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Glucose Variability in Type 1 Diabetes and Its Effect on Factors That Influence New Vessel Formation

Not Applicable
Completed
Conditions
Type 1 Diabetes
Interventions
Device: Continuous Glucose Monitor (CGM) and Telemedicine (Enlite Guardian real-time system Medtronic®)
Registration Number
NCT01429467
Lead Sponsor
University of Dundee
Brief Summary

The aim of the study is to see how glycaemic control and glycaemic variability affect levels of HIF, VEGF, erythropoietin and cortisol in Paediatric Type 1 diabetics on insulin pump therapy.

Detailed Description

The study will have two parts. The first phase will look at all current paediatric type 1 diabetics in Tayside on continuous subcutaneous insulin pump therapy and measure their levels of Hypoxia-Inducible Factor (HIF), Vascular Endothelial Growth Factor (VEGF), erythropoietin and cortisol. This will help answer the question; Does glucose control (as expressed by HbA1c ) effect levels of HIF, VEGF, erythropoietin and cortisol? To our knowledge this will be the first human study comparing how HIF, VEGF, erythropoietin and cortisol are affected by glucose control

The second phase of the trial will chose 10 patients on insulin pump therapy and using a continuous glucose monitor (CGM), monitor their glucose variability over a period of 6 weeks. After this period their levels of HIF, VEGF, erythropoietin and cortisol will again be measured. This will help answer the question of whether there is a relationship between glucose variability and levels of HIF, VEGF, erythropoietin and cortisol. As we know that these factors are stimulated by episodes of hypo and hyperglycaemia, it is hypothesised that these factors will be lower in participants that demonstrate reduced glucose variability. It will be the first study to give detailed information on the relationship between HIF, VEGF, erythropoietin and cortisol and glucose variability.

By using telemedicine sessions during weeks 1, 3 and 5 of the participants wearing CGM we will aim to improve the participant's glucose variability. This will help give further information about glucose variability and the above factors as well as giving further evidence for the use of telemedicine and CGM to improve glycaemic control in adolescent diabetics.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
35
Inclusion Criteria

Phase 1 inclusion:

  • Patients with Type 1 Diabetes
  • On insulin pump therapy.
  • Aged 5 years to 18 years.

Phase 2 inclusion:

  • Patents with Type 1 Diabetes
  • Diabetes diagnosis for 1 year
  • On insulin pump therapy for minimum of six months
  • Access to a computer with internet access and telephone
  • Agree to wear CGM for 6 weeks
  • Aged 12 years to 18 years
Exclusion Criteria
  • Patients not on pump therapy
  • Patient less than 5 years and greater than 18 years
  • Phase 2 patients been on pump therapy for less than 6 months
  • Phase 2 patients without access to internet and telephone.
  • Phase 2 patients less than 12 years and greater than 18 years
  • Patients who do not have a good understanding of English

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
Continuous Glucose Monitoring (CGM)Continuous Glucose Monitor (CGM) and Telemedicine (Enlite Guardian real-time system Medtronic®)10 participants from phase 1 will undergo 6 weeks of CGM with telemedicine support at weeks 1,3 + 5. After this period HIF, Erythropoietin, VEGf and cortisol will again be measured and compared with the subjects glucose variability.
Primary Outcome Measures
NameTimeMethod
Correlation of HbA1c and level of Hypoxia-inducible FactorBaseline

This will look at all the results from Phase 1 participants and see if their is a correlation between participants HbA1c and their level of Hypoxia-inducible factor.

Correlation of HbA1c and level of Vascular Endothelial Growth FactorBaseline

This will look at all the results from Phase 1 participants and see if their is a correlation between participants HbA1c and their level of Vascular Endothelial Growth Factor.

Correlation of HbA1c and level of ErythropoietinBaseline

This will look at all the results from Phase 1 participants and see if their is a correlation between participants HbA1c and their level of Erythropoietin.

Correlation of HbA1c and level of cortisolBaseline

This will look at all the results from Phase 1 participants and see if their is a correlation between participants HbA1c and their level of Cortisol.

Secondary Outcome Measures
NameTimeMethod
Change in Mean Area of Glucose Excursion (MAGE) following CGM6 weeks

The Mean Area of Glucose Excursion (MAGE) will be calculated for all phase 2 particpants from the CGM data in the first 3 days and last 3 days of the 6 week CGM period. These will then be compared to see if there is a statistical difference between MAGE after CGM intervention.

Change in levels of Hypoxia-inducible factor following CGM6 weeks

Levels of Hypoxia-inducible factor will be measured in phase 2 participants post CGM and compared with baseline Hypoxia-inducible factor taken in phase 1 to see if there is a statistical difference.

Change in levels of Vascular Endothelial Growth Factor following CGM6 weeks

Levels of Vascular Endothelial Growth Factor will be measured in phase 2 participants post CGM and compared with baseline Vascular Endothelial Growth Factor taken in phase 1 to see if there is a statistical difference.

Change in levels of erythropoietin following CGM6 weeks

Levels of Erythropoietin will be measured in phase 2 participants post CGM and compared with baseline Erythropoietin taken in phase 1 to see if there is a statistical difference.

Change in levels of cortisol following CGM6 weeks

Levels of Cortisol will be measured in phase 2 participants post CGM and compared with baseline Cortisol taken in phase 1 to see if there is a statistical difference.

Trial Locations

Locations (1)

University Of Dundee

🇬🇧

Dundee, Angus, United Kingdom

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