Effect of the machine learning-derived Hypotension Prediction Index (HPI) combined with diagnostic guidance versus standard care on depth and duration of intraoperative and postoperative hypotension in elective cardiac surgery patients: HYPE-2 – study protocol of a randomised clinical trial

Effect of the machine learning-derived Hypotension Prediction Index (HPI) combined with diagnostic guidance versus standard care on depth and duration of intraoperative and postoperative hypotension in elective cardiac surgery patients: HYPE-2 – study protocol of a randomised clinical trial

Introduction Hypotension is common during cardiac surgery and often persists postoperatively in the intensive care unit (ICU). Still, treatment is mainly reactive, causing a delay in its management. The Hypotension Prediction Index (HPI) can predict hypotension with high accuracy. Using the HPI comb...

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Bibliographic Details
Main Authors: Antoine H G Driessen, Markus W Hollmann, Henning Hermanns, Frederique Paulus, Denise P Veelo, Santino R Rellum, Jaap Schuurmans, Jimmy Schenk, Björn J P van der Ster, Ward H van der Ven, Bart F Geerts, Thomas G V Cherpanath, Wim K Lagrand, Paul Wynandts, Lotte E Terwindt, Susanne Eberl, Alexander P J Vlaar
Format: Article
Language:English
Published: BMJ Publishing Group 2023-05-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/13/5/e061832.full

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https://bmjopen.bmj.com/content/13/5/e061832.full

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