Cohort profile for the creation of the SAIL MELD-B e-cohort (SMC) and SAIL MELD-B children and Young adult e-cohort (SMYC)

Abstract

Purpose: we have established the SAIL MELD-B electronic cohort (e-cohort SMC) and the SAIL MELD-B children and Young adults e-cohort (SMYC) as a part of the Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity (MELD-B) project. Each cohort has been created to investigate and develop a deeper understanding of the lived experience of the ‘burdensomeness’ of multimorbidity by identifying new clusters of burdensomeness indicators, exploring early life risk factors of multimorbidity and modelling hypothetical prevention scenarios.

Participants: the SMC and SMYC are longitudinal e-cohorts created from routinely-collected individual-level population-scale anonymised data sources available within the Secure Anonymised Information Linkage (SAIL) Databank. They include individuals with available records from linked health and demographic data sources in SAIL at any time between 1st January 2000 and 31st December 2022. The SMYC e-cohort is a subset of the SMC, including only individuals born on or after the cohort start date.

Findings to date: the SMC and SMYC cohorts include 5,180,602 (50.3% female and 49.7% male) and 896,155 (48.7% female and 51.3% male) individuals respectively. Considering both primary and secondary care health data, the five most common long-term conditions for individuals in SMC are ‘Depression’, affecting 21.6% of the cohort, ‘Anxiety’ (21.1%), ‘Asthma’ (17.5%), ‘Hypertension’ (16.2%) and ‘Atopic Eczema’ (14.1%), and the five most common conditions for individuals in SMYC are ‘Atopic Eczema’ (21.2%), ‘Asthma’ (11.6%), ‘Anxiety’ (6.0%), ‘Deafness’ (4.6%) and ‘Depression’ (4.3%).

Future plans: the SMC and SMYC e-cohorts have been developed using a reproducible, maintainable concept curation pipeline, which allows for the cohorts to be updated dynamically over time and manages for the request and processing of further approved long-term conditions and burdensomeness indicators extraction. Best practices from the MELD-B project can be utilised across other projects, accessing similar data with population-scale data sources and trusted research environments.

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Identifiers

ORCID for Jakub Dylag: orcid.org/0000-0001-6263-7339

ORCID for Nisreen A. Alwan: orcid.org/0000-0002-4134-8463

ORCID for Ann Berrington: orcid.org/0000-0002-1683-6668

ORCID for Michael Boniface: orcid.org/0000-0002-9281-6095

ORCID for Nic Fair: orcid.org/0000-0003-1566-4689

ORCID for Emilia Holland: orcid.org/0000-0001-5722-3836

ORCID for Rebecca B. Hoyle: orcid.org/0000-0002-1645-1071

ORCID for Mozhdeh Shiranirad: orcid.org/0000-0003-4346-3059

ORCID for Simon D.S. Fraser: orcid.org/0000-0002-4172-4406

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