Effect of a Machine Learning–Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial

IMPORTANCE: Intraoperative hypotension is associated with increased morbidity and mortality. A machine learning–derived early warning system to predict hypotension shortly before it occurs has been developed and validated. OBJECTIVE: To test whether the clinical application of the early warning syst...

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Detalhes bibliográficos
Publicado no:JAMA
Main Authors: Wijnberge, Marije, Geerts, Bart F., Hol, Liselotte, Lemmers, Nikki, Mulder, Marijn P., Berge, Patrick, Schenk, Jimmy, Terwindt, Lotte E., Hollmann, Markus W., Vlaar, Alexander P., Veelo, Denise P.
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Association 2020
Assuntos:
Preliminary Communication
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7078808/
https://ncbi.nlm.nih.gov/pubmed/32065827
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jama.2020.0592
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