NCT02847104

Brief Summary

Intensive care unit (ICU) patients commonly display hyperglycemia, even without previously known diabetes. It was demonstrated that hyperglycemia was associated with increased hospital mortality in various medical and surgical ICU situations. However, discrepant results from recent randomized, clinical trials of tight blood glucose control in ICUs have not allowed conclusions regarding whether there is a causal link between hyperglycemia and ICU mortality. In addition to the mean blood glucose level, glucose variability has recently been emphasized as an independent predictor of ICU and hospital mortality. This concept has been described in a wide variety of medical, surgical and trauma ICU patients. In all of these settings, glycemic variability was measured with various indices but was steadily associated with ICU and/or hospital mortality in non-diabetic ICU patients. Conversely, glycemic variability was either weakly or not associated with mortality in ICU patients with previously known diabetes. Notably, all of these data have been observational, and interventional trials remain lacking to assess the impact of glycemic variability reduction on ICU mortality and thus to demonstrate causality. However, glycemic variability was considered sufficiently important to be mentioned in recent international guidelines for the management of hyperglycemia in critically ill patients. In these publications, experts from the American College of Critical Care Medicine emphasized that glycemia should be maintained at less than 9.9 mmol/L in ICU patients while avoiding hypoglycemia and minimizing glycemic variability. To achieve these goals, computer-based insulin infusion protocols have demonstrated their superiority to paper-based protocols. Glucose concentrations, variation per unit of time between the last and current glucose measurements, insulin dosage, and carbohydrate intake were the main input variables used in these different computerized algorithms. However, such protocols are not widely available because commercial systems have licensing fees and academic protocols do not always go beyond the pilot phase. To address this issue, the investigators adapted a previously validated, paper-based, dynamic protocol (DP) to an actual recommended glycemic target range. Our aim was to assess the efficacy, safety, feasibility and acceptance by nurses of this dynamic insulin protocol, compared to a paper-based, sliding scale static protocol (SP).

Trial Health

100
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
131

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Feb 2013

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

February 1, 2013

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 1, 2014

Completed
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 1, 2014

Completed
2.2 years until next milestone

First Submitted

Initial submission to the registry

July 25, 2016

Completed
3 days until next milestone

First Posted

Study publicly available on registry

July 28, 2016

Completed
Last Updated

July 28, 2016

Status Verified

July 1, 2016

Enrollment Period

1 year

First QC Date

July 25, 2016

Last Update Submit

July 27, 2016

Conditions

Outcome Measures

Primary Outcomes (1)

  • MAGE (mean amplitude of glycemic excursion) index

    calculated during the 5 first days after beginning of insulin infusion

Secondary Outcomes (13)

  • MAG: mean absolute glucose change

    calculated during the 5 first days after beginning of insulin infusion

  • LI: lability index

    calculated during the 5 first days after beginning of insulin infusion

  • SD: standard deviation of glycemia

    calculated during the 5 first days after beginning of insulin infusion

  • CV: coefficient of variation of glycemia

    calculated during the 5 first days after beginning of insulin infusion

  • LBGI: low blood glucose index

    calculated during the 5 first days after beginning of insulin infusion

  • +8 more secondary outcomes

Study Arms (2)

dynamic insulin protocol

patients received intravenous insulin infusion according to a dynamic insulin protocol

Other: dynamic insulin protocol

static insulin protocol

patients received intravenous insulin infusion according to a static insulin protocol

Other: static insulin protocol

Interventions

Adaptation of insulin infusion rate according to hourly capillary blood glucose and dynamic insulin protocol

dynamic insulin protocol

Adaptation of insulin infusion rate according to hourly capillary blood glucose and static insulin protocol

static insulin protocol

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

This prospective trial involved adult patients who were admitted to the medical intensive care department of a French university hospital to compare the effects of two continuous intravenous insulin infusion (CIII) protocols on glycemic variability. According to the local protocol, patients with two consecutive capillary blood glucose measurements greater than 180 mg/dL (9.9 mmol/L), one hour apart, were considered to require CIII and were included in the trial. All of the patients or their family members received written information about the trial.

You may qualify if:

  • Male or female adult patient admitted to intensive care unit
  • Intensive care unit stay \> 48 hours
  • Stress hyperglycemia above 9.9 mmil/L indicating the need of continuous intravenous insulin infusion

You may not qualify if:

  • Previous diabetes
  • Acute metabolic event (ketoacidosis or hyperosmolarity)
  • Insulin/dextrose infusion for hyperkalemia treatment

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Officials

  • damien du cheyron, PhD

    University Hospital, Caen

    STUDY CHAIR

Study Design

Study Type
observational
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 25, 2016

First Posted

July 28, 2016

Study Start

February 1, 2013

Primary Completion

February 1, 2014

Study Completion

June 1, 2014

Last Updated

July 28, 2016

Record last verified: 2016-07