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

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... Full description

Journal Title: PLoS One Jun 2017, Vol.12(6), p.e0178562
Main Author: Baker, Elizabeth
Other Authors: Johnston, Caroline , Broadbent, Matthew , Shetty, Hitesh , Stewart, Robert , Howard, Robert , Newhouse, Stephen , Khondoker, Mizanur , Dobson, Richard
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 19326203 ; DOI: 10.1371/journal.pone.0178562
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title: Trajectories of dementia-related cognitive decline in a large mental health records derived patient cohort
format: Article
creator:
  • Baker, Elizabeth
  • Johnston, Caroline
  • Broadbent, Matthew
  • Shetty, Hitesh
  • Stewart, Robert
  • Howard, Robert
  • Newhouse, Stephen
  • Khondoker, Mizanur
  • Dobson, Richard
subjects:
  • Electronic Medical Records
  • Cognitive Ability
  • Psychology
  • Mental Health
  • Antidepressants
  • Demographics
  • Sertraline
  • Patients
  • Biomedical Research
  • Neurosciences
  • Older People
  • Cognitive Ability
  • Design
  • Health Informatics
  • Confidence Intervals
  • Variability
  • Mental Disorders
  • Electronic Health Records
  • Cognition & Reasoning
ispartof: PLoS One, Jun 2017, Vol.12(6), p.e0178562
description: 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...
language: eng
source:
identifier: E-ISSN: 19326203 ; DOI: 10.1371/journal.pone.0178562
fulltext: fulltext_linktorsrc
issn:
  • 19326203
  • 1932-6203
url: Link


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titleTrajectories of dementia-related cognitive decline in a large mental health records derived patient cohort
creatorBaker, Elizabeth ; Johnston, Caroline ; Broadbent, Matthew ; Shetty, Hitesh ; Stewart, Robert ; Howard, Robert ; Newhouse, Stephen ; Khondoker, Mizanur ; Dobson, Richard
ispartofPLoS One, Jun 2017, Vol.12(6), p.e0178562
identifierE-ISSN: 19326203 ; DOI: 10.1371/journal.pone.0178562
subjectElectronic Medical Records ; Cognitive Ability ; Psychology ; Mental Health ; Antidepressants ; Demographics ; Sertraline ; Patients ; Biomedical Research ; Neurosciences ; Older People ; Cognitive Ability ; Design ; Health Informatics ; Confidence Intervals ; Variability ; Mental Disorders ; Electronic Health Records ; Cognition & Reasoning
descriptionBackground 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...
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titleTrajectories of dementia-related cognitive decline in a large mental health records derived patient cohort
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titleTrajectories of dementia-related cognitive decline in a large mental health records derived patient cohort
authorBaker, Elizabeth ; Johnston, Caroline ; Broadbent, Matthew ; Shetty, Hitesh ; Stewart, Robert ; Howard, Robert ; Newhouse, Stephen ; Khondoker, Mizanur ; Dobson, Richard
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abstractBackground 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...
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