Effect of a Machine Learning-Derived Early Warning System for Hypotension vs Standard Care on Depth and Duration of Intra- and Postoperative Hypotension in Elective Cardiac Surgery

Detailed Summary

This trial registration serves as an amendment incorporating the IPD Sharing Statement. This study already has a trial registration (2021 April 30) in the Netherlands Trial Registry (Reference number NL9449, https://trialsearch.who.int/). However, the NTR register is subject to a merger with another Dutch register. This means that existing registrations are still visible, but can no longer be adjusted. Study summary: Hypotension in the operating room (OR) and during post-operative ICU admission is common in surgical patients and even more prevalent in cardiac surgery patients. It is associated with adverse outcomes and while these events are preventable, current management is predominantly reactive. Edwards Lifesciences (Irvine, CA) has developed the Hypotension Prediction Index (HPI), an early warning system that predicts an hypotensive event, defined as MAP below 65 mmHg, with high accuracy minutes before it occurs. At the time of writing the protocol this model has not been tested in a clinical trial in cardiac surgery patients or ICU admitted patients. The aim of the HYPE-2 trial is to assess whether the HPI-algorithm can reduce the time-weighted average (TWA) of intra- and postoperative hypotension in elective on-pump coronary artery bypass graft (CABG) surgery patients.

Study Details

Timeline

Interventions