AI Article Synopsis
- ECMO is a critical, complex medical technique used for patients with severe heart or lung issues that has seen increased use over the past 15 years.
- There is a need for more comprehensive mortality risk analytics in ECMO research to better inform clinicians, patients, and healthcare stakeholders.
- The authors suggest a way to improve risk analytics for extracorporeal life support (ECLS) to enhance the quality of clinical decision-making and research outcomes.
Article Abstract
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.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5671797 | PMC |
| http://dx.doi.org/10.1097/MAT.0000000000000572 | DOI Listing |
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