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Early and late C‐peptide responses during oral glucose tolerance testing are oppositely predictive of type 1 diabetes in autoantibody‐positive individuals
- Source :
- Diabetes Obes Metab
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- We examined whether the timing of the C-peptide response during an oral glucose tolerance test (OGTT) in relatives of patients with type 1 diabetes (T1D) is predictive of disease onset. We examined baseline 2-h OGTTs from 670 relatives participating in the Diabetes Prevention Trial-Type 1 (age: 13.8 ± 9.6 years; body mass index z score: 0.3 ± 1.1; 56% male) using univariate regression models. T1D risk increased with lower early C-peptide responses (30–0 min) (χ(2) = 28.8, P < 0.001), and higher late C-peptide responses (120–60 min) (χ(2) = 23.3, P < 0.001). When both responses were included in a proportional hazards model, they remained independently and oppositely associated with T1D, with a stronger overall association for the combined model than either response alone (χ(2) = 41.1; P < 0.001). Using receiver operating characteristic curve analysis, the combined early and late C-peptide response was more accurately predictive of T1D than area under the curve C-peptide (P = 0.005). Our findings demonstrate that lower early and higher late C-peptide responses serve as indicators of increased T1D risk.
- Subjects :
- Adult
Blood Glucose
Male
medicine.medical_specialty
Adolescent
Endocrinology, Diabetes and Metabolism
030209 endocrinology & metabolism
030204 cardiovascular system & hematology
Gastroenterology
Article
Young Adult
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
Endocrinology
Internal medicine
Diabetes mellitus
Internal Medicine
medicine
Humans
Child
Autoantibodies
Type 1 diabetes
C-Peptide
Receiver operating characteristic
C-peptide
business.industry
Proportional hazards model
Area under the curve
Autoantibody
Glucose Tolerance Test
medicine.disease
Diabetes Mellitus, Type 1
ROC Curve
chemistry
Child, Preschool
Female
business
Body mass index
Subjects
Details
- ISSN :
- 14631326 and 14628902
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Diabetes, Obesity and Metabolism
- Accession number :
- edsair.doi.dedup.....529c46fc1df90b3a16468c684abfb6aa