Lewy-CRATE/CRIS

  • Research type

    Research Study

  • Full title

    Improving diagnosis and management in dementia with Lewy bodies using the CPFT Research Database (CRATE).

  • IRAS ID

    239236

  • Contact name

    John O'Brien

  • Contact email

    john.obrien@medschl.cam.ac.uk

  • Sponsor organisation

    Cambridge and Peterborough NHS Foundation Trust and University of Cambridge

  • Clinicaltrials.gov Identifier

    N/A, N/A

  • Duration of Study in the UK

    3 years, 0 months, 0 days

  • Research summary

    The Lewy-CRIS/CRATE project contains three parts:
    1. Using the Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) Research Database (CRATE) and the Clinical Record Interactive Search (CRIS) in the South London and Maudsley NHS Foundation Trust (SLaM), we will use novel methods of identifying and anonymising case records to bring together and investigate the records of up to 1000 individuals with dementia with Lewy bodies (DLB). Furthermore, we will identify a cohort of non-DLB disease dementia controls, and create additional linkages to other datasets for these identified cases (e.g., Hospital Episode Statistics (HES), mortaility data, National Death Certification Data) to examine the patterns of early predictors, presentations and symptoms associated with DLB to facilitate early diagnosis. By linking with both local and national databases, we will find out more about the full course of the disease from the early stages onwards, identify risk factors for disease development, and look at what might be changed to prevent worse outcomes.
    2. We will work with colleagues from King’s College London and SLaM to develop and test a natural language processing App to improve early and accurate diagnosis for those with DLB. DLB and non-DLB disease dementia controls identified within both Trusts will be examined to determine the presenting patterns and clinical features of DLB. This will inform the development of the natural language processing App.
    3. With the successful development of a natural language processing App for identifying potential DLB cases, there is the potential to test the use of this App within CRIS and CRATE for ‘real time’ identification of potential DLB cases. However, the focus of the current application is on parts one and two. Dependent on the results of these parts, we will seek further approval for the completion of part three.

  • REC name

    East of England - Cambridge Central Research Ethics Committee

  • REC reference

    18/EE/0029

  • Date of REC Opinion

    1 Jun 2018

  • REC opinion

    Further Information Favourable Opinion