Literature DB >> 19885199

Multicenter validation of a computer-based clinical decision support tool for glucose control in adult and pediatric intensive care units.

B Taylor Thompson1, James F Orme, Hui Zheng, Peter M Luckett, Jonathon D Truwit, Douglas F Willson, R Duncan Hite, Roy G Brower, Gordon R Bernard, Martha A Q Curley, Jay S Steingrub, Dean K Sorenson, Kathy Sward, Ellie Hirshberg, Alan H Morris.   

Abstract

INTRODUCTION: Hyperglycemia during critical illness is common, and intravenous insulin therapy (IIT) to normalize blood glucose improves outcomes in selected populations. Methods differ widely in complexity, insulin dosing approaches, efficacy, and rates of hypoglycemia. We developed a simple bedside-computerized decision support protocol (eProtocol-insulin) that yields promising results in the development center. We examined the effectiveness and safety of this tool in six adult and five pediatric intensive care units (ICUs) in other centers.
METHODS: We required attending physicians of eligible patients to independently intend to use intravenous insulin to normalize blood glucose. We used eProtocol-insulin for glucose control for a duration determined by the clinical caregivers. Adults had an anticipated length of stay of 3 or more days. In pediatric ICUs, we also required support or intended support with mechanical ventilation for greater than 24 hours or with a vasoactive infusion. We recorded all instances in which eProtocol-insulin instructions were not accepted and all blood glucose values. An independent data safety and monitoring board monitored study results and subject safety. Bedside nurses were selected randomly to complete a paper survey describing their perceptions of quality of care and workload related to eProtocol-insulin use.
RESULTS: Clinicians accepted 93% of eProtocol-insulin instructions (11,773/12,645) in 100 adult and 48 pediatric subjects. Forty-eight percent of glucose values were in the target range. Both of these results met a priori-defined efficacy thresholds. Only 0.18% of glucose values were < or =40 mg/dl. This is lower than values reported in prior IIT studies. Although nurses reported eProtocol-insulin required as much work as managing a mechanical ventilator, most nurses felt eProtocol-insulin had a low impact on their ability to complete non-IIT nursing activities.
CONCLUSIONS: A multicenter validation demonstrated that eProtocol-insulin is a valid, exportable tool that can assist clinicians in achieving control of glucose in critically ill adults and children.

Entities:  

Keywords:  computerized decision support; critical care; glucose control; intensive insulin therapy

Year:  2008        PMID: 19885199      PMCID: PMC2769731          DOI: 10.1177/193229680800200304

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  21 in total

1.  Variability of blood glucose concentration and short-term mortality in critically ill patients.

Authors:  Moritoki Egi; Rinaldo Bellomo; Edward Stachowski; Craig J French; Graeme Hart
Journal:  Anesthesiology       Date:  2006-08       Impact factor: 7.892

2.  Association of hypoglycemia, hyperglycemia, and glucose variability with morbidity and death in the pediatric intensive care unit.

Authors:  Kupper A Wintergerst; Bruce Buckingham; Laura Gandrud; Becky J Wong; Saraswati Kache; Darrell M Wilson
Journal:  Pediatrics       Date:  2006-07       Impact factor: 7.124

Review 3.  Intensive insulin therapy in critical care: a review of 12 protocols.

Authors:  Mark Wilson; Jane Weinreb; Guy W Soo Hoo
Journal:  Diabetes Care       Date:  2007-01-09       Impact factor: 19.112

4.  Impact of tight glycemic control in severely burned children.

Authors:  Tam N Pham; Aimee J Warren; Ho H Phan; Frederick Molitor; David G Greenhalgh; Tina L Palmieri
Journal:  J Trauma       Date:  2005-11

5.  Is more better?: the relationship between nurse staffing and the quality of nursing care in hospitals.

Authors:  Julie Sochalski
Journal:  Med Care       Date:  2004-02       Impact factor: 2.983

6.  A replicable method for blood glucose control in critically Ill patients.

Authors:  Alan H Morris; James Orme; Jonathon D Truwit; Jay Steingrub; Colin Grissom; Kang H Lee; Guoliang L Li; B Taylor Thompson; Roy Brower; Mark Tidswell; Gordon R Bernard; Dean Sorenson; Katherine Sward; Hui Zheng; David Schoenfeld; Homer Warner
Journal:  Crit Care Med       Date:  2008-06       Impact factor: 7.598

7.  Utilization of a computerized intravenous insulin infusion program to control blood glucose in the intensive care unit.

Authors:  Rattan Juneja; Corbin Roudebush; Nilay Kumar; Angela Macy; Adam Golas; Donna Wall; Cheryl Wolverton; Deborah Nelson; Joni Carroll; Samuel J Flanders
Journal:  Diabetes Technol Ther       Date:  2007-06       Impact factor: 6.118

8.  Effect of an intensive glucose management protocol on the mortality of critically ill adult patients.

Authors:  James Stephen Krinsley
Journal:  Mayo Clin Proc       Date:  2004-08       Impact factor: 7.616

9.  Association of timing, duration, and intensity of hyperglycemia with intensive care unit mortality in critically ill children.

Authors:  Vijay Srinivasan; Philip C Spinella; Henry R Drott; Carey L Roth; Mark A Helfaer; Vinay Nadkarni
Journal:  Pediatr Crit Care Med       Date:  2004-07       Impact factor: 3.624

10.  Intensive insulin therapy and pentastarch resuscitation in severe sepsis.

Authors:  Frank M Brunkhorst; Christoph Engel; Frank Bloos; Andreas Meier-Hellmann; Max Ragaller; Norbert Weiler; Onnen Moerer; Matthias Gruendling; Michael Oppert; Stefan Grond; Derk Olthoff; Ulrich Jaschinski; Stefan John; Rolf Rossaint; Tobias Welte; Martin Schaefer; Peter Kern; Evelyn Kuhnt; Michael Kiehntopf; Christiane Hartog; Charles Natanson; Markus Loeffler; Konrad Reinhart
Journal:  N Engl J Med       Date:  2008-01-10       Impact factor: 91.245

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  20 in total

Review 1.  Hypoglycemia in critically ill children.

Authors:  E Vincent S Faustino; Eliotte L Hirshberg; Clifford W Bogue
Journal:  J Diabetes Sci Technol       Date:  2012-01-01

Review 2.  "One more thing to think about…" Cognitive burden experienced by intensive care unit nurses when implementing a tight glucose control protocol.

Authors:  Lit Soo Ng; Martha A Q Curley
Journal:  J Diabetes Sci Technol       Date:  2012-01-01

3.  The evolution of eProtocols that enable reproducible clinical research and care methods.

Authors:  Denitza P Blagev; Eliotte L Hirshberg; Katherine Sward; B Taylor Thompson; Roy Brower; Jonathon Truwit; Duncan Hite; Jay Steingrub; James F Orme; Terry P Clemmer; Lindell K Weaver; Frank Thomas; Colin K Grissom; Dean Sorenson; Dean F Sittig; C Jane Wallace; Thomas D East; Homer R Warner; Alan H Morris
Journal:  J Clin Monit Comput       Date:  2012-04-11       Impact factor: 2.502

4.  The role of technology and the chronic care model.

Authors:  Linda M Siminerio
Journal:  J Diabetes Sci Technol       Date:  2010-03-01

5.  An electronic protocol for translation of research results to clinical practice: a preliminary report.

Authors:  Alan H Morris; James Orme; Beatriz H Rocha; John Holmen; Terry Clemmer; Nancy Nelson; Jode Allen; Al Jephson; Dean Sorenson; Kathy Sward; Homer Warner
Journal:  J Diabetes Sci Technol       Date:  2008-09

6.  Retrospective outcomes of glucose control in critically ill children.

Authors:  Sarah B Kandil; Debra Spear; Neal J Thomas; Stuart A Weinzimer; Edward Vincent S Faustino
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

7.  Intraoperative blood glucose management: impact of a real-time decision support system on adherence to institutional protocol.

Authors:  Bala G Nair; Katherine Grunzweig; Gene N Peterson; Mayumi Horibe; Moni B Neradilek; Shu-Fang Newman; Gail Van Norman; Howard A Schwid; Wei Hao; Irl B Hirsch; E Patchen Dellinger
Journal:  J Clin Monit Comput       Date:  2015-06-12       Impact factor: 2.502

8.  Organ dysfunction is associated with hyperglycemia in critically ill children.

Authors:  Ursula G Kyle; Jorge A Coss Bu; Curtis E Kennedy; Larry S Jefferson
Journal:  Intensive Care Med       Date:  2009-10-31       Impact factor: 17.440

Review 9.  The future is now: software-guided intensive insulin therapy in the critically ill.

Authors:  Rishi Rattan; Stanley A Nasraway
Journal:  J Diabetes Sci Technol       Date:  2013-03-01

10.  An in silico method to identify computer-based protocols worthy of clinical study: An insulin infusion protocol use case.

Authors:  Anthony F Wong; Ulrike Pielmeier; Peter J Haug; Steen Andreassen; Alan H Morris
Journal:  J Am Med Inform Assoc       Date:  2015-07-30       Impact factor: 4.497

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