Risk of Incident Heart Failure With Atrial Fibrillation
Risk of Incident Heart Failure With Atrial Fibrillation
Our HF risk prediction algorithm may become a clinical tool to communicate risk and target modifiable risk markers such as body mass index, hypertension, LV hypertrophy, ischaemic heart disease, and valve disease. The developed risk function can serve as a benchmark against which novel putative risk factors might be evaluated. The identification of high-risk individuals may further help to target individuals for potential HF prevention trials. Once effective preventive therapies are established, the risk algorithm might be useful to identify individuals with AF at highest risk of HF and therefore most likely to benefit from preventive therapies.
Conclusion
Our HF risk prediction algorithm may become a clinical tool to communicate risk and target modifiable risk markers such as body mass index, hypertension, LV hypertrophy, ischaemic heart disease, and valve disease. The developed risk function can serve as a benchmark against which novel putative risk factors might be evaluated. The identification of high-risk individuals may further help to target individuals for potential HF prevention trials. Once effective preventive therapies are established, the risk algorithm might be useful to identify individuals with AF at highest risk of HF and therefore most likely to benefit from preventive therapies.
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