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Alagiakrishnan K, Halverson T, Ahmed A, Frishman WH, Aronow WS. Hypertension and Cognitive Disorders. Cardiol Rev 2024:00045415-990000000-00385. [PMID: 39714291 DOI: 10.1097/crd.0000000000000825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2024]
Abstract
Systemic hypertension is possibly the most important modifiable risk factor for the development of cognitive decline, both for mild cognitive impairment (MCI) and dementia. For effective blood pressure (BP) control, it requires proper assessment, using brachial, central, and ambulatory measurements, and monitoring with a focus on different BP parameters. Different BP parameters like pulse pressure, mean arterial pressure, BP variability, and circadian parameters, like nondippers and early morning surge, should be considered in the evaluation for the risk of cognitive decline due to hypertension in middle age and older adults. Chronic hypertension causes vascular remodeling in the brain and leads to brain failure or cognitive decline. Achieving specific BP goals can improve clinical outcomes and possibly slow down cognitive decline for patients with comorbid hypertension and cognitive impairment.
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Affiliation(s)
| | - Tyler Halverson
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Ali Ahmed
- Department of Medicine, Washington, DC VA Medical Center, George Washington University School of Medicine, and Georgetown University School of Medicine, Washington, DC
| | | | - Wilbert S Aronow
- Departments of Cardiology and Medicine, Westchester Medical Center and New York Medical College, Valhalla, NY
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Liu H, Wang Y, Zhang B, Liu J, Huo Y, Cao S, Wu S, Wan Y, Xie X, Zeng L, Yan H, Dang S, Mi B. Associations between long-term blood pressure trajectory and all-cause and CVD mortality among old people in China. Front Cardiovasc Med 2023; 10:1157327. [PMID: 37663420 PMCID: PMC10471127 DOI: 10.3389/fcvm.2023.1157327] [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: 02/02/2023] [Accepted: 08/03/2023] [Indexed: 09/05/2023] Open
Abstract
Background Optimal blood pressure (BP) management strategy among the elderly remains controversial, with insufficient consideration of long-term BP trajectory. This study aimed to identify BP trajectory patterns as well as terminal BP trajectory among the Chinese elderly and to explore the relationships between BP trajectories and all-cause mortality and cardiovascular disease (CVD) mortality. Methods We included 11,181 participants older than 60 at baseline (mean age, 80.98 ± 10.71) with 42,871 routine BP measurements from the Chinese Longitudinal Healthy Longevity Survey. Latent class trajectory analysis and Cox proportional hazard model were conducted to identify trajectory patterns and their associations with mortality. Furthermore, we also applied mixed-effects model to identify terminal BP trajectories among the elderly. Results Compared with stable at normal high level trajectory, excess systolic BP (SBP) trajectory with decreasing trend was associated with a 34% (HR = 1.34, 95% CI: 1.23-1.45) higher risk of all-cause mortality. Considering the competing risk of non-CVD death, excess BP trajectory with decreasing trend had a more pronounced effect on CVD mortality, in which HR (95% CI) was 1.67 (1.17, 2.37). Similar results were also found in diastolic BP (DBP), pulse pressure (PP), and mean arterial pressure (MAP) trajectories. We further conducted a mixed-effects model and observed that SBP and PP trajectories first increased and began to decline slightly six years before death. In contrast, DBP and MAP showed continuous decline 15 years before death. Conclusion Long-term BP trajectory was associated with all-cause mortality, especially CVD mortality. Keeping a stable BP over time may be an important way for CVD prevention among the elderly.
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Affiliation(s)
- Huimeng Liu
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
| | - Yutong Wang
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Binyan Zhang
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Jingchun Liu
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Yating Huo
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Suixia Cao
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Yong Wan
- Department of Geriatric Surgery, First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, China
| | - Xinming Xie
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China
| | - Lingxia Zeng
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Hong Yan
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Shaonong Dang
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Baibing Mi
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Geriatric Surgery, First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, China
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China
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Yao Q, Jiang K, Lin F, Zhu T, Khan NH, Jiang E. Pathophysiological Association of Alzheimer's Disease and Hypertension: A Clinical Concern for Elderly Population. Clin Interv Aging 2023; 18:713-728. [PMID: 37181536 PMCID: PMC10167960 DOI: 10.2147/cia.s400527] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 04/22/2023] [Indexed: 05/16/2023] Open
Abstract
Alzheimer's disease (AD), the most common cause of dementia and the fifth leading cause of death in the adult population has a complex pathophysiological link with hypertension (HTN). A growing volume of published literature on a parallel elevation of blood pressure (BP), amyloid plaques, and neurofibrillary tangles formation in post-middle of human brain cells has developed new, widely accepting foundations on this association. In particular, HTN in elderly life mediates cerebral blood flow dysfunction, neuronal dysfunction, and significant decline in cognitive impairment, primarily in the late-life populace, governing the onset of AD. Thus, HTN is an established risk factor for AD. Considering the impact of AD, 1.89 million deaths annually, and the failure of palliative therapies to cure AD, the scientific research community is looking to adopt integrated approaches to target early modified risk factors like HTN to reduce AD burden. The current review highlights the significance and impact of HTN-based prevention in lowering the AD burden in the elderly by providing a comprehensive overview of the physiological relationship between AD and HTN with an in-detail explanation of the role and applications of pathological biomarkers in this clinical association. The review will gain worth in presenting new insights and providing inclusive discussion on the correlation between HTN and cognitive impairment. It will increase across a wider scientific audience to expand understanding of this pathophysiological association.
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Affiliation(s)
- Qianqian Yao
- Institute of Nursing and Health, Henan University, Kaifeng, People’s Republic of China
| | - Kexin Jiang
- Institute of Nursing and Health, Henan University, Kaifeng, People’s Republic of China
| | - Fei Lin
- School of Medicine, Shangqiu Institute of Technology, Shangqiu, People’s Republic of China
| | - Tao Zhu
- Department of Geriatrics, Kaifeng Traditional Chinese Medicine Hospital, Kaifeng, People’s Republic of China
| | - Nazeer Hussain Khan
- Institute of Nursing and Health, Henan University, Kaifeng, People’s Republic of China
- Henan International Joint Laboratory for Nuclear Protein Regulation, Henan University, Kaifeng, People’s Republic of China
| | - Enshe Jiang
- Institute of Nursing and Health, Henan University, Kaifeng, People’s Republic of China
- Henan International Joint Laboratory for Nuclear Protein Regulation, Henan University, Kaifeng, People’s Republic of China
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Chuang SY, Liu WL, Chang HY, Hsu CC, Pan WH. Central obesity and elevated blood pressure in middle life are associated with physical and cognitive impairment in later life: A retrospective design with repeated measures. Exp Gerontol 2023; 173:112093. [PMID: 36669710 DOI: 10.1016/j.exger.2023.112093] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 01/11/2023] [Accepted: 01/16/2023] [Indexed: 01/19/2023]
Abstract
BACKGROUND AND AIMS Physical and cognitive function decline indicates the prestage of disability and is associated with mortality among older adults. We investigated the association of metabolic disorders in midlife with physical and cognitive function decline in later life in a retrospective cohort. MATERIAL AND METHODS A total of 618 older adults aged ≥60 years in wave-6 (2014-2017) were enrolled in the Cardiovascular Disease Risk Factor Two-Township Study to evaluate physical (hand grip strength and 4-m walking speed) and cognitive function (Mine-Mental State Examination [MMSE] score). Repeated metabolic disorder measures in wave-2, wave-3, and wave-5 were obtained to identify three trajectory pattern groups according to each metabolic disorder through group-based trajectory modeling. Linear and logistic regressions were conducted to investigate the association of metabolic disorders in middle life with physical and cognitive function decline in later life. RESULTS The prevalence rates of a weak hand grip (<28 kg for men and <18 kg for women), slow walking speed (<0.8 m/s), and poor cognitive function (MMSE <25) were 24.43 %, 16.83 % and 10.5 %, respectively, among the older adults. In the retrospective cohort with 15-year follow-up, those with a waist circumference of ≥95 cm for men and ≥85 cm for women in middle life exhibited a significantly weak hand grip (odds ratio: 2.78 [95 % confidence interval: 1.26, 6.11]) and slow walking speed (2.26 [1.15, 4.43]) in later life compared with those with a smaller waist circumference (<85 cm for men and <75 cm for women). Elevated blood pressure (systolic blood pressure [BP] ≥130 mmHg or diastolic BP ≥80 mmHg) was significantly associated with a higher risk of cognitive function decline in later life. Furthermore, the high-trajectory and middle-trajectory groups' body mass index (3.17 [1.25, 8.04] and 2.27 [1.28, 4.00], respectively) and waist circumference (4.39 [2.07, 9.31] and 2.54 [1.39, 4.67], respectively) were significantly associated with a weak hand grip and slow walking speed, respectively, compared with those of the low-trajectory group. The high-trajectory diastolic BP group was significantly associated with a higher risk of cognitive function decline compared with the low-trajectory diastolic BP group. CONCLUSION Waist circumference and BP in middle life were associated with physical function decline and poor cognitive function in later life. The management of central obesity and BP in midlife may slow the decline of physical and cognitive function in later life.
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Affiliation(s)
- Shao-Yuan Chuang
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan, ROC.
| | - Wen-Ling Liu
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan, ROC
| | - Hsing-Yi Chang
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan, ROC
| | - Chih-Cheng Hsu
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan, ROC; National Center for Geriatrics and Welfare Research, National Health Research Institutes, Yunlin, Taiwan
| | - Wen-Harn Pan
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan, ROC; Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan, ROC; Department of Nutrition Food and Health Biotechnology, Asia University, Taichung, Taiwan
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Duan X, Dang Y, Kang C, Rong P, Yan M, Zhang S, Cui J, Zhao Y, Chen F, Zhou J, Wang D, Pei L. Associations between trajectories of cardiovascular risk factor change and cognitive impairment in Chinese elderly: A nationwide cohort study. Front Aging Neurosci 2023; 15:1084136. [PMID: 36845661 PMCID: PMC9950264 DOI: 10.3389/fnagi.2023.1084136] [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: 10/30/2022] [Accepted: 01/23/2023] [Indexed: 02/12/2023] Open
Abstract
Objectives This study aimed to investigate the relationship between long-term trajectories of changes in cardiovascular risk factors (CVRFs) and the risk of cognitive impairment among Chinese adults over 60 years old. Methods Data were obtained from the Chinese Longitudinal Healthy Longevity Survey 2005-2018. Cognitive function was evaluated longitudinally through the Chinese version of the Mini-Mental State Examination (C-MMSE), and cognitive impairment (C-MMSE ≤23) was used as the main outcome variable. The cardiovascular risk factors, including systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), pulse pressure (PP), and body mass index (BMI), were continuously measured in the follow-up duration. The patterns of trajectories of changes in CVRFs were derived from the latent growth mixture model (LGMM). The Cox regression model was used to evaluate the cognitive impairment hazard ratio (HR) across different CVRF trajectories. Results A total of 5,164 participants aged ≥60 years with normal cognitive function at baseline were included in the study. After a median follow-up of 8 years, 2,071 participants (40.1%) developed cognitive impairment (C-MMSE ≤ 23). The four-class trajectories of SBP and BMI were obtained by means of LGMM, and the trajectories of DBP, MAP, and PP were grouped into a three-class subgroup. In the final adjusted Cox model, the lowered SBP [adjusted HR (aHR): 1.59; 95% CI: 1.17-2.16], lowered PP (aHR: 2.64; 95% CI: 1.66-4.19), and progressively obese (aHR: 1.28; 95% CI: 1.02-1.62) and stable slim (aHR: 1.13; 95% CI: 1.02-1.25) were associated with the higher risk of cognitive impairment. Low stable DBP (aHR: 0.80; 95% CI: 0.66-0.96) and elevated PP (aHR: 0.76; 95% CI: 0.63-0.92) decreased the risk for cognitive impairment among participants. Conclusion Lowered SBP, lowered PP, progressive obesity, and stable slim increased the risk for cognitive impairment in the Chinese elderly. Low stable DBP and elevated PP were protective against cognitive impairment, but more DBP lowering and ≥25 mmHg growth in PP contributed to a higher risk of cognitive impairment. The findings have important implications for preventing cognitive impairment in elder adults based on the long-term trajectories of changes in CVRFs.
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Affiliation(s)
- Xinyu Duan
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Yusong Dang
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Chenxi Kang
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Peixi Rong
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Mingxin Yan
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Shutong Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Jing Cui
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Yaling Zhao
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Fangyao Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Jing Zhou
- Department of Pediatrics, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Duolao Wang
- Biostatistics Unit, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom,Department of Neurology, Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Leilei Pei
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China,*Correspondence: Leilei Pei, ✉
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Liu M, Tian H, Sun S, Tian X, Wang W, Wu Y. The association of pulse pressure change with memory decline in middle-aged and older adults. J Am Geriatr Soc 2023; 71:423-431. [PMID: 36289057 DOI: 10.1111/jgs.18095] [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: 04/21/2022] [Revised: 09/24/2022] [Accepted: 10/01/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Less is known regarding the association of pulse pressure (PP) with memory function. This study aimed to characterize long-term patterns of PP in middle-aged and older adults and explore their impact on subsequent change in memory function. METHODS Data from the English Longitudinal Study of Ageing (ELSA, 2004-2018), were analyzed. Totally, 3587 dementia-free participants with three measurements of BP were included. All three visits of PP (2004-2012) were used to characterize longitudinal patterns of PP by group-based trajectory modeling (GBTM). Generalized estimating equation (GEE) models were fitted to explore the impact of PP trajectories on change in memory over a subsequent 6-year period (2012-2018). RESULTS Using GBTM, three distinct trajectories of PP were identified: low-stable (38.1%), moderate-stable (48.6%), and elevated-increasing group (13.3%). GEE model suggested that memory declined over a 6-year period in all PP trajectories (all Ptime <0.001). The overall interactions between patterns of PP changes and time with memory were statistically significant (χ2 interaction = 20.69, p = 0.002). Compared to participants in the low-stable group, those in the moderate-stable and elevated-increasing group exhibited a faster decline in memory. CONCLUSIONS Longitudinal patterns of moderate-stable and elevated-increasing PP were associated with an accelerated decrease in memory. Controlling BP instability may be a promising interventional strategy for preventing cognitive decline among older adults.
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Affiliation(s)
- Mengli Liu
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China.,Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China
| | - Huimin Tian
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Shuqin Sun
- Department of Geriatrics, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiaocao Tian
- Department of Chronic Noncommunicable Disease Control and Prevention, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
| | - Weijing Wang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Yili Wu
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
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Tayler HM, MacLachlan R, Güzel Ö, Miners JS, Love S. Elevated late-life blood pressure may maintain brain oxygenation and slow amyloid-β accumulation at the expense of cerebral vascular damage. Brain Commun 2023; 5:fcad112. [PMID: 37113314 PMCID: PMC10128877 DOI: 10.1093/braincomms/fcad112] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 02/16/2023] [Accepted: 04/03/2023] [Indexed: 04/29/2023] Open
Abstract
Hypertension in midlife contributes to cognitive decline and is a modifiable risk factor for dementia. The relationship between late-life hypertension and dementia is less clear. We have investigated the relationship of blood pressure and hypertensive status during late life (after 65 years) to post-mortem markers of Alzheimer's disease (amyloid-β and tau loads); arteriolosclerosis and cerebral amyloid angiopathy; and to biochemical measures of ante-mortem cerebral oxygenation (the myelin-associated glycoprotein:proteolipid protein-1 ratio, which is reduced in chronically hypoperfused brain tissue, and the level of vascular endothelial growth factor-A, which is upregulated by tissue hypoxia); blood-brain barrier damage (indicated by an increase in parenchymal fibrinogen); and pericyte content (platelet-derived growth factor receptor β, which declines with pericyte loss), in Alzheimer's disease (n = 75), vascular (n = 20) and mixed dementia (n = 31) cohorts. Systolic and diastolic blood pressure measurements were obtained retrospectively from clinical records. Non-amyloid small vessel disease and cerebral amyloid angiopathy were scored semiquantitatively. Amyloid-β and tau loads were assessed by field fraction measurement in immunolabelled sections of frontal and parietal lobes. Homogenates of frozen tissue from the contralateral frontal and parietal lobes (cortex and white matter) were used to measure markers of vascular function by enzyme-linked immunosorbent assay. Diastolic (but not systolic) blood pressure was associated with the preservation of cerebral oxygenation, correlating positively with the ratio of myelin-associated glycoprotein to proteolipid protein-1 and negatively with vascular endothelial growth factor-A in both the frontal and parietal cortices. Diastolic blood pressure correlated negatively with parenchymal amyloid-β in the parietal cortex. In dementia cases, elevated late-life diastolic blood pressure was associated with more severe arteriolosclerosis and cerebral amyloid angiopathy, and diastolic blood pressure correlated positively with parenchymal fibrinogen, indicating blood-brain barrier breakdown in both regions of the cortex. Systolic blood pressure was related to lower platelet-derived growth factor receptor β in controls in the frontal cortex and in dementia cases in the superficial white matter. We found no association between blood pressure and tau. Our findings demonstrate a complex relationship between late-life blood pressure, disease pathology and vascular function in dementia. We suggest that hypertension helps to reduce cerebral ischaemia (and may slow amyloid-β accumulation) in the face of increasing cerebral vascular resistance, but exacerbates vascular pathology.
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Affiliation(s)
- Hannah M Tayler
- Dementia Research Group, Institute of Clinical Neurosciences, Bristol Medical School, University of Bristol, Bristol, BS10 5NB, UK
| | - Robert MacLachlan
- Dementia Research Group, Institute of Clinical Neurosciences, Bristol Medical School, University of Bristol, Bristol, BS10 5NB, UK
| | - Özge Güzel
- Dementia Research Group, Institute of Clinical Neurosciences, Bristol Medical School, University of Bristol, Bristol, BS10 5NB, UK
| | - J Scott Miners
- Dementia Research Group, Institute of Clinical Neurosciences, Bristol Medical School, University of Bristol, Bristol, BS10 5NB, UK
| | - Seth Love
- Correspondence to: Seth Love South West Dementia Brain Bank, University of Bristol Learning & Research Level 1, Southmead Hospital, Bristol, BS10 5NB, UK E-mail:
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Wei J, Xu H, Zhang D, Tang H, Wang T, Steck SE, Divers J, Zhang J, Merchant AT. Initiation of Antihypertensive Medication from Midlife on Incident Dementia: The Health and Retirement Study. J Alzheimers Dis 2023; 94:1431-1441. [PMID: 37424471 DOI: 10.3233/jad-230398] [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: 07/11/2023]
Abstract
BACKGROUND Hypertension has been identified as a risk factor of dementia, but most randomized trials did not show efficacy in reducing the risk of dementia. Midlife hypertension may be a target for intervention, but it is infeasible to conduct a trial initiating antihypertensive medication from midlife till dementia occurs late life. OBJECTIVE We aimed to emulate a target trial to estimate the effectiveness of initiating antihypertensive medication from midlife on reducing incident dementia using observational data. METHODS The Health and Retirement Study from 1996 to 2018 was used to emulate a target trial among non-institutional dementia-free subjects aged 45 to 65 years. Dementia status was determined using algorithm based on cognitive tests. Individuals were assigned to initiating antihypertensive medication or not, based on the self-reported use of antihypertensive medication at baseline in 1996. Observational analog of intention-to-treat and per-protocol effects were conducted. Pooled logistic regression models with inverse-probability of treatment and censoring weighting using logistic regression models were applied, and risk ratios (RRs) were calculated, with 200 bootstrapping conducted for the 95% confidence intervals (CIs). RESULTS A total of 2,375 subjects were included in the analysis. After 22 years of follow-up, initiating antihypertensive medication reduced incident dementia by 22% (RR = 0.78, 95% CI: 0.63, 0.99). No significant reduction of incident dementia was observed with sustained use of antihypertensive medication. CONCLUSION Initiating antihypertensive medication from midlife may be beneficial for reducing incident dementia in late life. Future studies are warranted to estimate the effectiveness using large samples with improved clinical measurements.
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Affiliation(s)
- Jingkai Wei
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Hanzhang Xu
- Department of Family Medicine and Community Health, School of Medicine, Duke University, Durham, NC, USA
- School of Nursing, Duke University, Durham, NC, USA
| | - Donglan Zhang
- New York University Langone Health, New York, NY, USA
- Long Island School of Medicine, New York University, New York, NY, USA
| | - Huilin Tang
- Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, USA
| | - Tiansheng Wang
- Department of Epidemiology, Gilllings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Susan E Steck
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Jasmin Divers
- New York University Langone Health, New York, NY, USA
- Long Island School of Medicine, New York University, New York, NY, USA
| | - Jiajia Zhang
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Anwar T Merchant
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
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