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Jockey Club Precision Prevention Programme on Young Onset Diabetes

J

Juliana CN Chan

Status

Enrolling

Conditions

Hypertension
Diabetes
Obesity
Dyslipidemia
Pre Diabetes

Treatments

Diagnostic Test: Joint Asia Diabetes Evaluation (JADE) assessment
Device: Continuous glucose monitoring (CGM) devices and/or weighing scale
Diagnostic Test: Oral glucose tolerance test (OGTT) and cardiovascular-kidney-metabolic (CKM) risk factors
Behavioral: Visit to family doctor with nurse education
Genetic: Risk assessment with biogenetic and clinical test to predict diabetes risk
Behavioral: Education webinars, workshops and health messages
Drug: Medication

Study type

Interventional

Funder types

Other

Identifiers

NCT06693934
CRE-2024.243

Details and patient eligibility

About

This is a community-based implementation program consisting of multiple components delivered by a multidisciplinary team to detect and prevent young onset diabetes with precision and value using biogenetic markers, digital tools, integrated care through public private partnership. Adults aged between 18 and 44 (inclusive) without known diabetes and with at least one risk factor for diabetes will undergo a saliva DNA and capillary blood test and complete a questionnaire. Depending on their risk levels, participants will be stratified to high risk and low risk progressors to diabetes. The high risk progressors will undergo annual oral glucose tolerance test to detect diabetes and impaired glucose tolerance (IGT). All participants will receive a personalized report indicating their genetic and modifiable risk explained by nurses or doctors. All participants will be offered regular access to webinars for education and empowerment for 2 years. The high risk group will additionally receive a 2-year risk-stratified intervention with different combinations of care interventions. These include clinical and laboratory assessment for comprehensive evaluation of cardiovascular-kidney-metabolic risks, medical and nurse consultations, empowerment by health messages, webinars, face-to-face workshops, subsidies for medications and self-monitoring tools (e.g. CGM devices, weighing scale) to motivate behavioural change. The outcomes will be analysed within the REAIM framework (reach, effectiveness, adoption, implementation and maintenance), progresssion to prediabetes or diabetes, patient reported outcomes and cost effectiveness.

Full description

BACKGROUND AND RATIONALE:

In Hong Kong, 1 in 10 adults have diabetes. In hospital-based clinic setting, 1 in 5 adults with diabetes were diagnosed before the age of 40, i.e. young-onset diabetes (YOD). The latter is the major driver of recurrent hospitalizations, critical illnesses and premature death. Compared to fasting plasma glucose (FPG) or HbA1c, 2-hour PG is needed to detect impaired glucose tolerance (IGT) and diabetes (DM). Besides, 2-h PG is more robust than FPG or HbA1c in predicting major events and death. The selection of participants with IGT for intervention is based on the positive effects of lifestyle modification and metformin only in individuals with IGT and not in individuals with isolated IFG in randomized clinical trials. Besides, there is strong familial tendency of YOD and based on our published and in-house 20-year prospective data in a workforce, 80% of people who developed DM came from 20-30% of individuals with high genetic risk unmasked by modifiable risk factors such as obesity and smoking.

In this implementation project, investigators shall use a 2-stepped approach to identify adults aged between 18 and 44 (inclusive) with genetic predisposition to undergo yearly OGTT to diagnose IGT and diabetes early for intervention. Investigators shall apply the proprietary DForesee (DF) risk algorithm including clinical and biogenetic risk factors to select the top 25% of participants at the highest risk for IGT or diabetes in next 10 years to undergo yearly OGTT accompanied by a risk-based intervention program.

STUDY DESIGN AND METHODS:

By using quasi-experimental design based on an evidence-based multi-component strategy, investigators aim to detect and delay the onset of diabetes in adults aged less than 45 years. Investigators aim to identify 9,000 adults aged between 18 and 44 years (inclusive) in community- and clinic settings during a 2-year period, followed by 2 years of risk-stratified intervention. Investigators shall use clinical and biogenetic assessment including DNA testing, capillary blood test and administration of questionnaires to classify participants to high risk and low risk progressors. All participants will receive risk-based intervention. Low risk progressors will receive a personalized report indicating their genetic and modifiable risk explained by nurses and with repeated clinical and biogenetic assessment at year 2. The high risk progressors will additionally undergo annual oral glucose tolerance test to detect diabetes and impaired glucose tolerance (IGT) and will receive a personalized report explained by doctors. All participants will be offered regular access to webinars for education and empowerment for 2 years. The high risk group will additionally receive a 2-year risk-stratified intervention with different combinations of care interventions. These include clinical and laboratory assessment for comprehensive evaluation of cardiovascular-kidney-metabolic risks, medical and nurse consultations, empowerment by health messages, webinars, face-to-face workshops, subsidies for medications and self-monitoring tools (e.g. CGM devices for IGT and DM groups only, weighing scale for all high risk progressors) to motivate behavioural change.

INCLUSION and EXCLUSION CRITERIA Age 18-44 (inclusive) years without known diabetes, at least one risk factor for diabetes and with usual place of residence in Hong Kong, The risk factors for diabetes include central or general obesity, family history of diabetes, smoking history, history of hypertension, high blood glucose level, abnormal lipid level/ vascular disease, or fatty liver, history of gestational diabetes polycystic ovary syndrome or delivery of baby≥ 4kg (for women only), less than 150mins of physical activity every week.

People with known diabetes or conditions considered to be unsuitable by the project team including illiteracy will be excluded.

OUTCOME MEASURES The outcomes will be analysed within the REAIM framework (reach, effectiveness, adoption, implementation and maintenance), progresssion to prediabetes or diabetes, patient reported outcomes and cost effectiveness.

Enrollment

9,000 estimated patients

Sex

All

Ages

18 to 44 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Aged between 18 and 44 years old
  • With at least one risk factor for diabetes

Exclusion criteria

  • Known history of Diabetes
  • With conditions considered not suitable by the project team (including illiteracy)

The risk factors for diabetes include central or general obesity, family history of diabetes, smoking history, history of hypertension/ high blood glucose level/ abnormal lipid level/ vascular disease/ fatty liver, history of gestational diabetes/ polycystic ovary syndrome/ delivery of baby≥ 4kg (for women only), and less than 150mins of physical activity every week.

Trial design

Primary purpose

Prevention

Allocation

Non-Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

9,000 participants in 4 patient groups

Low risk
Other group
Description:
Low risk progressors are those who are in the bottom 75% of the risk score based on both clinical and biogenetic risk markers
Treatment:
Behavioral: Education webinars, workshops and health messages
Genetic: Risk assessment with biogenetic and clinical test to predict diabetes risk
High risk progressors
Other group
Description:
High risk progressors are those who are in the top 25% of the risk score based on both clinical and biogenetic risk markers. They will undergo yearly OGTT to detect undiagnosed diabetes or impaired glucose tolerance (IGT) for early intervention. They will also receive low intensity team-based care with regular empowerment using webinars and whatsapp messages for 2 years.
Treatment:
Drug: Medication
Behavioral: Education webinars, workshops and health messages
Genetic: Risk assessment with biogenetic and clinical test to predict diabetes risk
Behavioral: Visit to family doctor with nurse education
Device: Continuous glucose monitoring (CGM) devices and/or weighing scale
Diagnostic Test: Oral glucose tolerance test (OGTT) and cardiovascular-kidney-metabolic (CKM) risk factors
Impaired glucose tolerance (IGT)
Other group
Description:
Subjects with IGT will receive team-based care including lifestyle modification and early use of metformin, subsidized weighing scale and CGM, supplemented by WhatsApp messages and webinars for empowerment for 2 years
Treatment:
Drug: Medication
Behavioral: Education webinars, workshops and health messages
Genetic: Risk assessment with biogenetic and clinical test to predict diabetes risk
Behavioral: Visit to family doctor with nurse education
Device: Continuous glucose monitoring (CGM) devices and/or weighing scale
Diagnostic Test: Oral glucose tolerance test (OGTT) and cardiovascular-kidney-metabolic (CKM) risk factors
Diabetes
Other group
Description:
Subjects with newly diagnosed diabetes will receive team-based care with structured assessment, JADE personalized report, testing for autoimmune markers, , subsidized CGM, weighing scale and medications with regular WhatsApp messages and webinars for empowerment for 2 years
Treatment:
Drug: Medication
Behavioral: Education webinars, workshops and health messages
Genetic: Risk assessment with biogenetic and clinical test to predict diabetes risk
Behavioral: Visit to family doctor with nurse education
Diagnostic Test: Joint Asia Diabetes Evaluation (JADE) assessment
Device: Continuous glucose monitoring (CGM) devices and/or weighing scale
Diagnostic Test: Oral glucose tolerance test (OGTT) and cardiovascular-kidney-metabolic (CKM) risk factors

Trial contacts and locations

1

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Central trial contact

Juliana CN Chan; Amy Fu

Data sourced from clinicaltrials.gov

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