Abstract

IntroductionThe rising burden of dementia is a global concern, and there is a need to study its causes, natural history and outcomes. The Secure Anonymised Information Linkage (SAIL) Databank contains anonymised, routinely-collected healthcare data for the population of Wales, UK. It has potential to be a valuable resource for dementia research owing to its size, long follow-up time and prospective collection of data during clinical care.ObjectivesWe aimed to apply reproducible methods to create the SAIL dementia e-cohort (SAIL-DeC). We created SAIL-DeC with a view to maximising its utility for a broad range of research questions whilst minimising duplication of effort for researchers.MethodsSAIL contains individual-level, linked primary care, hospital admission, mortality and demographic data. Data are currently available until 2018 and future updates will extend participant follow-up time. We included participants who were born between 1st January 1900 and 1st January 1958 and for whom primary care data were available. We applied algorithms consisting of International Classification of Diseases (versions 9 and 10) and Read (version 2) codes to identify participants with and without all-cause dementia and dementia subtypes. We also created derived variables for comorbidities and risk factors.ResultsFrom 4.4 million unique participants in SAIL, 1.2 million met the cohort inclusion criteria, resulting in 18.8 million person-years of follow-up. Of these, 129,650 (10%) developed all-cause dementia, with 77,978 (60%) having dementia subtype codes. Alzheimer’s disease was the most common subtype diagnosis (62%). Among the dementia cases, the median duration of observation time was 14 years.ConclusionWe have created a generalisable, national dementia e-cohort, aimed at facilitating epidemiological dementia research.

Highlights

  • The rising burden of dementia is a global concern, and there is a need to study its causes, natural history and outcomes

  • By applying coding algorithms to linked routinely-collected datasets, we developed a novel DPUK cohort – the Secure Anonymised Information Linkage (SAIL) Dementia e-Cohort (SAIL-DeC)

  • We developed SAIL-DeC to maximise its generalisability and utility for a broad range of research questions and methodologies

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Summary

Introduction

The rising burden of dementia is a global concern, and there is a need to study its causes, natural history and outcomes. It has potential to be a valuable resource for dementia research owing to its size, long follow-up time and prospective collection of data during clinical care. T et al / International Journal of Population Data Science (2020) 5:1:07 cilitate and accelerate dementia research by providing a single point of access to data for >2 million participants across >38 existing cohort studies. Many of these cohorts have provided, and will continue to provide, important insights in the field of dementia. A nationwide cohort based on wholepopulation administrative data is likely to avoid this issue, as analyses based on it can be more readily generalised to other populations

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