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Updated: Mar 28, 2026

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
Published on: October 20, 2016
Characteristics of sepsis-induced cardiac dysfunction using speckle-tracking echocardiography: a feasibility study
1Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Novel echocardiographic markers of myocardial deformation show promise in predicting sepsis outcomes. Reduced left ventricular longitudinal strain in a specific segment was linked to mortality in sepsis patients.
Area of Science:
- Cardiology
- Critical Care Medicine
- Medical Imaging
Background:
- Septic cardiomyopathy is a frequent complication in severe sepsis and septic shock.
- Echocardiographic assessment of myocardial deformation may offer insights into sepsis pathophysiology and outcomes.
Purpose of the Study:
- To investigate the association of novel global and segmental echocardiographic markers of myocardial deformation with adverse sepsis outcomes.
- To assess the feasibility of using two-dimensional speckle tracking for evaluating myocardial deformation in sepsis patients.
Main Methods:
- Retrospective observational feasibility study including 54 ICU patients with sepsis.
- Echocardiograms performed within the first week of sepsis diagnosis.
- Assessment of global and segmental left ventricular longitudinal strain (LVLS) and tissue mitral annular displacement (TMAD) using 2D speckle tracking.
Main Results:
- Reduced systolic LVLS in the basal anterior segment was associated with in-hospital mortality.
- Global LVLS correlated with lower ejection fraction.
- Reduced global TMAD showed a non-significant trend towards increased mortality and shorter hospital stay.
Conclusions:
- Speckle-tracking echocardiography is feasible for assessing myocardial deformation in sepsis.
- Global and segmental deformation indices are linked to ejection fraction.
- Further research is needed to validate these novel indices for predicting sepsis outcomes.
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