ArticleBMC medical informatics and decision making2005
Design and implementation of GRIP: a computerized glucose control system at a surgical intensive care unit.
Article in BMC medical informatics and decision making, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01085071 (GRIP-COMPASS Trial), which is not on this map. Cited by 48 papers, 2 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.
GRIP-COMPASS Trial: Computer-driven Glucose and Potassium Regulation Program in Intensive Care Patients With COMparison of PotASSium Targets Within normokAlemic Range
Who cites it
48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 145 citations in OpenAlex.
- Tight glycemic control and computerized decision-support systems: a systematic review.Intensive care medicine · 2009Pooled it
- A systematic review on quality indicators for tight glycaemic control in critically ill patients: need for an unambiguous indicator reference subset.Critical care (London, England) · 2008Pooled it
- Effect of high-dose dexamethasone on perioperative lactate levels and glucose control: a randomized controlled trial.Critical care (London, England) · 2015Trial
- 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
- Implementing glucose control in intensive care: a multicenter trial using statistical process control.Intensive care medicine · 2010Trial
- Intensive insulin therapy: enhanced Model Predictive Control algorithm versus standard care.Intensive care medicine · 2009Trial
- Tight glycaemic control by an automated algorithm with time-variant sampling in medical ICU patients.Intensive care medicine · 2008Trial
- The impact of a reduced dose of dexamethasone on glucose control after coronary artery bypass surgery.Cardiovascular diabetology · 2007Trial
- Clinical and economic impact of digital dashboards on hospital inpatient care: a systematic review.JAMIA open · 2025Review
- Nursing informatics and patient safety outcomes in critical care settings: a systematic review.BMC nursing · 2025Article
- First 24-Hour Potassium Concentration and Variability and Association with Mortality in Patients Requiring Continuous Renal Replacement Therapy in Intensive Care Units: A Hospital-Based Retrospective Cohort Study.Journal of clinical medicine · 2022Article
- The obesity paradox and hypoglycemia in critically ill patients.Critical care (London, England) · 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
- Bundled care in acute kidney injury in critically ill patients, a before-after educational intervention study.BMC nephrology · 2020Observational
- Improving glycemic control in critically ill patients: personalized care to mimic the endocrine pancreas.Critical care (London, England) · 2018Review
- Comparative Simulation Study of Glucose Control Methods Designed for Use in the Intensive Care Unit Setting via a Novel Controller Scoring Metric.Journal of diabetes science and technology · 2017Article
- A comparison of two insulin infusion protocols in the medical intensive care unit by continuous glucose monitoring.Annals of intensive care · 2016Article
- Glucose Control in the ICU: A Continuing Story.Journal of diabetes science and technology · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTight glucose control by intensive insulin therapy has become a key part of critical care and is an important field of study in acute coronary care. A balance has to be found between frequency of measurements and the risk of hypoglycemia. Current nurse-driven protocols are paper-based and, therefore, rely on simple rules. For safety and efficiency a computer decision support system that employs complex logic may be superior to paper protocols.
methodsWe designed and implemented GRIP, a stand-alone Java computer program. Our implementation of GRIP will be released as free software. Blood glucose values measured by a point-of-care analyzer were automatically retrieved from the central laboratory database. Additional clinical information was asked from the nurse and the program subsequently advised a new insulin pump rate and glucose sampling interval.
resultsImplementation of the computer program was uneventful and successful. GRIP treated 179 patients for a total of 957 patient-days. Severe hypoglycemia (< 2.2 mmol/L) only occurred once due to human error. With a median (IQR) of 4.9 (4.2-6.2) glucose measurements per day the median percentage of time in which glucose fell in the target range was 78%. Nurses rated the program as easy to work with and as an improvement over the preceding paper protocol. They reported no increase in time spent on glucose control.
conclusionA computer driven protocol is a safe and effective means of glucose control at a surgical ICU. Future improvements in the recommendation algorithm may further improve safety and efficiency.
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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.