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

NCT ID: NCT03885362

Last Updated: 2022-08-05

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

40 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-12-11

Study Completion Date

2022-07-01

Brief Summary

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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

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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.

Conditions

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Diabetic Nephropathies Type 1 Diabetes Mellitus Chronic Kidney Diseases

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

PREVENTION

Blinding Strategy

NONE

Blinded CGM but not Libre

Study Groups

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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.

Group Type EXPERIMENTAL

Dexcom G6 and Abbott Freestyle Libre

Intervention Type DEVICE

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

Interventions

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Dexcom 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

Intervention Type DEVICE

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Imperial College London

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Nick Oliver

Role: PRINCIPAL_INVESTIGATOR

Imperial College London

Locations

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Imperial College London/NHS trust Renal Unit

London, , United Kingdom

Site Status

Countries

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United Kingdom

References

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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.

Reference Type BACKGROUND
PMID: 17986697 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 12641872 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 26457201 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 23067652 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 10803766 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 12043937 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 17267743 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 11840370 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 21737469 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 28118453 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 28118454 (View on PubMed)

Other Identifiers

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18SM4938

Identifier Type: -

Identifier Source: org_study_id

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