Comparative Trial Between 3 Types of Insulin Infusion Protocols
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ClinicalTrials.gov Identifier: NCT00582309 |
Recruitment Status :
Completed
First Posted : December 28, 2007
Results First Posted : January 25, 2010
Last Update Posted : June 23, 2015
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Tracking Information | ||||
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First Submitted Date ICMJE | December 19, 2007 | |||
First Posted Date ICMJE | December 28, 2007 | |||
Results First Submitted Date ICMJE | September 12, 2009 | |||
Results First Posted Date ICMJE | January 25, 2010 | |||
Last Update Posted Date | June 23, 2015 | |||
Study Start Date ICMJE | August 2007 | |||
Actual Primary Completion Date | December 2008 (Final data collection date for primary outcome measure) | |||
Current Primary Outcome Measures ICMJE |
Differences in Glycemic Control as Measured by Time Reach Glycemic Control for Each Treatment Group. [ Time Frame: 24 hours ] The protocol were compared by measuring in each patient time to acquire the Blood Glucose (BG) target range (80-120 mg/dl) defined by reaching a BG < 120, and maintaining the target range thereafter.
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Original Primary Outcome Measures ICMJE |
The primary outcome of the study is to determine differences in glycemic control as measured by mean daily blood glucose concentration between treatment groups. [ Time Frame: 24 hours ] | |||
Change History | ||||
Current Secondary Outcome Measures ICMJE | Not Provided | |||
Original Secondary Outcome Measures ICMJE |
Differences between treatment groups in: number of hypoglycemic events (blood glucose < 60 mg/dl and < 40 mg/dl), length of ICU stay and length of hospital stay, and number of hyperglycemic episodes (blood glucose > 180 mg/dl). [ Time Frame: 24 hours ] | |||
Current Other Pre-specified Outcome Measures | Not Provided | |||
Original Other Pre-specified Outcome Measures | Not Provided | |||
Descriptive Information | ||||
Brief Title ICMJE | Comparative Trial Between 3 Types of Insulin Infusion Protocols | |||
Official Title ICMJE | Comparative Trial Between Computer-Guided Intravenous Infusion Protocol Versus a Standard Insulin Infusion Algorithm Versus a Simple Calculated Infusion Protocol in Medical and Surgical ICU | |||
Brief Summary | Increasing evidence from observational studies in hospitalized patients with and without diabetes indicates that hyperglycemia is a predictor of poor outcome. Over the short-term, hyperglycemia can adversely affects fluid balance (through glycosuria and dehydration), impairs immunologic response to infection, and promotes inflammation and endothelial dysfunction. Blood glucose control with intensive insulin therapy in patients with acute critical illness reduces the risk of multiorgan failure and systemic infections, and decreases short- and long-term mortality . - Hypotheses: we hypothesize that management of inpatient hyperglycemia with a computer-guided intravenous infusion protocol (Glucommander) will facilitate a smoother glycemic control with a lower rate of hypoglycemic events than treatment following a standard insulin infusion algorithm or a simple calculated infusion protocol in critically ill patients in the medical and surgical ICU. |
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Detailed Description | I. RESEARCH OBJECTIVES AND SPECIFIC AIMS A. Introduction: Increasing evidence from observational studies in hospitalized patients with and without diabetes indicates that hyperglycemia is a predictor of poor outcome. Over the short-term, hyperglycemia can adversely affects fluid balance (through glycosuria and dehydration), impairs immunologic response to infection, and promotes inflammation and endothelial dysfunction. Blood glucose control with intensive insulin therapy in patients with acute critical illness reduces the risk of multiorgan failure and systemic infections, and decreases short- and long-term mortality . The use of intravenous insulin infusion is the preferred route of insulin administration for the management of diabetic subjects with diabetic ketoacidosis and nonketotic hyperosmolar state, intraoperative and postoperative care, the postoperative period following heart surgery and organ transplantation, acute myocardial infarction, stroke, and critical care illness. Some of these settings may be characterized by, or associated with, severe or rapidly changing insulin requirements, generalized patient edema, impaired perfusion of subcutaneous sites, requirement for pressor support, and/or use of total parenteral nutrition. In these settings, the intravenous route for insulin administration has been considered superior to the subcutaneous injection of split-mixed regimen of intermediate and regular insulin with respect to rapidity of effect in controlling hyperglycemia, overall ability to achieve glycemic control, and most importantly, preventing hypoglycemic episodes. Recently, several insulin infusion protocols have been reported in the literature . In general, orders to "titrate drip" are given to achieve a target blood glucose range using an established algorithm or by the application of mathematical rules by nursing staff. These algorithms and formulas, however, may be confusing and difficult to follow and may increase the risk of dosing errors. To facilitate patient care, insulin algorithms could be placed on a computer and used at the patient bedside to direct the nursing staff administering the intravenous insulin. The Glucommander is one such computer-derived insulin infusion protocol which has been used successfully in over 5,802 patients with diabetes between 1984 and 1998. B. Hypotheses: we hypothesize that management of inpatient hyperglycemia with a computer-guided intravenous infusion protocol (Glucommander) will facilitate a smoother glycemic control with a lower rate of hypoglycemic events than treatment following a standard insulin infusion algorithm or a simple calculated infusion protocol in critically ill patients in the medical and surgical ICU. C. Specific Aim: to determine differences in glycemic control between treatment with computer-guided intravenous infusion protocol (Glucommander), a standard insulin infusion algorithm and a simple calculated infusion protocol in critically ill patients in the medical and surgical ICU. II. BACKGROUND AND CURRENT STATUS OF WORK IN THE FIELD. The result of several observational and interventional studies indicate that hyperglycemia is associated with poor hospital outcomes including prolonged hospital stay, infections, disability after hospital discharge, and death , and that improvement in outcomes can be achieved with improved glycemic control in patients with critical and surgical illness. Although there are still no proven mechanisms to explain the detrimental effects of hyperglycemia, there are increasing efforts worldwide to improve and maintain strict glycemic control in subjects with critical illness. In 2001, a large prospective, randomized controlled trial from Leuven, showed that near normalization of blood glucose levels using an intensive insulin protocol improved clinical outcomes in patients admitted to a surgical intensive care area . In that study, insulin administration to maintain blood glucose levels between 80-110 mg/dl, reduced ICU mortality by 34%, and reduced the risk of multiorgan failure, systemic infection, incidence of acute renal failure, and the need for blood transfusions and prolonged mechanical ventilatory support. Interventional studies in the setting of acute coronary events have shown that intensive insulin therapy resulted in decreased short- and long-term mortality. Similarly, attainment of targeted glucose control in the setting of cardiac surgery is associated with reduced mortality and with a significant reduction in deep sternal wound infections. Similarly, in the setting of acute neurological illness, stroke, and head injury extensive observational and interventional studies indicates that hyperglycemia is associated with increased mortality and with diminished neurological recovery . Based in these observational and interventional studies, aggressive control of blood glucose is recommended in patients with critical illness. A recent position statement of the American Association of Clinical Endocrinologists recommended glycemic targets for hospitalized patients in the intensive care unit between 80 - 110 mg/dL. The American College of Endocrinology position statement supports the following indications for intravenous insulin therapy in hospitalized patients with diabetes:
Institutions around the world use a variety of insulin infusion algorithms that can be implemented by nursing staff. These algorithms facilitate communication between physicians and nurses, achieve correction of hyperglycemia in a timely manner, provide a method to determine the insulin infusion rate required to maintain blood sugars within a defined target range, include a rule for making temporary corrective increments or decrements of insulin infusion rate without under- or overcompensation, and allow for adjustment of the maintenance rate as patient insulin sensitivity or carbohydrate intake changes. In most insulin infusion protocols, orders to "titrate drip" are given to achieve a target blood glucose range using an established algorithm or by the application of mathematical rules by nursing staff. These algorithms may be confusing and difficult to follow which may increase the risk of errors. To facilitate patient care, Drs. Davidson and Steed developed the Glucommander in 1984, a computer based system for glycemic control in hospitalized patients. This computer-guided insulin infusion system directs the administration of intravenous insulin in response to blood glucose measurement at the patient's bedside. Prior to starting the insulin infusion, the physician must specify the following parameters: the low end and high end of the target range for blood glucose, an initial factor or multiplier, and the maximum time interval between blood glucose measurements. During the infusion, the nurse enters blood glucose levels and the computer recommends the insulin infusion rate and a time to check the next blood glucose testing. The starting insulin infusion follows the formula: insulin / hour = multiplier x (BG - 60). The "multiplier" is a parameter that is automatically adjusted based on the glucose pattern and response to insulin. For most adults, the initial multiplier is 0.02. The Glucommander is programmed to adjust the multiplier upwards or downwards if blood glucose levels are above or below target levels. This study will compare three methods of comparing how glucose is regulated with IV insulin. The first method uses a sliding scale of insulin based on glucoses drawn at set intervals. The second method uses an algorithm that uses the glucose drawn at a set interval and also how much that glucose changed from the last time the glucose was drawn to adjust the amount of insulin to be given. The algorithm takes into count how fast the glucose is changing and also how far the glucose is from the expected values to improve the accuracy of the amount of insulin to be given. The glucocommander is a handheld based algorithm that again takes in how fast the glucose has changed and how far the glucose is from where you want to be and adds another layer in that it tells the nurse when to draw the next glucose so that if the glucose is very far away from the expected value drawing glucose in a shorter time period will help get to the expected glucose faster. The comparison is does the method reach the expected glucose faster and how often is the glucose going to be to low. Methods that improve the way to get the glucose to the expected value are not better for the patient if they increase the chance of hypoglycemia. This study will compare three methods of regulating glucose with insulin. |
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Study Type ICMJE | Interventional | |||
Study Phase ICMJE | Not Applicable | |||
Study Design ICMJE | Allocation: Randomized Intervention Model: Factorial Assignment Masking: None (Open Label) Primary Purpose: Treatment |
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Condition ICMJE | Hyperglycemia | |||
Intervention ICMJE |
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Study Arms ICMJE |
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Publications * | Not Provided | |||
* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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Recruitment Information | ||||
Recruitment Status ICMJE | Completed | |||
Actual Enrollment ICMJE |
151 | |||
Original Estimated Enrollment ICMJE |
55 | |||
Actual Study Completion Date ICMJE | December 2008 | |||
Actual Primary Completion Date | December 2008 (Final data collection date for primary outcome measure) | |||
Eligibility Criteria ICMJE | Inclusion Criteria:
Exclusion Criteria:
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Sex/Gender ICMJE |
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Ages ICMJE | 18 Years to 80 Years (Adult, Older Adult) | |||
Accepts Healthy Volunteers ICMJE | No | |||
Contacts ICMJE | Contact information is only displayed when the study is recruiting subjects | |||
Listed Location Countries ICMJE | United States | |||
Removed Location Countries | ||||
Administrative Information | ||||
NCT Number ICMJE | NCT00582309 | |||
Other Study ID Numbers ICMJE | HRRC 06-288 | |||
Has Data Monitoring Committee | No | |||
U.S. FDA-regulated Product | Not Provided | |||
IPD Sharing Statement ICMJE | Not Provided | |||
Current Responsible Party | Gary Iwamoto, University of New Mexico | |||
Original Responsible Party | Gary Iwamoto, MD, University of New Mexico | |||
Current Study Sponsor ICMJE | University of New Mexico | |||
Original Study Sponsor ICMJE | Same as current | |||
Collaborators ICMJE | Sanofi | |||
Investigators ICMJE |
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PRS Account | University of New Mexico | |||
Verification Date | May 2015 | |||
ICMJE Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP |