Identifying and ranking novel independent features for cardiovascular disease prediction in people with type 2 diabetes

BACKGROUND: CVD prediction models do not perform well in people with diabetes. We therefore aimed to identify novel predictors for six facets of CVD, (including coronary heart disease (CHD), Ischemic stroke, heart failure (HF), and atrial fibrillation (AF)) in people with T2DM. METHODS: Analyses wer...

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Detalles Bibliográficos
Autores principales: Dziopa, K, Chaturvedi, N, Asselbergs, F W, Schmidt, A F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635178/
https://www.ncbi.nlm.nih.gov/pubmed/37961704
http://dx.doi.org/10.1101/2023.10.23.23297398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635178/
https://www.ncbi.nlm.nih.gov/pubmed/37961704
http://dx.doi.org/10.1101/2023.10.23.23297398

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