Department of Neurology, Baylor College of Medicine, Houston, TX, USA.
The Australian eHealth Research Centre, CSIRO Health and Biosecurity, Melbourne, VIC, Australia.
J Alzheimers Dis. 2022;85(1):31-45. doi: 10.3233/JAD-210525.
Longitudinal observational cohort studies are being conducted worldwide to understand cognition, biomarkers, and the health of the aging population better. Cross-cohort comparisons and networks of registries in Alzheimer's disease (AD) foster scientific exchange, generate insights, and contribute to the evolving clinical science in AD. A scientific working group was convened with invited investigators from established cohort studies in AD, in order to form a research collaboration network as a resource to address important research questions. The Connecting Cohorts to Diminish Alzheimer's Disease (CONCORD-AD) collaboration network was created to bring together global resources and expertise, to generate insights and improve understanding of the natural history of AD, to inform design of clinical trials in all disease stages, and to plan for optimal patient access to disease-modifying therapies once they become available. The network brings together expertise and data insights from 7 cohorts across Australia, Europe, and North America. Notably, the network includes populations recruited through memory clinics as well as population-based cohorts, representing observations from individuals across the AD spectrum. This report aims to introduce the CONCORD-AD network, providing an overview of the cohorts involved, reporting the common assessments used, and describing the key characteristics of the cohort populations. Cohort study designs and baseline population characteristics are compared, and available cognitive, functional, and neuropsychiatric symptom data, as well as the frequency of biomarker assessments, are summarized. Finally, the challenges and opportunities of cross-cohort studies in AD are discussed.
正在全球范围内开展纵向观察性队列研究，以更好地了解认知、生物标志物和老龄化人口的健康状况。阿尔茨海默病（AD）的跨队列比较和登记处网络促进了科学交流、产生了新见解，并为 AD 的不断发展的临床科学做出了贡献。成立了一个科学工作组，邀请了来自 AD 既定队列研究的特邀研究人员，以形成一个研究合作网络，作为解决重要研究问题的资源。建立了“通过连接队列来减少阿尔茨海默病（CONCORD-AD）”合作网络，旨在汇集全球资源和专业知识，以深入了解 AD 的自然史，为所有疾病阶段的临床试验设计提供信息，并为一旦可用的疾病修饰疗法为患者提供最佳的获取途径做好规划。该网络汇集了来自澳大利亚、欧洲和北美的 7 个队列的专业知识和数据见解。值得注意的是，该网络包括通过记忆诊所招募的人群和基于人群的队列，代表了 AD 谱中各个个体的观察结果。本报告旨在介绍 CONCORD-AD 网络，概述所涉及的队列，报告使用的共同评估，并描述队列人群的主要特征。比较了队列研究设计和基线人口特征，并总结了可用的认知、功能和神经精神症状数据，以及生物标志物评估的频率。最后，讨论了 AD 中跨队列研究的挑战和机遇。
