Septic Cardiomyopathy in the ICU: Echocardiographic Phenotypes, Global Longitudinal Strain, and Right Ventricular

Saeed Torabi1, Philipp K Omuro1, Elisabeth H Adam1

  • 1Department of Anaesthesiology and Intensive Care Medicine, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany.

Insights

Septic cardiomyopathy (SC) diagnosis requires advanced echocardiography. Global longitudinal strain (GLS) and right ventricular (RV) function, alongside diastolic parameters, offer superior prognostic insights compared to ejection fraction alone.

Area of Science:

  • Cardiology
  • Critical Care Medicine
  • Echocardiography

Background:

  • Septic cardiomyopathy (SC) is a common, heterogeneous complication of sepsis.
  • Conventional diagnostic methods often fail to fully assess cardiac impairment in SC.
  • Echocardiography offers valuable insights into SC's pathophysiology and prognosis.

Purpose of the Study:

  • To review current evidence on echocardiographic assessment of SC.
  • To emphasize the roles of global longitudinal strain (GLS), right ventricular (RV) dysfunction, and diastolic impairment.
  • To discuss the prognostic and therapeutic implications of these echocardiographic parameters.

Main Methods:

  • Comprehensive literature search in PubMed/MEDLINE (2010-2026).
  • Inclusion of original research, reviews, meta-analyses, and guidelines.
  • Qualitative narrative synthesis following PRISMA-ScR principles.

Main Results:

  • SC presents diverse echocardiographic phenotypes.
  • Global longitudinal strain (GLS) detects subclinical dysfunction earlier than ejection fraction (LVEF).
  • Right ventricular (RV) dysfunction and diastolic impairment are independent predictors of mortality.

Conclusions:

  • A multiparametric echocardiographic approach (LVEF, GLS, RV, diastolic function) is crucial for SC phenotyping.
  • Structured algorithms incorporating these parameters may guide therapy and improve outcomes.
  • Prospective studies are needed to confirm the impact of phenotype-guided therapy on patient outcomes.

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