Evaluation of an Active Decision Support System for Hemodynamic Optimization During High Risk Vascular Surgery

NCT ID: NCT03012919

Last Updated: 2017-06-20

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

31 participants

Study Classification

INTERVENTIONAL

Study Start Date

2015-02-28

Study Completion Date

2016-06-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Rivers et al. laid the foundation for modern hemodynamic and fluid management by establishing goal directed therapy (GDT) for the treatment of sepsis using fluid and inotropic and vasoactive agents. There have been many subsequent protocols to improve outcome in the operating room or in the ICU. These are mainly passive decision support systems. Active clinical decision support systems using fluid and pharmacologic agents to improve intraoperative hemodynamics are not really found.

The investigators developed an active clinical decision support system based on an institutional GDT-protocol using fluid, vasopressors and inotropes using the LiDCOrapid device.

The goal of the study was to check the feasibility of an active clinical decision support system to optimize hemodynamics during high risk vascular surgery based on the principles of GDT implementing fluid, vasopressors and inotropes.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Feasibility Active Decision Support System Goal Directed Therapy

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

active decision support system (GDT protocol)

The active decision support system in this study is a goal directed therapy (GDT) protocol where threshold hemodynamic values are defined when to give fluid, vasopressors and inotropes. Hemodynamic values are measured with the LiDCOrapid device, which uses pulse contour analysis to continuously monitor cardiac output and respiratory variations in stroke volume (SVV).

Group Type OTHER

active decision support system

Intervention Type OTHER

The active decision support system in this study is a goal directed therapy (GDT) protocol where threshold hemodynamic values are defined when to give fluid, vasopressors and inotropes. Hemodynamic values are measured with the LiDCOrapid device, which uses pulse contour analysis to continuously monitor cardiac output and respiratory variations in stroke volume (SVV).

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

active decision support system

The active decision support system in this study is a goal directed therapy (GDT) protocol where threshold hemodynamic values are defined when to give fluid, vasopressors and inotropes. Hemodynamic values are measured with the LiDCOrapid device, which uses pulse contour analysis to continuously monitor cardiac output and respiratory variations in stroke volume (SVV).

Intervention Type OTHER

Other Intervention Names

Discover alternative or legacy names that may be used to describe the listed interventions across different sources.

goal directed therapy (GDT) protocol

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* elective major vascular surgery such as peripheral arterial surgery and open abdominal aortic surgery except for carotid artery surgery

Exclusion Criteria

* patients under 18 years of age
* absence of cardiac sinus rhythm at induction of anesthesia
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Medical University of Vienna

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Arabella Fischer, MD

Dr.

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Martin Dworschak, Prof. Dr.

Role: STUDY_DIRECTOR

Medical University of Vienna

Michael Hiesmayr, Prof. Dr.

Role: STUDY_DIRECTOR

Medical University of Vienna

Johannes Menger, Dr.

Role: PRINCIPAL_INVESTIGATOR

Medical University of Vienna

Arabella Fischer, Dr.

Role: PRINCIPAL_INVESTIGATOR

Medical University of Vienna

References

Explore related publications, articles, or registry entries linked to this study.

Fitzgerald M, Cameron P, Mackenzie C, Farrow N, Scicluna P, Gocentas R, Bystrzycki A, Lee G, O'Reilly G, Andrianopoulos N, Dziukas L, Cooper DJ, Silvers A, Mori A, Murray A, Smith S, Xiao Y, Stub D, McDermott FT, Rosenfeld JV. Trauma resuscitation errors and computer-assisted decision support. Arch Surg. 2011 Feb;146(2):218-25. doi: 10.1001/archsurg.2010.333.

Reference Type BACKGROUND
PMID: 21339436 (View on PubMed)

Feldheiser A, Conroy P, Bonomo T, Cox B, Garces TR, Spies C; Anaesthesia Working Group of the Enhanced Recovery After Surgery (ERAS(R)) Society; Enhanced Recovery After Surgery Society. Development and feasibility study of an algorithm for intraoperative goaldirected haemodynamic management in noncardiac surgery. J Int Med Res. 2012;40(4):1227-41. doi: 10.1177/147323001204000402.

Reference Type BACKGROUND
PMID: 22971475 (View on PubMed)

Sondergaard S, Wall P, Cocks K, Parkin WG, Leaning MS. High concordance between expert anaesthetists' actions and advice of decision support system in achieving oxygen delivery targets in high-risk surgery patients. Br J Anaesth. 2012 Jun;108(6):966-72. doi: 10.1093/bja/aes037. Epub 2012 Mar 16.

Reference Type BACKGROUND
PMID: 22427342 (View on PubMed)

Sahota N, Lloyd R, Ramakrishna A, Mackay JA, Prorok JC, Weise-Kelly L, Navarro T, Wilczynski NL, Haynes RB; CCDSS Systematic Review Team. Computerized clinical decision support systems for acute care management: a decision-maker-researcher partnership systematic review of effects on process of care and patient outcomes. Implement Sci. 2011 Aug 3;6:91. doi: 10.1186/1748-5908-6-91.

Reference Type BACKGROUND
PMID: 21824385 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

1967/2014

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.