Optimal risk-assessment scheduling for primary prevention of cardiovascular disease
Year: 2024
Type: article
Abstract: In this work, we introduce a personalized and age-specific net benefit function, composed of benefits and costs, to recommend optimal timing of risk assessments for cardiovascular disease (CVD) prevention. We extend the 2-stage landmarking model to estimate patient-specific CVD risk profiles, adjusting for time-varying covariates. We apply our model to data from the Clinical Practice Research Datalink, comprising primary care electronic health records from the UK. We find that people at lower risk could be recommended an optimal risk-assessment interval of 5 years or more. Time-varying risk factors are required to discriminate between more frequent schedules for high-risk people.
Authors: Francesca Gasperoni, Christopher H Jackson, Angela M Wood, Michael J Sweeting, Paul J Newcombe, David Stevens, Jessica K Barrett
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,518
Funders: National Institute on Handicapped Research, Scottish Government, National Institute for Health and Care Research, British Heart Foundation, Department of Health and Social Care, Public Health Agency, BHF Centre of Research Excellence, Oxford, Chief Scientist Office, Scottish Government Health and Social Care Directorate, Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Health and Social Care Research and Development Division, NIHR Cambridge Biomedical Research Centre
Awards: G1211085472, G139696651, G1521853241, G1680483594, G1823049320, G2165920734, Large-scale integrative genomic studies of high-dimensional traits in cardiovascular diseases (renewal), G2493601830, G2537968379, G2663141525, G2804450655, G2963539990, Research Excellence (round 3), CONCOMITANT PRIMARY PREVENTION OF MULTIPLE CHRONIC DISEASES THROUGH DATA-DRIVEN APPROACHES MOBILISING POPULATION-WIDE LONGITUDINAL HEALTH RECORDS, G3584577881, G370598735, G3758716103, G4124815159, G4194769985, G428372581, G4753630297, G4761731823, G5117680084, G5405139249, G5421189793, G587296758, G6077662935, G6281257720, G6514460961, G6582518128, G6641991021, G6741848876, G6787924332, The BHF Chair of Epidemiology and Medicine, G763011351, G7818755567, G8838280487, G9000246143
OpenAlex ID: W4402567386