Chiovoloni Roberta, Dylag Jakub J, Alwan Nisreen A, Berrington Ann, Boniface Michael, Fair Nic, Holland Emilia, Hoyle Rebecca, Shiranirad Mozhdeh, Stannard Sebastian, Zlatev Zlatko, Owen Rhiannon K, Fraser Simon, Akbari Ashley
Population Data Science, Faculty of Medicine, Swansea University Medical School, Swansea, UK
School of Electronics and Computer Science, University of Southampton, Southampton, UK.
BMJ Open. 2025 Jan 7;15(1):e087946. doi: 10.1136/bmjopen-2024-087946.
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 concepts, exploring early life risk factors of multimorbidity and modelling hypothetical prevention scenarios.
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 1 January 2000 and 31 December 2022. The SMYC e-cohort is a subset of the SMC, including only individuals born on or after the cohort start 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%).
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 concepts 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.
作为多学科生态系统的一部分，我们建立了SAIL MELD-B电子队列（电子队列SMC）和SAIL MELD-B儿童及青年电子队列（SMYC），以研究生命历程决定因素和预防早发性负担多重疾病（MELD-B）项目。每个队列的创建都是为了通过识别新的负担概念集群、探索多重疾病的早期生活风险因素以及模拟假设的预防方案，来调查和更深入地了解多重疾病“负担”的实际体验。
SMC和SMYC是纵向电子队列，由安全匿名信息链接（SAIL）数据库中常规收集的个体层面人口规模匿名数据源创建。它们包括在2000年1月1日至2022年12月31日期间任何时间在SAIL中有来自关联健康和人口数据来源的可用记录的个体。SMYC电子队列是SMC的一个子集，仅包括在队列开始日期或之后出生的个体。
SMC和SMYC队列分别包括5180602名个体（女性占50.3%，男性占49.7%）和896155名个体（女性占48.7%，男性占51.3%）。考虑到初级和二级医疗健康数据，SMC中个体最常见的五种长期疾病是“抑郁症”，影响队列中的21.6%，“焦虑症”（21.1%），“哮喘”（17.5%），“高血压”（16.）和“特应性皮炎”（14.1%）；SMYC中个体最常见的五种疾病是“特应性皮炎”（21.2%），“哮喘”（11.6%），“焦虑症”（6.0%），“耳聋”（4.6%）和“抑郁症”（4.3%）。
SMC和SMYC电子队列是使用可重复、可维护的概念策划流程开发的，这使得队列能够随着时间动态更新，并管理对进一步批准的长期疾病和负担概念提取的请求和处理。MELD-B项目的最佳实践可应用于其他项目，利用具有人口规模数据源和可信研究环境的类似数据。
