4.6 Article

Trajectories of dementia-related cognitive decline in a large mental health records derived patient cohort

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PLOS ONE
卷 12, 期 6, 页码 -

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PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0178562

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资金

  1. Janssen pharmaceuticals
  2. National Institute for Health Research (NIHR) Biomedical Research Centre
  3. Farr Institute of Health Informatics Research, London, from the Medical Research Council, Arthritis Research UK
  4. British Heart Foundation
  5. Cancer Research UK
  6. Chief Scientist Office
  7. Economic and Social Research Council
  8. Engineering and Physical Sciences Research Council
  9. National Institute for Health Research
  10. National Institute for Social Care and Health Research
  11. Wellcome Trust [MR/K006584/1]
  12. National Institute for Health Research University College London Hospitals Biomedical Research Centre
  13. NIHR Biomedical Research Centre for Mental Health BRC Nucleus at the SLaM NHS Foundation Trust and Institute of Psychiatry, King's College London - Guy's and St Thomas' Trustees
  14. NIHR Biomedical Research Centre for Mental Health BRC Nucleus at the SLaM NHS Foundation Trust and Institute of Psychiatry, King's College London - SLaM Trustees
  15. Dementia Unit at SLaM NHS Foundation Trust
  16. King's College London

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Background Modeling trajectories of decline can help describe the variability in progression of cognitive impairment in dementia. Better characterisation of these trajectories has significant implications for understanding disease progression, trial design and care planning. Methods Patients with at least three Mini-mental State Examination (MMSE) scores recorded in the South London and Maudsley NHS Foundation Trust Electronic Health Records, UK were selected (N = 3441) to form a retrospective cohort. Trajectories of cognitive decline were identified through latent class growth analysis of longitudinal MMSE scores. Demographics, Health of Nation Outcome Scales and medications were compared across trajectories identified. Results Four of the six trajectories showed increased rate of decline with lower baseline MMSE. Two trajectories had similar initial MMSE scores but different rates of decline. In the faster declining trajectory of the two, a higher incidence of both behavioral problems and sertraline prescription were present. Conclusions We find suggestive evidence for association of behavioral problems and sertraline prescription with rate of decline. Further work is needed to determine whether trajectories replicate in other datasets.

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