Information, Follow-up and Early Diagnosis of Children at Risk for Type 1 Diabetes

NCT06676566 | Enrolling By Invitation

• 1 other identifier: iT1D/2024
• Study Type: observational
• Target: 600
• Locations: 1 country
• Sites: 1

Brief Summary

The aim is to investigate whether screening for islet autoantibodies, regular follow-up, and increased knowledge in families about the progression of the disease in children at high genetic risk or with single or multiple islet autoantibodies (stage 1 or 2 type 1 diabetes) ensures an earlier diagnosis of stage 3 type 1 diabetes compared to no screening or follow-up. Risk factors studied in relation to disease progression are the impact of higher-than-average weight gain, insulin resistance, and physical activity, both individually and in combination, on the risk of developing autoantibodies and disease progression. An alternative diagnostic method, continuous glucose monitoring (CGM), will be evaluated for its for usefullness in early diagnosis of stage 2 and 3 type 1 diabetes as alternatives to oral glucose tolerance tests. Another aim is to investigate the psychological impact of being aware that the children are at a higher risk of type 1 diabetes. When a child in the study develops stage 3 type 1 diabetes, the psychological impact and metabolic control during the first five years after diagnosis will be compared to children not followed before the diagnosis.

Conditions

Type 1 Diabetes Mellitus; Stage 2 Type 1 Diabetes; Stage 1 Type 1 Diabetes; Stage 3 Type 1 Diabetes

Keywords

type 1 diabetes; genetic risk; islet autoantibodies; staging of type 1 diabetes; islet autoimmunity; children; follow-up; autoantibody screening

Outcome Measures

Primary Outcomes (8)

• Early diabetes diagnosis, measured as HbA1c, symptoms, incidence of DKA

  Investigate if screening for islet autoantibodies, regular follow-up and increased knowledge in the families regarding progression of the disease in children at high genetic risk or with single or multiple islet autoantibodies (stage 1 or 2 type 1 diabetes) ensures an early diagnosis of stage 3 type 1 diabetes, measured by HbA1c and symptoms, and prevents DKA as compared to no screening or follow-up. The hypothesis is that screening and follow-up ensures an early diagnosis with no/few symptoms and prevents DKA.

  From enrollment to a maximum of 10 years follow-up

• Growth in relation to development of 1 islet autoantibody and progression to multiple islet autoantibodies and clinical type 1 diabetes

  Investigate the impact of higher-than-average weight gain (SDS body weight in kg) on the risk of developing islet autoantibodies, progressing from one to several autoantibodies (stage 1 or 2 type 1 diabetes) and to progression to clinical type 1 diabetes (stage 3 type 1 diabetes). The hypothesis is that higher than average weight gain increase the risk of islet autoimmunity.

  From enrollement to a maximum of 10 years follow up.

• Insulin resistance in relation to development of islet autoantibodies, progression to multiple islet autoantibodies and clinical type 1 diabetes

  Investigate the impact insulin resistance, measured as HOMA-IR on the risk of developing islet autoantibodies, progression from a single islet autoantibody to multiple islet autoantibodies (stage 1 or 2 type 1 diabetes) and to stage 3 clinical type 1 diabetes. The hypothesis is that higher insulin resistance, measured as HOMA-IR, increase the risk of developing islet autoantibodies and the rate of progression to multiple islet autoantibodies and stage 3 type 1 diabetes.

  From enrollment to a maximum of 10 years follow-up

• Physical activity in relation to development of islet autoantibodies, progression to multiple islet autoantibodies and clinical type 1 diabetes

  Investigate the impact of physical activity, measured by summary statistics from an accelerometer worn during 1 week/year on the risk of developing islet autoantibodies and progress to multiple islet autoantibodies and clinical type 1 diabetes. The hypothesis is that increased time and intensity of physical activity decreases the risk of islet autoimmunity and the rate of progression to multiple islet autoantibodies and type 1 diabetes.

  From enrollement to a maximum of 10 years follow up.

• Measurements derived from continous glucose monitoring (CGM) compared to blood glucose testing during OGTT in diagnosing early stages of type 1 diabetes

  Investigate different methods of an early diagnosis of stage 2 and 3 type 1 diabetes as alternative options for oral glucose tolerance tests. Measurements derived from continuous glucose monitoring (CGM), such as mean glucose, standard deviation, interquartile range, coefficient of variation, Time in Range (TIR), Time Below Range (TBR), Low Blood Glucose Index (LBGI), Mean Amplitude of Glycemic Excursions (MAGE) will be used. The hypothesis is that CGM data can be interpreted and summarized using one or more summary statistics for which specific cut-off values could be defined and validated, which could be used in the clinic replacing the need for performing OGTT.

  From enrollment to a maximum of 10 years follow-up

• Psychological impact of screening and follow up, measured by validated questionnaires

  Investigate the psychological impact of being aware that the child is at a higher risk of type 1 diabetes, as measured by anxiety levels, study satisfaction, compliance with screening and follow-up, with respect to having first degree relatives with type 1 diabetes, demographic and socioeconomic factors. The hypothesis is that factors associated with anxiety can be identified, and that anxiety and satisfaction can be improved by providing parents with adequate information, especially in parents more prone to developing anxiety

  From enrollment to a maximum of 10 years follow-up

• Psychological impact of screening after diagnosis measured by validated questionnaires

  Investigate the psychological impact during the first 5 years after a diagnosis of stage 3 type 1 diabetes in children previously followed in the study compared to children not followed before the diagnosis. The hypothesis is that screening and follow-up and an early diagnosis of type 1 diabetes improves coping in the families.

  From T1D diagnosis until the last visit, maximum 5 years after diagnosis.

• Metabolic control after clinical diagnosis

  Investigate the metabolic control (measured by HbA1c (mmol/mol), fasting and stimulated C-peptide and data derived from CGM (mean glucose, SD)) during the first 5 years after a diagnosis of stage 3 type 1 diabetes in children previously followed in the study compared to children not followed before the diagnosis. The hypothesis is that screening and follow-up and an early diagnosis of type 1 diabetes improves metabolic control during at least the first 5 years after diagnosis. For the metabolic control, the national diabetes registry data will be used as a reference group.

  From T1D diagnosis until the last visit, maximum 5 years after diagnosis.

Study Arms (4)

Genetic risk without islet autoantibodies

This group has more than 10% risk of early onset of islet autoimmunity and can come to visits at 2, 6 and 10 years of age. At the visits blood samples are drawn and disease risk information and information about symptoms is given. The child will wear an accelerometer for one week after each visit.

Genetic risk with 1 islet autoantibody

This group will be followed annually up to diabetes diagnosis or to 18 years of age. At the visits blood samples are drawn and disease risk information and information about symptoms is given. The child will wear an accelerometer for one week after each visit.

Genetic risk with multiple islet autoantibodies

This group will come to visits every three months up to diagnosis or 18 years of age. At the visits blood samples are drawn and disease risk information and information about symptoms is given. An OGTT will be performed at some of the visits. The child will wear an accelerometer and a CGM for one week after each visit.

Children with stage 3 type 1 diabetes who have taken part in the study before diagnosis

Annual visits at the study center will continue for the first 5 years after diagnosis.

Eligibility Criteria

• Age: 0 Years - 18 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

Children who have been screened for genetic risk for type 1 diabetes at birth in the ASTR1D study and other children who have been screened for either genetic risk or islet autoantibodies in other studies.

You may qualify if:

• Children 0 -10 years with high or moderate genetic risk of type 1 diabetes, measured by a combined analysis of HLA and non-HLA SNPs. Moderate genetic risk is defined as 8-10% risk of developing multiple islet autoantibodies before 6 years of age, and high genetic risk as over 10% risk of developing multiple islet autoantibodies before 6 years of age.
• Children 0-18 years of age screened in other research studies or tested at a clinical site and found to have a single autoantibody (before stage 1 type 1 diabetes) or multiple islet autoantibodies without or with impaired glucose tolerance (stage 1 or 2 type 1 diabetes, respectively).
• Children will be invited to participate in the current study if they have moderate or high genetic risk and 1) have participated in a prevention trial but have dropped out or the trial has ended 2) are not willing to participate in prevention trial.
• Children screened and found to be positive for islet autoantibodies in other studies (TEDDY, TrialNet, Innodia etc) or in clinical settings but which have not progressed to stage 3 type 1 diabetes can also be invited to participate in the current study.

You may not qualify if:

• Stage 3 type 1 diabetes
• Currently participating in a prevention study

Sponsors & Collaborators

• Lund University: lead

Study Sites (1)

CRC Jan Waldenströms gata 35

Malmo, 21428, Sweden

Location

Biospecimen

Retention: SAMPLES WITH DNA

Blood samples

MeSH Terms

Conditions

Diabetes Mellitus, Type 1

Condition Hierarchy (Ancestors)

Diabetes Mellitus; Glucose Metabolism Disorders; Metabolic Diseases; Nutritional and Metabolic Diseases; Endocrine System Diseases; Autoimmune Diseases; Immune System Diseases

Study Officials

• Helena Elding Larsson, MD, PhD, Prof.

  Lund University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: October 28, 2024
• First Posted: November 6, 2024
• Study Start: October 14, 2024
• Primary Completion (Estimated): October 1, 2034
• Study Completion (Estimated): October 1, 2034
• Last Updated: November 6, 2024

Record last verified: 2024-11

Data Sharing

• IPD Sharing: Will share

Locations

SE (1)