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The Dutch Parelsnoer Institute - Neurodegenerative diseases; methods, design and baseline results

By P. (Pauline) Aalten, I.H.G.B. (Inez H.G.B.) Ramakers, G.J. (Geert Jan) Biessels, P.P. (Peter) de Deyn, H.L. (Huiberdina L.) Koek, M.G.M. (Marcel GM) OldeRikkert, A.M. (Anna M.) Oleksik, E. (Edo) Richard, L.L. (Lieke L.) Smits, J.C. (John) van Swieten, L.K. (Laura) Teune, A. (Aad) van der Lugt, F. (Frederik) Barkhof, C.E. (Charlotte) Teunissen, N. (Nico) Rozendaal, R.J. (Frans) F Verhey and W.M. (Wiesje) van der Flier


Background: The is a collaboration between 8 Dutch University Medical Centers in which clinical data and biomaterials from patients suffering from chronic diseases (so called "Pearls") are collected according to harmonized protocols. The Pearl Neurodegenerative Diseases focuses on the role of biomarkers in the early diagnosis, differential diagnosis and in monitoring the course of neurodegenerative diseases, in particular Alzheimer's disease. Methods: The Pearl Neurodegenerative Diseases is a 3-year follow-up study of patients referred to a memory clinic with cognitive complaints. At baseline, all patients are subjected to a standardized examination, including clinical data and biobank materials, e.g. blood samples, MRI and cerebrospinal fluid. At present, in total more than 1000 patients have been included, of which cerebrospinal fluid and DNA samples are available of 211 and 661 patients, respectively. First descriptives of a subsample of the data (n = 665) shows that patients are diagnosed with dementia (45%), mild cognitive impairment (31%), and subjective memory complaints (24%). Discussion: The Pearl Neurodegenerative Diseases is an ongoing large network collecting clinical data and biomaterials of more than 1000 patients with cognitive impairments. The project has started with data analyses of the baseline characteristics and biomarkers, which will be the starting point of future specific research questions that can be answered by this unique dataset

Topics: Alzheimer's disease, Biobank, Dementia, Design, Research infrastructure
Year: 2014
DOI identifier: 10.1186/s12883-014-0254-4
OAI identifier:

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