Machine Learning from Veno-Venous Extracorporeal Membrane Oxygenation Identifies Factors Associated with Neurological Outcomes
Author:
Funder
NIH
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00408-024-00708-z.pdf
Reference20 articles.
1. Munshi L, Walkey A, Goligher E, Pham T, Uleryk EM, Fan E (2019) Venovenous extracorporeal membrane oxygenation for acute respiratory distress syndrome: a systematic review and meta-analysis. Lancet Respir Med 7(2):163–172. https://doi.org/10.1016/S2213-2600(18)30452-1
2. Luyt CE, Bréchot N, Demondion P et al (2016) Brain injury during venovenous extracorporeal membrane oxygenation. Intensive Care Med 42(5):897–907. https://doi.org/10.1007/s00134-016-4318-3
3. Lorusso R, Belliato M, Mazzeffi M et al (2021) Neurological complications during veno-venous extracorporeal membrane oxygenation: does the configuration matter? A retrospective analysis of the ELSO database. Crit Care 25(1):107. https://doi.org/10.1186/s13054-021-03533-5
4. Lorusso R, Gelsomino S, Parise O et al (2017) Neurologic injury in adults supported with veno-venous extracorporeal membrane oxygenation for respiratory failure: findings from the extracorporeal life support organization database. Crit Care Med 45(8):1389–1397. https://doi.org/10.1097/CCM.0000000000002502
5. Supady A, DellaVolpe J, Taccone FS et al (2021) Outcome Prediction in patients with severe COVID-19 requiring extracorporeal membrane oxygenation-A retrospective international multicenter study. Membranes 11(3):170. https://doi.org/10.3390/membranes11030170
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