Hypotension Prediction Index (HPI) and Assisted Fluid Management (AFM) for Perioperative Hemodynamic Optimization in Patients Under General Anesthesia
The Use of the Hypotension Prediction Index (HPI) Combined With the Assisted Fluid Management (AFM) Software for Perioperative Hemodynamic Optimization in Patients Undergoing General Anesthesia.
1 other identifier
interventional
100
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Mar 2026
1 active site
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
First Submitted
Initial submission to the registry
December 22, 2025
CompletedFirst Posted
Study publicly available on registry
December 24, 2025
CompletedStudy Start
First participant enrolled
March 15, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
March 1, 2027
April 20, 2026
December 1, 2025
7 months
December 22, 2025
April 16, 2026
Conditions
Keywords
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
EXPERIMENTALParticipants 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.
Conventional therapy
ACTIVE COMPARATORParticipants 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.
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.
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.
Eligibility Criteria
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
- Attikon Hospitalcollaborator
- National and Kapodistrian University of Athenslead
Study Sites (1)
2nd University Department of Anesthesiology, Attikon University Hospital
Athens, Attica, 12462, Greece
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
RESULTWan 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.
PMID: 25524443RESULTLuo 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.
PMID: 27683581RESULTCoeckelenbergh 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.
PMID: 39052844RESULTCoeckelenbergh 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.
PMID: 39116013RESULTJoosten 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.
PMID: 29750699RESULTJoosten 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.
PMID: 26578397RESULTMaheshwari 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.
PMID: 33901281RESULTJoosten 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.
PMID: 29779129RESULTSchuurmans 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.
PMID: 39576150RESULTShin 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: 33446404RESULTvan 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: 34775533RESULTMaheshwari 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.
PMID: 32960954RESULTMurabito 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.
PMID: 35054083RESULTTsoumpa 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.
PMID: 34945177RESULTSchneck 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.
PMID: 31784852RESULTWijnberge 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.
PMID: 32065827RESULTDavies 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: 30896602RESULTHatib 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: 29894315RESULTSun 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.
PMID: 26181335RESULTSalmasi 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.
PMID: 27792044RESULTWalsh 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: 23835589RESULT
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Georgia Ntalamagka, MD
Attikon Hospital
Central Study Contacts
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
- 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