Why the study?
Does a proteomic prediction model accurately predict incident heart failure in older adults compared to standard clinical data?
Does a proteomic prediction model accurately predict incident heart failure in older adults compared to standard clinical data?
A proteomic risk model using a small number of circulating proteins can accurately predict incident heart failure up to 8 years in older adults, performing comparably to standard clinical data.
Answers are grounded in this paper and cite their sources.
Should not yet alter HF risk assessment in older adults; leaves open whether proteomic models add value beyond clinical data in prospective studies.
A small number of circulating proteins accurately predicted future HF in the AGES-RS cohort of older adults, and they alone encompass the risk information found in a collection of clinical data. Incident HF events were predicted up to 8 years, with predictor performance significantly improving for events occurring less than 1 year ahead, a finding replicated in an external cohort study.
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Emilsson et al. (2023) studied this question.
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