ECLS-associated infections in adults: what we know and what we don't yet know

Intensive Care Med. 2020 Feb;46(2):182-191. doi: 10.1007/s00134-019-05847-z. Epub 2019 Nov 25.

Abstract

Extracorporeal life support (ECLS) is increasingly used in the management of patients with severe cardiopulmonary disease. Infections are frequently the etiologies underlying the respiratory, and occasionally cardiac, failure that necessitates ECLS. Just as importantly, infections are among the most commonly reported adverse events during ECLS. Infections in this setting may be the sequelae of prolonged critical illness or of underlying immune dysregulation; they may be hospital-acquired infections, and they may or may not be attributable to the presence of ECLS itself, the latter being an aspect that can be difficult to determine. Current registry data and evidence from the literature offer some insights, but also leave open many questions regarding the nature and significance of infections reported both before and during ECLS, including the question of any causal link between ECLS and the development of infections. An ongoing lack of consistency in the identification, diagnosis, management, and prevention of infections during ECLS is limiting our ability to interpret literature data and thus highlighting the need for more rigorous investigation and standardization of definitions. This review aims to characterize the current understanding of infections associated with the use of ECLS, taking into account data from the updated Extracorporeal Life Support Organization Registry, which provides important context for understanding the epidemiology and outcomes of these patients.

Keywords: Complications; ECLS; ECMO; ELSO registry; Infections; Nosocomial.

Publication types

  • Review

MeSH terms

  • Cross Infection / epidemiology
  • Cross Infection / etiology*
  • Cross Infection / physiopathology
  • Extracorporeal Membrane Oxygenation / adverse effects*
  • Extracorporeal Membrane Oxygenation / methods
  • Humans
  • Registries / statistics & numerical data
  • Risk Factors
  • Severity of Illness Index