This study aims to achieve more accurate early classification of diabetes and identification of which patients will rapidly require insulin treatment. The investigators will recruit 1200 participants who have been diagnosed with diabetes in the last year and were aged between 18 and 50 years at the time of diagnosis. The investigators will recruit an additional cohort of 800 participants diagnosed after age 50. The investigators will record clinical features and biomarkers that may help us to determine diabetes type at diagnosis and follow participants for 3 years to assess the development of severe insulin deficiency (measured using C-peptide) and insulin requirement. The investigators will assess utility of clinical features and additional biomarkers in identifying patients with rapid progression to insulin requirement. Findings will be integrated into a freely available clinical prediction models to assist classification of diabetes at diagnosis.
The study is a prospective observational study which will assess the relationship between clinical features and biomarkers at diabetes diagnosis and type of diabetes defined by endogenous insulin secretion at 3 years diabetes duration. The investigators will recruit a prospective cohort of 1200 adults that have been diagnosed with diabetes within the previous 1 year and aged between 18 and 50 at the time of diagnosis. The investigators will also recruit an additional cohort of 800 participants diagnosed with diabetes in the last year aged \>50 at diabetes diagnosis, who will be stratified by insulin treatment (insulin treated n=400). On recruitment into the study, non-fasting (within 1-5 hours of a meal) blood sample will be collected for baseline analysis biomarker assessment (serum C-peptide, routine biochemistry, Islet autoantibodies (GAD, IA2, ZnT8)) and biobanking. Clinical features will be recorded, including weight, height, waist/hip ratio \& blood pressure. Participants will be asked to provide a home post-meal urine sample for Urinary C-Peptide Creatinine Ratio (UCPCR). At 1 year and 2 years post recruitment, participants will be contacted by telephone, email or in person to record concurrent treatment, hypoglycaemia and health service utilisation. Participants will be asked to collect a home post-meal urine sample for Urinary C-Peptide /Creatinine Ratio (UCPCR). HbA1c results will be obtained from participants GP practice or laboratory records. At the end of the study, 3 years post recruitment, a non-fasting blood sample will be collected for serum C-peptide, routine biochemistry and stored for future biomarker analysis. Weight change, blood pressure, concurrent treatment, hypoglycaemia and health service utilisation data will be also be recorded.
Study Type
OBSERVATIONAL
Enrollment
1,815
Anita Hill
Exeter, Devon, United Kingdom
Diabetes type defined by insulin requirement at 3 years
Type 1 diabetes = Progression to insulin treatment and severe insulin deficiency (post meal plasma C-peptide \<600pmol/L) at 3 years. Type 2 diabetes = Lack of requirement for insulin at 3 years (HbA1c \<90mmol/mol without insulin treatment or post meal C-peptide ≥ 600pmol/L if insulin treated).
Time frame: 3 years
Stimulated plasma C-peptide <200pmol/L at 3 years ('absolute insulin deficiency')
C-peptide \<200pmol/L at 3 years = absolute insulin deficiency
Time frame: 3 years
C-peptide rate of change (UCPCR and plasma)
The rate of change of UCPCR and plasma C-peptide
Time frame: 3 years
Weight change (baseline to 3 years)
Assessment of weight change from baseline to 3 year visit
Time frame: 3 years
HbA1c (mean and at 3 years)
Mean HbA1c for all visits and result at 3 years
Time frame: 3 years
Self-reported hypoglycaemia & hypoglycaemic awareness (Modified Clark and Gold)
Results from Hypoglycaemia questionnaire
Time frame: 3 years
Resilience (CD-RISC questionnaires)
Results from analysis of data from CD-RISC questionnaire
Time frame: 3 years
Ketoacidosis (self-reported and confirmed from medical notes)
Self reported Ketoacidosis and confirmation in medical notes
Time frame: 3 years
Wellbeing (SF12 questionnaire)
Results from analysis of data from SF12 questionnaire
Time frame: 3 years
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