ArticleCritical care (London, England)2007
Tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol.
Article in Critical care (London, England), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- 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
- Comparison of three protocols for tight glycemic control in cardiac surgery patients.Diabetes care · 2009Trial
- Monitoring the Impact of Aggressive Glycemic Intervention during Critical Care after Cardiac Surgery with a Glycemic Expert System for Nurse-Implemented Euglycemia: The MAGIC GENIE Project.Journal of diabetes science and technology · 2021Article
- 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
- International multidisciplinary consensus conference on multimodality monitoring: ICU processes of care.Neurocritical care · 2014Review
- Computerization of the Yale insulin infusion protocol and potential insights into causes of hypoglycemia with intravenous insulin.Diabetes technology & therapeutics · 2013Article
- On the management of hyperglycaemia in critically ill patients undergoing surgery.Journal of clinical medicine research · 2012Article
- Social, organizational, and contextual characteristics of clinical decision support systems for intensive insulin therapy: a literature review and case study.International journal of medical informatics · 2010Review
- Health technology assessment review: Computerized glucose regulation in the intensive care unit--how to create artificial control.Critical care (London, England) · 2009Review
- Computerized intensive insulin dosing can mitigate hypoglycemia and achieve tight glycemic control when glucose measurement is performed frequently and on time.Critical care (London, England) · 2009Article
- The impact of insulin adsorption onto the infusion sets in the adult intensive care unit.Journal of diabetes science and technology · 2009Article
- Evaluation of implementation of a fully automated algorithm (enhanced model predictive control) in an interacting infusion pump system for establishment of tight glycemic control in medical intensive care unit patients.Journal of diabetes science and technology · 2008Article
- Intensive care unit hypoglycemia predicts depression during early recovery from acute lung injury.Critical care medicine · 2008Article
- Computer-assisted glucose control in critically ill patients.Intensive care medicine · 2008Article
- A benchmark data set for model-based glycemic control in critical care.Journal of diabetes science and technology · 2008Article
- Model-based insulin sensitivity as a sepsis diagnostic in critical care.Journal of diabetes science and technology · 2008Article
- Impact of human factors on clinical protocol performance: a proposed assessment framework and case examples.Journal of diabetes science and technology · 2008Article
- Improvement in glycemic control and outcome corresponding to intensive insulin therapy protocol development.Journal of diabetes science and technology · 2008Article
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Abstract
introductionA single centre has reported that implementation of an intensive insulin protocol, aiming for tight glycaemic control (blood glucose 4.4 to 6.1 mmol/l), resulted in significant reduction in mortality in longer stay medical and surgical critically ill patients. Our aim was to determine the degree to which tight glycaemic control can be maintained using an intensive insulin therapy protocol with computerized decision support and to identify factors that may be associated with the degree of control.
methodsAt a general adult 22-bed intensive care unit, we implemented an intensive insulin therapy protocol in mechanically ventilated patients, aiming for a target glucose range of 4.4 to 6.1 mmol/l. The protocol was integrated into the computerized information management system by way of a decision support program. The time spent in each predefined blood glucose band was estimated, assuming a linear trend between measurements.
resultsFifty consecutive patients were investigated, involving analysis of 7,209 blood glucose samples, over 9,214 hours. The target tight glycaemic control band (4.4 to 6.1 mmol/l) was achieved for a median of 23.1% of the time that patients were receiving intensive insulin therapy. Nearly half of the time (median 48.5%), blood glucose was within the band 6.2 to 7.99 mmol/l. Univariate analysis revealed that body mass index (BMI), Acute Physiology and Chronic Health Evaluation (APACHE) II score and previous diabetes each explained approximately 10% of the variability in tight glycaemic control. BMI and APACHE II score explained most (27%) of the variability in tight glycaemic control in the multivariate analysis, after adjusting for age and previous diabetes.
conclusionUse of the computerized decision supported intensive insulin therapy protocol did result in achievement of tight glycaemic control for a substantial percentage of each patient's stay, although it did deliver 'normoglycaemia' (4.4 to about 8 mmol/l) for nearly 75% of the time. Tight glycaemic control was difficult to achieve in critically ill patients using this protocol. More sophisticated methods such as continuous blood glucose monitoring with automated insulin and glucose infusion adjustment may be a more effective way to achieve tight glycaemic control. Glycaemia in patients with high BMI and APACHE II scores may be more difficult to control using intensive insulin therapy protocols. Trial registration number 05/Q0505/1.
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