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Glycaemic Markers in Persons With Type 2 Diabetes on Haemodialysis

Completed
Conditions
Diabetic Nephropathy Type 2
Type2 Diabetes
Interventions
Device: Continuous glucose monitoring
Diagnostic Test: Glycaemic markers
Radiation: Erythrocyte life span
Device: Carbon monoxide (CO)-rebreathing method
Registration Number
NCT03909269
Lead Sponsor
Rigshospitalet, Denmark
Brief Summary

To investigate the correlation between the mean glucose concentration measured by continuous glucose monitoring (CGM) and the estimated mean blood glucose from glycated haemoglobin A1c (HbA1c) in persons with type 2 diabetes and on chronic haemodialysis. Furthermore, the aim is to compare CGM and HbA1c with glycated albumin and fructosamine.

Detailed Description

Background:

In persons with diabetes, glycated haemoglobin A1c (HbA1c) is used as a retrospective measurement of the patient's estimated mean blood glucose over the past 3 months. HbA1c forms in a non-enzymatic pathway when haemoglobin is exposed to blood glucose. The normal range of HbA1c and the correlation to the estimated mean blood glucose is determined from studies in persons with normal erythrocyte turnover of approximately 120 days and without severe chronic kidney disease (CKD). Several smaller studies have shown that HbA1c in persons with type 2 diabetes and CKD, especially on chronic haemodialysis, is an uncertain marker of the mean blood glucose. Generally, studies show that HbA1c underestimate the actual mean blood glucose. The reason for a false low HbA1c in persons with type 2 diabetes and with CKD has yet to be established. However, it is known that erythropoietin treatment and iron infusion increases the erythropoiesis, which results in new non-glycated erythrocytes, and this is likely to lower HbA1c. The erythrocyte life span is found to be reduced in persons on dialysis, which in combination with blood loss from the dialysis also contributes to a reduction in HbA1c. The shorter erythrocyte life span is thought to be due to the toxic uraemic environment as well as mechanical damage caused by haemodialysis.

Objective:

To investigate the correlation between the mean glucose concentration measured by CGM and the estimated mean blood glucose from HbA1c in persons with type 2 diabetes and on chronic haemodialysis compared to a control groups of persons with type 2 diabetes and normal renal function.

Method:

Prospective case-control study over 17 weeks with 40 persons in each group. The case group consist of 40 persons with type 2 diabetes and on chronic haemodialysis. The control group consists of persons with type 2 diabetes and normal renal function (defined as and estimated glomerular filtration rate (eGFR) above 60 ml/min). CGM is performed for a maximum of seven days on week 0, 4, 8, 12 and 16 of the study period with simultaneous analysis of glycaemic markers (HbA1c, glycated albumine and fructosamine). Each of the first five visit was conducted with 3 to 5 weeks interval and the final visit not more than two weeks after the final visit. The erythrocyte life span will be measured with an isotope (Crom-51) method in both the dialysis group and the control group, to establish if diminished erythrocyte life span and falsely low HbA1c is correlated.

Statistical methods:

The null hypothesis is that there is no difference between the ratio of total mean glucose from CGM and estimated mean blood glucose from HbA1c at week 17 when measured in type 2 diabetic persons on chronic haemodialysis compared to type 2 diabetic persons with normal renal function.

The alternative hypothesis is that there is a difference in the ratio between the groups which in a pilot study of persons with diabetes on chronic haemodialysis was found to be 0.16 (mean glucose from CGM/mean blood glucose from HbA1c) when compared to persons with diabetes with out nephropathy.

From one of the pilot arms ώ = 0.148 and σ = 0.128 were extracted. The following scenarios were considered; β(0) = 0 and β (1) = 0, 0.01, ..., 0.2 and n = 40. For each scenario, 5000 data sets were simulated in accordance with the above specifications. Each data set was analyzed by a mixed linear model with treatment arm as fixed effect and person as random effect. The hypothesis β(0) = β(1) was tested at a significance of 5%. The simulated effect in each scenario was calculated as the fraction of rejections in the 5000 tests. Datasets were simulated in the statistical programming language R (www.r-project.org). The smallest difference in the ratio of mean glucose from CGM and mean blood glucose from HbA1c that could be detected with a power of 80% based on the likelihood ratio test described above and using a 5% significance level was 0.1 for n=40 per arm.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
88
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Haemodialysis and type 2 diabetesErythrocyte life spanOn chronic haemodialysis and type 2 diabetes
Control groupErythrocyte life spanType 2 diabetes and with eGFR above 60ml/min
Control groupGlycaemic markersType 2 diabetes and with eGFR above 60ml/min
Haemodialysis and type 2 diabetesCarbon monoxide (CO)-rebreathing methodOn chronic haemodialysis and type 2 diabetes
Control groupContinuous glucose monitoringType 2 diabetes and with eGFR above 60ml/min
Haemodialysis and type 2 diabetesContinuous glucose monitoringOn chronic haemodialysis and type 2 diabetes
Haemodialysis and type 2 diabetesGlycaemic markersOn chronic haemodialysis and type 2 diabetes
Primary Outcome Measures
NameTimeMethod
HbA1c evaluated by the total mean glucose from continuous glucose monitoring17 weeks

Difference between groups in the ratio of total mean glucose measured by continuous glucose monitoring over the estimated mean blood glucose from HbA1c measured at week 17. For each CGM measurement at least 48 hours must be completed and three out of five periods with CGM. In total a least 14 days must be completed.

Secondary Outcome Measures
NameTimeMethod
Time in hypoglycaemic range below 3.9 mmol/l to 3.0 mmol/l17 weeks

Time in hypoglycaemic range(%) below 3.9 mmol/l to 3.0 mmol/l evaluated by continuous glucose monitoring . For the group on haemodialysis the days of haemodialysis and the days without haemodialysis will also be evaluated separately

Erythrocyte life span4 weeks

Erythrocytes are labelled with Cr-51 and reinjected 3 hours after incubation. Blood samples for counts per minute will be taken twice a week the following four weeks which makes it possible to extrapolate the curve of the erythrocyte life span for each patient.

Blood volume4 hours

Carbon monoxide rebreathing method for measurements of total blood volume (liter), plasma volume (liter) and erythrocyte volume (liter)

Glycated albumin17 weeks

Plots illustrating the correlation between mean glucose from continuous glucose monitoring and glycated albumin (%) for each week

Fructosamine17 weeks

Plots illustrating the correlation between mean glucose from continuous glucose monitoring and fructosamine (μmol/l) for each week

Time in hypoglycaemic range below 3.0 mmol/l17 weeks

Time in hypoglycaemic range(%) below 3.0 mmol/l evaluated by continuous glucose monitoring . For the group on haemodialysis the days of haemodialysis and the days without haemodialysis will also be evaluated separately

Standard deviation17 weeks

Standard deviation for glycaemic variability measured by continuous glucose monitoring in both Groups. For the group on haemodialysis the days of haemodialysis and the days without haemodialysis will also be evaluated separately

Low Blood Glucose Index17 weeks

Low Blood Glucose Index for glycaemic variability measured by continuous glucose monitoring in both Groups. Is a risk index for predicting hypoglycaemia. For the group on haemodialysis the days of haemodialysis and days without haemodialysis will also be evaluated separately.

Time in hyperglycaemic range above 13.9 mmol/l17 weeks

Time in hyperglycaemic range(%) above 13.9 mmol/l evaluated by continuous glucose monitoring . For the group on haemodialysis the days of haemodialysis and the days without haemodialysis will also be evaluated separately

Coefficient variation17 weeks

Coefficient variation for glycaemic variability measured by continuous glucose monitoring in both groups. For the group on haemodialysis the days of haemodialysis and the days without haemodialysis will also be evaluated separately. A coefficient variation below 36% is considered stable and above is considered unstable.

High Blood Glucose Index17 weeks

High Blood Glucose Index for glycaemic variability measured by continuous glucose monitoring in both groups. Is a risk index for predicting hyperglycaemia. For the group on haemodialysis the days of haemodialysis and the days without haemodialysis will also be evaluated separately

Time in target range from 3.9 mmol/l to 10.0 mmol/l17 weeks

Time in target range(%) from 3.9 mmol/l to 10.0 mmol/l evaluated by continuous glucose monitoring . For the group on haemodialysis the days of haemodialysis and the days without haemodialysis will also be evaluated separately

HbA1c evaluated by the mean glucose from continuous glucose monitoring for each week17 weeks

Plots illustrating the correlation between mean glucose from continuous glucose monitoring and HbA1c for each week

Time in hyperglycaemic range above 10.0 mmol/l17 weeks

Time in hyperglycaemic range(%) above 10.0 mmol/l evaluated by continuous glucose monitoring . For the group on haemodialysis the days of haemodialysis and the days without haemodialysis will also be evaluated separately

Hypoglycaemic events17 weeks

Beginning of a CGM event is defined as a reading below the threshold for at least 15 min for either a value below 3.0 mmol/l or between 3.9 mmol/l to 3.0 mmol/l. The end of a CGM event is defined as a reading for 15 min above 3.9 mmol/l.

Trial Locations

Locations (1)

Rigshospitalet

🇩🇰

København Ø, Denmark

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