Observational studyBMC anesthesiology2016
Space GlucoseControl system for blood glucose control in intensive care patients--a European multicentre observational study.
Observational study in BMC anesthesiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01523665 (Evaluation of Blood Glucose Control in Intensive Care Patients Using the Space GlucoseControl System), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Evaluation of Blood Glucose Control in Intensive Care Patients Using the Space GlucoseControl System
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Factors influencing harmonized health data collection, sharing and linkage in Denmark and Switzerland: A systematic review.PloS one · 2019Pooled it
- A digital twin for tracking and forecasting glycemia with septic patients in ICUs.npj metabolic health and disease · 2026Article
- Subcutaneous glucose tracking during extreme perioperative perfusion stress: a prospective microdialysis study.Journal of clinical monitoring and computing · 2026Article
- Evaluation of the Space GlucoseControl System for Managing Stress-Induced Hyperglycemia in ICU Patients: Efficacy and Safety AssessmentEndocrine, metabolic & immune disorders drug targets · 2026Article
- The Quality and Utility of Artificial Intelligence in Patient Care.Deutsches Arzteblatt international · 2023Review
- Effect of Treatment and Nutrition on Glycemic Variability in Critically Ill Patients.International journal of environmental research and public health · 2022Article
- Practice of hyperglycaemia control in intensive care units of the Military Hospital, Sudan-Needs of a protocol.PloS one · 2022Article
- Glycemic targets in critically ill adults: A mini-review.World journal of diabetes · 2021Review
- Usability study of a new tool for nutritional and glycemic management in adult intensive care: Glucosafe 2.Journal of clinical monitoring and computing · 2021Article
- Assessment of Glycemic Control Protocol (STAR) Through Compliance Analysis Amongst Malaysian ICU Patients.Medical devices (Auckland, N.Z.) · 2020Article
- Management of Central Nervous System Infections, Vientiane, Laos, 2003-2011.Emerging infectious diseases · 2019Article
- Improving glycemic control in critically ill patients: personalized care to mimic the endocrine pancreas.Critical care (London, England) · 2018Review
- Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them.Biomedical engineering online · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlycaemia control (GC) remains an important therapeutic goal in critically ill patients. The enhanced Model Predictive Control (eMPC) algorithm, which models the behaviour of blood glucose (BG) and insulin sensitivity in individual ICU patients with variable blood samples, is an effective, clinically proven computer based protocol successfully tested at multiple institutions on medical and surgical patients with different nutritional protocols. eMPC has been integrated into the B.Braun Space GlucoseControl system (SGC), which allows direct data communication between pumps and microprocessor. The present study was undertaken to assess the clinical performance and safety of the SGC for glycaemia control in critically ill patients under routine conditions in different ICU settings and with various nutritional protocols.
methodsThe study endpoints were the percentage of time the BG was within the target range 4.4 - 8.3 mmol.l(-1), the frequency of hypoglycaemic episodes, adherence to the advice of the SGC and BG measurement intervals. BG was monitored, and insulin was given as a continuous infusion according to the advice of the SGC. Nutritional management (enteral, parenteral or both) was carried out at the discretion of each centre.
results17 centres from 9 European countries included a total of 508 patients, the median study time was 2.9 (1.9-6.1) days. The median (IQR) time-in-target was 83.0 (68.7-93.1) % of time with the mean proposed measurement interval 2.0 ± 0.5 hours. 99.6% of the SGC advices on insulin infusion rate were accepted by the user. Only 4 episodes (0.01% of all BG measurements) of severe hypoglycaemia <2.2 mmol.l(-1) in 4 patients occurred (0.8%; 95% CI 0.02-1.6%).
conclusionUnder routine conditions and under different nutritional protocols the Space GlucoseControl system with integrated eMPC algorithm has exhibited its suitability for glycaemia control in critically ill patients.
trial registrationClinicalTrials.gov NCT01523665.
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