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Hypotension Prediction Index Guided Versus Conventional Goal Directed Therapy to Reduce Intraoperative Hypotension During Thoracic Surgery: a Randomized Trial by Andrej Šribar; Irena Sokolović Jurinjak; Hani Almahariq; Ivan Bandić; Jelena Matošević; Josip Pejić; Jasminka Peršec is a scholarly article available to read on EtoBox.

What is Hypotension Prediction Index Guided Versus Conventional Goal Directed Therapy to Reduce Intraoperative Hypotension During Thoracic Surgery: a Randomized Trial about?

## Purpose Intraoperative hypotension is linked to increased incidence of perioperative adverse events such as myocardial and cerebrovascular infarction and acute kidney injury. Hypotension prediction index (HPI) is a novel machine learning guided algorithm which can predict hypotensive events using high fidelity analysis of pulse-wave contour. Goal of this trial is to determine whether use of HPI can reduce the number and duration of hypotensive events in patients undergoing major thoracic procedures. ## Methods Thirty four patients undergoing esophageal or lung resection were randomized into 2 groups -“machine learning algorithm” (AcumenIQ) and “conventional pulse contour analysis” (Flotrac). Analyzed variables were occurrence, severity and duration of hypotensive events (defined as a period of at least one minute of MAP below 65 mmHg), hemodynamic parameters at 9 different timepoints interesting from a hemodynamics viewpoint and laboratory (serum lactate levels, arterial blood gas) and clinical outcomes (duration of mechanical ventilation, ICU and hospital stay, occurrence of adverse events and in-hospital and 28-day mortality). ## Results Patients in the AcumenIQ group had sign

Author

Andrej Šribar; Irena Sokolović Jurinjak; Hani Almahariq; Ivan Bandić; Jelena Matošević; Josip Pejić; Jasminka Peršec

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN