Validation of a model-based virtual trials method for tight glycaemic control in intensive care

Author

Suhaimi, Fatanah ; Chase, J. Geoffrey ; Le Compte, Aaron J. ; Preiser, Jean-Charles ; Lin, James ; Shaw, Geoffrey M.

Author_Institution

Dept. of Mech. Eng, Univ. of Canterbury, Christchurch, New Zealand

fYear

2010

fDate

7-10 Sept. 2010

Firstpage

1

Lastpage

6

Abstract

In-silico virtual trials offer significant advantages in cost, time and safety. However, no such method has been truly validated with clinical data. This study tests 2 matched cohorts from an independent ICU treated with 2 different glycaemic control protocols. The goal is to validate the in-silico virtual trials model and methods, including the underlying assumptions. A retrospective analysis used records from a 211 patient subset of the Glucontrol trial in Liege, Belgium. Glucontrol-A (N = 142) targeted a BG range of 4.4-6.1 mmol/L and Glucontrol-B (N = 69) targeted 7.8-10.0 mmol/L. Cohorts were matched by APACHE II score, but the Glucontrol A cohort was slightly older (p = 0.0352). Results showed high correlation between self- and cross-validation virtual trials and clinical results. The virtual trials models and methods are thus validated on independent data.

Keywords

biocontrol; drug delivery systems; medical control systems; patient care; APACHE II score; Glucontrol trial; Glucontrol-A; Glucontrol-B; clinical data; cross-validation virtual trial; glycaemic control protocols; in-silico virtual trials model; independent ICU; intensive care; model-based virtual trials method; patient subset; retrospective analysis; self-validation virtual trial; tight glycaemic control; Intensive Care; hyperglycaemia; in-silico trials; model; validation; virtual trials;

fLanguage

English

Publisher

iet

Conference_Titel

Control 2010, UKACC International Conference on

Conference_Location

Coventry

Electronic_ISBN

978-1-84600-038-6

Type

conf

DOI

10.1049/ic.2010.0424

Filename

6490882