Related Experiment Video
Updated: May 27, 2025
06:46
A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
Published on: July 5, 2022
2.7K
A type 1 diabetes prediction model has utility across multiple screening settings with recalibration
Erin L Templeman1, Lauric A Ferrat1,2, Hemang M Parikh3
1Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.
Research Square
|February 20, 2025
Summary
Accurate type 1 diabetes prediction is crucial for early intervention. A refined model using genetic risk, age, autoantibodies, and family history shows promise, with a web tool for individualized risk assessment.
Area of Science:
- Endocrinology
- Genetics
- Epidemiology
Background:
- Accurate prediction of type 1 diabetes (T1D) is vital for early intervention and preventing severe complications like diabetic ketoacidosis.
- Assessing the generalizability of a T1D prediction model developed in children followed from birth is important.
- Developing an accessible tool for individualized T1D risk calculation and visualization is a key objective.
Purpose of the Study:
- To assess the generalizability of a T1D prediction model across different cohorts.
- To refine and validate a T1D prediction model incorporating genetic, clinical, and familial factors.
- To create a user-friendly application for visualizing individual T1D risk.
Main Methods:
- A stratified prediction model was developed using data from The Environmental Determinants of Diabetes in the Young (TEDDY) study, incorporating genetic risk score, age, islet autoantibodies, and family history.
- External validation was performed using data from the Type 1 Diabetes TrialNet Pathway to Prevention study.
- Logistic recalibration was applied to improve model calibration in the TrialNet cohort, adjusting for baseline risk and selection criteria.
Main Results:
- The study included 7,798 participants from TEDDY and 4,068 from TrialNet, with T1D incidence rates of 4% and 34%, respectively.
- The combined prediction model demonstrated similar discriminative ability in autoantibody-positive individuals across both cohorts (p=0.14).
- Recalibration significantly improved model calibration in the TrialNet cohort (Brier score 0.16 [0.14,0.17]; p<0.001), and a web calculator was developed.
Conclusions:
- A stratified model combining genetic risk, family history, age, and autoantibody status accurately predicts T1D risk.
- The model's performance may require recalibration depending on the specific screening strategy employed.
- An online tool is available for visualizing individualized T1D risk predictions.
More Related Videos
06:50A High-Throughput Electrochemiluminescence 7-Plex Assay Simultaneously Screening for Type 1 Diabetes and Multiple Autoimmune Diseases
Published on: May 29, 2020
2.4K
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
7.4K
Related Concept Videos
01:15Receiver Operating Characteristic Plot
72
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
72
01:13Sensitivity, Specificity, and Predicted Value
165
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Sensitivity is the...
165
01:22Diabetes Mellitus: Type 2 and Gestational
2.1K
Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
2.1K
01:22Diabetes Mellitus: Overview and Type I Subtype
2.4K
Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
2.4K
01:15Diabetes: Symptoms, Diagnosis, and Complications
498
For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
498
01:15Diabetes: Management and Pharmacotherapy
229
The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
229