Extracorporeal Blood Purification and Organ Support in the Critically Ill Patient during COVID-19 Pandemic: Expert Review and Recommendation.
AuthorRonco, C; Bagshaw, SM; Bellomo, R; Clark, WR; Husain-Syed, F; Kellum, JA; Ricci, Z; Rimmelé, T; Reis, T; Ostermann, M
Source TitleBlood Purification
PublisherS. Karger AG
University of Melbourne Author/sBellomo, Rinaldo
AffiliationMedicine and Radiology
Document TypeJournal Article
CitationsRonco, C., Bagshaw, S. M., Bellomo, R., Clark, W. R., Husain-Syed, F., Kellum, J. A., Ricci, Z., Rimmelé, T., Reis, T. & Ostermann, M. (2020). Extracorporeal Blood Purification and Organ Support in the Critically Ill Patient during COVID-19 Pandemic: Expert Review and Recommendation.. Blood Purif, pp.1-11. https://doi.org/10.1159/000508125.
Access StatusAccess this item via the Open Access location
Open Access URLhttps://europepmc.org/articles/PMC7270067?pdf=render
Open Access at PMChttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270067
Critically ill COVID-19 patients are generally admitted to the ICU for respiratory insufficiency which can evolve into a multiple-organ dysfunction syndrome requiring extracorporeal organ support. Ongoing advances in technology and science and progress in information technology support the development of integrated multi-organ support platforms for personalized treatment according to the changing needs of the patient. Based on pathophysiological derangements observed in COVID-19 patients, a rationale emerges for sequential extracorporeal therapies designed to remove inflammatory mediators and support different organ systems. In the absence of vaccines or direct therapy for COVID-19, extracorporeal therapies could represent an option to prevent organ failure and improve survival. The enormous demand in care for COVID-19 patients requires an immediate response from the scientific community. Thus, a detailed review of the available technology is provided by experts followed by a series of recommendation based on current experience and opinions, while waiting for generation of robust evidence from trials.
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