Hypotension Prediction Index (HPI) in Lung Resections
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.
1 other identifier
observational
60
2 countries
3
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Nov 2023
Typical duration for all trials
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 11, 2023
CompletedFirst Submitted
Initial submission to the registry
January 1, 2024
CompletedFirst Posted
Study publicly available on registry
January 11, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedAugust 12, 2025
August 1, 2025
2.1 years
January 1, 2024
August 7, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Positive predictive value
* Positive predictive value (precision) of the Hypotension Prediction Index (HPI) algorithm (95% CI) for prediction of IOH episodes at different time intervals (5, 10, 15 minutes) in lung resection surgery patients * Sensitivity (recall) of the Hypotension Prediction Index (HPI) algorithm (95% CI) for prediction of IOH episodes at different time intervals (5, 10, 15 minutes) in lung resection surgery patients. * Calibration curve (incidence of IOH vs. HPI; 95% CI)
Intraoperative period
Secondary Outcomes (1)
Event rate
Intraoperative period
Study Arms (1)
The arterial pressure and HPI course in 7 time-windows cohorts in one-lung ventilated patients
60 consecutive adult patients qualified for open-chest lung resection procedures under general anesthesia with one-lung ventilation will be monitored during the operation using standard invasive hemodynamic monitoring with arterial pressure transducer and concomitantly with HemoSphere monitor with the HPI software attached to the Acumen IQ transducer (Edwards LifeSciences, Irvine, CA, USA). The clinicians will be blinded to the output of the HemoSphere monitor. Hemodynamic waveforms and HPI prediction data will be recorded from the time of arterial cannula insertion until leaving the operation room. HPI values and intraoperative hemodynamic course including intraoperative hypotensive events (IOH) will be recorded at all stages of the procedure.
Interventions
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
Eligibility Criteria
60 consecutive adult patients qualified for open-chest lung resection procedures under general anesthesia and one-lung ventilation will be monitored during the operation using standard invasive hemodynamic monitoring with arterial pressure transducer and concomitantly with HemoSphere monitor with the HPI software attached to the Acumen IQ transducer (Edwards LifeSciences, Irvine, CA, USA).
You may qualify if:
- 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.
You may not qualify if:
- Urgent/emergency procedures.
- Patients with known clinically important intracardiac shunts.
- Moderate to severe valvular disease.
- Preoperative symptomatic arrhythmias including AF.
- Congestive heart failure with LV ejection fraction less than 35%.
- Refusal of participation
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (3)
Faculty of Medicine, NKUA Attikon University Hospital
Athens, 12462, Greece
St. John Paul II Hospital in Krakow
Krakow, Małopolska, 31-202, Poland
Department of Anesthesiology and Intensive Therapy; Department of Pain Research and Treatment, Faculty of Medical Sciences Zabrze
Zabrze, Silesian Voivodeship, 40-055, Poland
Related Publications (28)
Hatib F, Jian Z, Buddi S, Lee C, Settels J, Sibert K, Rinehart J, Cannesson M. Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis. Anesthesiology. 2018 Oct;129(4):663-674. doi: 10.1097/ALN.0000000000002300.
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PMID: 30481996BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Mirosław Ziętkiewicz, MD, PhD
2nd Anesthesiology and Intensive Care Unit, John Paul II Hospital, PrÄ…dnicka St. 80, KrakĂ³w, Poland
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 1 Day
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator; Head of the Anesthesia and Intensive Care Unit
Study Record Dates
First Submitted
January 1, 2024
First Posted
January 11, 2024
Study Start
November 11, 2023
Primary Completion
December 31, 2025
Study Completion
December 31, 2025
Last Updated
August 12, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will not share