Recruitment

Recruitment Status
Recruiting
Estimated Enrollment
Same as current

Summary

Conditions
  • Chronic Kidney Diseases
  • Diabetic Nephropathies
  • Type 1 Diabetes Mellitus
Type
Interventional
Phase
Not Applicable
Design
Allocation: N/AIntervention Model: Single Group AssignmentMasking: None (Open Label)Masking Description: Blinded CGM but not LibrePrimary Purpose: Prevention

Participation Requirements

Age
Between 18 years and 125 years
Gender
Both males and females

Description

Diabetic nephropathy is the leading cause of end-stage renal failure (ESRF), representing approximately 40% of people requiring long-term renal replacement therapy and maintenance haemodialysis [1]. Mortality and morbidity within this cohort is high, with the predominant cause being cardiovascular d...

Diabetic nephropathy is the leading cause of end-stage renal failure (ESRF), representing approximately 40% of people requiring long-term renal replacement therapy and maintenance haemodialysis [1]. Mortality and morbidity within this cohort is high, with the predominant cause being cardiovascular disease (CVD) [2]. Glycaemic control in many haemodialysis dependent patients with diabetes is poor and may lead to additional renal complications, including high interdialytic weight gain, electrolyte imbalance, and amputations [3]. Current clinical guidance is centred around the prevention of hyperglycaemia and microvascular complications of diabetes. Glucose self-management is particularly challenging due to cyclical changes in insulin sensitivity and circulating insulin concentrations. Hypoglycemia is common due to impaired renal gluconeogenesis, malnutrition, and the increased half-life of insulin and hypoglycemic agents [4, 5]. Additionally, people with chronic kidney disease and diabetes may have other diabetes complications such as retinopathy, neuropathy, and impaired awareness of hypoglycaemia, which can make self-management more difficult. Overall assessment of glycaemic control is also more complex as classical markers of glycemic control (i.e. HbA1c and fructosamine) may be misleading due to the variable underestimation of glycaemia resulting from analytical interferences, shortened half-life of red blood cells and abnormal albumin level [6-8]. Further limitations of HbA1c is that it is not informative regarding glycemic control on the days on and off dialysis, and intra-day glycaemic variability. Frequent capillary blood glucose tests or self-monitoring of blood glucose (SMBG) is the traditional and one of the most effective ways to track an individuals' blood glucose levels. Real-time continuous glucose monitoring (CGM) has been shown to improve overall glucose control, reduce hypoglycaemia in people with an HbA1c <7.0%, and may reduce severe hypoglycaemia [9-11]. In addition, they provide alert and alarm features for hypo- and hyperglycaemia, and for times of rapid glucose change. Flash glucose monitoring does not provide real-time data with alerts and alarms, but allows users to retrospectively review the preceding 8 hours of continuous glucose data, along with a contemporary estimated blood glucose value and trend line. The system consists of a subcutaneous sensor placed on the back of the upper arm, which measures glucose in the interstitial fluid every minute. The glucose data are made available when the user chooses to swipe the reader over the sensor. CGM has the potential to reduce HbA1c and minimize exposure to hypoglycaemia while addressing diabetes distress. Flash glucose monitoring may reduce exposure to hypoglycaemia in people with insulin-treated diabetes. The accuracy of CGM and flash in people with diabetes on haemodialysis has not been described. In this clinical study, we will assess the accuracy of the Dexcom G6 CGM system and the Abbott FreeStyle Libre flash system compared to YSI (Yellow Spring Instruments) glucose in people undergoing haemodialysis.

Tracking Information

NCT #
NCT03885362
Collaborators
Not Provided
Investigators
Principal Investigator: Nick Oliver Imperial College London