Patel Raihaan, Gillis Grace, Mackay Clare E, Griffanti Ludovica, Wang Congxiyu, Ebmeier Klaus P, Suri Sana
Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 7JX, UK.
Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK.
Brain Commun. 2025 Jul 16;7(4):fcaf222. doi: 10.1093/braincomms/fcaf222. eCollection 2025.
The number of people living with dementia worldwide is projected to reach 150 million by 2050, making prevention a crucial priority for health services. The co-occurrence of two or more chronic health conditions, termed multimorbidity, occurs in up to 80% of dementia patients, making multimorbidity an important risk factor for dementia. However, we lack an understanding of the specific health conditions, and their age of onset, that drive the link between multimorbidity and dementia. Using data from 282 712 participants of the UK Biobank, we defined the sequential patterns of accumulation of 46 chronic conditions over the life course. By grouping individuals based on their life history of chronic illness, we show here that the risk of incident dementia can be stratified by both the type and timing of their accumulated chronic conditions. We identified several distinct clusters of multimorbidity throughout the lifespan (cardiometabolic, mental health, neurovascular, peripheral vascular, eye diseases and low/no multimorbidity). We observed that the odds of developing dementia varied based on when these comorbidities were diagnosed. Until midlife (age 55), the accumulation of cardiometabolic conditions, such as coronary heart disease, atrial fibrillation, and diabetes, was most strongly associated with dementia risk. However, from 55 to 70 years, the accumulation of mental health conditions, such as anxiety and depression, as well as neurovascular conditions, such as stroke and transient ischaemic attack, was associated with an over 2-fold increase in dementia risk compared with low multimorbidity. Importantly, individuals who continuously and sequentially accumulate cardiometabolic, mental health, and neurovascular conditions were at greatest risk. The age-dependent role of multimorbidity in predicting dementia risk could be used for early stratification of individuals into high- and low-risk groups and could inform targeted prevention strategies based on a person's prior history of chronic disease.
预计到2050年,全球痴呆症患者数量将达到1.5亿,这使得预防成为卫生服务的关键优先事项。两种或更多慢性健康状况同时出现,即所谓的共病,在高达80%的痴呆症患者中存在,这使得共病成为痴呆症的一个重要风险因素。然而,我们并不了解导致共病与痴呆症之间联系的具体健康状况及其发病年龄。利用英国生物银行282712名参与者的数据,我们定义了46种慢性疾病在生命历程中的累积顺序模式。通过根据个体的慢性病病史对其进行分组,我们在此表明,新发痴呆症的风险可以根据其累积慢性病的类型和时间进行分层。我们在整个生命周期中识别出了几个不同的共病集群(心脏代谢、心理健康、神经血管、外周血管、眼部疾病和低/无共病)。我们观察到,患痴呆症的几率因这些合并症的诊断时间而异。在中年(55岁)之前,心脏代谢疾病如冠心病、心房颤动和糖尿病的累积与痴呆症风险的关联最为强烈。然而,在55至70岁之间,心理健康疾病如焦虑和抑郁以及神经血管疾病如中风和短暂性脑缺血发作的累积与低共病相比,痴呆症风险增加了两倍多。重要的是,持续且依次累积心脏代谢、心理健康和神经血管疾病的个体风险最大。共病在预测痴呆症风险中随年龄变化的作用可用于将个体早期分层为高风险和低风险组,并可为基于个人既往慢性病病史的针对性预防策略提供信息。