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A Machine Learning Early Warning System for Intraoperative Hypotension

Thursday, February 20, 2020

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Source Name: JAMA Network


Marije Wijnberge, Bart F. Geerts, Liselotte Hol, Nikki Lemmers, Marijn P. Mulder, Patrick Berge, Jimmy Schenk, Lotte E. Terwindt, Markus W. Hollmann, Alexander P. Vlaar, Denise P. Veelo

This randomized trial evaluated depth and duration of intraoperative hypotension during noncardiac surgery, comparing a machine learning early warning system to standard care. Hypotension was defined as a MAP <65 mm Hg for one minute or more. The early warning system significantly reduced the degree and duration of hypotension compared to controls. Control patients suffered two adverse events resulting in death (7%), whereas none occured in the intervention group.  

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