Hypotension Prediction 2 Study in Cardiac Surgery and Postoperative ICU Admission
NCT ID: NCT05821647
Last Updated: 2023-04-20
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
130 participants
INTERVENTIONAL
2021-05-20
2023-03-16
Brief Summary
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This study already has a trial registration (2021 April 30) in the Netherlands Trial Registry (Reference number NL9449, https://trialsearch.who.int/). However, the NTR register is subject to a merger with another Dutch register. This means that existing registrations are still visible, but can no longer be adjusted.
Study summary:
Hypotension in the operating room (OR) and during post-operative ICU admission is common in surgical patients and even more prevalent in cardiac surgery patients. It is associated with adverse outcomes and while these events are preventable, current management is predominantly reactive. Edwards Lifesciences (Irvine, CA) has developed the Hypotension Prediction Index (HPI), an early warning system that predicts an hypotensive event, defined as MAP below 65 mmHg, with high accuracy minutes before it occurs. At the time of writing the protocol this model has not been tested in a clinical trial in cardiac surgery patients or ICU admitted patients. The aim of the HYPE-2 trial is to assess whether the HPI-algorithm can reduce the time-weighted average (TWA) of intra- and postoperative hypotension in elective on-pump coronary artery bypass graft (CABG) surgery patients.
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Detailed Description
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All adult patients undergoing elective on-pump CABG surgery or CABG with additional single heart valve surgery (e.g. valve repair or replacement), requiring a radial arterial line and an intended target MAP of 65 mmHg or above during both surgery (excluding cardiopulmonary bypass pump time (CBP)) and during mechanically ventilated phase of duration of ICU admission.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
SINGLE
Study Groups
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Control group
Objective to maintain a mean arterial blood pressure (MAP) above or equal to 65 mm Hg, as is standard care in out institution.
This is done using standard hemodynamic monitoring, which in our center consists of continuous arterial blood pressure monitoring and the pulse pressure variation parameter. The clinician will administer either fluids, inotropes, vasopressors, or a combination, or apply positional changes to maintain the set MAP threshold.
No interventions assigned to this group
Additional HPI guided treatment
Objective to maintain a mean arterial blood pressure (MAP) above or equal to 65 mm Hg, as is standard care in out institution.
This is done using standard hemodynamic monitoring (as described for the control group) but is assisted by the Hypotension Prediction Index (HPI). This parameter is made available to the clinicians with the HemoSphere Advanced Monitoring Platform (HemoSphere) and is used to initiate treatment when the HPI values is ≥ 75.
It also provides additional advanced hemodynamic variables (e.g. cardiac output, systemic vascular resistance). The treating clinicians are trained to use these variables and are provided with a diagnostic flowchart to determine the cause (preload, contractility and afterload) of the upcoming hypotensive (MAP \< 65 mmHg) event. Timing of treatment and choice of treatment is then left to the discretion of the attending clinician.
HPI guided treatment advice
Administer hemodynamic altering intervention aimed at either a preload, contractility, or afterload problem to prevent impending hypotension. Treatment options include: administering either fluids, inotropes, vasopressors, positional changes, or a combination.
Interventions
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HPI guided treatment advice
Administer hemodynamic altering intervention aimed at either a preload, contractility, or afterload problem to prevent impending hypotension. Treatment options include: administering either fluids, inotropes, vasopressors, positional changes, or a combination.
Eligibility Criteria
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Inclusion Criteria
* Planned for elective on-pump CABG surgery or CABG with additional single heart valve surgery (e.g. valve repair or replacement)
* Planned to receive standard monitoring for cardiac surgery
* Target MAP of 65 mmHg or above during surgery
* Target MAP of 65 mmHg or above during the mechanically ventilated phase of ICU admission
Exclusion Criteria
* Severe cardiac arrhythmias (including but not limited to persistent atrial fibrillation prior to surgery)
* Expected to receive an hemodynamic assist device (e.g. intra-aortic balloon pump) during surgery
* Dialysis dependent kidney failure prior to surgery
* Planned to receive Perioperative Goal Directed Therapy (PGDT) other than standard intraoperative care
* Previous cardiac surgery in medical history
18 Years
ALL
No
Sponsors
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Edwards Lifesciences
INDUSTRY
Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
OTHER
Responsible Party
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A.P.J. Vlaar
professor
Principal Investigators
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A.P.J. Vlaar
Role: PRINCIPAL_INVESTIGATOR
Department of Intensive Care, Amsterdam UMC, location AMC, Amsterdam, the Netherlands
Locations
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Amsterdam University Medical Centers
Amsterdam-Zuidoost, North Holland, Netherlands
Countries
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References
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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.
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.
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.
Rellum SR, Schuurmans J, Schenk J, van der Ster BJP, van der Ven WH, Geerts BF, Hollmann MW, Cherpanath TGV, Lagrand WK, Wynandts P, Paulus F, Driessen AHG, Terwindt LE, Eberl S, Hermanns H, Veelo DP, Vlaar APJ. Effect of the machine learning-derived Hypotension Prediction Index (HPI) combined with diagnostic guidance versus standard care on depth and duration of intraoperative and postoperative hypotension in elective cardiac surgery patients: HYPE-2 - study protocol of a randomised clinical trial. BMJ Open. 2023 May 2;13(5):e061832. doi: 10.1136/bmjopen-2022-061832.
Other Identifiers
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NL9449
Identifier Type: REGISTRY
Identifier Source: secondary_id
NL76236.018.21
Identifier Type: -
Identifier Source: org_study_id
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