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Hypotension Prediction: A New Frontier in Critical Care

Advanced hemodynamic parameters assist clinicians in making more precise interventions. Machine learning now provides clinicians the likelihood that a patient will trend toward a hypotensive event. This session examines the physiologic principles of hypotension, introduces the Acumen Hypotension Prediction Index (HPI)TM software, and demonstrates its application through case studies. Presented by Alan Heffner, MD, Michael Scott, MB, ChB, FRCP, FRCA, FFICM, and Ricky Bengel, PA. This session was organized by Edwards Lifesciences (https://www.edwards.com/predictive) and presented during the Society of Critical Care Medicine’s (SCCM) COVID-19: What’s Next conference. SCCM offers various sponsorship and advertising opportunities for companies to promote their brand launches or current therapies, conduct a focused program on disease awareness, or discuss their current pipeline activity. The views, opinions, and resources expressed are those of the sponsor and do not necessarily reflect the views, opinions, or resources of SCCM. References to specific commercial entities (companies), products, tests, procedures, opinions, or other information do not reflect the review or endorsement by SCCM.