Dataset Information

CGM Metrics Identify Dysglycemic States in Participants From the TrialNet Pathway to Prevention Study.

ABSTRACT:

Objective

Continuous glucose monitoring (CGM) parameters may identify individuals at risk for progression to overt type 1 diabetes. We aimed to determine whether CGM metrics provide additional insights into progression to clinical stage 3 type 1 diabetes.

Research design and methods

One hundred five relatives of individuals in type 1 diabetes probands (median age 16.8 years; 89% non-Hispanic White; 43.8% female) from the TrialNet Pathway to Prevention study underwent 7-day CGM assessments and oral glucose tolerance tests (OGTTs) at 6-month intervals. The baseline data are reported here. Three groups were evaluated: individuals with 1) stage 2 type 1 diabetes (n = 42) with two or more diabetes-related autoantibodies and abnormal OGTT; 2) stage 1 type 1 diabetes (n = 53) with two or more diabetes-related autoantibodies and normal OGTT; and 3) negative test for all diabetes-related autoantibodies and normal OGTT (n = 10).

Results

Multiple CGM metrics were associated with progression to stage 3 type 1 diabetes. Specifically, spending ≥5% time with glucose levels ≥140 mg/dL (P = 0.01), ≥8% time with glucose levels ≥140 mg/dL (P = 0.02), ≥5% time with glucose levels ≥160 mg/dL (P = 0.0001), and ≥8% time with glucose levels ≥160 mg/dL (P = 0.02) were all associated with progression to stage 3 disease. Stage 2 participants and those who progressed to stage 3 also exhibited higher mean daytime glucose values; spent more time with glucose values over 120, 140, and 160 mg/dL; and had greater variability.

Conclusions

CGM could aid in the identification of individuals, including those with a normal OGTT, who are likely to rapidly progress to stage 3 type 1 diabetes.

SUBMITTER: Wilson DM

PROVIDER: S-EPMC10020029 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

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Publications

CGM Metrics Identify Dysglycemic States in Participants From the TrialNet Pathway to Prevention Study.

Wilson Darrell M DM Pietropaolo Susan L SL Acevedo-Calado Maria M Huang Shuai S Anyaiwe Destiny D Scheinker David D Steck Andrea K AK Vasudevan Madhuri M MM McKay Siripoom V SV Sherr Jennifer L JL Herold Kevan C KC Dunne Jessica L JL Greenbaum Carla J CJ Lord Sandra M SM Haller Michael J MJ Schatz Desmond A DA Atkinson Mark A MA Nelson Patrick W PW Pietropaolo Massimo M

Diabetes care 20230301 3

<h4>Objective</h4>Continuous glucose monitoring (CGM) parameters may identify individuals at risk for progression to overt type 1 diabetes. We aimed to determine whether CGM metrics provide additional insights into progression to clinical stage 3 type 1 diabetes.<h4>Research design and methods</h4>One hundred five relatives of individuals in type 1 diabetes probands (median age 16.8 years; 89% non-Hispanic White; 43.8% female) from the TrialNet Pathway to Prevention study underwent 7-day CGM ass ...[more]

PMID: 36730530

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Project description:Aims/hypothesisMethods to identify individuals at highest risk for type 1 diabetes are essential for the successful implementation of disease-modifying interventions. Simple metabolic measures are needed to help stratify autoantibody-positive (Aab+) individuals who are at risk of developing type 1 diabetes. HOMA2-B is a validated mathematical tool commonly used to estimate beta cell function in type 2 diabetes using fasting glucose and insulin. The utility of HOMA2-B in association with type 1 diabetes progression has not been tested.MethodsBaseline HOMA2-B values from single-Aab+ (n = 2652; mean age, 21.1 ± 14.0 years) and multiple-Aab+ (n = 3794; mean age, 14.5 ± 11.2 years) individuals enrolled in the TrialNet Pathway to Prevention study were compared. Cox proportional hazard models were used to determine associations between HOMA2-B tertiles and time to progression to type 1 diabetes, with adjustments for age, sex, HLA status and BMI z score. Receiver operating characteristic (ROC) analysis was used to test the association of HOMA2-B with type 1 diabetes development in 1, 2, 5 and 10 years.ResultsAt study entry, HOMA2-B values were higher in single- compared with multiple-Aab+ Pathway to Prevention participants (91.1 ± 44.5 vs 83.9 ± 38.9; p < 0.001). Single- and multiple-Aab+ individuals in the lowest HOMA2-B tertile had a higher risk and faster rate of progression to type 1 diabetes. For progression to type 1 diabetes within 1 year, area under the ROC curve (AUC-ROC) was 0.685, 0.666 and 0.680 for all Aab+, single-Aab+ and multiple-Aab+ individuals, respectively. When correlation between HOMA2-B and type 1 diabetes risk was assessed in combination with additional factors known to influence type 1 diabetes progression (insulin sensitivity, age and HLA status), AUC-ROC was highest for the single-Aab+ group's risk of progression at 2 years (AUC-ROC 0.723 [95% CI 0.652, 0.794]).Conclusions/interpretationThese data suggest that HOMA2-B may have utility as a single-time-point measurement to stratify risk of type 1 diabetes development in Aab+ individuals.

Project description:IntroductionGlycated haemoglobin (HbA1c) is currently the gold standard for assessing glycaemic control in diabetes, given the established relationship with microvascular and macrovascular complications in this condition. However, HbA1c is affected by non-glycaemic factors, while also failing to provide data on hypoglycaemic exposure and glucose variability, which are associated with adverse vascular outcomes. Continuous glucose monitoring (CGM)-derived glucose metrics provide a more comprehensive assessment of glycaemia, but their role in predicting future vascular complications remains unclear. Here, we present the protocol for a real-world cohort study, aiming to establish the relationship between CGM-derived glycaemic metrics and the incidence of macrovascular and/or microvascular complications in people with diabetes.Methods and analysisThis cohort study will use data from all CGM new users (FreeStyle Libre system) in France who uploaded their glycaemic values onto the LibreView cloud-based system, linked with data from the French nationwide Système National des Données de Santé claims database. The study is expected to include a minimum of 70 000 individuals with diabetes with a first date of glucose data upload to the LibreView platform after 1 January 2018 and with a 6-year follow-up period. The primary outcomes are the first occurrence of new macrovascular or microvascular complications, analysed as a composite outcome and separately. Secondary outcomes will include all-cause mortality and hospital admissions for any cause. This longitudinal study will provide key data on the relationship between CGM-derived glycaemic metrics and micro/macrovascular complications in diabetes. This will have an impact on routine clinical practice by setting targets for the different glycaemic markers, based on robust outcome data, thus helping to optimise glucose management in diabetes.Ethics and disseminationThe study data-collection protocol is approved by the French National Commission for Informatics and Liberties, including approval from the Comité Ethique et Scientifique pour les Recherches, les Etudes et les Evaluations dans le domaine de la Santé. This study complies with French and European regulations, including those relating to the General Data Protection Regulation. This study uses pseudonymous information, not requiring informed consent. Dissemination plans include full publication of the study outcomes in peer-reviewed journal(s) with open access and presentations at national and international diabetes and cardiovascular conferences.

Dataset Information

CGM Metrics Identify Dysglycemic States in Participants From the TrialNet Pathway to Prevention Study.

Objective

Research design and methods

Results

Conclusions

Publications

CGM Metrics Identify Dysglycemic States in Participants From the TrialNet Pathway to Prevention Study.

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