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| Name | Class |
|---|---|
| University of Bristol | OTHER |
| Yale University | OTHER |
| Oxford University Hospitals NHS Trust | OTHER |
| Nottingham University Hospitals NHS Trust |
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Type 1 diabetes (T1D) is a chronic condition, affecting 1 in 490 children under the age of 15 years. It is caused by the immune system damaging the pancreas, the organ which makes insulin. T1D has recognised stages before symptoms develop, providing an opportunity for early diagnosis, education and treatment which may delay the onset of symptoms.
Type 2 diabetes (T2D) is also a chronic condition where the body cannot make enough insulin, or cannot respond to the insulin properly. It is usually related to obesity, rather than an immune problem. It is more common in adults, but the early stages often start in childhood (up to 1 in 4 children in some clinics). Like T1D, early detection can delay onset of T2D, or even prevent it altogether.
Early diagnosis of T1D or T2D often relies on a test called the oral glucose tolerance test (OGTT), which is commonly used but not well tolerated, possibly because it requires a drip inserted into the vein, and several blood samples taken over 2-3 hours in a healthcare setting.
Our study aims to test whether we can do an OGTT using a finger-prick to test glucose, at home. We call this the 'GTT@home'. The finger-prick creates a drop of blood, which is done before and two hours after drinking a sugary drink. We will also explore whether a continuous glucose monitor (CGM), which reads glucose levels through the skin could be an alternative. We plan to recruit 90 children and young people, across two groups to assess the GTT@home.
To understand the experiences of those involved in monitoring, we will invite young people, parents and healthcare workers to take part in an interview, to understand the impact of testing to predict clinical T1D.
Group 1 will assess the accuracy of measuring glucose from a finger-prick blood test when compared to a blood test from the vein. We will recruit individuals who are having an OGTT as part of a research study, for clinical care or if they have agreed to have an OGTT for this study. Those with T1D will be invited to wear a CGM to explore its use as an additional, practical alternative.
Groups 2 and 3 will assess how well the GTT@home test works when done at home and how acceptable it is. This will only be offered to those known to be at risk of T1D.
These studies will help us to understand if the GTT@home can be used in routine care.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cohort 1 (Simultaneous venous and capillary OGTT) | To assess the ability of the capillary OGTT to be a reliable and acceptable alternative to the standard venous OGTT in children, investigators will aim to capture a spread of glucose values across the whole diagnostic range. This will be undertaken in clinical and research settings, led by either a healthcare professional or research nurse. Children undergoing a standard venous OGTT will be invited to complete a capillary OGTT. Both venous and capillary samples will be collected at the same time. Investigators will also invite children with stage 3 (clinical) T1D to capture glucose levels in the hyperglycaemic range. These participants will receive a smaller glucose dose for their OGTT (1g/kg, max dose 75g), to attenuate their glucose rise and allow the comparison of clinically meaningful glucose values. Participants will be asked to complete a questionnaire following the OGTT to obtain information about acceptability. | ||
| Cohort 2 (Capillary OGTT at home) | In this cohort (running concurrently alongside cohort 1) investigators aim to assess the acceptability and feasibility of a capillary OGTT device in children and young people with early-stage (known stage 1 or 2) T1D. This will take place in the home of participants, with written and video instructions provided. Children known to be positive for ≥ 2 IAb will be invited to take part and will be sent a capillary OGTT test kit which will include a glucose drink, lancets and instructions (written and video). They will fast overnight (from midnight the night before, for a minimum of 8 hours) before completing a 2-hour OGTT using the test kit and instructions provided. Glucose samples will be collected at 0 and 120 minutes. Participants will be asked to complete a questionnaire following completion of the OGTT, to obtain information about acceptability. | ||
| Cohort 1 (CGM sub-study) | In this sub-study investigators aim to explore the ability of CGM to be an alternative to the standard venous OGTT. A subgroup of participants in cohort 1 with known T1D (stage 1, 2 or 3) will be invited to wear a CGM sensor for up to 10 days, which will be worn during their OGTT, at home during a standard mixed meal and free-living. Whilst wearing the CGM at home, participants will be asked to consume a liquid mixed meal (Ensure Plus, 6ml/kg maximum 360ml, preceded by an 8-hour fast) and complete a 3-day food diary, by photographing the largest meal of the day to allow estimation of carbohydrate intake (not the same day as the OGTT or liquid mixed meal). Participants will then be asked to complete a questionnaire to obtain information about acceptability. |
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| Measure | Description | Time Frame |
|---|---|---|
| To determine the agreement of capillary blood glucose levels to venous blood glucose levels during a standard OGTT | Agreement between capillary and blood glucose measures. | From enrolment to end of study visit on day 1. |
| To assess the feasibility of using the capillary OGTT device in the home environment |
| From enrolment to end of study visit on day 1 |
| Measure | Description | Time Frame |
|---|---|---|
| To determine the diagnostic accuracy of capillary blood glucose levels at diagnostic thresholds | Sensitivity and specificity of capillary glucose at 5.6mmol/L, 7.0mmol/L (fasting), 11.1 mmol/L (60 min), and 7.8mmol/L and 11.1mmol/L (120 min). | From enrolment to end of study visit on day 1. |
| Assess the acceptability of the capillary OGTT device |
| Measure | Description | Time Frame |
|---|---|---|
| To explore the diagnostic accuracy of CGM to define T1D stages during a standard OGTT | Sensitivity/specificity of sensor glucose levels at diagnostic thresholds. | From enrolment to end of study visit at day 10. |
| To explore CGM values at fasting and 120-minutes and its relation to OGTT measures of glucose, during a) standard liquid mixed meal, and b) free-living |
Inclusion criteria:
Cohort 1
Cohort 2
CGM sub-study
Qualitative sub-study
Cohort 3
Exclusion Criteria:
Cohort 1
Cohort 2
CGM sub-study
Qualitative sub-study
• Non-English speaker
Cohort 3
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Cohort 1 - Children < 18 years of age. To get a spread of glucose values, we will aim to recruit approximately equal numbers of participants with normoglycaemia, dysglycaemia and hyperglycaemia.
Cohort 1 CGM sub-study - Children < 18 years of age, who have T1D stage 1, 2 or 3 and undergoing an OGTT in cohort 1.This sub-study will be additional and optional to cohort 1.
Cohort 2 - Children < 18 years of age, who are identified as having stage 1, 2 or 3 T1D will be invited to take part in an OGTT at home.
Cohort 3 - Children < 18 years of age, who are identified as having pre-T2D.
Qualitative sub-study - Young people ≥ 15 years old with T1D stage 1, 2 or recent stage 3 (up to 12 months), who have been involved in metabolic follow-up, will be invited to take part. Parents of a child (of any age) with T1D stage 1, 2 or recent stage 3 will also be invited. Healthcare professionals involved in delivering metabolic follow-up for children with diabetes antibodies will also be invited.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Rabbi Swaby, BMBS | Contact | +44 1865287578 | rabbi.swaby@well.ox.ac.uk | |
| Claire Scudder | Contact | +44 (0)7765 932065 | capogtt@ndm.ox.ac.uk |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Noah's Ark Childrens Hospital for Wales | Recruiting | Cardiff | CF14 4XW | United Kingdom |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 36730530 | Background | Wilson DM, Pietropaolo SL, Acevedo-Calado M, Huang S, Anyaiwe D, Scheinker D, Steck AK, Vasudevan MM, McKay SV, Sherr JL, Herold KC, Dunne JL, Greenbaum CJ, Lord SM, Haller MJ, Schatz DA, Atkinson MA, Nelson PW, Pietropaolo M; Type 1 Diabetes TrialNet Study Group. CGM Metrics Identify Dysglycemic States in Participants From the TrialNet Pathway to Prevention Study. Diabetes Care. 2023 Mar 1;46(3):526-534. doi: 10.2337/dc22-1297. | |
| 37572381 |
| Label | URL |
|---|---|
| Published protocol | View source |
Not provided
Dates of birth will not be shared, but ages (possibly grouped) will be provided.
IPD and supporting information will be availabile once the primary paper for the study has been published.
Subject to participant consent, data will be shared with other researchers for research projects that have appropriate ethical approval. Requests for access to the data will be controlled by the Data Access Committee.
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| ID | Term |
|---|---|
| D003922 | Diabetes Mellitus, Type 1 |
| D003924 | Diabetes Mellitus, Type 2 |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
Not provided
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| OTHER |
| Cardiff and Vale University Health Board | OTHER_GOV |
| Royal London Hospital, Barts Health NHS Trust | UNKNOWN |
Not provided
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| Qualitative sub-study | To understand the factors that contribute to uptake of monitoring offered to children at risk of type 1 diabetes, investigators will invite a small number of young people (aged 15-18) and parents to take part in a semi-structured interview. Investigators will also invite healthcare professionals involved in delivering metabolic testing as part of follow-up to take part in semi-structured interviews, to understand their views on the factors which may influence future implementation into clinical care. |
| Cohort 3 (Pre-clinical type 2 diabetes) | In this cohort (running concurrently alongside cohort 1) we aim to assess the acceptability and feasibility of a capillary OGTT device in children with pre-clinical T2D at home. This will take place in the home of participants, with written or video instructions provided. For cohort 3, children with raised BMI (≥91st centile) and any marker of insulin resistance: HbA1c 39-47mmol, or known impaired fasting glucose (5.6 - 6.9 mmol/L), or impaired glucose tolerance (7.8 - 11.0 mmol/L), will be invited to take part. They will fast overnight (from midnight the night before, for a minimum of 8 hours) before completing a 2-hour OGTT using the test kit and instructions provided. Participants will be asked to complete a questionnaire following completion of the OGTT, to obtain information about acceptability. |
Acceptability by questionnaire (Parent +/- child), using either a standard 7-point Likert scale (1 - not painful at all, 7 - very painful) for participants aged 16 and above, or Wong Baker Faces pain scale (0 - no hurt, 10 - hurts worst) for participants aged under 16. |
| From enrolment to end of study visit on day 1. |
| To assess the in-depth experience of participants attending study visits involving a metabolic test or assessment | Analysis of qualitative interviews from young people. | From enrolment to end of study visit on day 1 |
| To assess the in-depth experience of parents attending study visits with their child involving a metabolic test or assessment | Analysis of qualitative interviews from parents. | From enrolment to end of study visit on day 1. |
| To assess the in-depth views of healthcare professionals involved in the delivery of a metabolic test or assessment of a child | Analysis of qualitative interviews from healthcare professionals. | From enrolment to end of study visit on day 1. |
Sensor glucose variability (coefficient of variation (%CV)), during home meals, across different T1D stages. |
| From enrolment to end of study visit on day 10. |
| To explore CGM values at fasting and 120-minutes and its relation to OGTT measures of glucose, during a) standard liquid mixed meal, and b) free-living | Sensor glucose variability (mean amplitude of glycaemic excursion (MAGE) mmol/L)), during home meals, across different T1D stages. | From enrolment to end of study visit on day 10. |
| To explore CGM values at fasting and 120-minutes and its relation to OGTT measures of glucose, during a) standard liquid mixed meal, and b) free-living | Sensor glucose variability (low blood glucose index (LBGI)), during home meals, across different T1D stages. | From enrolment to end of study visit on day 10. |
| To explore CGM values at fasting and 120-minutes and its relation to OGTT measures of glucose, during a) standard liquid mixed meal, and b) free-living | Sensor glucose variability (high blood glucose index (HBGI)), during home meals, across different T1D stages. | From enrolment to end of study visit on day 10. |
| To explore CGM values at fasting and 120-minutes and its relation to OGTT measures of glucose, during a) standard liquid mixed meal, and b) free-living | Sensor glucose variability (average daily risk range (ADRR)), during home meals, across different T1D stages. | From enrolment to end of study visit on day 10. |
| Royal London Barts Health NHS Trust | Recruiting | London | E1 1FR | United Kingdom |
|
| Nottingham Childrens Hospital | Recruiting | Nottingham | NG7 2UH | United Kingdom |
|
| John Radcliffe Hospital | Recruiting | Oxford | OX3 9DU | United Kingdom |
|
| Background |
| Ylescupidez A, Speake C, Pietropaolo SL, Wilson DM, Steck AK, Sherr JL, Gaglia JL, Bender C, Lord S, Greenbaum CJ. OGTT Metrics Surpass Continuous Glucose Monitoring Data for T1D Prediction in Multiple-Autoantibody-Positive Individuals. J Clin Endocrinol Metab. 2023 Dec 21;109(1):57-67. doi: 10.1210/clinem/dgad472. |
| 28226181 | Background | Liu Y, Rafkin LE, Matheson D, Henderson C, Boulware D, Besser REJ, Ferrara C, Yu L, Steck AK, Bingley PJ; Type 1 Diabetes TrialNet Study Group. Use of self-collected capillary blood samples for islet autoantibody screening in relatives: a feasibility and acceptability study. Diabet Med. 2017 Jul;34(7):934-937. doi: 10.1111/dme.13338. Epub 2017 Mar 8. |
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| 25519451 | Background | Sosenko JM, Skyler JS, DiMeglio LA, Beam CA, Krischer JP, Greenbaum CJ, Boulware D, Rafkin LE, Matheson D, Herold KC, Mahon J, Palmer JP; Type 1 Diabetes TrialNet Study Group; Diabetes Prevention Trial-Type 1 Study Group. A new approach for diagnosing type 1 diabetes in autoantibody-positive individuals based on prediction and natural history. Diabetes Care. 2015 Feb;38(2):271-6. doi: 10.2337/dc14-1813. Epub 2014 Dec 17. |
| 32844178 | Background | Simmons KM, Sosenko JM, Warnock M, Geyer S, Ismail HM, Elding Larsson H, Steck AK. One-Hour Oral Glucose Tolerance Tests for the Prediction and Diagnostic Surveillance of Type 1 Diabetes. J Clin Endocrinol Metab. 2020 Nov 1;105(11):e4094-101. doi: 10.1210/clinem/dgaa592. |
| 26077017 | Background | Sosenko JM, Skyler JS, Palmer JP; Diabetes Type 1 TrialNet and Diabetes Prevention Trial-Type 1 Study Groups. The development, validation, and utility of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS). Curr Diab Rep. 2015 Aug;15(8):49. doi: 10.1007/s11892-015-0626-1. |
| 24550217 | Background | Sosenko JM, Skyler JS, Mahon J, Krischer JP, Greenbaum CJ, Rafkin LE, Beam CA, Boulware DC, Matheson D, Cuthbertson D, Herold KC, Eisenbarth G, Palmer JP; Type 1 Diabetes TrialNet and Diabetes Prevention Trial-Type 1 Study Groups. Use of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS) for improving the accuracy of the risk classification of type 1 diabetes. Diabetes Care. 2014 Apr;37(4):979-84. doi: 10.2337/dc13-2359. Epub 2014 Feb 18. |
| 34338806 | Background | Bediaga NG, Li-Wai-Suen CSN, Haller MJ, Gitelman SE, Evans-Molina C, Gottlieb PA, Hippich M, Ziegler AG, Lernmark A, DiMeglio LA, Wherrett DK, Colman PG, Harrison LC, Wentworth JM. Simplifying prediction of disease progression in pre-symptomatic type 1 diabetes using a single blood sample. Diabetologia. 2021 Nov;64(11):2432-2444. doi: 10.1007/s00125-021-05523-2. Epub 2021 Aug 2. |
| 36028774 | Background | Weiss A, Zapardiel-Gonzalo J, Voss F, Jolink M, Stock J, Haupt F, Kick K, Welzhofer T, Heublein A, Winkler C, Achenbach P, Ziegler AG, Bonifacio E; Fr1da-study group. Progression likelihood score identifies substages of presymptomatic type 1 diabetes in childhood public health screening. Diabetologia. 2022 Dec;65(12):2121-2131. doi: 10.1007/s00125-022-05780-9. Epub 2022 Aug 27. |
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| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |