Hypotension Prediction Index (HPI) in Lung Resections

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorJohn Paul II Hospital, Krakow

About this trial

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.

Eligibility criteria

Qualifiers

American Society of Anesthesiologists (ASA) physical status II to IV;

Planned invasive blood pressure monitoring during general anesthesia expected to last more than 2 hours and planned overnight hospitalization.

Procedures: video-assist thoracoscopic (VATS)-lobectomy, open-thoracotomy lobectomy, pneumonectomy.

Adults over 18 years old.

Disqualifiers

Urgent/emergency procedures.

Patients with known clinically important intracardiac shunts.

Moderate to severe valvular disease.

Preoperative symptomatic arrhythmias including AF.

Trial design

Treatments tested in this trial

  • HemoSphere monitor with Acumen Hypotension Prediction Index Software

Treatment groups

60 Participants
are divided into 1 treatment group

Locations

3
Greece
Faculty of Medicine, NKUA Attikon University Hospital12462, Athens Greece
Poland
St. John Paul II Hospital in Krakow31-202, KrakowMałopolska, Poland
Department of Anesthesiology and Intensive Therapy; Department of Pain Research and Treatment, Faculty of Medical Sciences Zabrze40-055, ZabrzeSilesian Voivodeship, Poland

Sponsors and collaborators

John Paul II Hospital, Krakow

Lead sponsor