Identifying and ranking non-traditional risk factors for cardiovascular disease prediction in people with type 2 diabetes
Abstract Background Cardiovascular disease (CVD) prediction models perform poorly in people with type 2 diabetes (T2DM). We aimed to identify potentially non-traditional CVD predictors for six facets of CVD (including coronary heart disease, ischemic stroke, heart failure, and atrial fibrillation) i...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Communications Medicine |
| Online Access: | https://doi.org/10.1038/s43856-025-00785-y |
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