Rethinking the detection and diagnosis of Alzheimer’s disease: Outcomes of a European Brain Council project

IF 1.7 Q3 CLINICAL NEUROLOGY Aging brain Pub Date : 2023-01-01 DOI:10.1016/j.nbas.2023.100093
Annette Dumas, Frédéric Destrebecq, Giovanni Esposito, Dominika Suchonova, Kristian Steen Frederiksen
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Abstract

Alzheimer’s disease (AD), the most common form of dementia, is a progressive and debilitating neurodegenerative condition which robs people of their memory, their independence, their relationships and, ultimately, their lives. It affects close to 7 million people in the European Union (EU) alone.

The detection and diagnosis of AD relies on a system that remains focused on the late stage of the disease, despite a better understanding of the disease progression. Clinical practice and healthcare systems’ readiness to detect, diagnose and treat the disease effectively are still lagging. The use of biomarkers (cerebrospinal fluid tests (CSF) and positron emission tomography scans (PET)), which are central to a diagnostic assessment for people with AD symptoms, as well as relevant diagnostic facilities are under-utilised. PET imaging is expensive and of limited availability, and CSF sampling may be considered invasive.

The European Brain Council’s ‘Rethinking Alzheimer’s disease: Detection and diagnosis’ White Paper has looked at the barriers to early diagnosis and how the healthcare systems infrastructure for detection and diagnosis of AD need to be transformed in order for people with AD to benefit from innovative solutions once they become approved for use.

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重新思考阿尔茨海默病的检测和诊断:欧洲大脑理事会项目的结果
阿尔茨海默病(AD)是最常见的痴呆症形式,是一种进行性和使人衰弱的神经退行性疾病,它剥夺了人们的记忆、独立性、人际关系,并最终剥夺了他们的生命。仅在欧盟,它就影响了近700万人。尽管对疾病进展有了更好的了解,但阿尔茨海默病的检测和诊断仍然依赖于一个专注于疾病晚期的系统。临床实践和卫生保健系统在有效检测、诊断和治疗该疾病方面的准备仍然滞后。生物标志物(脑脊液试验(CSF)和正电子发射断层扫描(PET))的使用,以及相关诊断设施的利用不足,这是对AD症状患者进行诊断评估的核心。PET成像昂贵且可用性有限,脑脊液取样可能被认为是侵入性的。欧洲大脑理事会的“重新思考阿尔茨海默病:检测和诊断”白皮书研究了早期诊断的障碍,以及如何改造用于阿尔茨海默病检测和诊断的医疗保健系统基础设施,以便阿尔茨海默病患者在获得批准使用后从创新解决方案中受益。
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Aging brain
Aging brain Neuroscience (General), Geriatrics and Gerontology
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