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Amrein, K; Ellmerer, M; Hovorka, R; Kachel, N; Fries, H; Von Lewinski, D; Smolle, K; Pieber, TR; Plank, J.
Efficacy and Safety of Glucose Control with Space GlucoseControl in the Medical Intensive Care Unit-An Open Clinical Investigation.
Diabetes Technol Ther. 2012; 14(8):690-695 Doi: 10.1089/dia.2012.0021
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Führende Autor*innen der Med Uni Graz
Amrein Karin
Co-Autor*innen der Med Uni Graz
Ellmerer Martin
Pieber Thomas
Smolle Karl-Heinz
von Lewinski Dirk
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Abstract:
Background: We aimed to investigate the performance of the Space GlucoseControl system (SGC) (B. Braun, Melsungen, Germany) in medical critically ill patients. The SGC is a nurse-driven, computer-assisted device for glycemic control combining infusion pumps with the enhanced Model Predictive Control algorithm. Subjects and Methods: The trial was designed as a single-center, open clinical investigation in a nine-bed medical intensive care unit in a tertiary center in Graz, Austria. Efficacy was assessed by percentage of time within the target range (4.4-8.3 mmol/L; primary end point), mean blood glucose, and sampling interval. Safety was assessed by the number of hypoglycemic episodes (<= 2.2 mmol/L). Results: Twenty mechanically ventilated patients (age, 63 +/- 16 years; body mass index, 31.0 +/- 10.7 kg/m(2); Acute Physiology and Chronic Health Evaluation II score, 25.4 +/- 6.3; 14 males; six with diabetes) were included for a period of 7.0 +/- 3.6 days. Time within target range was 83.4 +/- 8.9% (mean +/- SD), and mean arterial blood glucose was 6.8 +/- 0.4 mmol/L. No severe hypoglycemic episodes (<2.2 mmol/L) occurred, and the percentage of time within 2.2 and 3.3 mmol/L was low (0.03 +/- 0.07%). The sampling interval was 2.0 +/- 0.4 h. The mean insulin dose was 93.5-80.1 IU/day, and the adherence to the given insulin dose advice was high (98.3%). A total of 11 unintended therapy interruptions (0.08 events/treatment day) caused by software problems occurred in four patients. Conclusions: SGC is a safe and efficient method to control blood glucose in critically ill patients in the medical intensive care unit.
Find related publications in this database (using NLM MeSH Indexing)
Aged -
Algorithms -
Algorithms -
Blood Glucose - metabolism
Critical Illness -
Diabetes Mellitus - blood Diabetes Mellitus - drug therapy Diabetes Mellitus - nursing
Drug Therapy, Computer-Assisted -
Female -
Humans -
Hyperglycemia - blood Hyperglycemia - drug therapy Hyperglycemia - nursing
Hypoglycemia - blood Hypoglycemia - drug therapy Hypoglycemia - nursing
Insulin Infusion Systems -
Insulin Resistance -
Intensive Care Units -
Male -
Middle Aged -
Reproducibility of Results -
Time Factors -
Treatment Outcome -

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