NCT07301307

Brief Summary

This study investigates if the Hypotension Prediction Index (HPI) combined with the Assisted Fluid Management (AFM) software can improve perioperative hemodynamic management in adult patients undergoing general anesthesia. The main question is : Does the HPI and AFM software reduce the incidence and duration of intraoperative hypotension? Does the HPI and AFM software optimize fluid and vasopressor administration? Does the HPI and AFM software improve perioperative outcomes? Participants will be randomly allocated to either an experimental group receiving goal directed hemodynamic therapy guided by HPI and AFM or a control group receiving conventional hemodynamic management.

Trial Health

77
On Track

Trial Health Score

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

Enrollment
100

participants targeted

Target at P50-P75 for not_applicable

Timeline
10mo left

Started Mar 2026

Geographic Reach
1 country

1 active site

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 Progress15%
Mar 2026Mar 2027

First Submitted

Initial submission to the registry

December 22, 2025

Completed
2 days until next milestone

First Posted

Study publicly available on registry

December 24, 2025

Completed
3 months until next milestone

Study Start

First participant enrolled

March 15, 2026

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2026

Expected
5 months until next milestone

Study Completion

Last participant's last visit for all outcomes

March 1, 2027

Last Updated

April 20, 2026

Status Verified

December 1, 2025

Enrollment Period

7 months

First QC Date

December 22, 2025

Last Update Submit

April 16, 2026

Conditions

Keywords

Intraoperative HypotensionPerioperative Hemodynamic OptimizationGoal-Directed Hemodynamic TherapyHypotension Prediction IndexAssisted Fluid ManagementInvasive Arterial Pressure MonitoringArtificial IntelligencePerioperative Care

Outcome Measures

Primary Outcomes (1)

  • Time-weighted average of intraoperative hypotension

    Time weighted average spent in hypotension, defined as mean arterial pressure (MAP) \<65mmHg for ≥ 1min, measures using the Acumen IQ sensor and Hemosphere monitor.

    Intraoperatively, starting 10 minutes after anesthesia induction or start of sedation

Secondary Outcomes (5)

  • Incidence of hypotension

    Intraoperatively, starting 10 minutes after anesthesia induction or start of sedation

  • Time spent in hypotension

    Intraoperatively, starting 10 minutes after anesthesia induction or start of sedation

  • Choice of therapy (fluids/medications)

    Intraoperatively, starting 10 minutes after anesthesia induction or start of sedation

  • Dose of therapy (fluids/medications)

    Intraoperatively, starting 15 minutes after anesthesia induction.

  • Protocol deviations

    Intraoperatively, starting 15 minutes after anesthesia induction

Study Arms (2)

HPI/AFM - Goal- Directed Hemodynamic Therapy

EXPERIMENTAL

Participants will receive goal-directed hemodynamic therapy guided by the Hypotension Prediction Index and Assisted Fluid Management software, using the Hemosphere monitor. Interventions include protocol-guided fluid and vasopressors to prevent or treat intraoperative hypotension.

Device: Acumen IQ sensor with Hypotension Prediction Index (HPI) and Assisted Fluid Management (AFM) software

Conventional therapy

ACTIVE COMPARATOR

Participants will receive conventional hemodynamic intraoperative management based on anesthesiologist's clinical judgement. The Acumen IQ sensor will be placed but Hypotension Prediction Index and Assisted Fluid Management outputs will not be visible to the anesthesiologist.

Other: Conventional Intraoperative Hemodynamic management

Interventions

Participants receive hemodynamic management based on the anesthesiologist's clinical judgement. The Acumen IQ sensor will be placed , but HPI and AFM outputs are not visible to the clinician.

Conventional therapy

The Acumen IQ sensor will be used with the Hemosphere monitor to guide goal-directed hemodynamic therapy. HPI predicts impending hypotension and AFM guides fluid administration. Clinicians will follow a protocol algorithm to prevent or treat intraoperative hypotension with fluids, vasopressors or inotropes.

HPI/AFM - Goal- Directed Hemodynamic Therapy

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age \> 18 years
  • Intraoperative monitoring \> 2 hours or general anesthesia \> 2 hours
  • Invasive arterial pressure monitoring
  • Target MAP ≥ 65 mm Hg intraoperatively
  • Written informed consent preoperatively
  • ASA Physical Status ≤ 4

You may not qualify if:

  • Target MAP other than 65 mm Hg
  • Severe preoperative hypotension (MAP \< 65 mm Hg)
  • Severe heart failure (e.g. LVEF \< 20%)
  • Emergency surgery

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

2nd University Department of Anesthesiology, Attikon University Hospital

Athens, Attica, 12462, Greece

RECRUITING

Related Publications (22)

  • 20. Pinsky MR. Protocolized cardiovascular management based on ventricular-arterial coupling. In: Functional Hemodynamic Monitoring. Update in Intensive Care and Emergency Medicine. 2004, Springer-Verlag, Berlin, 381 - 395. ISBN 3540223495

    RESULT
  • Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol. 2014 Dec 19;14:135. doi: 10.1186/1471-2288-14-135.

  • Luo D, Wan X, Liu J, Tong T. Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range. Stat Methods Med Res. 2018 Jun;27(6):1785-1805. doi: 10.1177/0962280216669183. Epub 2016 Sep 27.

  • Coeckelenbergh S, Soucy-Proulx M, Van der Linden P, Roullet S, Moussa M, Kato H, Toubal L, Naili S, Rinehart J, Grogan T, Cannesson M, Duranteau J, Joosten A. Restrictive versus Decision Support Guided Fluid Therapy during Major Hepatic Resection Surgery: A Randomized Controlled Trial. Anesthesiology. 2024 Nov 1;141(5):881-890. doi: 10.1097/ALN.0000000000005175.

  • Coeckelenbergh S, Entzeroth M, Van der Linden P, Flick M, Soucy-Proulx M, Alexander B, Rinehart J, Grogan T, Cannesson M, Vincent JL, Vicaut E, Duranteau J, Joosten A. Assisted Fluid Management and Sublingual Microvascular Flow During High-Risk Abdominal Surgery: A Randomized Controlled Trial. Anesth Analg. 2025 May 1;140(5):1149-1158. doi: 10.1213/ANE.0000000000007097.

  • Joosten A, Coeckelenbergh S, Delaporte A, Ickx B, Closset J, Roumeguere T, Barvais L, Van Obbergh L, Cannesson M, Rinehart J, Van der Linden P. Implementation of closed-loop-assisted intra-operative goal-directed fluid therapy during major abdominal surgery: A case-control study with propensity matching. Eur J Anaesthesiol. 2018 Sep;35(9):650-658. doi: 10.1097/EJA.0000000000000827.

  • Joosten A, Alexander B, Delaporte A, Lilot M, Rinehart J, Cannesson M. Perioperative goal directed therapy using automated closed-loop fluid management: the future? Anaesthesiol Intensive Ther. 2015;47(5):517-23. doi: 10.5603/AIT.a2015.0069. Epub 2015 Nov 18.

  • Maheshwari K, Malhotra G, Bao X, Lahsaei P, Hand WR, Fleming NW, Ramsingh D, Treggiari MM, Sessler DI, Miller TE; Assisted Fluid Management Study Team. Assisted Fluid Management Software Guidance for Intraoperative Fluid Administration. Anesthesiology. 2021 Aug 1;135(2):273-283. doi: 10.1097/ALN.0000000000003790.

  • Joosten A, Hafiane R, Pustetto M, Van Obbergh L, Quackels T, Buggenhout A, Vincent JL, Ickx B, Rinehart J. Practical impact of a decision support for goal-directed fluid therapy on protocol adherence: a clinical implementation study in patients undergoing major abdominal surgery. J Clin Monit Comput. 2019 Feb;33(1):15-24. doi: 10.1007/s10877-018-0156-x. Epub 2018 May 19.

  • Schuurmans J, Rellum SR, Schenk J, van der Ster BJP, van der Ven WH, Geerts BF, Hollmann MW, Cherpanath TGV, Lagrand WK, Wynandts PR, Paulus F, Driessen AHG, Terwindt LE, Eberl S, Hermanns H, Veelo DP, Vlaar APJ. Effect of a Machine Learning-Derived Early Warning Tool With Treatment Protocol on Hypotension During Cardiac Surgery and ICU Stay: The Hypotension Prediction 2 (HYPE-2) Randomized Clinical Trial. Crit Care Med. 2025 Feb 1;53(2):e328-e340. doi: 10.1097/CCM.0000000000006518. Epub 2024 Nov 22.

  • 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.

  • 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.

  • Maheshwari K, Shimada T, Yang D, Khanna S, Cywinski JB, Irefin SA, Ayad S, Turan A, Ruetzler K, Qiu Y, Saha P, Mascha EJ, Sessler DI. Hypotension Prediction Index for Prevention of Hypotension during Moderate- to High-risk Noncardiac Surgery. Anesthesiology. 2020 Dec 1;133(6):1214-1222. doi: 10.1097/ALN.0000000000003557.

  • Murabito P, Astuto M, Sanfilippo F, La Via L, Vasile F, Basile F, Cappellani A, Longhitano L, Distefano A, Li Volti G. Proactive Management of Intraoperative Hypotension Reduces Biomarkers of Organ Injury and Oxidative Stress during Elective Non-Cardiac Surgery: A Pilot Randomized Controlled Trial. J Clin Med. 2022 Jan 13;11(2):392. doi: 10.3390/jcm11020392.

  • Tsoumpa M, Kyttari A, Matiatou S, Tzoufi M, Griva P, Pikoulis E, Riga M, Matsota P, Sidiropoulou T. The Use of the Hypotension Prediction Index Integrated in an Algorithm of Goal Directed Hemodynamic Treatment during Moderate and High-Risk Surgery. J Clin Med. 2021 Dec 15;10(24):5884. doi: 10.3390/jcm10245884.

  • Schneck E, Schulte D, Habig L, Ruhrmann S, Edinger F, Markmann M, Habicher M, Rickert M, Koch C, Sander M. Hypotension Prediction Index based protocolized haemodynamic management reduces the incidence and duration of intraoperative hypotension in primary total hip arthroplasty: a single centre feasibility randomised blinded prospective interventional trial. J Clin Monit Comput. 2020 Dec;34(6):1149-1158. doi: 10.1007/s10877-019-00433-6. Epub 2019 Nov 29.

  • Wijnberge M, Geerts BF, Hol L, Lemmers N, Mulder MP, Berge P, Schenk J, Terwindt LE, Hollmann MW, Vlaar AP, Veelo DP. Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial. JAMA. 2020 Mar 17;323(11):1052-1060. doi: 10.1001/jama.2020.0592.

  • 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.

  • 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.

  • Sun LY, Wijeysundera DN, Tait GA, Beattie WS. Association of intraoperative hypotension with acute kidney injury after elective noncardiac surgery. Anesthesiology. 2015 Sep;123(3):515-23. doi: 10.1097/ALN.0000000000000765.

  • Salmasi V, Maheshwari K, Yang D, Mascha EJ, Singh A, Sessler DI, Kurz A. Relationship between Intraoperative Hypotension, Defined by Either Reduction from Baseline or Absolute Thresholds, and Acute Kidney and Myocardial Injury after Noncardiac Surgery: A Retrospective Cohort Analysis. Anesthesiology. 2017 Jan;126(1):47-65. doi: 10.1097/ALN.0000000000001432.

  • 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.

MeSH Terms

Interventions

Health Records, PersonalMicroscopy, Atomic Force

Intervention Hierarchy (Ancestors)

Medical RecordsRecordsData CollectionEpidemiologic MethodsInvestigative TechniquesMicroscopy, Scanning ProbeMicroscopyDiagnostic ImagingDiagnostic Techniques and ProceduresDiagnosis

Study Officials

  • Georgia Ntalamagka, MD

    Attikon Hospital

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Georgia Ntalamagka, MD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Masking Details
Clinicians managing patients are aware of group assignment, as treatment decisions depend on the intervention. Outcome assessors collect data but do not influence group allocation.
Purpose
TREATMENT
Intervention Model
PARALLEL
Model Details: Participants will be randomly assigned in a 1:1 ratio to one of two study groups. One group will receive goal-directed hemodynamic therapy using the Hypotension Prediction Index and Assisted Fluid Management software. The control group will receive conventional intraoperative hemodynamic management. Each participant will remain in the assigned group for the duration of the study without crossover.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

December 22, 2025

First Posted

December 24, 2025

Study Start

March 15, 2026

Primary Completion (Estimated)

October 1, 2026

Study Completion (Estimated)

March 1, 2027

Last Updated

April 20, 2026

Record last verified: 2025-12

Data Sharing

IPD Sharing
Will not share

Locations