Initial Derivation of a Predictive Model for Left Ventricular Longitudinal Strain (LS) in Early Sepsis

Author:

Knox Daniel B.12ORCID,Lanspa Michael J.12,Wilson Emily1,Haaland Benjamin2,Beesley Sarah12,Hirshberg Eliotte12,Abraham Theodore P.3,Vallabhajosyula Saraschandra4ORCID,Grissom Colin K.12,Drakos Stavros G.2,Brown Samuel M.12ORCID

Affiliation:

1. Intermountain Medical Center, Murray, UT, USA

2. University of Utah, Salt Lake City, UT, USA

3. University of California San Francisco, San Francisco, CA, USA

4. Emory University School of Medicine, Atlanta, GA, USA

Abstract

Septic shock is a common deadly disease often associated with cardiovascular dysfunction. Left ventricular longitudinal strain (LV LS) has been proposed as a sensitive marker to measure cardiovascular function; however, it is not available universally in standard clinical echocardiograms. We sought to derive a predictive model for LV LS, using machine learning techniques with the hope that we may uncover surrogates for LV LS. We found that left ventricular ejection fraction, tricuspid annular plane systolic excursion, sepsis source, height, mitral valve Tei index, LV systolic dimension, aortic valve ejection time, and peak acceleration rate were all predictive of LV LS in this initial exploratory model. Future modeling work may uncover combinations of these variables which may be powerful surrogates for LV LS and cardiovascular function.

Publisher

SAGE Publications

Subject

Critical Care and Intensive Care Medicine

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