BACKGROUND A staging classification of aortic stenosis (AS) based on extent of cardiac damage (CD) has been validated in multiple patient (pt) cohorts with severe or moderate AS. However, data for untreated pts across degrees of AS severity are lacking. METHODS We analyzed pts with AS in a deidentified real-world
Partnership leverages egnite’s artificial intelligence and big data expertise with Philippe Généreux and Linda Gillam from Morristown’s world-class Gagnon Cardiovascular Institute
egnite, Inc., a leading digital-health company in the field of cardiovascular care, is proud to announce the appointment of Rahul P. Sharma, MD, MBBS, FRACP, as its new Senior Medical Advisor.
egnite to focus on improving the quality of care for all cardiovascular patients in the U.S.
“This is the first prevalence study out of one of the largest echo databases in the world, underscoring the potential for groundbreaking research from this tremendous resource. Our work expands by an order of magnitude the sample size and generalizability of previous work in a large contemporary cohort.” J. Matthew