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.
BACKGROUND: We aimed to investigate the performance of the Space GlucoseControl system (SGC) (B. Braun, Melsungen, Germany) in medical critically illpatients. 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 illpatients in the medical intensive care unit.
Authors: Antje Gottschalk; Henryk A Welp; Laura Leser; Christian Lanckohr; Carola Wempe; Björn Ellger Journal: PLoS One Date: 2016-03-10 Impact factor: 3.240
Authors: Karin Amrein; Norman Kachel; Heike Fries; Roman Hovorka; Thomas R Pieber; Johannes Plank; Urs Wenger; Barbara Lienhardt; Marco Maggiorini Journal: BMC Endocr Disord Date: 2014-07-29 Impact factor: 2.763
Authors: Kent W Stewart; Christopher G Pretty; Hamish Tomlinson; Felicity L Thomas; József Homlok; Szabó Némedi Noémi; Attila Illyés; Geoffrey M Shaw; Balázs Benyó; J Geoffrey Chase Journal: Ann Intensive Care Date: 2016-03-29 Impact factor: 6.925