Optimal risk-assessment scheduling for primary prevention of cardiovascular disease

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.

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Publication Details

Journal
Journal of the Royal Statistical Society Series A (Statistics in Society)
Published
2024-09-17
DOI
https://doi.org/10.1093/jrsssa/qnae086
Citations
4
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
4.52

Funders

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article

Optimal risk-assessment scheduling for primary prevention of cardiovascular disease

Francesca Gasperoni, Angela Wood, David A. Stevens, Christopher Jackson et al.
4 citations
Journal of the Royal Statistical Society Series A (Statistics in Society)
Health Systems, Economic Evaluations, Quality of Life
4.52
article

Optimal risk-assessment scheduling for primary prevention of cardiovascular disease

Francesca Gasperoni, Angela Wood, David A. Stevens, Christopher Jackson, Michael Sweeting, Paul J. Newcombe, Jessica Barrett
article en
4 citations

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.

Journal of the Royal Statistical Society Series A (Statistics in Society)Vol. 188(3)
University of Liverpool (GB), University of Leicester (GB), University of Cambridge (GB), Liverpool Heart and Chest Hospital (GB), MRC Biostatistics Unit (GB), Health Data Research UK (GB), Department of Public Health (US)
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, 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
Reduced inequalities
Openalex Percentile: Top 5%
Health Systems, Economic Evaluations, Quality of Life
4.52
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