NCT06202638

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

60
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
60

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Nov 2023

Typical duration for all trials

Geographic Reach
2 countries

3 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 11, 2023

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

January 1, 2024

Completed
10 days until next milestone

First Posted

Study publicly available on registry

January 11, 2024

Completed
2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2025

Completed
Last Updated

August 12, 2025

Status Verified

August 1, 2025

Enrollment Period

2.1 years

First QC Date

January 1, 2024

Last Update Submit

August 7, 2025

Conditions

Keywords

HypotensionOne Lung VentilationIntelligenceArtificial

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.

Device: HemoSphere monitor with Acumen Hypotension Prediction Index Software

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

The arterial pressure and HPI course in 7 time-windows cohorts in one-lung ventilated patients

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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

NOT YET RECRUITING

St. John Paul II Hospital in Krakow

Krakow, Małopolska, 31-202, Poland

RECRUITING

Department of Anesthesiology and Intensive Therapy; Department of Pain Research and Treatment, Faculty of Medical Sciences Zabrze

Zabrze, Silesian Voivodeship, 40-055, Poland

RECRUITING

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.

    PMID: 29894315BACKGROUND
  • de Keijzer IN, Vos JJ, Scheeren TWL. Hypotension Prediction Index: from proof-of-concept to proof-of-feasibility. J Clin Monit Comput. 2020 Dec;34(6):1135-1138. doi: 10.1007/s10877-020-00465-3. Epub 2020 Jan 23. No abstract available.

    PMID: 31974829BACKGROUND
  • Rajkomar A, Dean J, Kohane I. Machine Learning in Medicine. N Engl J Med. 2019 Apr 4;380(14):1347-1358. doi: 10.1056/NEJMra1814259. No abstract available.

    PMID: 30943338BACKGROUND
  • Davies SJ, Vistisen ST, Jian Z, Hatib F, Scheeren TWL. Ability of an Arterial Waveform Analysis-Derived Hypotension Prediction Index to Predict Future Hypotensive Events in Surgical Patients. Anesth Analg. 2020 Feb;130(2):352-359. doi: 10.1213/ANE.0000000000004121.

    PMID: 30896602BACKGROUND
  • Shin B, Maler SA, Reddy K, Fleming NW. Use of the Hypotension Prediction Index During Cardiac Surgery. J Cardiothorac Vasc Anesth. 2021 Jun;35(6):1769-1775. doi: 10.1053/j.jvca.2020.12.025. Epub 2020 Dec 21.

    PMID: 33446404BACKGROUND
  • van der Ven WH, Terwindt LE, Risvanoglu N, Ie ELK, Wijnberge M, Veelo DP, Geerts BF, Vlaar APJ, van der Ster BJP. Performance of a machine-learning algorithm to predict hypotension in mechanically ventilated patients with COVID-19 admitted to the intensive care unit: a cohort study. J Clin Monit Comput. 2022 Oct;36(5):1397-1405. doi: 10.1007/s10877-021-00778-x. Epub 2021 Nov 13.

    PMID: 34775533BACKGROUND
  • Vistisen ST, Johnson AEW, Scheeren TWL. Predicting vital sign deterioration with artificial intelligence or machine learning. J Clin Monit Comput. 2019 Dec;33(6):949-951. doi: 10.1007/s10877-019-00343-7. Epub 2019 Jun 28. No abstract available.

    PMID: 31254239BACKGROUND
  • Walsh M, Devereaux PJ, Garg AX, Kurz A, Turan A, Rodseth RN, Cywinski J, Thabane L, Sessler DI. Relationship between intraoperative mean arterial pressure and clinical outcomes after noncardiac surgery: toward an empirical definition of hypotension. Anesthesiology. 2013 Sep;119(3):507-15. doi: 10.1097/ALN.0b013e3182a10e26.

    PMID: 23835589BACKGROUND
  • Vos JJ, Scheeren TWL. Intraoperative hypotension and its prediction. Indian J Anaesth. 2019 Nov;63(11):877-885. doi: 10.4103/ija.IJA_624_19. Epub 2019 Nov 8.

    PMID: 31772395BACKGROUND
  • Sharman JE, Qasem AM, Hanekom L, Gill DS, Lim R, Marwick TH. Radial pressure waveform dP/dt max is a poor indicator of left ventricular systolic function. Eur J Clin Invest. 2007 Apr;37(4):276-81. doi: 10.1111/j.1365-2362.2007.01784.x.

    PMID: 17373963BACKGROUND
  • de Waal EE, Rex S, Kruitwagen CL, Kalkman CJ, Buhre WF. Dynamic preload indicators fail to predict fluid responsiveness in open-chest conditions. Crit Care Med. 2009 Feb;37(2):510-5. doi: 10.1097/CCM.0b013e3181958bf7.

    PMID: 19114886BACKGROUND
  • Piccioni F, Bernasconi F, Tramontano GTA, Langer M. A systematic review of pulse pressure variation and stroke volume variation to predict fluid responsiveness during cardiac and thoracic surgery. J Clin Monit Comput. 2017 Aug;31(4):677-684. doi: 10.1007/s10877-016-9898-5. Epub 2016 Jun 15.

    PMID: 27306799BACKGROUND
  • Fu Q, Duan M, Zhao F, Mi W. Evaluation of stroke volume variation and pulse pressure variation as predictors of fluid responsiveness in patients undergoing protective one-lung ventilation. Drug Discov Ther. 2015 Aug;9(4):296-302. doi: 10.5582/ddt.2015.01046.

    PMID: 26370528BACKGROUND
  • Tugrul M, Camci E, Karadeniz H, Senturk M, Pembeci K, Akpir K. Comparison of volume controlled with pressure controlled ventilation during one-lung anaesthesia. Br J Anaesth. 1997 Sep;79(3):306-10. doi: 10.1093/bja/79.3.306.

    PMID: 9389846BACKGROUND
  • Montes FR, Pardo DF, Charris H, Tellez LJ, Garzon JC, Osorio C. Comparison of two protective lung ventilatory regimes on oxygenation during one-lung ventilation: a randomized controlled trial. J Cardiothorac Surg. 2010 Nov 2;5:99. doi: 10.1186/1749-8090-5-99.

    PMID: 21044330BACKGROUND
  • Kim KN, Kim DW, Jeong MA, Sin YH, Lee SK. Comparison of pressure-controlled ventilation with volume-controlled ventilation during one-lung ventilation: a systematic review and meta-analysis. BMC Anesthesiol. 2016 Aug 31;16(1):72. doi: 10.1186/s12871-016-0238-6.

    PMID: 27581657BACKGROUND
  • Lin F, Pan L, Huang B, Ruan L, Liang R, Qian W, Ge W. Pressure-controlled versus volume-controlled ventilation during one-lung ventilation in elderly patients with poor pulmonary function. Ann Thorac Med. 2014 Oct;9(4):203-8. doi: 10.4103/1817-1737.140125.

    PMID: 25276238BACKGROUND
  • Lohser J. Evidence-based management of one-lung ventilation. Anesthesiol Clin. 2008 Jun;26(2):241-72, v. doi: 10.1016/j.anclin.2008.01.011.

    PMID: 18456211BACKGROUND
  • Tan J, Song Z, Bian Q, Li P, Gu L. Effects of volume-controlled ventilation vs. pressure-controlled ventilation on respiratory function and inflammatory factors in patients undergoing video-assisted thoracoscopic radical resection of pulmonary carcinoma. J Thorac Dis. 2018 Mar;10(3):1483-1489. doi: 10.21037/jtd.2018.03.03.

    PMID: 29707298BACKGROUND
  • Zhang BJ, Tian HT, Li HO, Meng J. The effects of one-lung ventilation mode on lung function in elderly patients undergoing esophageal cancer surgery. Medicine (Baltimore). 2018 Jan;97(1):e9500. doi: 10.1097/MD.0000000000009500.

    PMID: 29505522BACKGROUND
  • Schick V, Dusse F, Eckardt R, Kerkhoff S, Commotio S, Hinkelbein J, Mathes A. Comparison of Volume-Guaranteed or -Targeted, Pressure-Controlled Ventilation with Volume-Controlled Ventilation during Elective Surgery: A Systematic Review and Meta-Analysis. J Clin Med. 2021 Mar 19;10(6):1276. doi: 10.3390/jcm10061276.

    PMID: 33808607BACKGROUND
  • Song SY, Jung JY, Cho MS, Kim JH, Ryu TH, Kim BI. Volume-controlled versus pressure-controlled ventilation-volume guaranteed mode during one-lung ventilation. Korean J Anesthesiol. 2014 Oct;67(4):258-63. doi: 10.4097/kjae.2014.67.4.258. Epub 2014 Oct 27.

    PMID: 25368784BACKGROUND
  • Lin F, Pan L, Qian W, Ge W, Dai H, Liang Y. Comparison of three ventilatory modes during one-lung ventilation in elderly patients. Int J Clin Exp Med. 2015 Jun 15;8(6):9955-60. eCollection 2015.

    PMID: 26309682BACKGROUND
  • Samantaray A, Hemanth N. Comparison of two ventilation modes in post-cardiac surgical patients. Saudi J Anaesth. 2011 Apr;5(2):173-8. doi: 10.4103/1658-354X.82790.

    PMID: 21804799BACKGROUND
  • Mahmoud K, Ammar A, Kasemy Z. Comparison Between Pressure-Regulated Volume-Controlled and Volume-Controlled Ventilation on Oxygenation Parameters, Airway Pressures, and Immune Modulation During Thoracic Surgery. J Cardiothorac Vasc Anesth. 2017 Oct;31(5):1760-1766. doi: 10.1053/j.jvca.2017.03.026. Epub 2017 Mar 22.

    PMID: 28673814BACKGROUND
  • von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP; STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007 Oct 20;370(9596):1453-7. doi: 10.1016/S0140-6736(07)61602-X.

    PMID: 18064739BACKGROUND
  • Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig L, Lijmer JG, Moher D, Rennie D, de Vet HC, Kressel HY, Rifai N, Golub RM, Altman DG, Hooft L, Korevaar DA, Cohen JF; STARD Group. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ. 2015 Oct 28;351:h5527. doi: 10.1136/bmj.h5527.

    PMID: 26511519BACKGROUND
  • Ranucci M, Barile L, Ambrogi F, Pistuddi V; Surgical and Clinical Outcome Research (SCORE) Group. Discrimination and calibration properties of the hypotension probability indicator during cardiac and vascular surgery. Minerva Anestesiol. 2019 Jul;85(7):724-730. doi: 10.23736/S0375-9393.18.12620-4. Epub 2018 Nov 22.

    PMID: 30481996BACKGROUND

MeSH Terms

Conditions

Hypotension

Condition Hierarchy (Ancestors)

Vascular DiseasesCardiovascular Diseases

Study Officials

  • MirosÅ‚aw ZiÄ™tkiewicz, MD, PhD

    2nd Anesthesiology and Intensive Care Unit, John Paul II Hospital, PrÄ…dnicka St. 80, KrakĂ³w, Poland

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Mirosław Ziętkiewicz, MD, PhD

CONTACT

Szymon Białka, MD, PhD

CONTACT

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

Locations