Trial reportJournal of clinical monitoring and computing2012
Decision support for optimized blood glucose control and nutrition in a neurotrauma intensive care unit: preliminary results of clinical advice and prediction accuracy of the Glucosafe system.
Trial report in Journal of clinical monitoring and computing, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Nutrition Informatics Applications in Clinical Practice: a Systematic Review.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Pooled it
- Computerized advice on drug dosage to improve prescribing practice.The Cochrane database of systematic reviews · 2013Pooled it
- The effects of on-screen, point of care computer reminders on processes and outcomes of care.The Cochrane database of systematic reviews · 2009Pooled it
- Development, Design and Utilization of a CDSS for Refeeding Syndrome in Real Life Inpatient Care-A Feasibility Study.Nutrients · 2023Article
- Refeeding Syndrome.Deutsches Arzteblatt international · 2023Review
- Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Usability study of a new tool for nutritional and glycemic management in adult intensive care: Glucosafe 2.Journal of clinical monitoring and computing · 2021Article
- 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
- Human Cognitive Limitations. Broad, Consistent, Clinical Application of Physiological Principles Will Require Decision Support.Annals of the American Thoracic Society · 2018Article
- Untangling glycaemia and mortality in critical care.Critical care (London, England) · 2017Article
- An in silico method to identify computer-based protocols worthy of clinical study: An insulin infusion protocol use case.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Computerized decision support in adult and pediatric critical care.World journal of critical care medicine · 2013Review
- The European Society for Computing and Technology in Anaesthesia and Intensive Care (ESCTAIC): a special issue of full papers (Amsterdam meeting 2010) and conference abstracts (Erlangen meeting 2011).Journal of clinical monitoring and computing · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assessment of glycemic control with model-based decision support ("Glucosafe") in neurotrauma intensive care patients in an ongoing randomized controlled trial with a blood glucose (BG) target of 5-8 mmol/L. Assessment of BG prediction accuracy of the model and assessment of the effect that two potential model extensions would have on prediction accuracy in this trial. In the intervention group insulin infusion rates and nutrition are varied based on Glucosafe's decision support. In the control group, the caloric target is 25-30 kcal/kg per day and insulin is regulated according to department rules. BG concentrations, insulin infusion rates, and feed rates are compared from the data of 12 consecutive patients. BG measurements are predicted retrospectively and the mean relative prediction error is calculated using (1) the current model from the trial, (2) the current model modified by using a BG-dependent variable endogenous insulin appearance rate, (3) the current model modified by a patient-specific carbohydrate absorption factor. BG control was improved by Glucosafe. 76 % of BG measurements in Glucosafe patients were in the 5-8 mmol/L band (Controls: 51 %). BG means (log-normal) ± SD were 7.0 ± 1.19 mmol/L in Glucosafe patients compared to 8.0 ± 1.24 mmol/L in controls (P = 0.05). Mean caloric intake was 93.5 ± 15 % of resting energy expenditure in Glucosafe patients (Controls: 129 ± 29 %). The BG-dependent variable insulin appearance rate had no measurable effect on prediction accuracy. The patient-specific carbohydrate absorption factor improved prediction accuracy significantly (P = 0.001). Glucosafe advice reduces hyperglycemia in neurotrauma intensive care patients. Further parameterization can improve model prediction accuracy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.