The challenges in predicting ECMO survival, and a path forward.

Marco Huesch, Christopher Brehm

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Extracorporeal membrane oxygenation (ECMO) support is a life-saving but complex technique for patients suffering from severe cardiac and/or pulmonary dysfunction. Increasingly greater utilization in the last 15 years means that a suite of mortality risk analytics is both feasible for researchers and required by clinicians, patients, administrators and insurers. We argue that to date, research into such risk analytics has been insufficient and does not adequately reflect the various indications and configurations of ECLS. We propose a path to address these challenges and ensure that clinicians and researchers obtain robust, specific, risk analytics.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

Original languageEnglish (US)
JournalASAIO Journal
DOIs
StateAccepted/In press - Mar 22 2017

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Bioengineering
  • Biomaterials
  • Biomedical Engineering

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