The Performance of Dexcom G6 Glucose Monitoring in Critically Ill Patients

Sponsor
Region Stockholm (Other)
Overall Status
Recruiting
CT.gov ID
NCT05255783
Collaborator
DexCom, Inc. (Industry)
40
1
1
13.4
3

Study Details

Study Description

Brief Summary

This is an investigator-initiated, prospective, observational accuracy-study. The aim of the study is to test the feasibility, safety, and accuracy of a subcutaneous continuous glucose monitoring system (the Dexcom G6 glucose monitoring system) in critically ill patients. A total of 40 adult patients admitted to the intensive care unit requiring intravenous insulin infusion to maintain blood glucose within target range will be enrolled. Subcutaneous glucose readings will be compared with routine arterial blood glucose measurements to determine accuracy.

Condition or Disease Intervention/Treatment Phase
  • Device: subcutaneous continuous glucose sensor
N/A

Detailed Description

The primary endpoint of the study is the mean absolute relative difference (MARD) in percent between CGM and arterial glucose values. Calculations show that 40 patients are required for a 95% confidence interval for the mean to have a range of ±1.7%, meaning that MARD can be estimated with high precision. Calculations of confidence intervals were done using normal approximation, assuming an SD of 5.5 percentage units.

The following variables will be collected from the electronic medical record (Take Care), from the ICU-specific patient data management system (Clinisoft) and/or from the handheld

Dexcom G6 monitor:
Patient-related variables:
  • Age, sex, height and weight

  • Comorbidities (including diabetes status)

  • Chronic medications

Clinical variables:
  • Date and time of ICU admission and discharge

  • Reason for ICU admission

  • Admission source (e.g. emergency department, other hospital, ward)

  • Illness severity scores (e.g. SAPS [Simplified Acute Physiology Score], SOFA [Sequential Organ Failure Assessment])

  • Hemodynamic variables (e.g. heart rate, blood pressure)

  • Blood gas results (including blood glucose concentration)

  • Other routine laboratory results (e.g. serum creatinine, serum albumin, haematocrit)

  • ICU mortality

Treatment variables:
  • Insulin doses (including continuous intravenous infusion rates, intravenous and subcutaneous insulin boluses) and times

  • Doses and administration time for other medications given in the ICU (e.g. Vasopressors, paracetamol)

Continuous Glucose Monitoring (CGM)-related variables:
  • Date and time of sensor insertion

  • Sensor insertion site

  • Number and duration of disconnection episodes

  • Reason for disconnection

  • Date and time of sensor calibrations

  • Sensor glucose values with date and time stamps

  • Date and time of sensor removal

  • Reason for sensor removal

  • Complications at sensor insertion site (redness, swelling, infection, bruising)

Exact date and time of sensor insertion will be manually recorded in a case report form at the bedside. Every time an arterial blood gas is obtained, the arterial blood glucose value and the corresponding CGM glucose value will be manually recorded along with date and time in the case report form. At the end of the study period, after removing the CGM sensor, CGM-data will be downloaded from the handheld Dexcom G6 monitor.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
40 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Diagnostic
Official Title:
The Performance of Dexcom G6 Glucose Monitoring in Critically Ill Patients
Actual Study Start Date :
Nov 19, 2021
Anticipated Primary Completion Date :
Dec 31, 2022
Anticipated Study Completion Date :
Dec 31, 2022

Arms and Interventions

Arm Intervention/Treatment
Other: Critically ill adults requiring insulin

Patients admitted to the intensive care unit requiring insulin infusion to maintain blood glucose within target range

Device: subcutaneous continuous glucose sensor
Dexcom G6 continuous glucose monitoring system

Outcome Measures

Primary Outcome Measures

  1. Mean absolute relative difference (MARD) [From date of sensor insertion until date of ICU discharge, date of removal of the arterial line, or date of death, whichever came first, assessed up to 10 days]

    MARD in percent between subcutaneous sensor glucose values and arterial blood glucose values

Secondary Outcome Measures

  1. Mean absolute difference (MAD) [From date of sensor insertion until date of ICU discharge, date of removal of the arterial line, or date of death, whichever came first, assessed up to 10 days]

    MAD between subcutaneous sensor glucose values and arterial blood glucose values

  2. Numerical accuracy according to ISO criteria [From date of sensor insertion until date of ICU discharge, date of removal of the arterial line, or date of death, whichever came first, assessed up to 10 days]

    Numerical accuracy between subcutaneous sensor glucose values and arterial blood glucose values determined according to the International Organization for Standardization (ISO) criteria from 2013 (ISO 15197:2013)

  3. Numerical accuracy according to CLSI standard [From date of sensor insertion until date of ICU discharge, date of removal of the arterial line, or date of death, whichever came first, assessed up to 10 days]

    Numerical accuracy between subcutaneous sensor glucose values and arterial blood glucose values determined according to the Clinical and Laboratory Standards Institute (CLSI) Point of Care Testing 12-A3 (POCT12-A3) standard

  4. Clinical accuracy determined by Clarke error grid analysis [From date of sensor insertion until date of ICU discharge, date of removal of the arterial line, or date of death, whichever came first, assessed up to 10 days]

    Clinical accuracy between subcutaneous sensor glucose values and arterial blood glucose values determined by Clarke error grid analysis

  5. Clinical accuracy determined by surveillance error grid analysis [From date of sensor insertion until date of ICU discharge, date of removal of the arterial line, or date of death, whichever came first, assessed up to 10 days]

    Clinical accuracy between subcutaneous sensor glucose values and arterial blood glucose values determined by surveillance error grid analysis

  6. Correlation [From date of sensor insertion until date of ICU discharge, date of removal of the arterial line, or date of death, whichever came first, assessed up to 10 days]

    Correlation between arterial blood glucose levels and subcutaneous sensor glucose values

Other Outcome Measures

  1. Number of interrupted sensor readings (Feasibility outcome) [From date of sensor insertion until date of ICU discharge, date of removal of the arterial line, or date of death, whichever came first, assessed up to 10 days]

    Number of interrupted sensor readings

  2. Duration of interrupted sensor readings (Feasibility outcome) [From date of sensor insertion until date of ICU discharge, date of removal of the arterial line, or date of death, whichever came first, assessed up to 10 days]

    Duration of interrupted sensor readings (hours)

  3. Adverse events (safety and tolerability) [From date of sensor insertion until date of ICU discharge, date of removal of the arterial line, or date of death, whichever came first, assessed up to 10 days]

    Local reactions (e.g. allergic skin reactions, bruising) related to sensor insertion/sensor adhesives

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Age ≥18 years

  • Admitted to ICU at the Karolinska University Hospital Solna

  • Indwelling arterial catheter in situ or expected to be inserted in the next 2 hours

  • Six hours or less since intravenous insulin infusion was commenced or intravenous insulin infusion expected to commence within the next 2 hours

  • Vasopressor infusion ongoing or expected to commence within the next 2 hours

  • Mechanical ventilation ongoing or expected to commence within the next 2 hours

  • Patient expected to stay in the ICU until the day after tomorrow

Exclusion Criteria:
  • Pregnancy

  • Unable to get consent from patient or next-of-kin

  • Patients in whom death is considered imminent (within 24 hours)

Contacts and Locations

Locations

Site City State Country Postal Code
1 Karolinska University Hospital Stockholm Sweden 17176

Sponsors and Collaborators

  • Region Stockholm
  • DexCom, Inc.

Investigators

  • Principal Investigator: Johan Mårtensson, MD, PhD, Karolinska University Hospital

Study Documents (Full-Text)

None provided.

More Information

Publications

Responsible Party:
Johan Mårtensson, Associate Professor, Region Stockholm
ClinicalTrials.gov Identifier:
NCT05255783
Other Study ID Numbers:
  • K 2021-5279
  • FoUI-960993
First Posted:
Feb 25, 2022
Last Update Posted:
Feb 25, 2022
Last Verified:
Feb 1, 2022
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
Yes
Product Manufactured in and Exported from the U.S.:
Yes
Additional relevant MeSH terms:

Study Results

No Results Posted as of Feb 25, 2022