In Silico testing of the semi-closed loop infusion system with a new simulator

dc.contributor.authorMarkevicius, V.
dc.contributor.authorAndrijauskas, A.
dc.contributor.authorNavikas, D.
dc.contributor.authorDubauskiene, N.
dc.contributor.authorPorvaneckas, N.
dc.contributor.authorStankevicius, E.
dc.contributor.authorUvarovas, V.
dc.contributor.authorGelzinis, G.
dc.contributor.authorCepenas, Mindaugas
dc.contributor.authorAndriukaitis, D.
dc.contributor.authorMalekian, Reza
dc.date.accessioned2015-05-20T06:07:38Z
dc.date.available2015-05-20T06:07:38Z
dc.date.issued2014
dc.description.abstractGoal directed fluid therapy (GDFT) implies the flow-related parameters guided infusion of fluids. It requires adherence to complex clinical algorithms and fluid protocols, as well as simultaneous monitoring of several parameters and evaluation of their fluid responsiveness or actual response to fluid challenges. Automated clinical decision support systems (ACDSS) are used to ease the task. However, they are based on the flow-related (hemodynamic) parameters – arterial blood pressure, cardiac output, etc. Meanwhile, infusions guided by hemodynamic endpoints may lead to edema. A mini Volume Loading Test (mVLT) may be helpful in detection of imminent edema from changes in hemodilution during stepwise infusion which is conventionally used for hemodynamic optimization. We developed an ACDSS which is based on evaluation of both hemodynamic and hemodilution parameters. It operates on the basis of our unique algorithm which implies interchangeable application of fluid loading, vasopressor injection and red cell transfusion. This ACDSS is used in our PC-based command centre of a prototype semi-closed loop (SCL) infusion system. We developed a simulator – ‘Virtual Patient’ – on the basis of our previous clinical records aiming to test a new controller, as well as train the research team before starting a clinical trial. In silico testing continued for 12 hours on five occasions. Primary endpoint was the compliance of a controller with our clinical algorithm and the stability of operation in a spectrum of arterial hypotension and bleeding scenarios. The prototype SCL infusion system was found ready for clinical validation.en_ZA
dc.description.librarianam2015en_ZA
dc.description.sponsorshipThis research was funded by the European Union Funds (project No. VP1-3.1-ŠMM-10-V-02-014). Audrius Andrijauskas has received a consultant’s fee and travel funding from Masimo Corp. (Irvine, CA, USA). Also, AA received an honorarium from Masimo Corp. for an expert witness report. A.A. is an inventor in US patent US 7,788,045 B2, non-provisional US patent application US 61/470,224 and International non-provisional patent application US 13/973,747.en_ZA
dc.description.urihttp://www.eejournal.ktu.lt/index.php/elten_ZA
dc.identifier.citationMarkevicius, V, Andrijauskas, A, Navikas, D, Dubauskiene, N, Porvaneckas, N, Stankevicius, E, Uvarovas, V, Gelzinis, G, Cepenas, M, Andriukaitis, D & Malekian, R 2014, 'In Silico testing of the semi-closed loop infusion system with a new simulator', Elektronika ir Elektrotechnika, vol. 20, no. 9, pp. 1-6.en_ZA
dc.identifier.issn1392-1215 (print)
dc.identifier.issn2029--5731 (online)
dc.identifier.other10.5755/j01.eee.20.9.8520
dc.identifier.urihttp://hdl.handle.net/2263/45178
dc.language.isoenen_ZA
dc.publisherKaunas University of Technologyen_ZA
dc.rightsKaunas University of Technologyen_ZA
dc.subjectClosed-loopen_ZA
dc.subjectMedical simulatoren_ZA
dc.subjectDecision support systemen_ZA
dc.subjectGoal directed fluid therapy (GDFT)en_ZA
dc.subjectmini Volume Loading Test (mVLT)en_ZA
dc.subjectAutomated clinical decision support systems (ACDSS)en_ZA
dc.titleIn Silico testing of the semi-closed loop infusion system with a new simulatoren_ZA
dc.typeArticleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Markevicius_In_2014.pdf
Size:
1.48 MB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: