- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03885362
Assessment of the Accuracy of Continuous Glucose Sensors in People With Diabetes Undergoing Haemodialysis (ALPHA)
Study Overview
Status
Intervention / Treatment
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.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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-
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London, United Kingdom
- Imperial College London/NHS trust Renal Unit
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Dexcom G6 and Abbott Freestyle Libre
Participants will have a Dexcom G6 sensor and Abbott FreeStyle Libre sensor inserted in the abdomen and upper arm respectively. Participants will be asked to swipe the FreeStyle Libre reader across the sensor a minimum of every 8 hours. Participants will be asked to continue their usual regimen of self-monitoring capillary blood glucose (SMBG). During haemodialysis, a dialysis circuit blood sample will be drawn at 0 (pre-dialysis) 30, 60, 90, 120, 150, 180, 210 and 240 minutes and immediately after dialysis. Samples from the circuit will be analysed on the YSI glucose analyser. Participants will be asked to change the FreeStyle Libre sensors at day 14. The blinded CGM data will be uploaded at the time of each sensor change by the research team. |
Dexcom G6 - continuous glucose monitoring device - blinded.
CE mark 2018 Abbott Freestyle Libre - flash glucose monitoring device.
CE mark 2014
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
MARD between G6 and YSI
Time Frame: 28 days
|
Mean absolute relative difference between Dexcom G6 and YSI glucose during haemodialysis
|
28 days
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MARD between Libre and YSI
Time Frame: 28 days
|
Mean absolute relative difference between Dexcom G6 and YSI glucose during haemodialysis
|
28 days
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
HbA1c
Time Frame: 28 days
|
Glycated Haemoglobin
|
28 days
|
MARD for G6 and YSI <3.9mmol/L
Time Frame: 28 days
|
Mean absolute relative difference between Dexcom G6 and YSI glucose <3.9mmol/L
|
28 days
|
MARD for Libre and YSI <3.9mmol/L
Time Frame: 28 days
|
Mean absolute relative difference between Libre and YSI glucose <3.9mmol/L
|
28 days
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MARD for Libre and YSI 3.9-10mmol/L
Time Frame: 28 days
|
Mean absolute relative difference between Libre and YSI glucose 3.9-10mmol/L
|
28 days
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MARD for Libre and YSI >10mmol/L
Time Frame: 28 days
|
Mean absolute relative difference between Libre and YSI glucose >10mmol/L
|
28 days
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MARD for G6 and YSI 3.9-10mmol/L
Time Frame: 28 days
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Mean absolute relative difference between Dexcom G6 and YSI glucose 3.9-10mmol/L
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28 days
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MARD for G6 and YSI >10mmol/L
Time Frame: 28 days
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Mean absolute relative difference between Dexcom G6 and YSI glucose >10mmol/L
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28 days
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MARD for G6 and YSI 24hr pre
Time Frame: 24 hours
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Mean absolute relative difference between Dexcom G6 and YSI glucose during 24 hours prior to heamodialysis
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24 hours
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MARD for Libre and YSI 24hr pre
Time Frame: 24 hours
|
Mean absolute relative difference between Libre and YSI glucose during 24 hours prior to heamodialysis
|
24 hours
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MARD for Libre and YSI 24hr post
Time Frame: 24 hours
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Mean absolute relative difference between Libre and YSI glucose during 24 hours after heamodialysis
|
24 hours
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MARD for G6 and YSI 24hr post
Time Frame: 24 hours
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Mean absolute relative difference between Dexcom G6 and YSI glucose during 24 hours after heamodialysis
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24 hours
|
CEG analysis G6 and YSI
Time Frame: 28 DAYS
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Clarke Error Grid analysis between Dexcom G6 and YSI glucose during haemodialysis
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28 DAYS
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CEG analysis Libre and YSI
Time Frame: 28 DAYS
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Clarke Error Grid analysis between Libre and YSI glucose during haemodialysis
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28 DAYS
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Severe hypoglycaemia
Time Frame: 28 days
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Episodes of severe hypoglycaemia
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28 days
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DKA
Time Frame: 28 days
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Diabetic Ketoacidosis
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28 days
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Sensor failure
Time Frame: 28 days
|
Events of G6/libre sensor failure
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28 days
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Missing glucose data
Time Frame: 28 days
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Missing blood glucose data for G6/libre measured by number of missing data points
|
28 days
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Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Beck RW, Riddlesworth T, Ruedy K, Ahmann A, Bergenstal R, Haller S, Kollman C, Kruger D, McGill JB, Polonsky W, Toschi E, Wolpert H, Price D; DIAMOND Study Group. Effect of Continuous Glucose Monitoring on Glycemic Control in Adults With Type 1 Diabetes Using Insulin Injections: The DIAMOND Randomized Clinical Trial. JAMA. 2017 Jan 24;317(4):371-378. doi: 10.1001/jama.2016.19975.
- Coresh J, Selvin E, Stevens LA, Manzi J, Kusek JW, Eggers P, Van Lente F, Levey AS. Prevalence of chronic kidney disease in the United States. JAMA. 2007 Nov 7;298(17):2038-47. doi: 10.1001/jama.298.17.2038.
- Levin A. Clinical epidemiology of cardiovascular disease in chronic kidney disease prior to dialysis. Semin Dial. 2003 Mar-Apr;16(2):101-5. doi: 10.1046/j.1525-139x.2003.16025.x.
- Creme D, McCafferty K. Glycaemic Control Impact on Renal Endpoints in Diabetic Patients on Haemodialysis. Int J Nephrol. 2015;2015:523521. doi: 10.1155/2015/523521. Epub 2015 Sep 20.
- National Kidney Foundation. KDOQI Clinical Practice Guideline for Diabetes and CKD: 2012 Update. Am J Kidney Dis. 2012 Nov;60(5):850-86. doi: 10.1053/j.ajkd.2012.07.005. Erratum In: Am J Kidney Dis. 2013 Jun;61(6):1049.
- Haviv YS, Sharkia M, Safadi R. Hypoglycemia in patients with renal failure. Ren Fail. 2000 Mar;22(2):219-23. doi: 10.1081/jdi-100100866.
- Lee KF, Szeto YT, Benzie IF. Glycohaemoglobin measurement: methodological differences in relation to interference by urea. Acta Diabetol. 2002 Apr;39(1):35-9. doi: 10.1007/s005920200010.
- Inaba M, Okuno S, Kumeda Y, Yamada S, Imanishi Y, Tabata T, Okamura M, Okada S, Yamakawa T, Ishimura E, Nishizawa Y; Osaka CKD Expert Research Group. Glycated albumin is a better glycemic indicator than glycated hemoglobin values in hemodialysis patients with diabetes: effect of anemia and erythropoietin injection. J Am Soc Nephrol. 2007 Mar;18(3):896-903. doi: 10.1681/ASN.2006070772. Epub 2007 Jan 31.
- Joy MS, Cefalu WT, Hogan SL, Nachman PH. Long-term glycemic control measurements in diabetic patients receiving hemodialysis. Am J Kidney Dis. 2002 Feb;39(2):297-307. doi: 10.1053/ajkd.2002.30549.
- Pickup JC, Freeman SC, Sutton AJ. Glycaemic control in type 1 diabetes during real time continuous glucose monitoring compared with self monitoring of blood glucose: meta-analysis of randomised controlled trials using individual patient data. BMJ. 2011 Jul 7;343:d3805. doi: 10.1136/bmj.d3805.
- Lind M, Polonsky W, Hirsch IB, Heise T, Bolinder J, Dahlqvist S, Schwarz E, Olafsdottir AF, Frid A, Wedel H, Ahlen E, Nystrom T, Hellman J. Continuous Glucose Monitoring vs Conventional Therapy for Glycemic Control in Adults With Type 1 Diabetes Treated With Multiple Daily Insulin Injections: The GOLD Randomized Clinical Trial. JAMA. 2017 Jan 24;317(4):379-387. doi: 10.1001/jama.2016.19976. Erratum In: JAMA. 2017 May 9;317(18):1912.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 18SM4938
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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