Type1diabetes Clinical Trial
— IHART-CGMOfficial title:
Impact on Hypoglycaemia Awareness of Real Time CGM and Intermittent Continuous
NCT number | NCT03028220 |
Other study ID # | 15HH2875 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | January 2016 |
Est. completion date | August 2017 |
Verified date | October 2019 |
Source | Imperial College London |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This clinical study proposes to assess the impact of Libre on frequency, duration and severity of hypoglycaemia, compared with the Dexcom G5 realtime CGM and will focus on people with impaired awareness of hypoglycaemia.
Status | Completed |
Enrollment | 40 |
Est. completion date | August 2017 |
Est. primary completion date | February 2017 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Adults over 18 years of age - Type 1 diabetes confirmed on the basis of clinical features and a fasting c-peptide <200 pmol/L - Severe hypoglycaemic event in the last 12 months requiring third party assistance OR a Gold Score = 4 - Type 1 diabetes for greater than 3 years - On an intensified multiple dose insulin injection regimen for > 6 months (MDI) - Previous type 1 diabetes structured education (either group or 1:1) Exclusion Criteria: - Use of CGM or Libre device within the last 6 months (except short periods of diagnostic blinded use under clinic supervision) - Use of regular paracetamol - Pregnant or planning pregnancy - Breastfeeding - Enrolled in other clinical trials, except at the discretion of the chief investigator - 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 |
Country | Name | City | State |
---|---|---|---|
n/a |
Lead Sponsor | Collaborator |
---|---|
Imperial College London |
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | % Time Spent in Hypoglycaemia (<3.3mmol/L, 60mg/dL) | Percentage time spent in hypoglycaemia (<3.3mmol/L, 60mg/dL) change from baseline | 10 weeks | |
Secondary | % Time Spent in Hypoglycaemia (<2.8mmol/L, 50mg/dL) | Percentage time spent in hypoglycaemia (<2.8mmol/L, 50mg/dL) change from baseline | 10 weeks | |
Secondary | % Time Spent in Hypoglycaemia (<3.9mmol/L, 70mg/dL) | Percentage time spent in hypoglycaemia (<3.9mmol/L, 70mg/dL) change in baseline to endpint | 10 weeks | |
Secondary | % Time Spent in Euglycaemia (3.9-7.8mmol/L, 70-140mg/dL) | Percentage time spent in euglycaemia (3.9-7.8mmol/L, 70-140mg/dL) change in baseline to endpoint | 10 weeks | |
Secondary | % Time Spent in Euglycaemia (3.9-10mmol/L, 70-180mg/dL) | Percentage time spent in euglycaemia (3.9-10mmol/L, 70-180mg/dL) change in baseline to endpoint | 10 weeks | |
Secondary | % Time Spent in Hyperglycaemia (>10mmol/L, 180mg/dL) | Percentage time spent in hyperglycaemia (>10mmol/L, 180mg/dL) change in baseline to endpoint | 10 weeks | |
Secondary | % Time Spent in Hyperglycaemia (>15mmol/L, 270mg/dL) | % time spent in hyperglycaemia (>15mmol/L, 270mg/dL) change in baseline to endpoint | 10 weeks | |
Secondary | Hypoglycemia | Number of participants with hypoglycemic excursions | 8 weeks | |
Secondary | Severe Hypoglycaemia | Number of participants with episodes of severe hypoglycaemia | 8 weeks | |
Secondary | Changes in Glucose Variability Measured | Glucose Variability measured by Coefficient of variation (CV), on a decimal scale of 0-1 | 8 weeks | |
Secondary | Glucose Variability Measured by MAGE | Glucose Variability measured by Mean amplitude of Glycaemic Excursions (MAGE) | 8 weeks | |
Secondary | Glucose Variability Measured by CONGA | Glucose Variability measured by Continuous Overlapping Net Glycaemic Action (CONGA) | 8 weeks |
Status | Clinical Trial | Phase | |
---|---|---|---|
Completed |
NCT03886974 -
Transition to Adult Care in Type 1 Diabetes
|
||
Completed |
NCT05620251 -
Response to BNT162b2 Vaccine in Adolescents With Type 1 Diabetes
|
||
Completed |
NCT03623113 -
The Dietary Education Trial in Carbohydrate Counting (DIET-CARB Study in Type 1 Diabetes
|
N/A | |
Active, not recruiting |
NCT05078658 -
Low-carbohydrate Diet in Children With Type 1 Diabetes
|
N/A | |
Not yet recruiting |
NCT06018324 -
CloudCare in the Treatment of Type 1 Diabetes in Pediatrics
|
||
Withdrawn |
NCT03736083 -
Introducing CGM at Type 1 Diabetes Diagnosis
|
N/A | |
Completed |
NCT03177096 -
Impact of the Continuous Measurement of Blood Glucose on Insulin Pump on Child Quality of Life With Type 1 Diabetes
|
N/A | |
Not yet recruiting |
NCT06418269 -
The Effect of Therapeutic Play on Anxiety and Fear Levels in Children With Diabetes
|
N/A | |
Completed |
NCT04172077 -
Self Efficacy Levels, Attachment Style and Resiliency of Youth With Type 1 Diabetes
|
||
Recruiting |
NCT04950634 -
Sexual Dimorphism in Cardiovascular Autonomic Neuropathy in Patients With Type 1 Diabetes
|
||
Completed |
NCT04450745 -
Physical Exercise in Normobaric Hypoxia and Normoxia in Type 1 Diabetic Patients
|
N/A | |
Completed |
NCT03165786 -
A Cognitive Behavioral Intervention to Reduce Fear of Hypoglycemia in Young Adults With Type 1 Diabetes
|
N/A | |
Terminated |
NCT04028960 -
IN Insulin in Type 1 Diabetes (T1D) Hypoglycemia Unawareness: Safety Only Phase
|
Phase 2 | |
Recruiting |
NCT05324488 -
Diabetes Registry Graz for Biomarker Research
|
||
Completed |
NCT02984709 -
Check It! 2.0: Positive Psychology Intervention for Adolescents With Type 1 Diabetes
|
N/A | |
Completed |
NCT02984514 -
Brown Adipose Tissue in Type 1 Diabetes
|
N/A | |
Recruiting |
NCT06372392 -
Universal Fixed Meal Boluses Usage in Patients With Medtronic Minimed 780G Pumps
|
N/A | |
Recruiting |
NCT05973799 -
Effect of Fasting on Hypoglycemic Counterregulation in Type 1 Diabetes
|
N/A | |
Recruiting |
NCT03311516 -
New Insulin Therapy by Multiwave Bolus
|
N/A | |
Completed |
NCT03711656 -
Prediction and Prevention of Nocturnal Hypoglycemia in Persons With Type 1 Diabetes Using Machine Learning Techniques
|
N/A |