Incremental value of risk factor variability for cardiovascular risk prediction in individuals with type 2 diabetes: results from UK primary care electronic health records

BACKGROUND: Cardiovascular disease (CVD) risk prediction models for individuals with type 2 diabetes are important tools to guide intensification of interventions for CVD prevention. We aimed to assess the added value of incorporating risk factors variability in CVD risk prediction for people with t...

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Detalles Bibliográficos
Autores principales: Xu, Zhe, Arnold, Matthew, Sun, Luanluan, Stevens, David, Chung, Ryan, Ip, Samantha, Barrett, Jessica, Kaptoge, Stephen, Pennells, Lisa, Di Angelantonio, Emanuele, Wood, Angela M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Cardiovascular Risk Factors
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749723/
https://www.ncbi.nlm.nih.gov/pubmed/35776101
http://dx.doi.org/10.1093/ije/dyac140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749723/
https://www.ncbi.nlm.nih.gov/pubmed/35776101
http://dx.doi.org/10.1093/ije/dyac140

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