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Dutch parelsnoer institute-cerebrovascular accident (CVA) study: A large multicenter clinical biobank with standardized collection and storage

  • H. J. A. van Os*
  • , Y. M. Ruigrok
  • , J. Manniën
  • , E. J. van Dijk
  • , P. J. Koudstaal
  • , G. J. Luijckx
  • , P. J. Nederkoorn
  • , R. J. van Oostenbrugge
  • , M. C. Visser
  • , L. J. Kappelle
  • , H. W. Verspaget
  • , A. Algra
  • , M. J. H. Wermer
  • *Corresponding author for this work
  • Leiden University Medical Center
  • University Medical Center Utrecht
  • Parelsnoer Institute, Utrecht, NL
  • Radboud University Medical Center
  • Erasmus MC
  • University of Groningen, University Medical Center Groningen
  • Amsterdam UMC - University of Amsterdam
  • Maastricht UMC+
  • Amsterdam UMC - Vrije Universiteit Amsterdam
  • VU Vrije Universiteit
  • University of Groningen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The Dutch Parelsnoer Institute-Cerebrovascular accident (CVA) Study is part of the Parelsnoer Institute (PSI), initiated in 2007 by the Netherlands Federation of University Medical Centers (NFU). PSI is a cooperation of all eight Dutch University Medical Centers (UMCs) and aims at building large prospectively collected datasets with uniformly and standardized storage of biomaterials for complex diseases. Currently, PSI covers 18 disease-specific cohorts called 'Pearls', and this number is still growing. One of these cohorts is the Stroke or CVA Pearl. For each of the cohorts, PSI offers the UMCs an infrastructure and standard procedures for storing the specific biomaterials in their certified biobanks. Clinical data are stored in a central database after being pseudonymized to ensure patient privacy. For the Parelsnoer Institute-CVA Study, blood for genetic analysis, serum and plasma are collected according to nationally agreed standards. Currently (November 2017) the Stroke Pearl has stored blood samples with prospectively obtained clinical data of around 6000 patients in all UMCs combined. Blood samples and data are available for all researchers with a methodologically valid research proposal.
Original languageEnglish
Article number8
JournalOpen Journal of Bioresources
Volume5
DOIs
Publication statusPublished - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Clinical biobanking
  • Harmonized standards
  • Health innovation
  • International security
  • Privacy standards
  • Stroke
  • Technical and organizational interoperability
  • Translational medical research

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