MedTrace Logo

Hypotension Prediction Index (HPI) in Lung Resections

NCT06202638 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 60

Last updated 2025-08-12

No results posted yet for this study

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.

Conditions

  • Intraoperative Hypotension

Interventions

DEVICE

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

Sponsors & Collaborators

  • John Paul II Hospital, Krakow

    lead OTHER

Principal Investigators

  • Mirosław Ziętkiewicz, MD, PhD · 2nd Anesthesiology and Intensive Care Unit, John Paul II Hospital, Prądnicka St. 80, Kraków, Poland

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-11-11
Primary Completion
2025-12-31
Completion
2025-12-31

Countries

  • Greece
  • Poland

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06202638 on ClinicalTrials.gov