Predictors of c-peptide in Type 1 diabetes within the first 60 days of diagnosis: Routine laboratory data from the After Diabetes Diagnosis Research Support System (ADDRESS-2) cohort
Author(s)
Type
Conference Paper
Abstract
Aims: To describe the factors predicting c‐peptide within 60 days of diagnosis, in a multi‐ethnic, incident Type 1 diabetes cohort.
Methods: ADDRESS‐2 recruits patients with clinician‐assigned Type 1 diabetes within six months of diagnosis. Clinical, demographic and routine laboratory data are collected. Islet autoantibodies: glutamic acid decarboxylase (GADA), insulinoma‐associated protein 2 (IA‐2A) and zinc transporter‐8 (ZnT8A) are measured in those opting to give a blood sample (52%). We analysed data collected between 01 September 2011 and 30 June 2017.
Results: Of the 4,606 participants recruited, 341 (7.4%) had a random c‐peptide measured in clinic within the first 60 days of diagnosis (80% within the first week of diagnosis). The median c‐peptide was 0.23nmol/l (IQR 0.14–0.38nmol/l). C‐peptide was more likely to be lower if participants: were children (0.19 vs 0.26nmol/l, p = 0.01); presented with diabetic ketoacidosis (DKA) (0.19 vs 0.25nmol/l, p < 0.001); and autoantibody positive (0.23 vs 0.32nmol/l, p = 0.004). There were no significant differences in c‐peptide with gender, ethnicity (White vs non‐White), body mass index (BMI) or time from diagnosis to date of c‐peptide measurement. On multiple linear regression of all significant variables (n = 179), autoantibody positivity (coeff. –0.014, p = 0.005) and presenting with DKA (coeff. −0.13, p = 0.002) were strong independent predictors of lower c‐peptide. When excluding antibody status from the regression model (n = 333), presenting with DKA (coeff. −0.16, p = 0.02) remained the only significant independent predictor of lower c‐peptide.
Conclusion: Patients with Type 1 diabetes have lower c‐peptide close to diagnosis if they present with DKA and they are autoantibody positive, irrespective of age.
Acknowledgement: On behalf of the ADDRESS‐2 Management Committee, Patient Advocate Group and Investigators
Methods: ADDRESS‐2 recruits patients with clinician‐assigned Type 1 diabetes within six months of diagnosis. Clinical, demographic and routine laboratory data are collected. Islet autoantibodies: glutamic acid decarboxylase (GADA), insulinoma‐associated protein 2 (IA‐2A) and zinc transporter‐8 (ZnT8A) are measured in those opting to give a blood sample (52%). We analysed data collected between 01 September 2011 and 30 June 2017.
Results: Of the 4,606 participants recruited, 341 (7.4%) had a random c‐peptide measured in clinic within the first 60 days of diagnosis (80% within the first week of diagnosis). The median c‐peptide was 0.23nmol/l (IQR 0.14–0.38nmol/l). C‐peptide was more likely to be lower if participants: were children (0.19 vs 0.26nmol/l, p = 0.01); presented with diabetic ketoacidosis (DKA) (0.19 vs 0.25nmol/l, p < 0.001); and autoantibody positive (0.23 vs 0.32nmol/l, p = 0.004). There were no significant differences in c‐peptide with gender, ethnicity (White vs non‐White), body mass index (BMI) or time from diagnosis to date of c‐peptide measurement. On multiple linear regression of all significant variables (n = 179), autoantibody positivity (coeff. –0.014, p = 0.005) and presenting with DKA (coeff. −0.13, p = 0.002) were strong independent predictors of lower c‐peptide. When excluding antibody status from the regression model (n = 333), presenting with DKA (coeff. −0.16, p = 0.02) remained the only significant independent predictor of lower c‐peptide.
Conclusion: Patients with Type 1 diabetes have lower c‐peptide close to diagnosis if they present with DKA and they are autoantibody positive, irrespective of age.
Acknowledgement: On behalf of the ADDRESS‐2 Management Committee, Patient Advocate Group and Investigators
Date Issued
2019-03-01
Date Acceptance
2019-03-01
Citation
DIABETIC MEDICINE, 2019, 36, pp.67-67
ISSN
0742-3071
Publisher
WILEY
Start Page
67
End Page
67
Journal / Book Title
DIABETIC MEDICINE
Volume
36
Copyright Statement
© 2019 The Authors, presented at the Diabetes UK Professional Conference © 2019 Diabetes UK. This is the accepted version of the following article: https://doi.org/10.1111/dme.16_13883
Sponsor
Department of Health
Diabetes UK
Juvenile Diabetes Research Foundation International
Juvenile Diabetes Research Foundation Ltd (JDRF)
Diabetes UK
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000460421300161&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
None Given
09/0003919/PO-10138
9-2010-407
3-SRA-2015-36-A-N
19/0006119
Source
The Diabetes UK Professional Conference 2019
Subjects
Science & Technology
Life Sciences & Biomedicine
Endocrinology & Metabolism
Publication Status
Published
Start Date
2019-03-06
Coverage Spatial
Liverpool, UK
Date Publish Online
2019-03-05