Extracorporeal membrane oxygenation (ECMO) support is a life-saving but complex technique for patients suffering from severe cardiac 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 extracorporeal life support (ECLS). We propose a path to address these challenges and ensure that clinicians and researchers obtain robust, specific, risk analytics.
From the *Milton S. Hershey Medical Center, Hershey, Pennsylvania; †Department of Radiology, and Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania; and ‡Pennsylvania State University College of Medicine, Heart and Vascular Institute, Hershey, Pennsylvania.
Submitted for consideration November 2016; accepted for publication in revised form March 2017.
Disclosure: No conflicts of interest to declare.
This work is the sole responsibility of the authors in their personal capacity and does not represent the views of the Heart and Vascular Institute or Penn State Hershey Medical Center.
Supported by unrestricted institutional research allowances.
Reprint Requests: Dr Marco D. Huesch, MBBS, PhD, Department of Radiology, Pennsylvania State University College of Medicine, 500 University Drive, PO Box 850, Mailcode H066, Hershey, PA 17033. Email: firstname.lastname@example.org.
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