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

Zhe Xu | Zendy; Matthew Arnold | Zendy; Luanluan Sun | Zendy; David Stevens | Zendy; Ryan Chung | Zendy; Samantha Ip | Zendy; Jessica Barrett | Zendy; Stephen Kaptoge | Zendy; Lisa Pennells | Zendy; Emanuele Di Angelantonio | Zendy; Angela Wood | Zendy

Open Access

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

Author(s) -

Zhe Xu,

Matthew Arnold,

Luanluan Sun,

David Stevens,

Ryan Chung,

Samantha Ip,

Jessica Barrett,

Stephen Kaptoge,

Lisa Pennells,

Emanuele Di Angelantonio,

Angela Wood

Publication year - 2022

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyac140

Subject(s) - medicine , type 2 diabetes , diabetes mellitus , risk factor , blood pressure , cholesterol , endocrinology

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 type 2 diabetes.

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