The lifetime accumulation of multimorbidity and its influence on dementia risk: a UK Biobank Study
Patel, R.; Mackay, C. E.; Griffanti, L.; Gillis, G.; Ebmeier, K.; Suri, S.
Show abstract
The number of people living with dementia worldwide is projected to reach 150 million by 2050, making prevention a crucial priority for health services1. The co-occurrence of two or more chronic health conditions, termed multimorbidity, occurs in up to 80% of dementia patients2, raising the potential of multimorbidity as an important risk factor for dementia. However, precise understanding of which specific conditions, as well as their age of onset, drive the link between multimorbidity and dementia is unclear. We defined the patterns of accumulation of 46 chronic conditions over their lifetime in 282,712 individuals from the UK Biobank. By grouping individuals based on their life-history of chronic illness, we show here that 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, and their associated risks varied in an age-specific manner. Compared to low multimorbidity, cardiometabolic and neurovascular conditions acquired before 55 years were most strongly associated with dementia. Acquisition of mental health and neurovascular conditions between the ages of 55 and 70 was associated with an over two-fold increase in dementia risk compared to low multimorbidity. 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 inform targeted prevention strategies based on a persons prior history of chronic disease.
Matching journals
The top 14 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Dementia Risk Analysis Using Temporal Event Modeling on a Large Real-World Dataset 94%
- Cross-classification between self-rated health and health status: longitudinal analyses of all-cause mortality and leading causes of death in the UK 93%
- Understanding multimorbidity trajectories in Scotland: an application of sequence analysis 93%
Similar papers in this journal
- Association of social isolation, loneliness, and genetic risk with incidence of dementia: UK Biobank cohort study 95%
- Re-contacting biobank participants: lessons from a pilot study within FinnGen 92%
- Diabetes and Cognitive Health in India: A Nationally Representative Survey of Adults Aged 45 Years and Older 92%
Similar papers in this journal
- Social isolation is linked to classical risk factors of Alzheimer's disease-related dementias 95%
- Examining heterogeneity in dementia using data-driven unsupervised clustering of cognitive profiles 93%
- Identifying incident dementia by applying machine learning to a very large administrative claims dataset 92%
Similar papers in this journal
- Identifying healthy individuals with Alzheimer neuroimaging phenotypes in the UK Biobank 93%
- Leveraging electronic health records to examine differential clinical outcomes in people with Alzheimer's Disease 93%
- Stratification of Alzheimer's Disease Patients Using Knowledge-Guided Unsupervised Latent Factor Clustering with Electronic Health Record Data 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.