Clinical performance of a machine-learning algorithm to predict intra-operative hypotension with noninvasive arterial pressure waveforms: A cohort study.

Marije Wijnberge¹, Björn J P van der Ster, Bart F Geerts, Friso de Beer, Charlotte Beurskens, Dina Emal, Markus W Hollmann, Alexander P J Vlaar, Denise P Veelo

¹From the Department of Anaesthesiology (MW, BvdS, BFG, FdB, CB, DE, MWH, DPV) and Department of Intensive Care, Amsterdam UMC, location AMC, Amsterdam, The Netherlands (APJV).

PubMed DOI

Abstract

BACKGROUND: Intra-operative hypotension is associated with adverse postoperative outcomes. A machine-learning-derived algorithm developed to predict hypotension based on arterial blood pressure (ABP) waveforms significantly reduced intra-operative hypotension. The algorithm calculates the likelihood of hypotension occurring within minutes, expressed as the Hypotension Prediction Index (HPI) which…

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