Predicting dementia diagnosis from cognitive footprints in electronic health records: a case-control study protocol.
dementia
epidemiology
public health
Journal
BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874
Informations de publication
Date de publication:
19 11 2020
19 11 2020
Historique:
entrez:
14
1
2021
pubmed:
15
1
2021
medline:
11
3
2021
Statut:
epublish
Résumé
Dementia is a group of disabling disorders that can be devastating for persons living with it and for their families. Data-informed decision-making strategies to identify individuals at high risk of dementia are essential to facilitate large-scale prevention and early intervention. This population-based case-control study aims to develop and validate a clinical algorithm for predicting dementia diagnosis, based on the cognitive footprint in personal and medical history. We will use territory-wide electronic health records from the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong between 1 January 2001 and 31 December 2018. All individuals who were at least 65 years old by the end of 2018 will be identified from CDARS. A random sample of control individuals who did not receive any diagnosis of dementia will be matched with those who This study was approved by Institutional Review Board of The University of Hong Kong/Hospital Authority Hong Kong West Cluster (UW 18-225). Patients' records are anonymised to protect privacy. Study results will be disseminated through peer-reviewed publications. Codes of the resulted dementia risk prediction algorithm will be made publicly available at the website of the Tools to Inform Policy: Chinese Communities' Action in Response to Dementia project (https://www.tip-card.hku.hk/).
Identifiants
pubmed: 33444218
pii: bmjopen-2020-043487
doi: 10.1136/bmjopen-2020-043487
pmc: PMC7678375
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e043487Informations de copyright
© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: KKL has received grant support from Health and Medical Research Fund, Hong Kong Government Food & Health Bureau, Amgen, Boehringer Ingelheim, Eisai, Pfizer and Sanofi; as well as honorarium from Boehringer Ingelheim and Sanofi. All of which are not related to the current paper.
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