| アブストラクト | 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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| ジャーナル名 | Journal of the Royal Statistical Society. Series A, (Statistics in Society) |
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| Pubmed追加日 | 2025/7/15 |
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| 投稿者 | Gasperoni, Francesca; Jackson, Christopher H; Wood, Angela M; Sweeting, Michael J; Newcombe, Paul J; Stevens, David; Barrett, Jessica K |
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| 組織名 | MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.;Cardiovascular Epidemiology Unit/Department of Public Health and Primary Care,;Victor Phillip Dahdaleh Heart and Lung Research Institute, University of;Cambridge, Cambridge, UK.;Health Data Research UK, London, UK.;Department of Health Sciences, University of Leicester, Leicester, UK.;Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool;Heart & Chest Hospital, Liverpool, UK.;Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and;Medical Sciences, University of Liverpool, Liverpool, UK. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/40661233/ |
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