From the Faculty of Medicine and Health (M.J.L., D.M.L., B.C.P.L., J.D.C., P.S.S.), and Centre for Healthy Brain Aging (CHeBA) (M.J.L., D.M.L., B.C.P.L., J.D.C., P.S.S.), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney; School of Psychology and Public Health (B.C.P.L.), La Trobe University, Melbourne; The George Institute for Global Health (A.E.S., R.P.), Barangaroo; School of Biomedical Sciences (R.P.), University of New South Wales, Sydney, Australia; School of Public Health (R.P.), Imperial College London, United Kingdom; School of Population Health (A.E.S.), University of New South Wales, Sydney, Australia; Neuropsychiatric Epidemiology Unit (T.R.-S., J.N., I.S.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg; Aging Research Center (T.R.-S.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; Region Västra Götaland (J.N., I.S.), Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden; Section Genomics of Neurodegenerative Diseases and Aging (J.N.), Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institute of Social Medicine (S.G.R.-H., S.R., A.P.), Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Germany; School of Psychology (S.R.), Massey University, Albany Campus, Auckland, New Zealand; Global Brain Health Institute (GBHI) (S.R.), Trinity College Dublin, Ireland; Department of Medicine and Psychiatry (A.L., C.D.-l-C.), Universidad de Zaragoza; Instituto de Investigación Sanitaria Aragón (IIS Aragón) (A.L., C.D.-l-C., E.L.), Zaragoza; CIBERSAM (A.L., C.D.-l-C., E.L.), Madrid, Spain; Department of Preventive Medicine and Public Health (E.L.), Universidad de Zaragoza, Spain; Department of Neurology (R.B.L., M.J.K., C.A.D.), and Department of Epidemiology and Population Health (R.B.L., C.A.D.), Albert Einstein College of Medicine, Bronx, NY; Department of Neuropsychiatry (K.W.K., J.W.H.), Seoul National University Bundang Hospital, Seongnam; Department of Psychiatry (K.W.K., J.W.H.), Seoul National University College of Medicine; Department of Brain and Cognitive Sciences (K.W.K.), Seoul National University College of Natural Sciences; Workplace Mental Health Institute (D.J.O.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea; Golgi Cenci Foundation (E.R., A.D., M.R.), Abbiategrasso, Milan; Department of Brain and Behavioural Sciences (E.R.), University of Pavia, Italy; 1st Department of Neurology (N.S.), Aiginition Hospital, National and Kapodistrian University of Athens, Greece; Department of Neurology (N.S.), Columbia University, New York, NY; School of Health Sciences and Education (M.Y.), Department of Nutrition and Dietetics, Harokopio University; Department of Neurology (T.D.), University Hospital of Larissa; Faculty of Medicine (T.D.), School of Health Sciences, University of Thessaly, Larissa, Greece; Department of Psychiatry (H.C.H.), Indiana University School of Medicine; Indiana Alzheimer Disease Research Center (H.C.H., S.G.), Indiana Alzheimer Disease Research Center; Department of Biostatistics and Health Data Science (S.G.), Indiana University School of Medicine, Indianapolis; Institut for Neurosciences of Montpellier INM (I.C., K.R.), University Montpellier, INSERM; Institut du Cerveau Trocadéro (K.R.), Paris, France; School of Psychology (K.J.A.), and Ageing Futures Institute (K.J.A.), University of New South Wales; Neuroscience Research Australia (K.J.A.), Sydney; National Centre for Epidemiology and Population Health (N.C.), Australian National University, Canberra, Australia; Department of Geriatric Psychiatry (S.X., L.Y., W.L.), Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine; Alzheimer's Disease and Related Disorders Center (S.X., L.Y., W.L.), Shanghai Jiao Tong University, China; Inserm U1094 (M.G., P.-M.P., V.A.), IRD UMR270, Univ. Limoges, CHU Limoges, EpiMaCT-Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, France; Laboratory of Chronic and Neurological Diseases Epidemiology (LEMACEN) (M.G.), Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin; Department of Cardiology (V.A.), Dupuytren 2 University Hospital, Limoges, France; School of Medicine (M.N.H.), University of California, San Francisco; Robert N. Butler Columbia Aging Center (A.A.), Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY; Departamento de Psiquiatria (M.S.), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Brazil; and Neuropsychiatric Institute (P.S.S.), Prince of Wales Hospital, Sydney, Australia.
Neurology. 2024 Sep 10;103(5):e209715. doi: 10.1212/WNL.0000000000209715. Epub 2024 Aug 14.
Previous randomized controlled trials and longitudinal studies have indicated that ongoing antihypertensive use in late life reduces all-cause dementia risk, but the specific impact on Alzheimer dementia (AD) and non-AD risk remains unclear. This study investigates whether previous hypertension or antihypertensive use modifies AD or non-AD risk in late life and the ideal blood pressure (BP) for risk reduction in a diverse consortium of cohort studies.
This individual participant data meta-analysis included community-based longitudinal studies of aging from a preexisting consortium. The main outcomes were risk of developing AD and non-AD. The main exposures were hypertension history/antihypertensive use and baseline systolic BP/diastolic BP. Mixed-effects Cox proportional hazards models were used to assess risk and natural splines were applied to model the relationship between BP and the dementia outcomes. The main model controlled for age, age, sex, education, ethnoracial group, and study cohort. Supplementary analyses included a fully adjusted model, an analysis restricting to those with >5 years of follow-up and models that examined the moderating effect of age, sex, and ethnoracial group.
There were 31,250 participants from 14 nations in the analysis (41% male) with a mean baseline age of 72 (SD 7.5, range 60-110) years. Participants with untreated hypertension had a 36% (hazard ratio [HR] 1.36, 95% CI 1.01-1.83, = 0.0406) and 42% (HR 1.42, 95% CI 1.08-1.87, = 0.0135) increased risk of AD compared with "healthy controls" and those with treated hypertension, respectively. Compared with "healthy controls" both those with treated (HR 1.29, 95% CI 1.03-1.60, = 0.0267) and untreated hypertension (HR 1.69, 95% CI 1.19-2.40, = 0.0032) had greater non-AD risk, but there was no difference between the treated and untreated groups. Baseline diastolic BP had a significant U-shaped relationship ( = 0.0227) with non-AD risk in an analysis restricted to those with 5-year follow-up, but otherwise there was no significant relationship between baseline BP and either AD or non-AD risk.
Antihypertensive use was associated with decreased AD but not non-AD risk throughout late life. This suggests that treating hypertension throughout late life continues to be crucial in AD risk mitigation. A single measure of BP was not associated with AD risk, but DBP may have a U-shaped relationship with non-AD risk over longer periods in late life.
先前的随机对照试验和纵向研究表明,老年人持续使用抗高血压药物可降低全因痴呆风险,但具体对阿尔茨海默病(AD)和非 AD 风险的影响仍不清楚。本研究旨在探讨既往高血压或抗高血压药物的使用是否会改变晚年 AD 或非 AD 风险,以及在一个多样化的队列研究联盟中降低风险的理想血压(BP)。
本项个体参与者数据荟萃分析纳入了来自先前联盟的基于社区的老龄化纵向研究。主要结局是 AD 和非 AD 风险。主要暴露是高血压病史/抗高血压药物使用和基线收缩压/舒张压。采用混合效应 Cox 比例风险模型评估风险,采用自然样条模型来评估 BP 与痴呆结局之间的关系。主要模型控制了年龄、性别、教育程度、种族群体和研究队列。补充分析包括完全调整模型、限制随访时间大于 5 年的分析模型以及检验年龄、性别和种族群体的调节作用的模型。
本分析纳入了来自 14 个国家的 31250 名参与者(41%为男性),平均基线年龄为 72 岁(SD 7.5,范围 60-110)。未经治疗的高血压患者 AD 风险增加 36%(风险比 [HR] 1.36,95%CI 1.01-1.83, = 0.0406),未治疗的高血压患者 AD 风险增加 42%(HR 1.42,95%CI 1.08-1.87, = 0.0135),与“健康对照者”和接受治疗的高血压患者相比。与“健康对照者”相比,治疗组(HR 1.29,95%CI 1.03-1.60, = 0.0267)和未治疗组(HR 1.69,95%CI 1.19-2.40, = 0.0032)的非 AD 风险均增加,但治疗组与未治疗组之间无差异。在限制随访时间大于 5 年的分析中,基线舒张压与非 AD 风险呈显著的 U 型关系( = 0.0227),但在其他情况下,基线 BP 与 AD 或非 AD 风险之间无显著关系。
抗高血压药物的使用与整个晚年时期 AD 但不非 AD 风险降低相关。这表明,在整个晚年时期治疗高血压对于降低 AD 风险仍然至关重要。单次血压测量与 AD 风险无关,但在晚年期间,DBP 可能与非 AD 风险呈 U 型关系。