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Assessment of the Accuracy of Continuous Glucose Sensors in People With Diabetes Undergoing Haemodialysis

Assessment of the Accuracy of Continuous Glucose Sensors in People With Diabetes Undergoing Haemodialysis

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03885362
Acronym
ALPHA
Enrollment
40
Registered
2019-03-21
Start date
2019-12-11
Completion date
2022-07-01
Last updated
2022-08-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Kidney Diseases, Diabetic Nephropathies, Type 1 Diabetes Mellitus

Keywords

Type 1 Diabetes Mellitus, Chronic Kidney Diseases

Brief summary

The purpose of the study is to assess the accuracy of the Dexcom G6 CGM system and the Abbott FreeStyle Libre flash system compared to the reference standard YSI (Yellow Spring Instruments) glucose in people with diabetes undergoing haemodialysis. The Dexcom G6 is a continuous glucose monitoring system that gives blood glucose values in real-time and includes alarms if the glucose is very low or high. The Abbott FreeStyle ibre flash system is an intermittent glucose monitor that shows the blood glucose values when it is waved near the sensor and does not include alarms. The YSI glucose analysis will take place as a normal part of haemodialysis, by testing blood glucose levels during the haemodialysis session. The study will last 28 days per participant

Detailed 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 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, the investigators 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.

Interventions

DEVICEDexcom G6 and Abbott Freestyle Libre

Dexcom G6 - continuous glucose monitoring device - blinded. CE mark 2018 Abbott Freestyle Libre - flash glucose monitoring device. CE mark 2014

Sponsors

Imperial College London
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
PREVENTION
Masking
NONE

Masking description

Blinded CGM but not Libre

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adults \>18 years of age * Diabetes, with insulin treatment for over 6 months or on sulphonylureas * Chronic kidney disease requiring haemodialysis three times per week

Exclusion criteria

* Pregnant or planning pregnancy * Breastfeeding * Enrolled in other clinical trials * Have active malignancy or under investigation for malignancy * Severe visual impairment * Reduced manual dexterity * Unable to participate due to other factors, as assessed by the Chief Investigators

Design outcomes

Primary

MeasureTime frameDescription
MARD between G6 and YSI28 daysMean absolute relative difference between Dexcom G6 and YSI glucose during haemodialysis
MARD between Libre and YSI28 daysMean absolute relative difference between Dexcom G6 and YSI glucose during haemodialysis

Secondary

MeasureTime frameDescription
MARD for Libre and YSI <3.9mmol/L28 daysMean absolute relative difference between Libre and YSI glucose \<3.9mmol/L
MARD for Libre and YSI 3.9-10mmol/L28 daysMean absolute relative difference between Libre and YSI glucose 3.9-10mmol/L
MARD for Libre and YSI >10mmol/L28 daysMean absolute relative difference between Libre and YSI glucose \>10mmol/L
MARD for G6 and YSI 3.9-10mmol/L28 daysMean absolute relative difference between Dexcom G6 and YSI glucose 3.9-10mmol/L
MARD for G6 and YSI >10mmol/L28 daysMean absolute relative difference between Dexcom G6 and YSI glucose \>10mmol/L
MARD for G6 and YSI 24hr pre24 hoursMean absolute relative difference between Dexcom G6 and YSI glucose during 24 hours prior to heamodialysis
MARD for Libre and YSI 24hr pre24 hoursMean absolute relative difference between Libre and YSI glucose during 24 hours prior to heamodialysis
HbA1c28 daysGlycated Haemoglobin
MARD for G6 and YSI 24hr post24 hoursMean absolute relative difference between Dexcom G6 and YSI glucose during 24 hours after heamodialysis
CEG analysis G6 and YSI28 DAYSClarke Error Grid analysis between Dexcom G6 and YSI glucose during haemodialysis
CEG analysis Libre and YSI28 DAYSClarke Error Grid analysis between Libre and YSI glucose during haemodialysis
Severe hypoglycaemia28 daysEpisodes of severe hypoglycaemia
DKA28 daysDiabetic Ketoacidosis
Sensor failure28 daysEvents of G6/libre sensor failure
Missing glucose data28 daysMissing blood glucose data for G6/libre measured by number of missing data points
MARD for Libre and YSI 24hr post24 hoursMean absolute relative difference between Libre and YSI glucose during 24 hours after heamodialysis
MARD for G6 and YSI <3.9mmol/L28 daysMean absolute relative difference between Dexcom G6 and YSI glucose \<3.9mmol/L

Countries

United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026