Trial reportIntensive care medicine2009
Intensive insulin therapy: enhanced Model Predictive Control algorithm versus standard care.
Trial report in Intensive care medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 28 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Single-center, Open Study on the Performance of the Software eMPC Algorithm Used for Blood Glucose Control Over an Extended Glucose Control Range (4.4 to 8.3 mmol/L) for a Maximum of 48 Hours in Postoperative Cardiac Surgery Patients in the Intensive Care Unit
Single-centre, Open Study to Investigate the Feasibility of Blood Glucose Control With the Space TGC System (With Incorporated Software-algorithm eMPC) Over an Extended Glucose Control Range (4.4 to 8.3 mmol/L) for a Maximum of 48 Hours in Postoperative Cardiac Surgery Patients in the ICU
Who cites it
28 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Effect of Electronic Prescribing Strategies on Medication Error and Harm in Hospital: a Systematic Review and Meta-analysis.Journal of general internal medicine · 2019Pooled it
- Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Computerized advice on drug dosage to improve prescribing practice.The Cochrane database of systematic reviews · 2013Pooled it
- Feasibility of automated insulin delivery guided by continuous glucose monitoring in preterm infants.Archives of disease in childhood. Fetal and neonatal edition · 2020Trial
- Comparison of Space Glucose Control and Routine Glucose Management Protocol for Glycemic Control in Critically Ill Patients: A Prospective, Randomized Clinical Study.Chinese medical journal · 2017Trial
- Software-guided versus nurse-directed blood glucose control in critically ill patients: the LOGIC-2 multicenter randomized controlled clinical trial.Critical care (London, England) · 2017Trial
- Use of microdialysis-based continuous glucose monitoring to drive real-time semi-closed-loop insulin infusion.Journal of diabetes science and technology · 2014Trial
- Tight computerized versus conventional glucose control in the ICU: a randomized controlled trial.Intensive care medicine · 2014Trial
- Feasibility of fully automated closed-loop glucose control using continuous subcutaneous glucose measurements in critical illness: a randomized controlled trial.Critical care (London, England) · 2013Trial
- LOGIC-insulin algorithm-guided versus nurse-directed blood glucose control during critical illness: the LOGIC-1 single-center, randomized, controlled clinical trial.Diabetes care · 2013Trial
- Feasibility of overnight closed-loop control based on hourly blood glucose measurements.Journal of diabetes science and technology · 2012Trial
- 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
- Evaluation of a Nurse-Managed Insulin Infusion Protocol.Diabetes technology & therapeutics · 2016Article
- Space GlucoseControl system for blood glucose control in intensive care patients--a European multicentre observational study.BMC anesthesiology · 2016Observational
- Glucose control in intensive care: usability, efficacy and safety of Space GlucoseControl in two medical European intensive care units.BMC endocrine disorders · 2014Article
- Continuous glucose sensors for glycaemic control in the ICU: have we arrived?Critical care (London, England) · 2013Article
- The future is now: software-guided intensive insulin therapy in the critically ill.Journal of diabetes science and technology · 2013Review
- Computerization of the Yale insulin infusion protocol and potential insights into causes of hypoglycemia with intravenous insulin.Diabetes technology & therapeutics · 2013Article
- Impact of a computer-generated alert system on the quality of tight glycemic control.Intensive care medicine · 2011Article
- Systems engineering medicine: engineering the inflammation response to infectious and traumatic challenges.Journal of the Royal Society, Interface · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the effectiveness of an enhanced software Model Predictive Control (eMPC) algorithm for intravenous insulin infusion, targeted at tight glucose control in critically ill patients, over 72 h, in two intensive care units with different management protocols.
designComparison with standard care in a two center open randomized clinical trial.
settingTwo adult intensive care units in University Hospitals. PATIENTS AND
participantsThirty-four critically ill patients with hyperglycaemia (glucose >120 mg/dL) or already receiving insulin infusion.
interventionsPatients were randomized, within each ICU, to intravenous insulin infusion advised by eMPC algorithm or the ICU's standard insulin infusion administration regimen. MEASUREMENTS AND
resultsArterial glucose concentration was measured at study entry and when advised by eMPC or measured as part of standard care. Time-weighted average glucose concentrations in patients receiving eMPC advised insulin infusions were similar [104 mg/dL (5.8 mmol/L)] in both ICUs. eMPC advised glucose measurement interval was significantly different between ICUs (1.1 vs. 1.8 h, P < 0.01). The standard care insulin algorithms resulted in significantly different time-weighted average glucose concentrations between ICUs [128 vs. 99 mg/dL (7.1 vs. 5.5 mmol/L), P < 0.01].
conclusionsIn this feasibility study the eMPC algorithm provided similar, effective and safe tight glucose control over 72 h in critically ill patients in two different ICUs. Further development is required to reduce glucose sampling interval while maintaining a low risk of hypoglycaemia.
Indexed as
Identifiers
18661120What OpenQuestion holds
Registered trials
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.