The EU funded project CLINICIP (Closed Loop Insulin Infusion for Critically Ill Patients) aims to develop a low-risk monitoring and control device which allows maintaining metabolic control in intensive care units. A system will be developed comprising three subsystems: a body interface for the delivery of biofluids, biosensors for the determination of glucose concentration in these biofluids and an adaptive control algorithm that generates advice and thus represents a decision support system with respect to insulin infusion rate to establish glycaemic control in critically ill patients. Within a closed loop system, intensified insulin treatment will make use of the calculations leading to external regulation of glucose. It is the aim of this study to evaluate the correlation between arterial blood glucose concentrations and interstitial fluid glucose concentrations in post surgery patients in the Intensive Care Unit (ICU). Interstitial fluid glucose concentrations are based on microdialysis in subcutaneous adipose tissue and calculated using the ionic reference technique.
This trial includes a screening visit (V1) and a monitoring visit (V2) and follow-up assessment. Visit 1 will be performed before performance of surgery to obtain informed consent and to assess patient eligibility. At Visit 2 monitoring visit after surgery) arterial blood glucose values will be monitored and subcutaneous sampling of ISF with microdialysis for glucose determination will be performed. Visit 2 will last from admittance to the ICU for 48 hours. In a follow-up assessment, two weeks after the end of visit 2, further clinical relevant data for the two week period after visit 2 will be collected.
Study Type
OBSERVATIONAL
Enrollment
40
Dosing od insulin is calculated by a computer based algorithm
Medical University Graz
Graz, Styria, Austria
Time concentration profiles of arterial blood glucose concentrations and interstitial fluid glucose concentrations
Time frame: hourly
Prospectively calibrated interstitial fluid glucose concentration profiles
Time frame: hourly
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