Feasibility Clinical Trial
Official title:
Evaluation of an Active Decision Support System for Hemodynamic Optimization During High Risk Vascular Surgery
Verified date | June 2017 |
Source | Medical University of Vienna |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
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.
Status | Completed |
Enrollment | 31 |
Est. completion date | June 2016 |
Est. primary completion date | August 2015 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
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 |
Country | Name | City | State |
---|---|---|---|
n/a |
Lead Sponsor | Collaborator |
---|---|
Medical University of Vienna |
Feldheiser A, Conroy P, Bonomo T, Cox B, Garces TR, Spies C; Anaesthesia Working Group of the Enhanced Recovery After Surgery (ERAS®) 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. — View Citation
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. — View Citation
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. Review. — View Citation
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. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | number of interventions done according to the active decision support system (GDT protocol) | The number of interventions done according to the active decision support system (GDT protocol) is calculated. | through study completion, an average of 6 months | |
Primary | duration of use of active decision support system | The absolute duration of use and relative duration of use (in relation to the duration of surgery) of the active decision support system are calculated. | through study completion, an average of 6 months |
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