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Peer-Reviewed Publication
PLoS One2022;17(11):e0277300.January 1, 2022Multicenter Study

Multicenter validation of a machine learning phase space electro-mechanical pulse wave analysis to predict elevated left ventricular end diastolic pressure at the point-of-care.

Sanjeev P Bhavnani1, Rola Khedraki2, Travis J Cohoon1, Frederick J Meine3, Thomas D Stuckey4, Thomas McMinn5, Jeremiah P Depta6, Brett Bennett7, Thomas McGarry8, William Carroll9, David Suh10, John A Steuter11, Michael Roberts12, Horace R Gillins13, Ian Shadforth13, Emmanuel Lange14,15, Abhinav Doomra14,15, Mohammad Firouzi14,15, Farhad Fathieh14,15, Timothy Burton14,15, Ali Khosousi14,15, Shyam Ramchandani14,15, William E Sanders13, Frank Smart16
1Division of Cardiovascular Medicine, Healthcare Innovation & Practice Transformation Laboratory, Scripps Clinic, San Diego, California, United States of America.
2Division of Cardiology, Section Advanced Heart Failure, Scripps Clinic, San Diego, California, United States of America.
3Novant Health New Hanover Regional Medical Center, Wilmington, North Carolina, United States of America.
4Cone Health Heart and Vascular Center, Greensboro, North Carolina, United States of America.
5Austin Heart, Austin, Texas, United States of America.
6Rochester General Hospital, Rochester, New York, United States of America.
7Jackson Heart Clinic, Jackson, Mississippi, United States of America.
8Oklahoma Heart Hospital, Oklahoma City, Oklahoma, United States of America.
9Cardiology Associates of North Mississippi, Tupelo, Mississippi, United States of America.
10Atlanta Heart Specialists, Atlanta, Georgia, United States of America.
11Bryan Heart, Lincoln, Nebraska, United States of America.
12Lexington Medical Center, West Columbia, South Carolina, United States of America.
13CorVista Health, Inc., Washington, DC, United States of America.
14CorVista Health, Toronto, Ontario, Canada.
15Analytics For Life Inc., d.b.a CorVista Health, Toronto, Canada.
16LSU Health Science Center, New Orleans, Louisiana, United States of America.
PubMed PMC DOI PDF

Abstract

BACKGROUND: Phase space is a mechanical systems approach and large-scale data representation of an object in 3-dimensional space. Whether such techniques can be applied to predict left ventricular pressures non-invasively and at the point-of-care is unknown. OBJECTIVE: This study prospectively validated a phase space machine-learned approach based on a novel electro-mechanical pulse wave method o…

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