Characteristics of sepsis-induced cardiac dysfunction using speckle-tracking echocardiography: a feasibility study.

Journal Article (Journal Article)

Septic cardiomyopathy is commonly encountered in patients with severe sepsis and septic shock. This study explores whether novel global and segmental echocardiographic markers of myocardial deformation, using two-dimensional speckle tracking, are associated with adverse sepsis outcomes. We conducted a retrospective observational feasibility study, at a tertiary care centre, of patients admitted to the ICU with a diagnosis of sepsis who underwent an echocardiogram within the first week of sepsis diagnosis. Data were collected on chamber dimensions, systolic and diastolic function, demographics, haemodynamics, and laboratory parameters. Global and segmental left ventricular longitudinal strain (LVLS) and tissue mitral annular displacement (TMAD) were assessed on 12 left ventricular segments and six mitral annulus segments in apical views, respectively. We explored associations of abnormal LVLS and TMAD with duration of mechanical ventilation, hospital length of stay, and mortality. Fifty-four patients were included. Global LVLS was not associated with any of the primary study endpoints. However, reduced systolic LVLS of the basal anterior segment was associated with in-hospital mortality. There was a suggestion that patients with a reduced global TMAD were associated with an increased risk of mortality and a short length of hospital stay but these associations were not statistically significant. Reduced global LVLS was associated with lower ejection fraction. Reduced global TMAD was associated with reduced global and segmental LVLS, reduced left ventricular ejection fraction, and increased left ventricular end-systolic and end-diastolic volumes. Speckle-tracking echocardiography can be performed feasibly in patients in sepsis. Global and segmental left ventricular deformation indices are associated with ejection fraction. Further studies need to evaluate the ability of these new indices to predict sepsis outcomes.

Full Text

Duke Authors

Cited Authors

  • Zaky, A; Gill, EA; Lin, CP; Paul, CP; Bendjelid, K; Treggiari, MM

Published Date

  • January 2016

Published In

Volume / Issue

  • 44 / 1

Start / End Page

  • 65 - 76

PubMed ID

  • 26673591

Pubmed Central ID

  • PMC5050013

International Standard Serial Number (ISSN)

  • 0310-057X

Digital Object Identifier (DOI)

  • 10.1177/0310057X1604400111


  • eng

Conference Location

  • United States