Why the study?
Does machine learning-derived echocardiographic classification predict heart failure incidence in asymptomatic middle-aged individuals?
Does machine learning-derived echocardiographic classification predict heart failure incidence in asymptomatic middle-aged individuals?
Machine learning-derived echocardiographic phenotypes using the e'VM algorithm can identify asymptomatic middle-aged individuals at different risks for long-term heart failure.
May inform HF risk stratification in asymptomatic adults; hypothesis-generating and requires prospective validation.
Among asymptomatic, middle-aged individuals, echocardiographic data-driven classification based on the simple e'VM algorithm identified profiles with different long-term HF risk. (4th Visit at 17 Years of Cohort STANISLAS-Stanislas Ancillary Study ESCIF [STANISLASV4]; NCT01391442).
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Kobayashi et al. (2021) studied this question.
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