The use of continuous glucose monitoring combined with computer-based eMPC algorithm for tight glucose control in cardiosurgical ICU.
In postcardiac surgery patients, we assessed the performance of a system for intensive intravenous insulin therapy using continuous glucose monitoring (CGM) and enhanced model predictive control (eMPC) algorithm.~Aim~Objective~Glucose control in eMPC-CGM group (n = 12) was compared with a control (C...
| Publicado en: | BioMed Research International Vol. 2013; pp. 186439 - 186440 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104287207&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104287207 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2013 vid: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104287207 2012116800 NLM23555075 PMC3595106 104287207 ppf: 186439 ppct: 1 formats: fmt: @attributes: type: P tig: atl: The use of continuous glucose monitoring combined with computer-based eMPC algorithm for tight glucose control in cardiosurgical ICU. aug: au: Kopecky, Petr Mráz, Milos Bláha, Jan Lindner, Jaroslav Svacina, Stpán Hovorka, Roman Haluzík, Martin affil: Department of Anaesthesia, Resuscitation and Intensive Medicine, 1st Faculty of Medicine and General University Hospital, Charles University in Prague, U Nemocnice 2, 128 08 Prague 2, Czech Republic. sug: subj: Blood Glucose Analysis Diabetes Mellitus, Type 1 Blood Insulin Administration and Dosage Aged Algorithms Diabetes Mellitus, Type 1 Surgery Female Infusions, Intravenous Intensive Care Units Male Middle Age Postoperative Period Aged: 65+ years Middle Aged: 45-64 years Female Male ab: In postcardiac surgery patients, we assessed the performance of a system for intensive intravenous insulin therapy using continuous glucose monitoring (CGM) and enhanced model predictive control (eMPC) algorithm.~Aim~Objective~Glucose control in eMPC-CGM group (n = 12) was compared with a control (C) group (n = 12) treated by intravenous insulin infusion adjusted according to eMPC protocol with a variable sampling interval alone. In the eMPC-CGM group glucose measured with a REAL-Time CGM system (Guardian RT) served as input for the eMPC adjusting insulin infusion every 15 minutes. The accuracy of CGM was evaluated hourly using reference arterial glucose and Clarke error-grid analysis (C-EGA). Target glucose range was 4.4-6.1¿mmol/L.~Methods~Methods~Of the 277 paired CGM-reference glycemic values, 270 (97.5%) were in clinically acceptable zones of C-EGA and only 7 (2.5%) were in unacceptable D zone. Glucose control in eMPC-CGM group was comparable to C group in all measured values (average glycemia, percentage of time above, within, and below target range,). No episode of hypoglycemia (<2.9 mmol) occurred in eMPC-CGM group compared to 2 in C group.~Results~Results~Our data show that the combination of eMPC algorithm with CGM is reliable and accurate enough to test this approach in a larger study population.~Conclusion~Conclusions pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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