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Hypotension Prediction Index (HPI) in Lung Resections
Sponsor: John Paul II Hospital, Krakow
Summary
Perioperative hypotension is a risk factor for perioperative complications. Advances in machine learning and artificial intelligence have produced an algorithm that predicts the occurrence of hypotension episodes by analyzing an arterial pressure waveform. This technology has not been validated in thoracic surgical patients undergoing lung resections with the use of one-lung ventilation (OLV). We planned an observational, prospective multi-centre cohort validation study of the Hypotension Prediction Index (HPI) in patients undergoing lung resection procedures with the use of one-lung ventilation and a lung-protective strategy.
Official title: An Observational, Prospective, Non-randomized Multi-centre Cohort Feasibility Study of the Hypotension Prediction Index (HPI) in Patients Undergoing Lung Resections With the Use of One-lung Ventilation.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
60
Start Date
2023-11-11
Completion Date
2025-12-31
Last Updated
2025-08-12
Healthy Volunteers
No
Conditions
Interventions
HemoSphere monitor with Acumen Hypotension Prediction Index Software
Two concomitant courses of intraoperative data will be recorded: 1. the arterial waveform and pressure on the standard hemodynamic patient monitor and 2. the data from the HemoSphere monitor with Acumen Hypotension Prediction Index Software
Locations (3)
Faculty of Medicine, NKUA Attikon University Hospital
Athens, Greece
St. John Paul II Hospital in Krakow
Krakow, Małopolska, Poland
Department of Anesthesiology and Intensive Therapy; Department of Pain Research and Treatment, Faculty of Medical Sciences Zabrze
Zabrze, Silesian Voivodeship, Poland