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Study protocol for development and validation of a single tool to assess risks of stroke, diabetes mellitus, myocardial infarction and dementia: DemNCD-Risk

Authors :
Kootar, S ; https://orcid.org/0000-0001-5496-3281
Huque, MH ; https://orcid.org/0000-0002-5605-3801
Kiely, KM ; https://orcid.org/0000-0001-5876-3201
Anderson, CS ; https://orcid.org/0000-0002-7248-4863
Jorm, L ; https://orcid.org/0000-0003-0390-661X
Kivipelto, M
Lautenschlager, NT
Matthews, F
Shaw, JE
Whitmer, RA
Peters, R ; https://orcid.org/0000-0003-0148-3617
Anstey, KJ ; https://orcid.org/0000-0002-9706-9316
Kootar, S ; https://orcid.org/0000-0001-5496-3281
Huque, MH ; https://orcid.org/0000-0002-5605-3801
Kiely, KM ; https://orcid.org/0000-0001-5876-3201
Anderson, CS ; https://orcid.org/0000-0002-7248-4863
Jorm, L ; https://orcid.org/0000-0003-0390-661X
Kivipelto, M
Lautenschlager, NT
Matthews, F
Shaw, JE
Whitmer, RA
Peters, R ; https://orcid.org/0000-0003-0148-3617
Anstey, KJ ; https://orcid.org/0000-0002-9706-9316
Source :
urn:ISSN:2044-6055; BMJ Open, 13, 9, e076860
Publication Year :
2023

Abstract

Introduction Current efforts to reduce dementia focus on prevention and risk reduction by targeting modifiable risk factors. As dementia and cardiometabolic non-communicable diseases (NCDs) share risk factors, a single risk-estimating tool for dementia and multiple NCDs could be cost-effective and facilitate concurrent assessments as compared with a conventional single approach. The aim of this study is to develop and validate a new risk tool that estimates an individual's risk of developing dementia and other NCDs including diabetes mellitus, stroke and myocardial infarction. Once validated, it could be used by the public and general practitioners. Methods and analysis Ten high-quality cohort studies from multiple countries were identified, which met eligibility criteria, including large representative samples, long-term follow-up, data on clinical diagnoses of dementia and NCDs, recognised modifiable risk factors for the four NCDs and mortality data. Pooled harmonised data from the cohorts will be used, with 65% randomly allocated for development of the predictive model and 35% for testing. Predictors include sociodemographic characteristics, general health risk factors and lifestyle/behavioural risk factors. A subdistribution hazard model will assess the risk factors' contribution to the outcome, adjusting for competing mortality risks. Point-based scoring algorithms will be built using predictor weights, internally validated and the discriminative ability and calibration of the model will be assessed for the outcomes. Sensitivity analyses will include recalculating risk scores using logistic regression. Ethics and dissemination Ethics approval is provided by the University of New South Wales Human Research Ethics Committee (UNSW HREC; protocol numbers HC200515, HC3413). All data are deidentified and securely stored on servers at Neuroscience Research Australia. Study findings will be presented at conferences and published in peer-reviewed journals. The tool will

Details

Database :
OAIster
Journal :
urn:ISSN:2044-6055; BMJ Open, 13, 9, e076860
Notes :
application/pdf
Publication Type :
Electronic Resource
Accession number :
edsoai.on1458858336
Document Type :
Electronic Resource