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The Effect of Continuous Glucose Monitoring in Surgical Patients With Diabetes. (WARD-glucose)

C

Christian S. Meyhoff

Status and phase

Enrolling
Phase 4

Conditions

Perioperative Complication
Diabetes Mellitus
Dysglycemia

Treatments

Device: Dexcom G7 Continuous Glucose Monitoring (CGM) System (G7)

Study type

Interventional

Funder types

Other

Identifiers

NCT06314061
WARD-glucose RCT v.2.2

Details and patient eligibility

About

The goal of this randomised controlled trial to investigate the effect of continuous glucose monitoring (CGM) compared to standard point-of-care (POC) blood glucose measurements in surgical patients with diabetes in patients.

The main question it aims to answer is:

• Can the use of the CGM device Dexcom G7 with real-time alerts on dysglycaemia increase the time in range for glucose levels as compared with standard monitoring with point-of-care blood glucose in surgical patients with diabetes?

Participants will be asked to wear a CGM device (Dexcom G7, Dexcom Inc.) during their stay in the hospital. For patients in the intervention group, deviations of glucose levels will provide the nursing staff with alerts. All patients will receive standard care of their diabetes. The CGM device will be worn for up to 10 days or until discharge.

Full description

This is a prospective randomised controlled multicentre trial on patients living with diabetes who undergo surgery at Rigshospitalet, Copenhagen University, Bispebjerg and Frederiksberg Hospital, Copenhagen University, and Zealand University Hospital, Køge, Denmark

The study aims to investigate the effect of the CGM-device Dexcom G7 CGM in patients with diabetes undergoing surgery on the diabetic control. The Dexcom G7 provides glucose readings every 5 minutes and can send alerts on dysglycaemia (hypo- and hyperglycaemia) to mobile devices held by the nursing staff.

Patients will wear the CGM before, during and up to 10 days postoperatively.

The study will include 200 patients.

This study is part of an overall project that aims to investigate the use of CGM and continuous wireless monitoring of vital signs in patients with diabetes undergoing major surgery. Using this technology, postoperative complications including dysglycaemia can potentially be detected and treated earlier thus improving the perioperative care.

Enrollment

200 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Medical history with diabetes mellitus (DM1 or DM2 (insulin-dependent and non-insulin-dependent) requiring antidiabetic drug(s)
  • Acute or elective abdominal, orthopaedic, urological, or vascular surgery with estimated duration of surgery >45 minutes
  • Expected stay for at least one night in the hospital postoperatively

Exclusion criteria

  • Local skin symptoms including infection at the posterior aspect of the upper arm that does not allow the sensor to be placed on an unaffected skin area
  • Known allergy to the equipment plaster
  • Known pregnancy
  • Patients with pacemaker or implantable cardioverter defibrillator (ICD) device
  • Previous or currently scheduled for pancreatectomy (complete or partial)
  • Patients receiving hydroxyurea (these drugs may interfere with CGM readings)

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

200 participants in 2 patient groups

Intervention group
Experimental group
Description:
Participants in the intervention group will wear the CGM-device Dexcom G7, and real-time alerts on dysglycaemia and rapidly increasing or falling glucose levels will alert the nursing staff.
Treatment:
Device: Dexcom G7 Continuous Glucose Monitoring (CGM) System (G7)
Control group
No Intervention group
Description:
Participants in the control group will wear a blinded CGM device. The nursing staff will monitor glucose levels with standard care using POC blood glucose measurements.

Trial contacts and locations

3

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Central trial contact

Christian S Meyhoff, MD, PhD; Casper Pedersen, MD

Data sourced from clinicaltrials.gov

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