat'kova SE, Pogorel'tseva OA. [Algorithms for the diagnosis and treatment of cognitive impairment and dysphagia in stroke patients]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:100-107. [PMID: 38696158 DOI: 10.17116/jnevro2024124042100] [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: 06/01/2024]
Abstract
Stroke is a socially significant neurological disease, the second most common cause of disability and mortality. A wide range of neurological problems that occur after stroke: cognitive, motor, speech, and language disfunction, neuropsychiatric, swallowing disorders and others, complicate rehabilitation, impair social and everyday adaptation, and reduce the quality of life of patients and their caregivers. Cognitive impairment (CI) is one of the most significant and common complications of stroke. Stroke increases the risk of their development by 5-8 times. Dysphagia is also a common symptom of stroke, the cause of aspiration complications (pneumonia), and nutritional imbalance. It increases the possibility of developing CI and dementia, and contributes to an increase in mortality. Older adults with CI are at a higher risk of developing dysphagia, therefore the early symptoms of dysphagia (presbyphagia) should be diagnosed. In recent years, the connection between CI and dysphagia has been actively studied. It is extremely important to identify CI and swallowing disorders as early as possible in patients both before and at all stages after stroke; as well as to develop combined multidisciplinary protocols for the rehabilitation of patients with these disorders with pharmacological support for the process.
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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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Mazumdar D, Singh S. Diabetic Encephalopathy: Role of Oxidative and Nitrosative Factors in Type 2 Diabetes. Indian J Clin Biochem 2024; 39:3-17. [PMID: 38223005 PMCID: PMC10784252 DOI: 10.1007/s12291-022-01107-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022]
Abstract
Diabetes mellitus is a set of complex metabolic disorders characterized by chronic hyperglycaemic condition due to defective insulin secretion (Type 1) and action (Type 2), which leads to serious micro and macro-vascular damage, inflammation, oxidative and nitrosative stress and a deranged energy homeostasis due to imbalance in the glucose and lipid metabolism. Moreover, patient with diabetes mellitus often showed the nervous system disorders known as diabetic encephalopathy. The precise pathological mechanism of diabetic encephalopathy by which it effects the central nervous system directly or indirectly causing the cognitive and motor impairment, is not completely understood. However, it has been speculated that like other extracerebellar tissues, oxidative and nitrosative stress may play significant role in the pathogenesis of diabetic encephalopathy. Therefore, the present review aimed to explain the possible association of the oxidative and nitrosative stress caused by the chronic hyperglycaemic condition with the central nervous system complications of the type 2 diabetes mellitus induced diabetic encephalopathy.
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Affiliation(s)
- Debashree Mazumdar
- Biochemistry and Molecular Biology Laboratory, Department of Zoology, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur, Chhattisgarh 495009 India
| | - Santosh Singh
- Biochemistry and Molecular Biology Laboratory, Department of Zoology, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur, Chhattisgarh 495009 India
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Goodman GW, Do TH, Tan C, Ritzel RM. Drivers of Chronic Pathology Following Ischemic Stroke: A Descriptive Review. Cell Mol Neurobiol 2023; 44:7. [PMID: 38112809 DOI: 10.1007/s10571-023-01437-2] [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: 08/22/2023] [Accepted: 11/25/2023] [Indexed: 12/21/2023]
Abstract
Stroke is the third leading cause of death and long-term disability in the world. Considered largely a disease of aging, its global economic and healthcare burden is expected to rise as more people survive into advanced age. With recent advances in acute stroke management, including the expansion of time windows for treatment with intravenous thrombolysis and mechanical thrombectomy, we are likely to see an increase in survival rates. It is therefore critically important to understand the complete pathophysiology of ischemic stroke, both in the acute and subacute stages and during the chronic phase in the months and years following an ischemic event. One of the most clinically relevant aspects of the chronic sequelae of stroke is its extended negative effect on cognition. Cognitive impairment may be related to the deterioration and dysfunctional reorganization of white matter seen at later timepoints after stroke, as well as ongoing progressive neurodegeneration. The vasculature of the brain also undergoes significant insult and remodeling following stroke, undergoing changes which may further contribute to chronic stroke pathology. While inflammation and the immune response are well established drivers of acute stroke pathology, the chronicity and functional role of innate and adaptive immune responses in the post-ischemic brain and in the peripheral environment remain largely uncharacterized. In this review, we summarize the current literature on post-stroke injury progression, its chronic pathological features, and the putative secondary injury mechanisms underlying the development of cognitive impairment and dementia. We present findings from clinical and experimental studies and discuss the long-term effects of ischemic stroke on both brain anatomy and functional outcome. Identifying mechanisms that occur months to years after injury could lead to treatment strategies in the chronic phase of stroke to help mitigate stroke-associated cognitive decline in patients.
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Affiliation(s)
- Grant W Goodman
- Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Trang H Do
- Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Chunfeng Tan
- Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Rodney M Ritzel
- Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
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Braun AE, Cowan JE, Hampson LA, Broering JM, Suskind AM, Carroll PR. Association Between Common Urologic Medications and Onset of Alzheimer's Disease and Related Dementias in Men With Prostate Cancer Managed by Different Primary Treatment Modalities. Urology 2023; 182:161-167. [PMID: 37689247 DOI: 10.1016/j.urology.2023.08.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 08/14/2023] [Accepted: 08/23/2023] [Indexed: 09/11/2023]
Abstract
OBJECTIVE To understand the relationship between common urologic medications phosphodiesterase-5 inhibitors (PDE5i) and anticholinergics (AC) and risk of dementia onset in men who underwent different primary treatments for prostate cancer. MATERIALS AND METHODS Patients (>50years) with prostate cancer (1998-2022) without Alzheimer's disease or related dementias were selected from Cancer of the Prostatic Strategic Urologic Research Endeavor Registry. Minimum medication use was 3months. Fine-Gray regression was performed to determine the association between medication exposure and dementia onset ≥12months after primary treatment in men matched on age, race, comorbid conditions, smoking, and type of clinical site, with competing risk of death. RESULTS Among 5937 men (53% PDE5i; 14% AC), PDE5i users were younger (63 vs 70, P < .01) with less CAD, CVA, DM (all P < .01); AC users were older (68 vs 66, P < .01) with higher incidence of comorbidities (P < .01). Median months of use was 24.3 (IQR 12.1, 48.7) for PDE5i and 12.2 (IQR 6.1, 24.3) for AC users. Cumulative incidence of Alzheimer's disease or related dementias was 6.5% at 15years. PDE5i (P = .07) and AC (P = .06) were not associated with dementia regardless of primary treatment modality. CONCLUSION In this retrospective cohort study, PDE5i and AC use do not appear independently associated with risk of dementia. Notably, our cohort was generally healthy and younger which may limit our ability to detect significance. We recommend prospective investigation into association between PDE5i and dementia and advise continued judicious stewardship of AC in older patient populations.
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Affiliation(s)
- A E Braun
- Department of Urology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA.
| | - J E Cowan
- Department of Urology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA.
| | - L A Hampson
- Department of Urology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA
| | - J M Broering
- Department of Urology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA; Department of Surgery, University of California, San Francisco, CA
| | - A M Suskind
- Department of Urology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA
| | - P R Carroll
- Department of Urology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA.
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Imahori Y, Vetrano DL, Ljungman P, Laukka EJ, Wu J, Grande G, Rizzuto D, Fratiglioni L, Qiu C. Association of ischemic heart disease with long-term risk of cognitive decline and dementia: A cohort study. Alzheimers Dement 2023; 19:5541-5549. [PMID: 37249150 DOI: 10.1002/alz.13114] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 03/30/2023] [Accepted: 04/03/2023] [Indexed: 05/31/2023]
Abstract
INTRODUCTION The independent and joint effect of ischemic heart disease (IHD) and coexisting atrial fibrillation (AF) and heart failure (HF) on dementia risk is largely unknown. METHODS This population-based cohort study included 2568 dementia-free participants (age ≥60 years) in SNAC-K, who were regularly examined from 2001-2004 through 2013-2016. Dementia was diagnosed following the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) criteria. Global cognitive function was assessed using a global cognitive composite z-score derived from five cognitive domains. Data were analyzed using Cox, Fine-Gray, and linear mixed-effects models. RESULTS Overall, IHD at baseline was associated with multivariable-adjusted hazard ratio (HR) of 1.39 (95% confidence interval = 1.06-1.82) for dementia and multivariable-adjusted β-coefficient of -0.02 (-0.03 to -0.01) for annual changes in global cognitive z-score, independent of AF, HF, and cerebrovascular disease. Coexisting AF or HF did not add further risk to dementia and cognitive decline. DISCUSSION IHD is independently associated with dementia and cognitive decline in older adults, whereas coexisting AF/HF is not associated with an increased risk. HIGHLIGHTS Is a history of ischemic heart disease (IHD) associated with a risk for dementia? How do coexisting heart diseases affect this association? IHD was an independent risk factor for dementia in older adults. This association was independent of coexisting heart and cerebrovascular diseases. The coexistence of heart diseases did not confer additional risk for dementia.
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Affiliation(s)
- Yume Imahori
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
| | - Davide L Vetrano
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Danderyd Hospital, Stockholm, Sweden
| | - Erika J Laukka
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Jing Wu
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
| | - Giulia Grande
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Laura Fratiglioni
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Chengxuan Qiu
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
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Vestergaard SB, Dahm CC, Gottrup H, Valentin JB, Johnsen SP, Andersen G, Mortensen JK. Intravenous thrombolysis for acute ischemic stroke is associated with lower risk of post-stroke dementia: A nationwide cohort study. Eur Stroke J 2023; 8:947-955. [PMID: 37665134 PMCID: PMC10683737 DOI: 10.1177/23969873231197530] [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: 06/16/2023] [Accepted: 08/09/2023] [Indexed: 09/05/2023] Open
Abstract
INTRODUCTION Dementia after stroke is common and is a great concern for patients and their caregivers. The objective was to investigate if intravenous thrombolysis (IVT) for acute ischemic stroke (AIS) was associated with lower risk of dementia after stroke. PATIENTS AND METHODS When IVT was introduced in Denmark, not all eligible patients were treated due to restricted access. We conducted a nationwide register-based cohort study of all patients with AIS in Denmark from 2004 to 2011. IVT-treated patients were propensity score-matched with comparable non-treated patients. Cox proportional hazards regression was used to estimate the hazard ratio (HR) for all-cause and vascular dementia 2, 5, and 10 years after stroke. RESULTS Of the 5919 patients eligible for the study, 2305 IVT-treated patients were propensity score-matched with 2305 non-treated patients. Mean (SD) age was 66.6 (13.3) and 61.2% were male. Rate of all-cause dementia was lower for the IVT-treated 2 years (8.4/1000 person years (PY) vs 13.6/1000 PY, HR 0.63 (0.40-0.99)) and 5 years after stroke (7.3/1000 PY vs 11.4/1000 PY, HR 0.65 (0.46-0.91)). 10 years after stroke, the rates of all-cause dementia remained in favor of IVT (8.0/1000 PY vs 9.8/1000 PY, HR 0.83 (0.64-1.07)). IVT-treated had lower rates of vascular dementia 2 years (2.4/1000 PY vs 7.4/1000 PY, HR 0.33 (0.15-0.71)), 5 years (2.3/1000 PY vs 6.2/1000 PY, HR 0.38 (0.23-0.65)), and 10 years after stroke (3.0/1000 PY vs 5.4/1000 PY, HR 0.56 (0.38-0.81)). CONCLUSION IVT treatment was associated with lower long-term risk of both vascular and all-cause dementia after AIS.
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Affiliation(s)
- Sigrid Breinholt Vestergaard
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | | | - Hanne Gottrup
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Jan Brink Valentin
- Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University & Aalborg University Hospital, Aalborg, Denmark
| | - Søren Paaske Johnsen
- Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University & Aalborg University Hospital, Aalborg, Denmark
| | - Grethe Andersen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Janne Kærgård Mortensen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
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Sherlock L, Lee SF, Katsanos AH, Cukierman-Yaffe T, Canavan M, Joundi R, Sharma M, Shoamanesh A, Brayne C, Gerstein HC, O'Donnell MJ, Muniz-Terrera G, Yusuf S, Bosch J, Whiteley WN. Cognitive performance following stroke, transient ischaemic attack, myocardial infarction, and hospitalisation: an individual participant data meta-analysis of six randomised controlled trials. THE LANCET. HEALTHY LONGEVITY 2023; 4:e665-e674. [PMID: 38042159 DOI: 10.1016/s2666-7568(23)00207-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 09/26/2023] [Accepted: 09/27/2023] [Indexed: 12/04/2023] Open
Abstract
BACKGROUND Survivors of stroke are often concerned about cognitive problems, and information on the risk of cognitive problems often comes from small studies. We aimed to estimate years of cognitive ageing associated with stroke compared with transient ischaemic attack, myocardial infarction, and other hospitalisations in a large population. METHODS Using data from six randomised controlled trials (ORIGIN, ONTARGET, TRANSCEND, COMPASS, HOPE-3, and NAVIGATE ESUS), we completed an individual participant data meta-analysis using data requested from the Public Health Research Institute to estimate the association of stroke (by type and severity), transient ischaemic attack, myocardial infarction, and other hospitalisations with cognitive performance measured at the end of each trial. We included participants in any of these randomised controlled trials with a cognitive assessment at baseline and at least one other timepoint. Cognitive performance was measured with the Mini-Mental State Examination or the Montreal Cognitive Assessment, transformed into Z scores. We estimated Z score differences in end of trial cognitive performance between people with and without events and calculated corresponding years of cognitive ageing in these trials, and additionally calculated using a population representative cohort-the Cognitive Function and Ageing Study. FINDINGS In 64 106 participants from 55 countries, compared with no event, stroke was associated with 18 years of cognitive ageing (1487 strokes included in the model, 95% CI 10 to 28; p<0·0001) and transient ischaemic attack with 3 years (660 transient ischaemic attacks included in the model, 0 to 6; p=0·021). Myocardial infarction (p=0·60) and other hospitalisations (p=0·26) were not associated with cognitive ageing. The mean difference in SD compared with people without an event was -0·84 (95% CI -0·91 to -0·76; p<0·0001) for disabling stroke, and -0·12 (-0·19 to -0·05; p=0·0012) for non-disabling stroke. Haemorrhagic stroke was associated with worse cognition (-0·75, -0·95 to -0·55; p<0·0001) than ischaemic stroke (-0·42, -0·48 to -0·36; p <0·0001). INTERPRETATION Stroke has a substantial effect on cognition. The effects of transient ischaemic attack were small, whereas myocardial infarction and hospitalisation had a neutral effect. Prevention of stroke could lead to a reduction in cognitive ageing in those at greatest risk. FUNDING Population Health Research Institute and Chief Scientist Office of Scotland.
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Affiliation(s)
- Laura Sherlock
- Population Health Research Institute, Hamilton, ON, Canada; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Shun Fu Lee
- Population Health Research Institute, Hamilton, ON, Canada
| | - Aristeidis H Katsanos
- Population Health Research Institute, Hamilton, ON, Canada; Department of Medicine-Neurology, McMaster University, Hamilton, ON, Canada
| | - Tali Cukierman-Yaffe
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, School of Public Health, Tel Aviv University, Tel-Aviv, Israel; Division of Endocrinology and Metabolism, Sheba Medical Center, Ramat Gan, Israel
| | - Michelle Canavan
- HRB-Clinical Research Facility, National University of Ireland, Galway, Ireland; Department of Geriatric and Stroke Medicine, Galway University Hospital, Galway, Ireland
| | - Raed Joundi
- Population Health Research Institute, Hamilton, ON, Canada; Department of Medicine-Neurology, McMaster University, Hamilton, ON, Canada
| | - Mukul Sharma
- Population Health Research Institute, Hamilton, ON, Canada; Department of Medicine-Neurology, McMaster University, Hamilton, ON, Canada
| | - Ashkan Shoamanesh
- Population Health Research Institute, Hamilton, ON, Canada; Department of Medicine-Neurology, McMaster University, Hamilton, ON, Canada
| | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Hertzel C Gerstein
- Population Health Research Institute, Hamilton, ON, Canada; Department of Medicine-Neurology, McMaster University, Hamilton, ON, Canada; Hamilton Health Sciences, Hamilton, ON, Canada
| | - Martin J O'Donnell
- Population Health Research Institute, Hamilton, ON, Canada; HRB-Clinical Research Facility, National University of Ireland, Galway, Ireland; Department of Geriatric and Stroke Medicine, Galway University Hospital, Galway, Ireland
| | - Graciela Muniz-Terrera
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Department of Social Medicine, Ohio University, OH, USA
| | - Salim Yusuf
- Population Health Research Institute, Hamilton, ON, Canada; Department of Medicine-Cardiology, McMaster University, Hamilton, ON, Canada
| | - Jackie Bosch
- Population Health Research Institute, Hamilton, ON, Canada; School of Rehabilitation Science, McMaster University, Hamilton, ON, Canada
| | - William N Whiteley
- Population Health Research Institute, Hamilton, ON, Canada; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Nuffield Department of Population Health, University of Oxford, Oxford, UK.
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Newby D, Orgeta V, Marshall CR, Lourida I, Albertyn CP, Tamburin S, Raymont V, Veldsman M, Koychev I, Bauermeister S, Weisman D, Foote IF, Bucholc M, Leist AK, Tang EYH, Tai XY, Llewellyn DJ, Ranson JM. Artificial intelligence for dementia prevention. Alzheimers Dement 2023; 19:5952-5969. [PMID: 37837420 PMCID: PMC10843720 DOI: 10.1002/alz.13463] [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: 04/12/2023] [Revised: 08/01/2023] [Accepted: 08/07/2023] [Indexed: 10/16/2023]
Abstract
INTRODUCTION A wide range of modifiable risk factors for dementia have been identified. Considerable debate remains about these risk factors, possible interactions between them or with genetic risk, and causality, and how they can help in clinical trial recruitment and drug development. Artificial intelligence (AI) and machine learning (ML) may refine understanding. METHODS ML approaches are being developed in dementia prevention. We discuss exemplar uses and evaluate the current applications and limitations in the dementia prevention field. RESULTS Risk-profiling tools may help identify high-risk populations for clinical trials; however, their performance needs improvement. New risk-profiling and trial-recruitment tools underpinned by ML models may be effective in reducing costs and improving future trials. ML can inform drug-repurposing efforts and prioritization of disease-modifying therapeutics. DISCUSSION ML is not yet widely used but has considerable potential to enhance precision in dementia prevention. HIGHLIGHTS Artificial intelligence (AI) is not widely used in the dementia prevention field. Risk-profiling tools are not used in clinical practice. Causal insights are needed to understand risk factors over the lifespan. AI will help personalize risk-management tools for dementia prevention. AI could target specific patient groups that will benefit most for clinical trials.
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Affiliation(s)
- Danielle Newby
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Vasiliki Orgeta
- Division of Psychiatry, University College London, London, W1T 7BN, UK
| | - Charles R Marshall
- Preventive Neurology Unit, Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, E1 4NS, UK
- Department of Neurology, Royal London Hospital, London, E1 1BB, UK
| | - Ilianna Lourida
- Population Health Sciences Institute, Newcastle University, Newcastle, NE2 4AX, UK
- University of Exeter Medical School, Exeter, EX1 2HZ, UK
| | - Christopher P Albertyn
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 8AF, UK
| | - Stefano Tamburin
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, 37129, Italy
| | - Vanessa Raymont
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Michele Veldsman
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, OX3 9DU, UK
- Department of Experimental Psychology, University of Oxford, Oxford, OX2 6GG, UK
| | - Ivan Koychev
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Sarah Bauermeister
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX, UK
| | - David Weisman
- Abington Neurological Associates, Abington, PA 19001, USA
| | - Isabelle F Foote
- Preventive Neurology Unit, Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, E1 4NS, UK
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Magda Bucholc
- Cognitive Analytics Research Lab, School of Computing, Engineering & Intelligent Systems, Ulster University, Derry, BT48 7JL, UK
| | - Anja K Leist
- Institute for Research on Socio-Economic Inequality (IRSEI), Department of Social Sciences, University of Luxembourg, L-4365, Luxembourg
| | - Eugene Y H Tang
- Population Health Sciences Institute, Newcastle University, Newcastle, NE2 4AX, UK
| | - Xin You Tai
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, OX3 9DU, UK
- Division of Clinical Neurology, John Radcliffe Hospital, Oxford University Hospitals Trust, Oxford, OX3 9DU, UK
| | | | - David J. Llewellyn
- University of Exeter Medical School, Exeter, EX1 2HZ, UK
- The Alan Turing Institute, London, NW1 2DB, UK
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Wevers NR, De Vries HE. Microfluidic models of the neurovascular unit: a translational view. Fluids Barriers CNS 2023; 20:86. [PMID: 38008744 PMCID: PMC10680291 DOI: 10.1186/s12987-023-00490-9] [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: 07/14/2023] [Accepted: 11/15/2023] [Indexed: 11/28/2023] Open
Abstract
The vasculature of the brain consists of specialized endothelial cells that form a blood-brain barrier (BBB). This barrier, in conjunction with supporting cell types, forms the neurovascular unit (NVU). The NVU restricts the passage of certain substances from the bloodstream while selectively permitting essential nutrients and molecules to enter the brain. This protective role is crucial for optimal brain function, but presents a significant obstacle in treating neurological conditions, necessitating chemical modifications or advanced drug delivery methods for most drugs to cross the NVU. A deeper understanding of NVU in health and disease will aid in the identification of new therapeutic targets and drug delivery strategies for improved treatment of neurological disorders.To achieve this goal, we need models that reflect the human BBB and NVU in health and disease. Although animal models of the brain's vasculature have proven valuable, they are often of limited translational relevance due to interspecies differences or inability to faithfully mimic human disease conditions. For this reason, human in vitro models are essential to improve our understanding of the brain's vasculature under healthy and diseased conditions. This review delves into the advancements in in vitro modeling of the BBB and NVU, with a particular focus on microfluidic models. After providing a historical overview of the field, we shift our focus to recent developments, offering insights into the latest achievements and their associated constraints. We briefly examine the importance of chip materials and methods to facilitate fluid flow, emphasizing their critical roles in achieving the necessary throughput for the integration of microfluidic models into routine experimentation. Subsequently, we highlight the recent strides made in enhancing the biological complexity of microfluidic NVU models and propose recommendations for elevating the biological relevance of future iterations.Importantly, the NVU is an intricate structure and it is improbable that any model will fully encompass all its aspects. Fit-for-purpose models offer a valuable compromise between physiological relevance and ease-of-use and hold the future of NVU modeling: as simple as possible, as complex as needed.
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Affiliation(s)
- Nienke R Wevers
- MIMETAS BV, De Limes 7, Oegstgeest, 2342 DH, The Netherlands.
| | - Helga E De Vries
- Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam Neuroscience - Neuroinfection and Neuroinflammation, De Boelelaan 1117, Amsterdam, the Netherlands
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Cavaillès C, Andrews SJ, Leng Y, Chatterjee A, Daghlas I, Yaffe K. Causal Associations of Sleep Apnea with Alzheimer's Disease and Cardiovascular Disease: a Bidirectional Mendelian Randomization Analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.20.23298793. [PMID: 38045267 PMCID: PMC10690337 DOI: 10.1101/2023.11.20.23298793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Background Sleep apnea (SA) has been linked to an increased risk of dementia in numerous observational studies; whether this is driven by neurodegenerative, vascular or other mechanisms is not clear. We sought to examine the bidirectional causal relationships between SA, Alzheimer's disease (AD), coronary artery disease (CAD), and ischemic stroke using Mendelian randomization (MR). Methods Using summary statistics from four recent, large genome-wide association studies of SA (n=523,366), AD (n=64,437), CAD (n=1,165,690), and stroke (n=1,308,460), we conducted bidirectional two-sample MR analyses. Our primary analytic method was fixed-effects inverse variance weighted MR; diagnostics tests and sensitivity analyses were conducted to verify the robustness of the results. Results We identified a significant causal effect of SA on the risk of CAD (odds ratio (OR IVW ) =1.35 per log-odds increase in SA liability, 95% confidence interval (CI) =1.25-1.47) and stroke (OR IVW =1.13, 95% CI =1.01-1.25). These associations were somewhat attenuated after excluding single-nucleotide polymorphisms associated with body mass index (BMI) (OR IVW =1.26, 95% CI =1.15-1.39 for CAD risk; OR IVW =1.08, 95% CI =0.96-1.22 for stroke risk). SA was not causally associated with a higher risk of AD (OR IVW =1.14, 95% CI =0.91-1.43). We did not find causal effects of AD, CAD, or stroke on risk of SA. Conclusions These results suggest that SA increased the risk of CAD, and the identified causal association with stroke risk may be confounded by BMI. Moreover, no causal effect of SA on AD risk was found. Future studies are warranted to investigate cardiovascular pathways between sleep disorders, including SA, and dementia.
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Vishwanath S, Hopper I, Chowdhury E, Wolfe R, Freak-Poli R, Reid CM, Tonkin AM, Murray AM, Shah RC, Chong TTJ, Woods RL, McNeil J, Orchard SG, Nelson MR, Steves CJ, Ryan J. Cardiovascular Disease Risk Scores and Incident Dementia and Cognitive Decline in Older Men and Women. Gerontology 2023; 70:143-154. [PMID: 37984339 PMCID: PMC10866179 DOI: 10.1159/000535284] [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: 05/23/2023] [Accepted: 11/11/2023] [Indexed: 11/22/2023] Open
Abstract
INTRODUCTION Risk factors for cardiovascular disease (CVD) also increase the risk of dementia. However, whether commonly used CVD risk scores are associated with dementia risk in older adults who do not have a history of CVD, and potential gender differences in this association, remains unclear. The aim of this study was to determine whether CVD risk scores are prospectively associated with cognitive decline and dementia in initially healthy older men and women. METHODS A total of19,114 participants from a prospective cohort of individuals aged 65+ years without known CVD or dementia were recruited. The atherosclerotic cardiovascular disease risk score (ASCVDRS), Systematic Coronary Risk Evaluation 2-Older Persons (SCORE2-OP), and the Framingham risk score (FRS) were calculated at baseline. Risk of dementia (according to DSM-IV criteria) and cognitive decline (defined as a >1.5 standard deviation decline in global cognition, episodic memory, psychomotor speed, or verbal fluency from the previous year) were assessed using hazard ratio. RESULTS Over a median follow-up of 6.4 years, 850 individuals developed dementia and 4,352 cognitive decline. Men and women in the highest ASCVDRS tertile had a 41% (95% CI 1.08, 1.85) and 45% (1.11, 1.89) increased risk of dementia compared to the lowest tertile, respectively. Likewise, men and women in the highest SCORE2-OP tertile had a 64% (1.24, 2.16) and 60% (1.22, 2.11) increased risk of dementia compared to the lowest tertile, respectively. Findings were similar, but the risk was slightly lesser when examining risk of cognitive decline for both ASCVDRS and SCORE2-OP. However, FRS was only associated with the risk of cognitive decline among women (highest vs. lowest tertiles: 1.13 [1.01-1.26]). CONCLUSION These findings suggest the utility of the ASCVDRS and SCORE2-OP in clinical practice, to not only assess future risk of CVD, but also as potential early indicators of cognitive impairment, even in relatively healthy older men and women.
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Affiliation(s)
- Swarna Vishwanath
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia,
| | - Ingrid Hopper
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Cardiology and General Medicine Unit, Alfred Health, Melbourne, Victoria, Australia
| | - Enayet Chowdhury
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- GenesisCare, Leabrook, South Australia, Australia
| | - Rory Wolfe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Rosanne Freak-Poli
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Christopher M Reid
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- School of Public Health, Curtin University, Bentley, Washington, Australia
| | - Andrew M Tonkin
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Anne M Murray
- Berman Center for Outcomes and Clinical Research, Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA
- Department of Medicine, Division of Geriatrics Hennepin Healthcare, University of Minnesota, Minneapolis, Minnesota, USA
| | - Raj C Shah
- Department of Family and Preventive Medicine and the Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Trevor T-J Chong
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
- Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
- Department of Clinical Neurosciences, St. Vincent's Hospital, Melbourne, Victoria, Australia
| | - Robyn L Woods
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - John McNeil
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Suzanne G Orchard
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Mark R Nelson
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Claire J Steves
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Ageing and Health, Guy's and St Thomas's NHS Foundation Trust, London, UK
| | - Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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Xiong S, Hou N, Tang F, Li J, Deng H. Association of cardiometabolic multimorbidity and adherence to a healthy lifestyle with incident dementia: a large prospective cohort study. Diabetol Metab Syndr 2023; 15:208. [PMID: 37876001 PMCID: PMC10594816 DOI: 10.1186/s13098-023-01186-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 10/09/2023] [Indexed: 10/26/2023] Open
Abstract
BACKGROUND The co-occurrence of cardiometabolic diseases (CMDs) is increasingly prevalent and has been associated with an additive risk of dementia in older adults, but the extent to which this risk can be offset by a healthy lifestyle is unknown. We aimed to examine the associations of cardiometabolic multimorbidity and lifestyle with incident dementia and related brain structural changes. METHODS This prospective study extracted health and lifestyle data from 171 538 UK Biobank participants aged 60 years or older without dementia at baseline between 2006 and 2010 and followed up until July 2021, as well as brain structural data in a nested imaging subsample of 11 972 participants. Cardiometabolic multimorbidity was defined as the presence of two or more CMDs among type 2 diabetes, coronary heart disease, stroke, and hypertension. Lifestyle patterns were determined based on 7 modifiable lifestyle factors including smoking, alcohol consumption, physical activity, diet, sleep duration, sedentary behavior, and social contact. RESULTS Over a median follow-up of 12.3 years, 4479 (2.6%) participants developed dementia. The presence of CMDs was dose-dependently associated with an increased risk of dementia. Compared with participants with no CMDs and a favourable lifestyle, those with ≥ 3 CMDs and an unfavourable lifestyle had a five times greater risk of developing dementia (HR 5.33, 95% CI 4.26-6.66). A significant interaction was found between CMD status and lifestyle (Pinteraction=0.001). The absolute difference in incidence rates of dementia per 1000 person years comparing favourable versus unfavourable lifestyle was - 0.65 (95% CI - 1.02 to - 0.27) among participants with no CMDs and - 5.64 (- 8.11 to - 3.17) among participants with ≥ 3 CMDs, corresponding to a HR of 0.71 (0.58-0.88) and 0.42 (0.28-0.63), respectively. In the imaging subsample, a favourable lifestyle was associated with larger total brain, grey matter, and hippocampus volumes across CMD status. CONCLUSION Our findings suggest that adherence to a healthy lifestyle might substantially attenuate dementia risk and adverse brain structural changes associated with cardiometabolic multimorbidity.
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Affiliation(s)
- Sizheng Xiong
- Department of Vascular Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
| | - Ningxin Hou
- Division of Cardiovascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feifei Tang
- Department of Cardiovascular Surgery, Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Li
- Division of Cardiovascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongping Deng
- Department of Vascular Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
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Davidson CG, Woodford SJ, Mathur S, Valle DB, Foster D, Kioutchoukova I, Mahmood A, Lucke-Wold B. Investigation into the vascular contributors to dementia and the associated treatments. EXPLORATION OF NEUROSCIENCE 2023; 2:224-237. [PMID: 37981945 PMCID: PMC10655228 DOI: 10.37349/en.2023.00023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 09/20/2023] [Indexed: 11/21/2023]
Abstract
As the average lifespan has increased, memory disorders have become a more pressing public health concern. However, dementia in the elderly population is often neglected in light of other health priorities. Therefore, expanding the knowledge surrounding the pathology of dementia will allow more informed decision-making regarding treatment within elderly and older adult populations. An important emerging avenue in dementia research is understanding the vascular contributors to dementia. This review summarizes potential causes of vascular cognitive impairment like stroke, microinfarction, hypertension, atherosclerosis, blood-brain-barrier dysfunction, and cerebral amyloid angiopathy. Also, this review address treatments that target these vascular impairments that also show promising results in reducing patient's risk for and experience of dementia.
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Affiliation(s)
| | | | - Shreya Mathur
- College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | | | - Devon Foster
- University of Central Florida, Orlando, FL 32816, USA
| | | | - Arman Mahmood
- College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Brandon Lucke-Wold
- Department of Neurosurgery, University of Florida, Gainesville, FL 32610, USA
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Sri S, Greenstein A, Granata A, Collcutt A, Jochems ACC, McColl BW, Castro BD, Webber C, Reyes CA, Hall C, Lawrence CB, Hawkes C, Pegasiou-Davies CM, Gibson C, Crawford CL, Smith C, Vivien D, McLean FH, Wiseman F, Brezzo G, Lalli G, Pritchard HAT, Markus HS, Bravo-Ferrer I, Taylor J, Leiper J, Berwick J, Gan J, Gallacher J, Moss J, Goense J, McMullan L, Work L, Evans L, Stringer MS, Ashford MLJ, Abulfadl M, Conlon N, Malhotra P, Bath P, Canter R, Brown R, Ince S, Anderle S, Young S, Quick S, Szymkowiak S, Hill S, Allan S, Wang T, Quinn T, Procter T, Farr TD, Zhao X, Yang Z, Hainsworth AH, Wardlaw JM. A multi-disciplinary commentary on preclinical research to investigate vascular contributions to dementia. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 5:100189. [PMID: 37941765 PMCID: PMC10628644 DOI: 10.1016/j.cccb.2023.100189] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 09/27/2023] [Accepted: 10/05/2023] [Indexed: 11/10/2023]
Abstract
Although dementia research has been dominated by Alzheimer's disease (AD), most dementia in older people is now recognised to be due to mixed pathologies, usually combining vascular and AD brain pathology. Vascular cognitive impairment (VCI), which encompasses vascular dementia (VaD) is the second most common type of dementia. Models of VCI have been delayed by limited understanding of the underlying aetiology and pathogenesis. This review by a multidisciplinary, diverse (in terms of sex, geography and career stage), cross-institute team provides a perspective on limitations to current VCI models and recommendations for improving translation and reproducibility. We discuss reproducibility, clinical features of VCI and corresponding assessments in models, human pathology, bioinformatics approaches, and data sharing. We offer recommendations for future research, particularly focusing on small vessel disease as a main underpinning disorder.
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Affiliation(s)
- Sarmi Sri
- UK Dementia Research Institute Headquarters, 6th Floor Maple House, London W1T 7NF, UK
| | - Adam Greenstein
- Division of Cardiovascular Sciences, The University of Manchester, Manchester M13 9PL, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Alessandra Granata
- Department of Clinical Neurosciences, Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Papworth Road, Cambridge Biomedical Campus, Cambridge CB2 0BB, UK
| | - Alex Collcutt
- UK Dementia Research Institute Headquarters, 6th Floor Maple House, London W1T 7NF, UK
| | - Angela C C Jochems
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
| | - Barry W McColl
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
- Centre for Discovery Brain Sciences, Chancellor's Building, The University of Edinburgh, Edinburgh, UK
| | - Blanca Díaz Castro
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
- Centre for Discovery Brain Sciences, Chancellor's Building, The University of Edinburgh, Edinburgh, UK
| | - Caleb Webber
- UK Dementia Research Institute Cardiff, Cardiff University, Cardiff CF24 4HQ, UK
| | - Carmen Arteaga Reyes
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
| | - Catherine Hall
- School of Psychology and Sussex Neuroscience, University of Sussex, Falmer, Brighton, East Sussex, UK
| | - Catherine B Lawrence
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Cheryl Hawkes
- Biomedical and Life Sciences, Lancaster University, Lancaster, UK
| | | | - Claire Gibson
- School of Psychology, University of Nottingham, Nottingham NG7 2UH, UK
| | - Colin L Crawford
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
- Centre for Discovery Brain Sciences, Chancellor's Building, The University of Edinburgh, Edinburgh, UK
| | - Colin Smith
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Denis Vivien
- Physiopathology and Imaging of Neurological Disorders (PhIND), Normandie University, UNICAEN, INSERM UMR-S U1237, , GIP Cyceron, Institute Blood and Brain @ Caen-Normandie (BB@C), Caen, France
- Department of clinical research, Caen-Normandie University Hospital, Caen, France
| | - Fiona H McLean
- Division of Systems Medicine, School of Medicine, Ninewells Hospital & Medical School, University of Dundee, Dundee DD1 9SY, UK
| | - Frances Wiseman
- UK Dementia Research Institute, University College London, London WC1N 3BG, UK
| | - Gaia Brezzo
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
- Centre for Discovery Brain Sciences, Chancellor's Building, The University of Edinburgh, Edinburgh, UK
| | - Giovanna Lalli
- UK Dementia Research Institute Headquarters, 6th Floor Maple House, London W1T 7NF, UK
| | - Harry A T Pritchard
- Division of Cardiovascular Sciences, The University of Manchester, Manchester M13 9PL, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Hugh S Markus
- Stroke Research Group, Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Isabel Bravo-Ferrer
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
- Centre for Discovery Brain Sciences, Chancellor's Building, The University of Edinburgh, Edinburgh, UK
| | - Jade Taylor
- Division of Cardiovascular Sciences, The University of Manchester, Manchester M13 9PL, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - James Leiper
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Jason Berwick
- Department of Psychology, University of Sheffield, Sheffield, UK
- Neuroscience Institute, University of Sheffield, Sheffield, UK
- Healthy Lifespan Institute, University of Sheffield, Sheffield, UK
| | - Jian Gan
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
- Centre for Discovery Brain Sciences, Chancellor's Building, The University of Edinburgh, Edinburgh, UK
| | - John Gallacher
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - Jonathan Moss
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
- Centre for Regenerative Medicine, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, UK
| | - Jozien Goense
- Neuroscience Program, University of Illinois, Urbana-Champaign, Urbana, IL, USA
- Department of Psychology, University of Illinois, Urbana-Champaign, Champaign, IL, USA
- Department of Bioengineering, University of Illinois, Urbana-Champaign, Urbana, IL, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, Urbana, IL, USA
- School of Psychology and Neuroscience, University of Glasgow, UK
| | - Letitia McMullan
- School of Psychology and Sussex Neuroscience, University of Sussex, Falmer, Brighton, East Sussex, UK
| | - Lorraine Work
- School of Cardiovascular & Metabolic Health, College of Medical, Veterinary & Life Sciences, University of Glasgow; Glasgow; UK
| | - Lowri Evans
- Division of Cardiovascular Sciences, The University of Manchester, Manchester M13 9PL, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Michael S Stringer
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
| | - MLJ Ashford
- Division of Systems Medicine, School of Medicine, Ninewells Hospital & Medical School, University of Dundee, Dundee DD1 9SY, UK
| | - Mohamed Abulfadl
- Dementia Research Group, Department of Clinical Neurosciences, Bristol Medical School, University of Bristol, Bristol BS10 5NB, UK
| | - Nina Conlon
- Division of Cardiovascular Sciences, The University of Manchester, Manchester M13 9PL, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Paresh Malhotra
- Department of Brain Sciences, Imperial College London, London, UK
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
- UK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, UK
| | - Philip Bath
- Stroke Trials Unit, University of Nottingham, Nottingham, UK; Stroke, Medicine Division, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Rebecca Canter
- Dementia Discovery Fund, SV Health Managers LLP, London, UK
| | - Rosalind Brown
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
- Centre for Discovery Brain Sciences, Chancellor's Building, The University of Edinburgh, Edinburgh, UK
| | - Selvi Ince
- Dementia Research Group, Department of Clinical Neurosciences, Bristol Medical School, University of Bristol, Bristol BS10 5NB, UK
| | - Silvia Anderle
- School of Psychology and Sussex Neuroscience, University of Sussex, Falmer, Brighton, East Sussex, UK
- Department of Neuroscience, Physiology and Pharmacology, University College London, UK
| | - Simon Young
- Dementias Platform UK, Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
| | - Sophie Quick
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
- Centre for Regenerative Medicine, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK
| | - Stefan Szymkowiak
- Centre for Discovery Brain Sciences, Chancellor's Building, The University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute Cardiff, Cardiff University, Cardiff CF24 4HQ, UK
| | - Steve Hill
- Centre for Discovery Brain Sciences, Chancellor's Building, The University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute Cardiff, Cardiff University, Cardiff CF24 4HQ, UK
| | - Stuart Allan
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Tao Wang
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- Division of Evolution, Infection and Genomic Sciences, Faculty of Biology Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester, UK
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Terry Quinn
- College of Medical Veterinary and Life Sciences, University of Glasgow, Scotland, UK
| | - Tessa Procter
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
- Centre for Regenerative Medicine, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK
- Royal (Dick) School of Veterinary Studies, The University of Edinburgh, UK
| | - Tracy D Farr
- School of Life Sciences, Physiology, Pharmacology, and Neuroscience Division, Medical School, University of Nottingham, Nottingham NG7 2UH, UK
| | - Xiangjun Zhao
- Division of Evolution, Infection and Genomic Sciences, Faculty of Biology Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester, UK
| | - Zhiyuan Yang
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, UK
| | - Atticus H Hainsworth
- Molecular and Clinical Sciences Research Institute, St George's University of London SW17 0RE, UK
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
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Lee KW, Chung HW, Hsieh HM, Tsao YH, Hung CH, Feng MC, Hung CH. Post-stroke dysphagia and ambient air pollution are associated with dementia. Front Aging Neurosci 2023; 15:1272213. [PMID: 37881359 PMCID: PMC10597701 DOI: 10.3389/fnagi.2023.1272213] [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: 08/03/2023] [Accepted: 09/25/2023] [Indexed: 10/27/2023] Open
Abstract
Introduction This cohort study aimed to explore the potential association between ambient air pollution and dementia incidence in adults who have experienced a stroke. Additionally, the study aimed to determine dysphagia as a predictive factor for the subsequent development of dementia in patients with stroke. Materials and methods This retrospective nested case-control study used data from the Kaohsiung Medical University Hospital Database in Taiwan. Data collected include average ambient air pollution concentrations within 3 months and 1 year after the index dysphagia date. The primary outcome includes incident dementia in patients with or without dysphagia. Logistic regression analysis was performed to examine the association between significant air pollution exposure and the risk of dementia while controlling for baseline demographic characteristics (age and sex), and comorbidities. Results The univariable regression models revealed a higher likelihood of dementia diagnosis in patients with dysphagia (odds ratio = 1.493, 95% confidence interval = 1.000-2.228). The raw odds ratios indicated a potential link between air pollution exposure and elevated dementia risks in the overall study population and patients with stroke without dysphagia, except for O3. Particulate matter (PM)2.5 and nitrogen oxides (NOx) exhibited significant effects on the risk of dementia in the stepwise logistic regression models. Conclusion The presence of dysphagia following a stroke may pose a risk of developing dementia. Additionally, PM2.5 and NOx exposure appears to elevate the risk of dementia in patients with stroke.
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Affiliation(s)
- Kuo-Wei Lee
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hao-Wei Chung
- Department of Pediatrics, Kaohsiung Medical University Chung Ho Memorial Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Biological Science and Technology, National Yang Ming Chiao-Tung University, Hsinchu, Taiwan
- Department of Pediatrics, Kaohsiung Municipal Siaogang Hospital, Kaohsiung, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hui-Min Hsieh
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of Medical Statistics and Bioinformatics, Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Center for Big Data Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yu-Hsiang Tsao
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of Medical Statistics and Bioinformatics, Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chih-Hsien Hung
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Chu Feng
- Department of Dysphagia Functional Reconstructive Center, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Nursing, Fooyin University, Kaohsiung, Taiwan
| | - Chih-Hsing Hung
- Department of Pediatrics, Kaohsiung Medical University Chung Ho Memorial Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Pediatrics, Kaohsiung Municipal Siaogang Hospital, Kaohsiung, Kaohsiung Medical University, Kaohsiung, Taiwan
- Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Pediatrics, Faculty of Pediatrics, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Zhu M, Pan G, Luo F, Sui S, Zhang Y. Modified Suanzaoren decoction in treating post-stroke cognitive impairment with comorbid insomnia symptoms: A clinical trial. Medicine (Baltimore) 2023; 102:e35239. [PMID: 37800827 PMCID: PMC10553162 DOI: 10.1097/md.0000000000035239] [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: 06/05/2023] [Accepted: 08/24/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Cognitive impairment and insomnia are common complications for stroke patients, and often coexist without effective therapy. Modified Suanzaoren decoction (M-SZRD), derived from a famous classic prescription, has been used as an alternative treatment for these patients. The objective of this study is to investigate the effectiveness of M-SZRD in treating post-stroke cognitive impairment with comorbid insomnia symptoms. METHODS A total of 80 participants were randomly assigned into 2 groups to 40 cases in the treatment group (treated with modified Suanzaoren decoction) and 40 cases in the control group (treated with zolpidem). The intervention period was 4 weeks. Cognitive function, sleep quality, depression, and anxiety disorders were evaluated in both groups before and after treatment. Clinical assessment of patients with stroke included National Institutes of Health Stroke Scale and Barthel Index evaluations. Hormone levels of the hypothalamic-pituitary-adrenal and hypothalamus-pituitary-thyroid axis were also measured. RESULTS Out of the total 80 participants, 5 withdrew during the experiment and did not complete the study, leaving 75 patients for analysis to 38 in the treatment group and 37 in the control group. The findings showed that M-SZRD was more effective than the control group in improving cognitive function (P = .006). However, both groups were found to have a similar effect in improving insomnia (P = .323). There was no significant difference between the 2 groups in terms of activities of daily living and National Institutes of Health Stroke Scale improvement. M-SZRD was superior to the control group in improving depression state (P = .034), but when including dropouts in the intention-to-treat analysis, the difference was not statistically significant (P = .150). Furthermore, the M-SZRD group was better than the control group in reducing cortisol levels (P = .036), and the improvement in serum-free triiodothyronine (FT3) levels was also more significant in the M-SZRD group than in the control group (P = .0007). CONCLUSION M-SZRD is a more effective treatment for improving cognitive function in patients with post-stroke cognitive impairment and comorbid insomnia symptoms, possibly by regulating the cortisol levels of the hypothalamic-pituitary-adrenal axis and FT3 levels of the hypothalamus-pituitary-thyroid axis.
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Affiliation(s)
- Mingjin Zhu
- Department of Rehabilitation Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Guoyua Pan
- Department of Rehabilitation Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Fang Luo
- Department of Rehabilitation Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Shuyan Sui
- Department of Neurology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Yonghua Zhang
- Department of Clinical Psychology, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, China
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Fan PL, Wang SS, Chu SF, Chen NH. Time-dependent dual effect of microglia in ischemic stroke. Neurochem Int 2023; 169:105584. [PMID: 37454817 DOI: 10.1016/j.neuint.2023.105584] [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: 05/15/2023] [Revised: 07/07/2023] [Accepted: 07/10/2023] [Indexed: 07/18/2023]
Abstract
Stroke, the third leading cause of death and disability worldwide, is classified into ischemic or hemorrhagic, in which approximately 85% of strokes are ischemic. Ischemic stroke occurs as a result of arterial occlusion due to embolus or thrombus, with ischemia in the perfusion territory supplied by the occluded artery. The traditional concept that ischemic stroke is solely a vascular occlusion disorder has been expanded to include the dynamic interaction between microglia, astrocytes, neurons, vascular cells, and matrix components forming the "neurovascular unit." Acute ischemic stroke triggers a wide spectrum of neurovascular disturbances, glial activation, and secondary neuroinflammation that promotes further injury, ultimately resulting in neuronal death. Microglia, as the resident macrophages in the central nervous system, is one of the first responders to ischemic injury and plays a significant role in post-ischemic neuroinflammation. In this review, we reviewed the mechanisms of microglia in multiple stages of post-ischemic neuroinflammation development, including acute, sub-acute and chronic phases of stroke. A comprehensive understanding of the dynamic variation and the time-dependent role of microglia in post-stroke neuroinflammation could aid in the search for more effective therapeutics and diagnostic strategies for ischemic stroke.
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Affiliation(s)
- Ping-Long Fan
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Sha-Sha Wang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Shi-Feng Chu
- State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica & Neuroscience Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China.
| | - Nai-Hong Chen
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China; State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica & Neuroscience Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China.
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Michalik F, Xie M, Eyting M, Heß S, Chung S, Geldsetzer P. The effect of herpes zoster vaccination on the occurrence of deaths due to dementia in England and Wales. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.08.23295225. [PMID: 37732219 PMCID: PMC10508823 DOI: 10.1101/2023.09.08.23295225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Background The United Kingdom (UK) has used date of birth-based eligibility rules for live-attenuated herpes zoster (HZ) vaccination that have led to large differences in HZ vaccination coverage between individuals who differed in their age by merely a few days. Using this unique natural randomization, we have recently provided evidence from Welsh electronic health record data that HZ vaccination caused a reduction in new dementia diagnoses over a seven-year period. Based on this, we hypothesized that HZ vaccination may have slowed the dementia disease process more generally and, thus, already reduced deaths with dementia as their underlying cause even though the UK's HZ vaccination program commenced as recently as September 2013. Using country-wide death certificate data for England and Wales, this study, therefore, aimed to determine whether eligibility for HZ vaccination caused a reduction in deaths due to dementia over a nine-year follow-up period. Methods Adults who had their 80th birthday shortly before September 1 2013 were ineligible for HZ vaccination in the UK's National Health Service and remained ineligible for life, whereas those who had their 80th birthday shortly after September 1 2013 (i.e., born on or after September 2 1933) were eligible for one year. Akin to a randomized trial, this date-of-birth threshold generated birth cohorts who are likely exchangeable in observed and unobserved characteristics except for a small difference in age and a large difference in HZ vaccination uptake. We used country-wide data from death certificates in England and Wales on underlying causes of death from September 1 2004 to August 31 2022 by ICD-10 code and month of birth. Our analysis compared the percentage of the population with a death due to dementia among the month-of-birth cohorts around the September 2 1933 eligibility threshold using a regression discontinuity design. The primary analyses used the maximal available follow-up period of nine years. Results The study population included 5,077,426 adults born between September 1 1925 and August 31 1941 who were alive at the start of the HZ vaccination program. The month-of-birth cohorts around the September 2 1933 eligibility cutoff were well balanced in their occurrence of all-cause and cause-specific deaths (including deaths due to dementia) prior to the start of the vaccination program. We estimated that over a nine-year follow-up period, eligibility for HZ vaccination reduced the percentage of the population with a death due to dementia by 0.38 (95% CI: 0.08 to 0.68, p=0.012) percentage points, corresponding to a relative reduction of 4.8%. As in our prior analysis, this effect was stronger among women (-0.62 [95% CI: -1.06 to -0.19] percentage points, p=0.004) than among men (-0.11 [95% CI: -0.51 to 0.28] percentage points, p=0.574). The reduction in deaths due to dementia likely resulted in an increase in remaining life expectancy because we found that HZ vaccination eligibility reduced all-cause mortality but had no effect on deaths not due to dementia. An effect on deaths due to dementia at the September 2 date-of-birth eligibility threshold existed only since the year in which the HZ vaccination program was implemented. Conclusions Our findings indicate that HZ vaccination improved cognitive function at a fairly advanced stage of the dementia disease process because most individuals whose underlying cause of death was dementia during our nine-year follow-up period were likely already living with dementia at the start of the HZ vaccination program. By using a different population, type of data, and outcome than our prior study in Welsh electronic health record data, this analysis adds to the evidence base that HZ vaccination slows, or potentially even prevents, the natural history of dementia.
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Affiliation(s)
- Felix Michalik
- Division of Primary Care and Population Health, Department of Medicine, Stanford University; Stanford, CA 94305, USA
- Heidelberg Institute of Global Health (HIGH), Heidelberg University; 69120 Heidelberg, Germany
| | - Min Xie
- Division of Primary Care and Population Health, Department of Medicine, Stanford University; Stanford, CA 94305, USA
- Heidelberg Institute of Global Health (HIGH), Heidelberg University; 69120 Heidelberg, Germany
| | - Markus Eyting
- Division of Primary Care and Population Health, Department of Medicine, Stanford University; Stanford, CA 94305, USA
- Heidelberg Institute of Global Health (HIGH), Heidelberg University; 69120 Heidelberg, Germany
- Gutenberg School of Management and Economics, Johannes Gutenberg University Mainz; 55128 Mainz, Germany
| | - Simon Heß
- Department of Economics, University of Vienna; 1090 Vienna, Austria
| | - Seunghun Chung
- Division of Primary Care and Population Health, Department of Medicine, Stanford University; Stanford, CA 94305, USA
| | - Pascal Geldsetzer
- Division of Primary Care and Population Health, Department of Medicine, Stanford University; Stanford, CA 94305, USA
- Department of Epidemiology and Population Health, Stanford University; Stanford, CA 94305, USA
- Chan Zuckerberg Biohub – San Francisco; San Francisco, CA 94158, USA
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Succar B, Zhou W. Does Carotid Intervention Improve Cognitive Function? Adv Surg 2023; 57:267-277. [PMID: 37536858 DOI: 10.1016/j.yasu.2023.04.007] [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: 08/05/2023]
Abstract
Carotid artery disease has been linked to baseline cognitive impairment, even in asymptomatic patients. Therefore, there has been a persistent interest in investigating the impact of carotid revascularization on cognitive functions, but the results have been heterogeneous. Our recent prospective evaluation showed improved cognitive scores across multiple cognitive measures following carotid intervention. Herein, we summarize the studies published to date, identify the potential contributors to the inconsistency of post-interventional cognitive outcomes, and explore further opportunities in cognitive evaluations.
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Affiliation(s)
- Bahaa Succar
- Division of Vascular Surgery, Department of Surgery, University of Arizona, Tucson, AZ, USA
| | - Wei Zhou
- Division of Vascular Surgery, Department of Surgery, University of Arizona, Tucson, AZ, USA.
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de Crom TOE, Steur M, Ikram MK, Ikram MA, Voortman T. Plant-based dietary patterns and the risk of dementia: a population-based study. Age Ageing 2023; 52:afad178. [PMID: 37740899 PMCID: PMC10517714 DOI: 10.1093/ageing/afad178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Indexed: 09/25/2023] Open
Abstract
BACKGROUND Plant-based dietary patterns are increasingly popular in western countries and are supported by many governments and health organisations for their potential beneficial role in the prevention of chronic diseases. Yet, the potential role of plant-based dietary patterns in the development of dementia remains unclear. OBJECTIVE To evaluate the association between plant-based dietary patterns and the risk of dementia. METHODS Dietary intake was measured at baseline in 9,543 dementia-free participants (mean age 64 years, birth years 1897-1960, 58% women) of the prospective population-based Rotterdam Study, using food frequency questionnaires. Based on these questionnaires, we calculated an overall plant-based dietary index (PDI), healthy PDI (hPDI) and unhealthy PDI (uPDI), with higher scores reflecting higher consumption of (any, healthy and unhealthy, respectively) plant-based foods and lower consumption of animal-based foods. We analysed the association of the PDIs with incident dementia using Cox proportional hazard models. RESULTS During a mean follow-up of 14.5 years, 1,472 participants developed dementia. Overall, the PDIs were not associated with the risk of dementia (hazard ratio [95% confidence interval] per 10-point increase: 0.99 [0.91-1.08] for PDI, 0.93 [0.86-1.01] for hPDI, 1.02 [0.94-1.10] for uPDI). However, among men and APOE ε4 carriers, a higher hPDI was linearly associated with a lower risk of dementia (0.86 [0.75-0.99] and 0.83 [0.73-0.95], respectively), while this association was U-shaped among APOE ε4 non-carriers (P value for non-linearity = 0.01). CONCLUSIONS We found no strong evidence for an overall association between plant-based eating and the risk of dementia. Our findings in stratified analyses warranted further investigation.
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Affiliation(s)
- Tosca O E de Crom
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Marinka Steur
- 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
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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Zhong W, Chen H, Gong X, Tong L, Xu X, Zong G, Yuan C, Lou M. Prevalent stroke, age of its onset, and post-stroke lifestyle in relation to dementia: A prospective cohort study. Alzheimers Dement 2023; 19:3998-4007. [PMID: 37157186 DOI: 10.1002/alz.13122] [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: 11/13/2022] [Revised: 04/11/2023] [Accepted: 04/12/2023] [Indexed: 05/10/2023]
Abstract
INTRODUCTION The association of age at stroke onset with dementia and the role of post-stroke lifestyle on dementia risk remains unclear. METHODS We leveraged data of 496,251 dementia-free participants from UK Biobank and explored the relationship between age at stroke onset and incident dementia. Among 8328 participants with stroke history, we further investigated the association of a healthy lifestyle with risk of dementia. RESULTS Participants with stroke history had a higher risk of dementia (hazard ratio [HR], 2.02). The association was stronger among participants with stroke onset at a younger age (≤50: HR, 2.63) compared with those at the age > 50 years (50-60: HR, 2.17; ≥60: HR, 1.58). Among participants with stroke history, a favorable lifestyle was associated with a lower risk of incident dementia. DISCUSSION Stroke onset in earlier life stage predicted a higher risk for dementia, but a favorable post-stroke lifestyle may protect against dementia.
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Affiliation(s)
- Wansi Zhong
- Department of Neurology, the Second Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Hui Chen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiaoxian Gong
- Department of Neurology, the Second Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Lusha Tong
- Department of Neurology, the Second Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Xin Xu
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Changzheng Yuan
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Nutrition, Harvard T.H. School of Public Health, Boston, Massachusetts, USA
| | - Min Lou
- Department of Neurology, the Second Affiliated Hospital, Hangzhou, Zhejiang, China
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Kussik de Almeida Leite K, Chiarion Sassi F, Navas Perissinotti I, Comerlatti LR, Furquim de Andrade CR. Risk factors independently associated with the maintenance of severe restriction of oral intake and alternative feeding method indication at hospital outcome in patients after acute ischemic stroke. Clinics (Sao Paulo) 2023; 78:100275. [PMID: 37572389 PMCID: PMC10428027 DOI: 10.1016/j.clinsp.2023.100275] [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: 03/30/2023] [Revised: 06/26/2023] [Accepted: 07/26/2023] [Indexed: 08/14/2023] Open
Abstract
BACKGROUND AND AIMS From a clinical point of view, post-stroke patients present difficulties in swallowing management. The purpose of this research was to identify risk factors that were independently related to the maintenance of a severe restriction of oral intake in patients affected by acute ischemic stroke. METHODS The authors conducted a prospective observational cohort study of patients with dysphagia post-acute ischemic stroke who were admitted to an Emergency Room (ER). Demographic and clinical data were collected at ER admission. Swallowing data was based on The Functional Oral Intake Scale (FOIS) and was collected at two distinct moments: initial swallowing assessment and at the patient outcome. Patients were divided into two groups according to their FOIS level assigned on the last swallowing assessment (at hospital outcome): G1 with severe restriction of oral intake and indication of feeding tube - patients with FOIS levels 1 to 4; G2 without restriction of food consistencies in oral intake - patients with FOIS levels 5 to 7. RESULTS One hundred and six patients were included in our study. Results of the multivariate logistic regression model for the prediction of maintenance of a severe restriction of oral intake at hospital outcome in patients post-acute ischemic stroke indicated that increasing age (p = 0.006), and dysarthria (p = 0.003) were associated with higher chances of presenting severe restriction of oral intake at hospital outcome. CONCLUSIONS Patients with acute ischemic stroke in an Emergency Room may experience non-resolved severe dysphagia, indicating the need to prepare for the care/rehabilitation of these patients.
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Affiliation(s)
| | - Fernanda Chiarion Sassi
- Department of Physiotherapy, Speech-Language and Hearing Science and Occupational Therapy, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil
| | - Iago Navas Perissinotti
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil
| | - Luiz Roberto Comerlatti
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil
| | - Claudia Regina Furquim de Andrade
- Department of Physiotherapy, Speech-Language and Hearing Science and Occupational Therapy, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil
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Vishwanath S, Hopper I, Wolfe R, Polekhina G, Reid CM, Tonkin AM, Murray AM, Shah RC, Storey E, Woods RL, McNeil J, Orchard SG, Nelson MR, Steves CJ, Ryan J. Cognitive trajectories and incident dementia after a cardiovascular event in older adults. Alzheimers Dement 2023; 19:3670-3678. [PMID: 36856152 PMCID: PMC10440246 DOI: 10.1002/alz.13006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 03/02/2023]
Abstract
INTRODUCTION Cardiovascular disease (CVD) is a recognized risk factor for dementia. Here we determined the extent to which an incident CVD event modifies the trajectory of cognitive function and risk of dementia. METHODS 19,114 adults (65+) without CVD or dementia were followed prospectively over 9 years. Incident CVD (fatal coronary heart disease, nonfatal myocardial infarction [MI], stroke, hospitalization for heart failure) and dementia (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria) were adjudicated by experts. RESULTS Nine hundred twenty-two participants had incident CVD, and 44 developed dementia after CVD (4.9% vs. 4.4% for participants without CVD). Following a CVD event there was a short-term drop in processing speed (-1.97, 95% confidence interval [CI]: -2.57 to -1.41), but there was no significant association with longer-term processing speed. In contrast, faster declines in trajectories of global function (-0.56, 95% CI: -0.76 to -0.36), episodic memory (-0.10, 95% CI: -0.16 to -0.04), and verbal fluency (-0.19, 95% CI: -0.30 to -0.01) were observed. DISCUSSION Findings highlight the importance of monitoring cognition after a CVD event.
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Affiliation(s)
- Swarna Vishwanath
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Ingrid Hopper
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Rory Wolfe
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Galina Polekhina
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Christopher M. Reid
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
- School of Public Health, Curtin University, Western Australia, Australia
| | - Andrew M. Tonkin
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Anne M. Murray
- Berman Center for Outcomes & Clinical Research, Hennepin Healthcare Research Institute, Minneapolis, MN, USA
- Department of Medicine, Division of Geriatrics Hennepin Healthcare, University of Minnesota, Minneapolis, MN, USA
| | - Raj C. Shah
- Department of Family Medicine and the Rush Alzheimer’s Disease Centre, Rush University Medical Centre, Chicago, IL, USA
| | - Elsdon Storey
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Robyn L. Woods
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - John McNeil
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Suzanne G. Orchard
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Mark R. Nelson
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Claire J. Steves
- Department of Twin Research & Genetic Epidemiology, King’s College London, United Kingdom
| | - Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
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Stephan Y, Sutin AR, Luchetti M, Aschwanden D, Terracciano A. Personality and Risk of Incident Stroke in 6 Prospective Studies. Stroke 2023; 54:2069-2076. [PMID: 37325920 PMCID: PMC10524767 DOI: 10.1161/strokeaha.123.042617] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 05/12/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND A large literature has examined a broad range of factors associated with increased risk of stroke. Few studies, however, have examined the association between personality and stroke. The present study adopted a systematic approach using a multi-cohort design to examine the associations between 5-Factor Model personality traits (neuroticism, extraversion, openness, agreeableness, and conscientiousness) and incident stroke using data from 6 large longitudinal samples of adults. METHODS Participants (age range: 16-104 years old, N=58 105) were from the MIDUS (Midlife in the United States) Study, the HRS (Health and Retirement Study), The US (Understanding Society) study, the WLS (Wisconsin Longitudinal Study), the NHATS (National Health and Aging Trends Study), and the LISS (Longitudinal Internet Studies for the Social Sciences). Personality traits, demographic factors, clinical and behavioral risk factors were assessed at baseline; stroke incidence was tracked over 7 to 20 years follow-up. RESULTS Meta-analyses indicated that higher neuroticism was related to a higher risk of incident stroke (hazard ratio, 1.15 [95% CI, 1.10-1.20]; P<0.001), whereas higher conscientiousness was protective (HR, 0.89 [95% CI, 0.85-0.93]; P<0.001). Additional meta-analyses indicated that BMI, diabetes, blood pressure, physical inactivity, and smoking as additional covariates partially accounted for these associations. Extraversion, openness, and agreeableness were unrelated to stroke incidence. CONCLUSIONS Similar to other cardiovascular and neurological conditions, higher neuroticism is a risk factor for stroke incidence, whereas higher conscientiousness is a protective factor.
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Affiliation(s)
| | - Angelina R. Sutin
- Department of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, USA
| | - Martina Luchetti
- Department of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, USA
| | - Damaris Aschwanden
- Department of Geriatrics, College of Medicine, Florida State University, USA
- Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Switzerland
| | - Antonio Terracciano
- Department of Geriatrics, College of Medicine, Florida State University, USA
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Sjölin K, Christersson C, James S, Lindbäck J, Åsberg S, Burman J. Plasma Neurofilament Light Chain Is Elevated after Transcatheter Aortic Valve Implantation. Cardiology 2023; 148:478-484. [PMID: 37517390 DOI: 10.1159/000532041] [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: 04/18/2023] [Accepted: 07/09/2023] [Indexed: 08/01/2023]
Abstract
INTRODUCTION Transcatheter aortic valve implantation (TAVI) is associated with a high incidence of new silent brain infarcts (SBIs) on postprocedural neuroimaging. A venous blood sample reflecting neuronal damage following TAVI could help identify patients with potential SBIs. We aimed to investigate if a biochemical marker of neuronal injury, neurofilament light chain (NFL), is elevated after TAVI. METHODS In this observational study, NFL was measured in plasma from 31 patients before and after TAVI. Multivariable regression analysis was performed to investigate any effect of clinical- and procedure-related factors on differences in NFL levels before and after TAVI. RESULTS Samples were collected 41 (14-81) days before and 44 (35-59) days after TAVI, median (interquartile range). Median age was 81 (77-84) years, and 35% were female. No patient had any overt procedure-related neurological complications. The geometric mean (95% confidence interval) of the NFL concentration was 30 (25-36) pg/mL before TAVI and 48 (39-61) pg/mL, after TAVI, p <0.001. None of the included variables in the multiple linear regression model were statistically significantly associated with the difference in levels before and after TAVI. CONCLUSIONS NFL levels in plasma were higher after TAVI as compared with levels before, with a mean increase of 60% (18 pg/mL). Further studies including neuroimaging and cognitive outcomes are needed to understand the potential value of measuring NFL in relation to TAVI.
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Affiliation(s)
- Karl Sjölin
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
| | | | - Stefan James
- Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden
- Uppsala Clinical Research Center (UCR), Uppsala University, Uppsala, Sweden
| | - Johan Lindbäck
- Uppsala Clinical Research Center (UCR), Uppsala University, Uppsala, Sweden
| | - Signild Åsberg
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
| | - Joachim Burman
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
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78
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Gong J, Zhang Y, Zhong X, Zhang Y, Chen Y, Wang H. Liver function test indices-based prediction model for post-stroke depression: a multicenter, retrospective study. BMC Med Inform Decis Mak 2023; 23:127. [PMID: 37468891 PMCID: PMC10357817 DOI: 10.1186/s12911-023-02241-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 07/13/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Post-stroke depression (PSD) was one of the most prevalent and serious neuropsychiatric effects after stroke. Nevertheless, the association between liver function test indices and PSD remains elusive, and there is a lack of effective prediction tools. The purpose of this study was to explore the relationship between the liver function test indices and PSD, and construct a prediction model for PSD. METHODS All patients were selected from seven medical institutions of Chongqing Medical University from 2015 to 2021. Variables including demographic characteristics and liver function test indices were collected from the hospital electronic medical record system. Univariate analysis, least absolute shrinkage and selection operator (LASSO) and logistic regression analysis were used to screen the predictors. Subsequently, logistic regression, random forest (RF), extreme gradient boosting (XGBoost), gradient boosting decision tree (GBDT), categorical boosting (CatBoost) and support vector machine (SVM) were adopted to build the prediction model. Furthermore, a series of evaluation indicators such as area under curve (AUC), sensitivity, specificity, F1 were used to assess the performance of the prediction model. RESULTS A total of 464 PSD and 1621 stroke patients met the inclusion criteria. Six liver function test items, namely AST, ALT, TBA, TBil, TP, ALB/GLB, were closely associated with PSD, and included for the construction of the prediction model. In the test set, logistic regression model owns the AUC of 0.697. Compared with the other four machine learning models, the GBDT model has the best predictive performance (F1 = 0.498, AUC = 0.761) and was chosen to establish the prediction tool. CONCLUSIONS The prediction model constructed using these six predictors with GBDT algorithm displayed a promising prediction ability, which could be used for the participating hospital units or individuals by mobile phone or computer.
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Affiliation(s)
- Jun Gong
- Department of Information Center, University-town Hospital of Chongqing Medical University, Chongqing, China
- Medical Data Science Academy, Chongqing Medical University, Chongqing, China
| | - Yalian Zhang
- Department of Rehabilitation, Children's Hospital of Chongqing Medical University, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Chongqing, China
| | - Xiaogang Zhong
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- College of Basic Medicine, Chongqing Medical University, Chongqing, China
| | - Yi Zhang
- Department of Information Center, Rehabilitation Hospital of Chongqing Medical University, Chongqing, China
| | - Yanhua Chen
- Department of Pain and Rehabilitation, The Seventh People's Hospital of Chongqing, Chongqing, China.
| | - Huilai Wang
- Department of Information Center, University-town Hospital of Chongqing Medical University, Chongqing, China.
- Medical Data Science Academy, Chongqing Medical University, Chongqing, China.
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Varkey BP, Joseph J, Haokip HR, Sharma SK, Mathews E, Ameen S, Narasimha VL, Dhandapani M, Grover S. The Prevalence of Comorbidities and Associated Factors among Patients with Dementia in the Indian Setting: Meta-analysis of Observational Studies. Indian J Psychol Med 2023; 45:338-344. [PMID: 37427307 PMCID: PMC7614734 DOI: 10.1177/02537176221130252] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND Patients with dementia usually have multiple comorbidities. The presence of comorbidities may exacerbate the progression of dementia and decreases the patient's ability to participate in health maintenance activities. However, there is hardly any meta-analysis estimating the magnitude of comorbidities among patients with dementia in the Indian context. METHODS We searched PubMed, Scopus, and Google Scholar, and relevant studies conducted in India were included. The risk of bias was assessed and a random-effects meta-analysis model was used in which I2 statistics were calculated to measure heterogeneity among studies. RESULTS Fourteen studies were included in the meta-analysis based on the inclusion and exclusion criteria. Altogether, we found the coexistence of comorbid conditions such as hypertension (51.10%), diabetes (27.58%), stroke (15.99%), and factors like tobacco use (26.81 %) and alcohol use (9.19%) among patients with dementia in this setting. The level of heterogeneity was high due to differences in the methodologies in the included studies. CONCLUSIONS Our study found hypertension as the most common comorbid condition among patients with dementia in India. The observed lacuna of methodological limitations in the studies included in the current meta-analysis provides the urgent need for good quality research to successfully meet the challenges ahead while devising appropriate strategies to treat the comorbidities among patients with dementia.
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Affiliation(s)
| | - Jaison Joseph
- Dept. of Psychiatric Nursing, College of Nursing, Pt. B.D. Sharma University of Health Sciences, Rohtak, Haryana, India
| | | | - Suresh K Sharma
- College of Nursing, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Elezebeth Mathews
- Dept. of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala, India
| | - Shahul Ameen
- St. Thomas Hospital, Changanacherry, Kerala, India
| | | | - Manju Dhandapani
- National Institute of Nursing Education, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Sandeep Grover
- Dept. of Psychiatry, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
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Misiura MB, Butts B, Hammerschlag B, Munkombwe C, Bird A, Fyffe M, Hemphill A, Dotson VM, Wharton W. Intersectionality in Alzheimer's Disease: The Role of Female Sex and Black American Race in the Development and Prevalence of Alzheimer's Disease. Neurotherapeutics 2023; 20:1019-1036. [PMID: 37490246 PMCID: PMC10457280 DOI: 10.1007/s13311-023-01408-x] [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] [Accepted: 07/07/2023] [Indexed: 07/26/2023] Open
Abstract
It is well known that vascular factors and specific social determinants of health contribute to dementia risk and that the prevalence of these risk factors differs according to race and sex. In this review, we discuss the intersection of sex and race, particularly female sex and Black American race. Women, particularly Black women, have been underrepresented in Alzheimer's disease clinical trials and research. However, in recent years, the number of women participating in clinical research has steadily increased. A greater prevalence of vascular risk factors such as hypertension and type 2 diabetes, coupled with unique social and environmental pressures, puts Black American women particularly at risk for the development of Alzheimer's disease and related dementias. Female sex hormones and the use of hormonal birth control may offer some protective benefits, but results are mixed, and studies do not consistently report the demographics of their samples. We argue that as a research community, greater efforts should be made to not only recruit this vulnerable population, but also report the demographic makeup of samples in research to better target those at greatest risk for the disease.
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Affiliation(s)
- Maria B Misiura
- Department of Psychology, Georgia State University, Atlanta, GA, USA.
- Center for Translational Research in Neuroimaging & Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
| | - Brittany Butts
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
| | - Bruno Hammerschlag
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
| | - Chinkuli Munkombwe
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Center for Translational Research in Neuroimaging & Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
- Neuroscience Institute, Georgia State University, Atlanta, GA, USA
| | - Arianna Bird
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Mercedes Fyffe
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Asia Hemphill
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Center for Translational Research in Neuroimaging & Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Vonetta M Dotson
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Gerontology Institute, Georgia State University, Atlanta, GA, USA
| | - Whitney Wharton
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
- Goizueta Alzheimer's Disease Research Center, Emory University, Atlanta, GA, USA
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Zhang MJ, Ji Y, Wang W, Norby FL, Parikh R, Eaton AA, Inciardi RM, Alonso A, Soliman EZ, Mosley TH, Johansen MC, Gottesman RF, Shah AM, Solomon SD, Chen LY. Association of Atrial Fibrillation With Stroke and Dementia Accounting for Left Atrial Function and Size. JACC. ADVANCES 2023; 2:100408. [PMID: 37954510 PMCID: PMC10634508 DOI: 10.1016/j.jacadv.2023.100408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/11/2023] [Accepted: 05/01/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND Atrial fibrillation (AF) is associated with higher risks of ischemic stroke (IS) and dementia. Whether alterations in left atrial (LA) function or size-atrial myopathy-confound these associations remains unknown. OBJECTIVES The purpose of this study was to examine the association of prevalent and incident AF with ischemic stroke and dementia in the ARIC (Atherosclerosis Risk In Communities) study, adjusting for LA function and size. METHODS Participants at visit 5 (2011-2013) with echocardiographic LA function (reservoir, conduit, contractile strain, and emptying fraction) and size (maximal, minimal volume index) data, and without prevalent stroke or dementia were followed through 2019. For analysis, we used time-varying Cox regression. RESULTS Among 5,458 participants (1,193 with AF, mean age of 76 years) in the stroke analysis and 5,461 participants (1,205 with AF, mean age of 75 years) in the dementia analysis, 209 participants developed ischemic stroke, and 773 developed dementia over 7.1 years (median). In a demographic and risk factor-adjusted model, AF was significantly associated with ischemic stroke (HR, 1.63; 95% CI: 1.11-2.37) and dementia (HR: 1.38, 95% CI: 1.13-1.70). After additionally adjusting for LA reservoir strain, these associations were attenuated and no longer statistically significant (stroke [HR: 1.33, 95% CI: 0.88-2.00], dementia [HR: 1.15, 95% CI: 0.92-1.43]). Associations with ischemic stroke and dementia were also attenuated and not statistically significant after adjustment for LA contractile strain, emptying fraction, and minimal volume index. CONCLUSIONS AF-ischemic stroke and AF-dementia associations were not statistically significant after adjusting for measures of atrial myopathy. This proof-of-concept analysis does not support AF as an independent risk factor for ischemic stroke and dementia.
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Affiliation(s)
- Michael J. Zhang
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
- Lillehei Heart Institute, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Yuekai Ji
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Wendy Wang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Faye L. Norby
- Department of Cardiology, Center for Cardiac Arrest Prevention, Cedars-Sinai Smidt Heart Institute, Los Angeles, California
| | - Romil Parikh
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Anne A. Eaton
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Riccardo M. Inciardi
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Institute of Cardiology, University of Brescia, Brescia, Italy
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Elsayed Z. Soliman
- Cardiovascular Medicine Section, Department of Internal Medicine, Epidemiological Cardiology Research Center, Wake Forest School of Medicine, Winston Salem, North Carolina
| | - Thomas H. Mosley
- Division of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | - Michelle C. Johansen
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Rebecca F. Gottesman
- Stroke Branch, National Institute of Neurological Disorders and Stroke Intramural Research Program, NIH, Bethesda, Maryland
| | - Amil M. Shah
- Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Scott D. Solomon
- Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Lin Yee Chen
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
- Lillehei Heart Institute, University of Minnesota Medical School, Minneapolis, Minnesota
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Shimizu Y, Inoue M, Yasuda N, Yamagishi K, Iwasaki M, Tsugane S, Sawada N. Bowel movement frequency, stool consistency, and risk of disabling dementia: a population-based cohort study in Japan. Public Health 2023; 221:31-38. [PMID: 37392635 DOI: 10.1016/j.puhe.2023.05.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 05/24/2023] [Accepted: 05/27/2023] [Indexed: 07/03/2023]
Abstract
OBJECTIVES This population-based study aimed to evaluate the association between bowel habits from midlife and dementia. STUDY DESIGN This was a cohort study using certification records for national long-term care insurance in Japan. METHODS Participants aged 50 to 79 years who reported bowel habits from eight districts within the Japan Public Health Center-based Prospective Study (JPHC Study) were followed from 2006 to 2016 for incident dementia. Hazard ratio (HR) and 95% confidence interval (CI) were estimated for men and women separately using Cox proportional hazards models accounting for various lifestyle factors and medical histories. RESULTS Among 19,396 men and 22,859 women, 1889 men and 2685 women were diagnosed with dementia. In men, the multivariable-adjusted HRs compared with bowel movement frequency (BMF) of once/day were 1.00 (95% CI: 0.87-1.14) for twice/day or more, 1.38 (1.16-1.65) for 5-6 times/week, 1.46 (1.18-1.80) for 3-4 times/week, and 1.79 (1.34-2.39) for <3 times/week (P for trend <0.001). In women, the corresponding HRs were 1.14 (0.998-1.31), 1.03 (0.91-1.17), 1.16 (1.01-1.33), and 1.29 (1.08-1.55) (P for trend = 0.043). Harder stool was associated with higher risk (P for trend: 0.0030 for men and 0.024 for women), with adjusted HRs compared to normal stool of 1.30 (1.08-1.57) for hard stool and 2.18 (1.23-3.85) for very hard stool in men, and 1.15 (1.002-1.32) and 1.84 (1.29-2.63) in women. CONCLUSIONS Lower BMF and harder stool were each associated with higher risk of dementia.
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Affiliation(s)
- Y Shimizu
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - M Inoue
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan; Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - N Yasuda
- Department of Public Health, Kochi University Medical School, Kochi, Japan
| | - K Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Tsukuba, Japan
| | - M Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan; Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - S Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan; National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - N Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
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Iadecola C, Smith EE, Anrather J, Gu C, Mishra A, Misra S, Perez-Pinzon MA, Shih AY, Sorond FA, van Veluw SJ, Wellington CL. The Neurovasculome: Key Roles in Brain Health and Cognitive Impairment: A Scientific Statement From the American Heart Association/American Stroke Association. Stroke 2023; 54:e251-e271. [PMID: 37009740 PMCID: PMC10228567 DOI: 10.1161/str.0000000000000431] [Citation(s) in RCA: 47] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
Abstract
BACKGROUND Preservation of brain health has emerged as a leading public health priority for the aging world population. Advances in neurovascular biology have revealed an intricate relationship among brain cells, meninges, and the hematic and lymphatic vasculature (the neurovasculome) that is highly relevant to the maintenance of cognitive function. In this scientific statement, a multidisciplinary team of experts examines these advances, assesses their relevance to brain health and disease, identifies knowledge gaps, and provides future directions. METHODS Authors with relevant expertise were selected in accordance with the American Heart Association conflict-of-interest management policy. They were assigned topics pertaining to their areas of expertise, reviewed the literature, and summarized the available data. RESULTS The neurovasculome, composed of extracranial, intracranial, and meningeal vessels, as well as lymphatics and associated cells, subserves critical homeostatic functions vital for brain health. These include delivering O2 and nutrients through blood flow and regulating immune trafficking, as well as clearing pathogenic proteins through perivascular spaces and dural lymphatics. Single-cell omics technologies have unveiled an unprecedented molecular heterogeneity in the cellular components of the neurovasculome and have identified novel reciprocal interactions with brain cells. The evidence suggests a previously unappreciated diversity of the pathogenic mechanisms by which disruption of the neurovasculome contributes to cognitive dysfunction in neurovascular and neurodegenerative diseases, providing new opportunities for the prevention, recognition, and treatment of these conditions. CONCLUSIONS These advances shed new light on the symbiotic relationship between the brain and its vessels and promise to provide new diagnostic and therapeutic approaches for brain disorders associated with cognitive dysfunction.
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Jin Y, Liang J, Hong C, Liang R, Luo Y. Cardiometabolic multimorbidity, lifestyle behaviours, and cognitive function: a multicohort study. THE LANCET. HEALTHY LONGEVITY 2023:S2666-7568(23)00054-5. [PMID: 37150183 DOI: 10.1016/s2666-7568(23)00054-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 03/07/2023] [Accepted: 03/07/2023] [Indexed: 05/09/2023] Open
Abstract
BACKGROUND Little is known about the effect of lifestyle factors on cognitive decline related to cardiometabolic multimorbidity. We aimed to examine the association between cardiometabolic multimorbidity and cognitive decline, and the role of lifestyle factors in this association. METHODS We did a pooled multi-cohort study using pooled data from four cohort studies (the Health and Retirement Study; the English Longitudinal Study of Ageing; the Survey of Health, Ageing and Retirement in Europe; and the China Health and Retirement Longitudinal Study) across 14 countries. Eligible participants were age 50 years and older, and those who were missing information on exposure and outcomes, or who had been diagnosed with dementia or Parkinson's disease, were excluded. Cardiometabolic multimorbidity was defined as the co-occurrence of two or three cardiometabolic diseases, including diabetes, heart disease, and stroke. The primary outcome of cognitive function was measured in three domains, on the basis of the mean and SD of the corresponding tests: memory, numeracy, and orientation, in all participants with available data. A global cognitive score was created by summing the individual scores. FINDINGS The final sample consisted of 160 147 individuals across all four studies (73 846 [46·1%] men and 86 301 [53·9%] women) and participants had a mean age of 67·49 years (SD 10·43). An increasing number of cardiometabolic diseases was dose-dependently associated with the decline in cognitive function score (one disease, β=-0·15 [95% CI -0·17 to -0·13]; two diseases, β=-0·37 [-0·40 to -0·34]; three diseases, β=-0·57 [-0·64 to -0·50]), with comorbid diabetes and stroke (β=-0·23 [-0·29 to -0·17]) contributing most strongly to cardiometabolic disease-associated cognitive decline. Cognitive decline associated with cardiometabolic disease was accelerated with physical inactivity (one cardiometablic disease, p=0·020; two cardiometablic diseases, p=0·42; and three cardiometablic diseases, p=0·24), excessive alcohol use (one cardiometablic disease, p=0·016; two cardiometablic diseases, p=0·65; and three cardiometablic diseases, p=0·50), and the higher number of unhealthy lifestyle factors (one cardiometablic disease, p=0·79; two cardiometablic diseases, p=0·0050; and three cardiometablic diseases, p=0·888). INTERPRETATION These findings indicated a targeted approach for simultaneously developing preventative interventions on lifestyles and integrated treatment for cardiometabolic comorbidities to delay cognitive decline in older people. FUNDING Major Project of the National Social Science Fund of China, National Natural Science Foundation of China, China Medical Board, and Young Elite Scientists Sponsorship Program by CAST.
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Affiliation(s)
- Yinzi Jin
- Department of Global Health, School of Public Health, Peking University, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China
| | - Jersey Liang
- Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Chenlu Hong
- Department of Global Health, School of Public Health, Peking University, Beijing, China
| | - Richard Liang
- Department of Epidemiology & Population Health, School of Medicine, Stanford University, Stanford, CA, USA
| | - Yanan Luo
- Department of Global Health, School of Public Health, Peking University, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China.
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Colin IM, Szczepanski LW, Gérard AC, Elosegi JA. Emerging Evidence for the Use of Antidiabetic Drugs, Glucagon-like Peptide 1 Receptor Agonists, for the Treatment of Alzheimer's Disease. TOUCHREVIEWS IN ENDOCRINOLOGY 2023; 19:16-24. [PMID: 37313236 PMCID: PMC10258618 DOI: 10.17925/ee.2023.19.1.16] [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: 02/24/2023] [Accepted: 04/05/2023] [Indexed: 06/15/2023]
Abstract
From an epidemiological and pathophysiological point of view, Alzheimer's disease (AD) and type 2 diabetes (T2DM) should be considered 'sister' diseases. T2DM significantly increases the risk of developing AD, and the mechanisms of neuronal degeneration themselves worsen peripheral glucose metabolism in multiple ways. The pathophysiological links between the two diseases, particularly cerebral insulin resistance, which causes neuronal degeneration, are so close that AD is sometimes referred to as 'type 3 diabetes'. Although the latest news on the therapeutic front for AD is encouraging, no treatment has been shown to halt disease progression permanently. At best, the treatments slow down the progression; at worst, they are inactive, or cause worrying side effects, preventing their use on a larger scale. Therefore, it appears logical that optimizing the metabolic milieu through preventive or curative measures can also slow down the cerebral degeneration that characterizes AD. Among the different classes of hypoglycaemic drugs, glucagon-like peptide 1 receptor agonists, which are widely used in the treatment of T2DM, were shown to slow down, or even prevent, neuronal degeneration. Data from animal, preclinical, clinical phase II, cohort and large cardiovascular outcomes studies are encouraging. Of course, randomized clinical phase III studies, which are on-going, will be essential to verify this hypothesis. Thus, for once, there is hope for slowing down the neurodegenerative processes associated with diabetes, and that hope is the focus of this review.
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Affiliation(s)
- Ides M Colin
- Endocrino-Diabetology Research Unit, Department of Internal Medicine, Centre Hospitalier Régional Mons-Hainaut/Groupe Jolimont, Mons Belgium/Groupe Helora, Mons, Belgium
| | - Lidia W Szczepanski
- Endocrino-Diabetology Research Unit, Department of Internal Medicine, Centre Hospitalier Régional Mons-Hainaut/Groupe Jolimont, Mons Belgium/Groupe Helora, Mons, Belgium
| | - Anne-Catherine Gérard
- Endocrino-Diabetology Research Unit, Department of Internal Medicine, Centre Hospitalier Régional Mons-Hainaut/Groupe Jolimont, Mons Belgium/Groupe Helora, Mons, Belgium
- Group of Animal Molecular and Cellular Biology, Louvain Institute of Biomolecular Science and Technology, Université Catholique de Louvain, Louvain-La-Neuve, Belgium
| | - Jose-Antonio Elosegi
- Neurology Unit, Centre Hospitalier Universitaire Ambroise Paré, Mons Belgium/Groupe Helora, Mons, Belgium
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Ha J, Choi DW, Kim KJ, Kim KY, Nam CM, Kim E. Pioglitazone Use and Reduced Risk of Dementia in Patients With Diabetes Mellitus With a History of Ischemic Stroke. Neurology 2023; 100:e1799-e1811. [PMID: 36792375 PMCID: PMC10136019 DOI: 10.1212/wnl.0000000000207069] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 01/03/2023] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Previous studies have reported the protective effect of pioglitazone on dementia in patients with type 2 diabetes mellitus (DM). Recent studies have shown that pioglitazone also lowers the risk of primary and recurrent stroke. Understanding the characteristics of patients particularly associated with the benefits of pioglitazone would facilitate its personalized use by specifying subpopulations during routine clinical care. The aim of this study was to examine the effects of pioglitazone use on dementia in consideration of stroke occurrence. METHODS Using nationwide longitudinal data of patients with DM from the Korean National Health Insurance Service DM cohort (2002-2017), we investigated the association of pioglitazone use with incident dementia in patients with new-onset type 2 DM. The heterogeneity of the treatment effect was examined using exploratory analyses. Using a multistate model, we assessed the extent to which incident stroke affects the association between pioglitazone use and dementia. RESULTS Pioglitazone use was associated with a reduced risk of dementia, compared with nonuse (adjusted hazard ratio [aHR] = 0.84, 95% CI 0.75-0.95); the risk reduction in dementia was greater among patients with a history of ischemic heart disease or stroke before DM onset (aHR = 0.46, 95% CI 0.24-0.90; aHR = 0.57, 95% CI 0.38-0.86, respectively). The incidence of stroke was also reduced by pioglitazone use (aHR = 0.81, 95% CI 0.66-1.00). However, when the stroke developed during the observation period of pioglitazone use, such lowered risk of dementia was not observed (aHR = 1.27, 95% CI 0.80-2.04). DISCUSSION Pioglitazone use is associated with a lower risk of dementia in patients with DM, particularly in those with a history of stroke or ischemic heart disease, suggesting the possibility of applying a personalized approach when choosing pioglitazone to suppress dementia in patients with DM.
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Affiliation(s)
- Junghee Ha
- From the Department of Psychiatry (J.H., K.Y.K., E.K.), Institute of Behavioral Science in Medicine, and Division of Geriatrics (K.J.K.), Department of Internal Medicine, and Department of Preventive Medicine (C.M.N.), and Graduate School of Medical Science (E.K.), Brain Korea 21 FOUR Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea; Cancer Big Data Center (D.-W.C.), National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Republic of Korea; and Department of Psychiatry (K.Y.K.), Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Dong-Woo Choi
- From the Department of Psychiatry (J.H., K.Y.K., E.K.), Institute of Behavioral Science in Medicine, and Division of Geriatrics (K.J.K.), Department of Internal Medicine, and Department of Preventive Medicine (C.M.N.), and Graduate School of Medical Science (E.K.), Brain Korea 21 FOUR Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea; Cancer Big Data Center (D.-W.C.), National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Republic of Korea; and Department of Psychiatry (K.Y.K.), Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Kwang Joon Kim
- From the Department of Psychiatry (J.H., K.Y.K., E.K.), Institute of Behavioral Science in Medicine, and Division of Geriatrics (K.J.K.), Department of Internal Medicine, and Department of Preventive Medicine (C.M.N.), and Graduate School of Medical Science (E.K.), Brain Korea 21 FOUR Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea; Cancer Big Data Center (D.-W.C.), National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Republic of Korea; and Department of Psychiatry (K.Y.K.), Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
| | - Keun You Kim
- From the Department of Psychiatry (J.H., K.Y.K., E.K.), Institute of Behavioral Science in Medicine, and Division of Geriatrics (K.J.K.), Department of Internal Medicine, and Department of Preventive Medicine (C.M.N.), and Graduate School of Medical Science (E.K.), Brain Korea 21 FOUR Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea; Cancer Big Data Center (D.-W.C.), National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Republic of Korea; and Department of Psychiatry (K.Y.K.), Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
| | - Chung Mo Nam
- From the Department of Psychiatry (J.H., K.Y.K., E.K.), Institute of Behavioral Science in Medicine, and Division of Geriatrics (K.J.K.), Department of Internal Medicine, and Department of Preventive Medicine (C.M.N.), and Graduate School of Medical Science (E.K.), Brain Korea 21 FOUR Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea; Cancer Big Data Center (D.-W.C.), National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Republic of Korea; and Department of Psychiatry (K.Y.K.), Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Eosu Kim
- From the Department of Psychiatry (J.H., K.Y.K., E.K.), Institute of Behavioral Science in Medicine, and Division of Geriatrics (K.J.K.), Department of Internal Medicine, and Department of Preventive Medicine (C.M.N.), and Graduate School of Medical Science (E.K.), Brain Korea 21 FOUR Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea; Cancer Big Data Center (D.-W.C.), National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Republic of Korea; and Department of Psychiatry (K.Y.K.), Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
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87
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Karazurna N, Porter C, Aytur S, Scott T, Mattei J, Feldeisen S, Gonzalez H, Mossavar-Rahmani Y, Sotres-Alvarez D, Gallo LC, Daviglus ML, Van Horn LV, Elfassy T, Gellman M, Moncrieft A, Tucker KL, Kaplan RC, Bigornia SJ. Associations between dietary fatty acid patterns and cognitive function in the Hispanic Community Health Study/Study of Latinos. Br J Nutr 2023; 129:1202-1212. [PMID: 34433507 DOI: 10.1017/s0007114521003275] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Our objective was to quantify the cross-sectional associations between dietary fatty acid (DFA) patterns and cognitive function among Hispanic/Latino adults. This study included data from 8942 participants of the Hispanic Community Health Study/Study of Latinos, a population-based cohort study (weighted age 56·2 years and proportion female 55·2 %). The National Cancer Institute method was used to estimate dietary intake from two 24-h recalls. We derived DFA patterns using principal component analysis with twenty-six fatty acid and total plant and animal MUFA input variables. Global cognitive function was calculated as the average z-score of four neurocognitive tests. Survey linear regression models included multiple potential confounders such as age, sex, education, depressive symptoms, physical activity, energy intake and CVD. DFA patterns were characterised by the consumption of long-chain SFA, animal-based MUFA and trans-fatty acids (factor 1); short to medium-chain SFA (factor 2); very-long-chain n-3 PUFA (factor 3); very-long-chain SFA and plant-based MUFA and PUFA (factor 4). Factor 2 was associated with greater scores for global cognitive function (β = 0·037 (sd 0·012)) and the Digit Symbol Substitution (DSS) (β = 0·56 (sd 0·17)), Brief Spanish English Verbal Learning-Sum (B-SEVLT) (β = 0·23 (sd 0·11)) and B-SEVLT-Recall (β = 0·11 (sd 0·05)) tests (P < 0·05 for all). Factors 1 (β = 0·04 (sd 0·01)) and 4 (β = 0·70 (sd 0·18)) were associated with the DSS test (P < 0·05 for all). The consumption of short to medium-chain SFA may be associated with higher cognitive function among US-residing Hispanic/Latino adults. Prospective studies are necessary to confirm these findings.
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Affiliation(s)
- Nicole Karazurna
- Department of Agriculture Nutrition and Food Systems, University of New Hampshire, Durham, NH, USA
| | - Caitlin Porter
- Department of Agriculture Nutrition and Food Systems, University of New Hampshire, Durham, NH, USA
| | - Semra Aytur
- Department of Health Management and Policy, University of New Hampshire, Durham, NH, USA
| | - Tammy Scott
- Department of Psychiatry, Tufts University, Boston, MA, USA
| | - Josiemer Mattei
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Cambridge, MA, USA
| | - Sabrina Feldeisen
- Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell, Lowell, MA, USA
| | - Hector Gonzalez
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, The Bronx, NY, USA
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, University of North Carolina, Gillings School of Public Health, Chapel Hill, NC, USA
| | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Martha L Daviglus
- Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Linda V Van Horn
- Department of Preventative Medicine, Northwestern University, Evanston, IL, USA
| | - Tali Elfassy
- Department of Medicine, University of Miami, Coral Gables, FL, USA
| | - Marc Gellman
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Ashley Moncrieft
- Department of Center for Applied Research Care, University of South Carolina, Columbia, SC, USA
| | - Katherine L Tucker
- Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell, Lowell, MA, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, The Bronx, NY, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Sherman J Bigornia
- Department of Agriculture Nutrition and Food Systems, University of New Hampshire, Durham, NH, USA
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88
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Lineback CM, Stamm B, Sorond F, Caprio FZ. Carotid disease, cognition, and aging: time to redefine asymptomatic disease? GeroScience 2023; 45:719-725. [PMID: 36376618 PMCID: PMC9886762 DOI: 10.1007/s11357-022-00688-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/05/2022] [Indexed: 11/16/2022] Open
Abstract
There is an increasing appreciation of the vascular contributions in the development of age-related cognitive impairment and dementia1,2. Identifying risk and maintaining cognitive health for successful aging is ever relevant in our aging population. Carotid disease, a well-established risk factor for stroke and often a harbinger of other vascular disease states, is also emerging as another vascular risk factor for age-related cognitive decline. When combined with vascular risk factors, the incidence of age-related carotid disease can be as high as 70%3,4. Historically, carotid disease has been dichotomized into two large groups in trial design, outcome measurements, and treatment decisions: symptomatic and asymptomatic carotid artery stenosis. The dichotomous distinction between asymptomatic and symptomatic carotid stenosis based on existing definitions may be limiting the care we are able to provide for patients classified as "asymptomatic" from their carotid disease. Medically, we now know that these patients should be treated with the same intensive medical therapy as those with "symptomatic" carotid disease. Emerging data also shows that hypoperfusion from asymptomatic disease may lead to significant cognitive impairment in the aging population, and it is plausible that most "age-related" cognitive changes may be reflective of vascular impairment and neurovascular dysfunction. While over the past 30 years medical, surgical, and radiological advances have pushed the field of neurovascular disease to significantly reduce the number of ischemic strokes, we are far from any meaningful interventions to prevent vascular cognitive impairment. In addition to including cognitive outcome measures, future studies of carotid disease will also benefit from including advanced neuroimaging modalities not currently utilized in standard clinical imaging protocols, such as perfusion imaging and/or functional connectivity mapping, which may provide novel data to better assess for hypoxic-ischemic changes and neurovascular dysfunction across diffuse cognitive networks. While current recommendations advise against widespread population screening for asymptomatic carotid stenosis, emerging evidence linking carotid stenosis to cognitive impairment prompts us to re-consider our approach for older patients with vascular risk factors who are at risk for cognitive decline.
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Affiliation(s)
- Christina M Lineback
- Department of Neurology, Stroke Division, University of Michigan Medical School, 1500 E Medical Dr., Ann Arbor, MI, USA.
- Davee Department of Neurology, Stroke and Neurocritical Care Division, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Brian Stamm
- Davee Department of Neurology, Stroke and Neurocritical Care Division, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Farzaneh Sorond
- Davee Department of Neurology, Stroke and Neurocritical Care Division, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Fan Z Caprio
- Davee Department of Neurology, Stroke and Neurocritical Care Division, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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89
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Abstract
This article describes the public health impact of Alzheimer's disease, including prevalence and incidence, mortality and morbidity, use and costs of care, and the overall impact on family caregivers, the dementia workforce and society. The Special Report examines the patient journey from awareness of cognitive changes to potential treatment with drugs that change the underlying biology of Alzheimer's. An estimated 6.7 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060 barring the development of medical breakthroughs to prevent, slow or cure AD. Official death certificates recorded 121,499 deaths from AD in 2019, and Alzheimer's disease was officially listed as the sixth-leading cause of death in the United States. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2019, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 145%. This trajectory of deaths from AD was likely exacerbated by the COVID-19 pandemic in 2020 and 2021. More than 11 million family members and other unpaid caregivers provided an estimated 18 billion hours of care to people with Alzheimer's or other dementias in 2022. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $339.5 billion in 2022. Its costs, however, extend to family caregivers' increased risk for emotional distress and negative mental and physical health outcomes - costs that have been aggravated by COVID-19. Members of the paid health care workforce are involved in diagnosing, treating and caring for people with dementia. In recent years, however, a shortage of such workers has developed in the United States. This shortage - brought about, in part, by COVID-19 - has occurred at a time when more members of the dementia care workforce are needed. Therefore, programs will be needed to attract workers and better train health care teams. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2023 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $345 billion. The Special Report examines whether there will be sufficient numbers of physician specialists to provide Alzheimer's care and treatment now that two drugs are available that change the underlying biology of Alzheimer's disease.
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90
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Lindvall E, Franzon K, Lundström E, Kilander L. The impact of stroke on the ability to live an independent life at old age: a community-based cohort study of Swedish men. BMC Geriatr 2023; 23:126. [PMID: 36879184 PMCID: PMC9990268 DOI: 10.1186/s12877-023-03817-1] [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: 05/25/2022] [Accepted: 02/10/2023] [Indexed: 03/08/2023] Open
Abstract
INTRODUCTION Few studies with controls from the same cohort have investigated the impact of stroke on the ability to live an independent life at old age. We aimed to analyze how great an impact being a stroke survivor would have on cognition and disability. We also analyzed the predictive value of baseline cardiovascular risk factors. METHODS We included 1147 men, free from stroke, dementia, and disability, from the Uppsala Longitudinal Study of Adult Men, between 69-74 years of age. Follow-up data were collected between the ages of 85-89 years and were available for 481 of all 509 survivors. Data on stroke diagnosis were obtained through national registries. Dementia was diagnosed through a systematic review of medical charts and in accordance with the current diagnostic criteria. The primary outcome, preserved functions, was a composite outcome comprising four criteria: no dementia, independent in personal activities of daily living, ability to walk outside unassisted, and not living in an institution. RESULTS Among 481 survivors with outcome data, 64 (13%) suffered a stroke during the follow-up. Only 31% of stroke cases, compared to 72% of non-stroke cases (adjusted OR 0.20 [95% CI 0.11-0.37]), had preserved functions. The chance of being free of dementia was 60% lower in the stroke group, OR 0.40 [95% CI 0.22-0.72]. No cardiovascular risk factors were independently able to predict preserved functions among stroke cases. CONCLUSION Stroke has long lasting consequences for many aspects of disability at very high age.
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Affiliation(s)
- Elias Lindvall
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala Academic Hospital, Neurological Reception, Sjukhusvägen, 75185, Uppsala, Sweden.
| | - Kristin Franzon
- Department of Public Health and Caring Sciences, Geriatrics, Uppsala University, Uppsala, Sweden
| | - Erik Lundström
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala Academic Hospital, Neurological Reception, Sjukhusvägen, 75185, Uppsala, Sweden
| | - Lena Kilander
- Department of Public Health and Caring Sciences, Geriatrics, Uppsala University, Uppsala, Sweden
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91
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Bukhbinder AS, Hinojosa M, Harris K, Li X, Farrell CM, Shyer M, Goodwin N, Anjum S, Hasan O, Cooper S, Sciba L, Vargas A, Hunter DH, Ortiz GJ, Chung K, Cui L, Zhang GQ, Fisher-Hoch SP, McCormick JB, Schulz PE. Population-Based Mini-Mental State Examination Norms in Adults of Mexican Heritage in the Cameron County Hispanic Cohort. J Alzheimers Dis 2023; 92:1323-1339. [PMID: 36872776 DOI: 10.3233/jad-220934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
BACKGROUND Accurately identifying cognitive changes in Mexican American (MA) adults using the Mini-Mental State Examination (MMSE) requires knowledge of population-based norms for the MMSE, a scale which has widespread use in research settings. OBJECTIVE To describe the distribution of MMSE scores in a large cohort of MA adults, assess the impact of MMSE requirements on their clinical trial eligibility, and explore which factors are most strongly associated with their MMSE scores. METHODS Visits between 2004-2021 in the Cameron County Hispanic Cohort were analyzed. Eligible participants were ≥18 years old and of Mexican descent. MMSE distributions before and after stratification by age and years of education (YOE) were assessed, as was the proportion of trial-aged (50-85- year-old) participants with MMSE <24, a minimum MMSE cutoff most frequently used in Alzheimer's disease (AD) clinical trials. As a secondary analysis, random forest models were constructed to estimate the relative association of the MMSE with potentially relevant variables. RESULTS The mean age of the sample set (n = 3,404) was 44.4 (SD, 16.0) years old and 64.5% female. Median MMSE was 28 (IQR, 28-29). The percentage of trial-aged participants (n = 1,267) with MMSE <24 was 18.6%; 54.3% among the subset with 0-4 YOE (n = 230). The five variables most associated with the MMSE in the study sample were education, age, exercise, C-reactive protein, and anxiety. CONCLUSION The minimum MMSE cutoffs in most phase III prodromal-to-mild AD trials would exclude a significant proportion of trial-aged participants in this MA cohort, including over half of those with 0-4 YOE.
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Affiliation(s)
- Avram S Bukhbinder
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.,Division of Pediatric Neurology, Massachusetts General Hospital, Boston, MA
| | - Miriam Hinojosa
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kristofer Harris
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Xiaojin Li
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Christine M Farrell
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Madison Shyer
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Nathan Goodwin
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Sahar Anjum
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Omar Hasan
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Susan Cooper
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lois Sciba
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Amanda Vargas
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - David H Hunter
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Guadalupe J Ortiz
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Karen Chung
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Licong Cui
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Guo-Qiang Zhang
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.,School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Susan P Fisher-Hoch
- Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Brownsville, TX, USA
| | - Joseph B McCormick
- Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Brownsville, TX, USA
| | - Paul E Schulz
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
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92
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Hachinski V. We are preventing some dementias now-But how? The Potamkin lecture. Alzheimers Dement 2023; 19:1067-1072. [PMID: 36134730 DOI: 10.1002/alz.12770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/07/2022] [Accepted: 07/10/2022] [Indexed: 11/09/2022]
Abstract
Most dementias are untreatable and their prevalence is increasing around the world. However, the incidence of dementia is declining in some countries. We need to find out urgently why and how and apply the lessons promptly and widely. Given the multiplicity and variability of environmental, socioeconomic, and individual risk and protective factors, the approach needs to be comprehensive, customized to work in a particular setting, and cost effective, to justify the needed funding. Stroke, heart disease, and dementia share the same major preventable risk and protective factors and pose risks for each other. Preventing them together might result in efficiencies and economies of scale. Prevention can best occur in existing actionable population health units through established leaders in government, non-governmental organizations, and the community, around a positive message of promoting brain health as the key to health, productivity, and well-being.
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Affiliation(s)
- Vladimir Hachinski
- Department of Clinical Neurological Sciences, Robarts Research Institute and University of Western Ontario, London, Ontario, Canada
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93
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Jensen M, Zeller T, Twerenbold R, Thomalla G. Circulating cardiac biomarkers, structural brain changes, and dementia: Emerging insights and perspectives. Alzheimers Dement 2023; 19:1529-1548. [PMID: 36735636 DOI: 10.1002/alz.12926] [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: 11/28/2022] [Accepted: 12/19/2022] [Indexed: 02/04/2023]
Abstract
Diseases of the heart and brain are strongly linked to each other, and cardiac dysfunction is associated with cognitive decline and dementia. This link between cardiovascular disease and dementia offers opportunities for dementia prevention through prevention and treatment of cardiovascular risk factors and heart disease. Increasing evidence suggests the clinical utility of cardiac biomarkers as risk markers for structural brain changes and cognitive impairment. We propose the hypothesis that structural brain changes are the link between impaired cardiac function, as captured by blood-based cardiac biomarkers, and cognitive impairment. This review provides an overview of the literature and illustrates emerging insights into the association of markers of hemodynamic stress (natriuretic peptides) and markers of myocardial injury (cardiac troponins) with imaging findings of brain damage and cognitive impairment or dementia. Based on these findings, we discuss potential pathophysiological mechanisms underlying the association of cardiac biomarkers with structural brain changes and dementia. We suggest testable hypotheses and a research plan to close the gaps in understanding the mechanisms linking vascular damage and neurodegeneration, and to pave the way for targeted effective interventions for dementia prevention. From a clinical perspective, cardiac biomarkers open the window for early identification of patients at risk of dementia, who represent a target population for preventive interventions targeting modifiable cardiovascular risk factors to avert cognitive decline and dementia.
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Affiliation(s)
- Märit Jensen
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,German Centre for Cardiovascular Research (DZHK e.V.), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Tanja Zeller
- German Centre for Cardiovascular Research (DZHK e.V.), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany.,University Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, Clinic for Cardiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Raphael Twerenbold
- German Centre for Cardiovascular Research (DZHK e.V.), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany.,University Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, Clinic for Cardiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,German Centre for Cardiovascular Research (DZHK e.V.), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
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94
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Left-truncated health insurance claims data: theoretical review and empirical application. ASTA ADVANCES IN STATISTICAL ANALYSIS 2023. [DOI: 10.1007/s10182-023-00471-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
AbstractFrom the inventory of the health insurer AOK in 2004, we draw a sample of a quarter million people and follow each person’s health claims continuously until 2013. Our aim is to estimate the effect of a stroke on the dementia onset probability for Germans born in the first half of the 20th century. People deceased before 2004 are randomly left-truncated, and especially their number is unknown. Filtrations, modelling the missing data, enable circumventing the unknown number of truncated persons by using a conditional likelihood. Dementia onset after 2013 is a fixed right-censoring event. For each observed health history, Jacod’s formula yields its conditional likelihood contribution. Asymptotic normality of the estimated intensities is derived, related to a sample size definition including the number of truncated people. The standard error results from the asymptotic normality and is easily computable, despite the unknown sample size. The claims data reveal that after a stroke, with time measured in years, the intensity of dementia onset increases from 0.02 to 0.07. Using the independence of the two estimated intensities, a 95% confidence interval for their difference is [0.053, 0.057]. The effect halves when we extend the analysis to an age-inhomogeneous model, but does not change further when we additionally adjust for multi-morbidity.
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95
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Buchalter RB, Gentry EG, Willis MA, McGinley MP. Disparities in spatial access to neurological care in Appalachia: a cross-sectional health services analysis. LANCET REGIONAL HEALTH. AMERICAS 2023; 18:100415. [PMID: 36844018 PMCID: PMC9950666 DOI: 10.1016/j.lana.2022.100415] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/15/2022] [Accepted: 12/02/2022] [Indexed: 12/24/2022]
Abstract
Background Appalachia is rural and socioeconomically deprived with a heavy burden of neurological disorders and poor access to healthcare providers. Rates of neurological disorders are increasing over time without equal increases in providers, indicating that Appalachian disparities are likely to worsen. Spatial access to neurological care has not been robustly explored for U.S. areas, so we aimed to examine disparities in the vulnerable Appalachian region. Methods Using 2022 CMS Care Compare physician data, we conducted a cross-sectional health services analysis, where we computed spatial accessibility of neurologists for all census tracts in the 13 states with Appalachian counties. We stratified access ratios by state, area deprivation, and rural-urban commuting area (RUCA) codes then utilized Welch two-sample t-tests to compare Appalachian tracts with non-Appalachian tracts. Using stratified results, we identified Appalachian areas where interventions would have the largest impact. Findings Appalachian tracts (n = 6169) had neurologist spatial access ratios between 25% and 35% lower than non-Appalachian tracts (n = 18,441; p < 0.001). When stratified by rurality and deprivation, three-step floating catchment area spatial access ratios for Appalachian tracts remained significantly lower in the most urban (RUCA = 1 [p < 0.0001) and most rural tracts (RUCA = 9 [p = 0.0093]; RUCA = 10 [p = 0.0227]). We identified 937 Appalachian census tracts where interventions can be targeted. Interpretation After stratifying by rural status and deprivation, significant disparities in spatial access to neurologists remained for Appalachian areas, indicating both poorer access in Appalachia and that neurologist accessibility cannot be determined solely by remoteness and socioeconomic status. These findings and our identified disparity areas have broad implications for policymaking and intervention targeting in Appalachia. Funding R.B.B. was supported by NIH Award Number T32CA094186. M.P.M. was supported by NIH-NCATS Award Number KL2TR002547.
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Affiliation(s)
- R. Blake Buchalter
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Erik G. Gentry
- Department of Neurology, University of Louisville School of Medicine, Louisville, KY, USA
| | - Mary A. Willis
- Department of Neurology, University of Mississippi Medical Center, Jackson, MS, USA
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96
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Javeed A, Dallora AL, Berglund JS, Ali A, Ali L, Anderberg P. Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions. J Med Syst 2023; 47:17. [PMID: 36720727 PMCID: PMC9889464 DOI: 10.1007/s10916-023-01906-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 01/03/2023] [Indexed: 02/02/2023]
Abstract
Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully provided automated solutions to numerous real-world problems. Healthcare is one of the most important research areas for ML researchers, with the aim of developing automated disease prediction systems. One of the disease detection problems that AI and ML researchers have focused on is dementia detection using ML methods. Numerous automated diagnostic systems based on ML techniques for early prediction of dementia have been proposed in the literature. Few systematic literature reviews (SLR) have been conducted for dementia prediction based on ML techniques in the past. However, these SLR focused on a single type of data modality for the detection of dementia. Hence, the purpose of this study is to conduct a comprehensive evaluation of ML-based automated diagnostic systems considering different types of data modalities such as images, clinical-features, and voice data. We collected the research articles from 2011 to 2022 using the keywords dementia, machine learning, feature selection, data modalities, and automated diagnostic systems. The selected articles were critically analyzed and discussed. It was observed that image data driven ML models yields promising results in terms of dementia prediction compared to other data modalities, i.e., clinical feature-based data and voice data. Furthermore, this SLR highlighted the limitations of the previously proposed automated methods for dementia and presented future directions to overcome these limitations.
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Affiliation(s)
- Ashir Javeed
- Aging Research Center, Karolinska Institutet, Tomtebodavagen, Stockholm, 17165, Solna, Sweden
- Department of Health, Blekinge Institute of Technology, Valhallavägen 1, Karlskrona, 37141, Blekinge, Sweden
| | - Ana Luiza Dallora
- Department of Health, Blekinge Institute of Technology, Valhallavägen 1, Karlskrona, 37141, Blekinge, Sweden
| | - Johan Sanmartin Berglund
- Department of Health, Blekinge Institute of Technology, Valhallavägen 1, Karlskrona, 37141, Blekinge, Sweden.
| | - Arif Ali
- Department of Computer Science, University of Science and Technology Bannu, Township, Bannu, 28100, Khyber-Pakhtunkhwa, Pakistan
| | - Liaqat Ali
- Department of Electrical Engineering, University of Science and Technology Bannu, Township, Bannu, 28100, Khyber-Pakhtunkhwa, Pakistan
| | - Peter Anderberg
- Department of Health, Blekinge Institute of Technology, Valhallavägen 1, Karlskrona, 37141, Blekinge, Sweden
- School of Health Sciences, University of Skovde, Högskolevägen 1, Skövde, SE-541 28, Skövde, Sweden
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97
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Mathew BA, Katta M, Ludhiadch A, Singh P, Munshi A. Role of tRNA-Derived Fragments in Neurological Disorders: a Review. Mol Neurobiol 2023; 60:655-671. [PMID: 36348262 DOI: 10.1007/s12035-022-03078-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 10/05/2022] [Indexed: 11/10/2022]
Abstract
tRFs are small tRNA derived fragments that are emerging as novel therapeutic targets and regulatory molecules in the pathophysiology of various neurological disorders. These are derived from precursor or mature tRNA, forming different subtypes that have been reported to be involved in neurological disorders like stroke, Alzheimer's, epilepsy, Parkinson's, MELAS, autism, and Huntington's disorder. tRFs were earlier believed to be random degradation debris of tRNAs. The significant variation in the expression level of tRFs in disease conditions indicates their salient role as key players in regulation of these disorders. Various animal studies are being carried out to decipher their exact role; however, more inputs are required to transform this research knowledge into clinical application. Future investigations also call for high-throughput technologies that could help to bring out the other hidden aspects of these entities. However, studies on tRFs require further research efforts to overcome the challenges posed in quantifying tRFs, their interactions with other molecules, and the exact mechanism of function. In this review, we are abridging the current understanding of tRFs, including their biogenesis, function, relevance in clinical therapies, and potential as diagnostic and prognostic biomarkers of these neurological disorders.
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Affiliation(s)
- Blessy Aksa Mathew
- Complex Disease Genomics and Precision Medicine Laboratory, Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, India, 151401
| | - Madhumitha Katta
- Complex Disease Genomics and Precision Medicine Laboratory, Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, India, 151401
| | - Abhilash Ludhiadch
- Complex Disease Genomics and Precision Medicine Laboratory, Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, India, 151401
| | - Paramdeep Singh
- Department of Radiology, All India Institute of Medical Sciences, Bathinda, Punjab, India, 151001
| | - Anjana Munshi
- Complex Disease Genomics and Precision Medicine Laboratory, Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, India, 151401.
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98
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Integrated Network Pharmacology and Proteomic Analyses of Targets and Mechanisms of Jianpi Tianjing Decoction in Treating Vascular Dementia. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2023; 2023:9021546. [PMID: 36714532 PMCID: PMC9876684 DOI: 10.1155/2023/9021546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/20/2022] [Accepted: 12/29/2022] [Indexed: 01/20/2023]
Abstract
Background Vascular dementia (VD), associated with cerebrovascular injury, is characterized by severe cognitive impairment. Jianpi Tianjing Decoction (JTD) has been widely used to treat VD. However, its molecular targets and mechanisms of action in this treatment remain unclear. This study integrated network pharmacology and proteomics to identify targets and mechanisms of JTD in the treatment of VD and to provide new insights and goals for clinical treatments. Methods Systematic network pharmacology was used to identify active chemical compositions, potential targets, and mechanisms of JTD in VD treatment. Then, a mouse model of VD was induced via transient bilateral common carotid artery occlusion to verify the identified targets and mechanisms of JTD against VD using 4D label-free quantitative proteomics. Results By screening active chemical compositions and potential targets in relevant databases, 187 active chemical compositions and 416 disease-related compound targets were identified. In vivo experiments showed that JTD improved learning and memory in mice. Proteomics also identified 112 differentially expressed proteins in the model and sham groups and the JTD and model groups. Integrating the network pharmacology and proteomics results revealed that JTD may regulate expressions of cytochrome c oxidase subunit 7C, metabotropic glutamate receptor 2, Slc30a1 zinc transporter 1, and apolipoprotein A-IV in VD mice and that their mechanisms involve biological processes like oxidative phosphorylation, regulation of neuron death, glutamate secretion, cellular ion homeostasis, and lipoprotein metabolism. Conclusions JTD may suppress VD development via multiple components, targets, and pathways. It may thus serve as a complementary treatment option for patients with VD.
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Kent DM, Leung LY, Zhou Y, Luetmer PH, Kallmes DF, Nelson J, Fu S, Puttock EJ, Zheng C, Liu H, Chen W. Association of Incidentally Discovered Covert Cerebrovascular Disease Identified Using Natural Language Processing and Future Dementia. J Am Heart Assoc 2023; 12:e027672. [PMID: 36565208 PMCID: PMC9973577 DOI: 10.1161/jaha.122.027672] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 11/09/2022] [Indexed: 12/25/2022]
Abstract
Background Covert cerebrovascular disease (CCD) has been shown to be associated with dementia in population-based studies with magnetic resonance imaging (MRI) screening, but dementia risk associated with incidentally discovered CCD is not known. Methods and Results Individuals aged ≥50 years enrolled in the Kaiser Permanente Southern California health system receiving head computed tomography (CT) or MRI for nonstroke indications from 2009 to 2019, without prior ischemic stroke/transient ischemic attack, dementia/Alzheimer disease, or visit reason/scan indication suggestive of cognitive decline or stroke were included. Natural language processing identified incidentally discovered covert brain infarction (id-CBI) and white matter disease (id-WMD) on the neuroimage report; white matter disease was characterized as mild, moderate, severe, or undetermined. We estimated risk of dementia associated with id-CBI and id-WMD. Among 241 050 qualified individuals, natural language processing identified 69 931 (29.0%) with id-WMD and 11 328 (4.7%) with id-CBI. Dementia incidence rates (per 1000 person-years) were 23.5 (95% CI, 22.9-24.0) for patients with id-WMD, 29.4 (95% CI, 27.9-31.0) with id-CBI, and 6.0 (95% CI, 5.8-6.2) without id-CCD. The association of id-WMD with future dementia was stronger in younger (aged <70 years) versus older (aged ≥70 years) patients and for CT- versus MRI-discovered lesions. For patients with versus without id-WMD on CT, the adjusted HR was 2.87 (95% CI, 2.58-3.19) for older and 1.87 (95% CI, 1.79-1.95) for younger patients. For patients with versus without id-WMD on MRI, the adjusted HR for dementia risk was 2.28 (95% CI, 1.99-2.62) for older and 1.48 (95% CI, 1.32-1.66) for younger patients. The adjusted HR for id-CBI was 2.02 (95% CI, 1.70-2.41) for older and 1.22 (95% CI, 1.15-1.30) for younger patients for either modality. Dementia risk was strongly correlated with id-WMD severity; adjusted HRs compared with patients who were negative for id-WMD by MRI ranged from 1.41 (95% CI, 1.25-1.60) for those with mild disease on MRI to 4.11 (95% CI, 3.58-4.72) for those with severe disease on CT. Conclusions Incidentally discovered CCD is common and associated with a high risk of dementia, representing an opportunity for prevention. The association is strengthened when discovered at younger age, by increasing id-WMD severity, and when id-WMD is detected by CT scan rather than MRI.
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Affiliation(s)
- David M. Kent
- Predictive Analytics and Comparative Effectiveness Center, Tufts Medical CenterBostonMA
| | | | - Yichen Zhou
- Department of Research and EvaluationKaiser Permanente Southern CaliforniaPasadenaCA
| | | | | | - Jason Nelson
- Predictive Analytics and Comparative Effectiveness Center, Tufts Medical CenterBostonMA
| | - Sunyang Fu
- Department of AI and InformaticsMayo ClinicRochesterMN
| | - Eric J. Puttock
- Department of Research and EvaluationKaiser Permanente Southern CaliforniaPasadenaCA
| | - Chengyi Zheng
- Department of Research and EvaluationKaiser Permanente Southern CaliforniaPasadenaCA
| | - Hongfang Liu
- Department of AI and InformaticsMayo ClinicRochesterMN
| | - Wansu Chen
- Department of Research and EvaluationKaiser Permanente Southern CaliforniaPasadenaCA
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Qeadan F, McCunn A, Tingey B, Price R, Bobay KL, English K, Madden EF. Exploring the Association Between Opioid Use Disorder and Alzheimer's Disease and Dementia Among a National Sample of the U.S. Population. J Alzheimers Dis 2023; 96:229-244. [PMID: 37742654 DOI: 10.3233/jad-230714] [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: 09/26/2023]
Abstract
BACKGROUND Past research suggests associations between heavy alcohol use and later life dementia. However, little is known about whether opioid use disorder (OUD) and dementia share this association, especially among age groups younger than 65 years old. OBJECTIVE Examine the association between OUD and Alzheimer's disease (AD) and dementia. METHODS Electronic health records between 2000 and 2021 for patients age 12 or older were identified in the Cerner Real-World database™. Patients with a prior diagnosis of dementia were excluded. Patients were followed for 1-10 years (grouped by one, three, five, and ten-year follow-up periods) in a matched retrospective cohort study. Cox proportional hazards regressions were used to estimate adjusted hazard ratios (aHRs) of incident AD/dementia stratified by age and follow-up group. RESULTS A sample of 627,810 individuals with OUD were compared to 646,340 without OUD. Individuals with OUD exhibited 88% higher risk for developing AD/dementia compared to those without OUD (aHR = 1.88, 95% CI 1.74, 2.03) within 1 year follow-up and 211% (aHR = 3.11, 95% CI 2.63, 3.69) within 10 years follow-up. When stratifying by age, younger patients (age 12-44) had a greater disparity in odds of AD/dementia between OUD and non-OUD groups compared with patients older than 65 years. CONCLUSIONS Additional research is needed to understand why an association exists between OUD and AD/dementia, especially among younger populations. The results suggest that cognitive functioning screening programs for younger people diagnosed with OUD may be useful for targeting early identification and intervention for AD/dementia in particularly high risk and marginalized populations.
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Affiliation(s)
- Fares Qeadan
- Loyola University Chicago, Parkinson School of Health Sciences and Public Health, Maywood, IL, USA
| | - Ashlie McCunn
- Loyola University Chicago, Parkinson School of Health Sciences and Public Health, Maywood, IL, USA
| | - Benjamin Tingey
- Loyola University Chicago, Parkinson School of Health Sciences and Public Health, Maywood, IL, USA
| | - Ron Price
- Loyola University Chicago, Parkinson School of Health Sciences and Public Health, Maywood, IL, USA
| | - Kathleen L Bobay
- Loyola University Chicago, Parkinson School of Health Sciences and Public Health, Maywood, IL, USA
| | - Kevin English
- Albuquerque Area Southwest Tribal Epidemiology Center, Albuquerque, NM, USA
| | - Erin F Madden
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI, USA
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