Assimilated LVEF: A Bayesian technique combining human intuition with machine measurement for sharper estimates of left ventricular ejection fraction and stronger association with outcomes

Thomas McAndrew; Bjorn Redfors; Aaron Crowley; Yiran Zhang; Maria Alu; Matthew Finn; Ariel Furer; Shmuel Chen; Geraldine Ong; Dan Burkhoff; Ori Ben-Yehuda; Wael A. Jaber; Rebecca Hahn; Martin Leon

arXiv · 1805.02764

Assimilated LVEF: A Bayesian technique combining human intuition with machine measurement for sharper estimates of left ventricular ejection fraction and stronger association with outcomes

Thomas McAndrew·Bjorn Redfors·Aaron Crowley·Yiran Zhang·Maria Alu·Matthew Finn·Ariel Furer·Shmuel Chen·Geraldine Ong·Dan Burkhoff·Ori Ben-Yehuda·Wael A. Jaber·Rebecca Hahn·Martin Leon

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Abstract

The cardiologist's main tool for measuring systolic heart failure is left ventricular ejection fraction (LVEF). Trained cardiologist's report both a visual and machine-guided measurement of LVEF, but only use this machine-guided measurement in analysis. We use a Bayesian technique to combine visual and machine-guided estimates from the PARTNER-IIA Trial, a cohort of patients with aortic stenosis at moderate risk treated with bioprosthetic aortic valves, and find our combined estimate reduces measurement errors and improves the association between LVEF and a 1-year composite endpoint.

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Thomas McAndrew, Bjorn Redfors, Aaron Crowley, Yiran Zhang, Maria Alu, Matthew Finn, Ariel Furer, Shmuel Chen, Geraldine Ong, Dan Burkhoff, Ori Ben-Yehuda, Wael A. Jaber, Rebecca Hahn, Martin Leon. 2018-05-07. Assimilated LVEF: A Bayesian technique combining human intuition with machine measurement for sharper estimates of left ventricular ejection fraction and stronger association with outcomes. https://arxiv.org/abs/1805.02764

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