Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Dec;65(12):2121-2131.
doi: 10.1007/s00125-022-05780-9. Epub 2022 Aug 27.

Progression likelihood score identifies substages of presymptomatic type 1 diabetes in childhood public health screening

Affiliations

Progression likelihood score identifies substages of presymptomatic type 1 diabetes in childhood public health screening

Andreas Weiss et al. Diabetologia. 2022 Dec.

Erratum in

Abstract

Aims/hypothesis: The aim of this study was to develop strategies that identify children from the general population who have late-stage presymptomatic type 1 diabetes and may, therefore, benefit from immune intervention.

Methods: We tested children from Bavaria, Germany, aged 1.75-10 years, enrolled in the Fr1da public health screening programme for islet autoantibodies (n=154,462). OGTT and HbA1c were assessed in children with multiple islet autoantibodies for diagnosis of presymptomatic stage 1 (normoglycaemia) or stage 2 (dysglycaemia) type 1 diabetes. Cox proportional hazards and penalised logistic regression of autoantibody, genetic, metabolic and demographic information were used to develop a progression likelihood score to identify children with stage 1 type 1 diabetes who progressed to stage 3 (clinical) type 1 diabetes within 2 years.

Results: Of 447 children with multiple islet autoantibodies, 364 (81.4%) were staged. Undiagnosed stage 3 type 1 diabetes, presymptomatic stage 2, and stage 1 type 1 diabetes were detected in 41 (0.027% of screened children), 30 (0.019%) and 293 (0.19%) children, respectively. The 2 year risk for progression to stage 3 type 1 diabetes was 48% (95% CI 34, 58) in children with stage 2 type 1 diabetes (annualised risk, 28%). HbA1c, islet antigen-2 autoantibody positivity and titre, and the 90 min OGTT value were predictors of progression in children with stage 1 type 1 diabetes. The derived progression likelihood score identified substages corresponding to ≤90th centile (stage 1a, n=258) and >90th centile (stage 1b, n=29; 0.019%) of stage 1 children with a 4.1% (95% CI 1.4, 6.7) and 46% (95% CI 21, 63) 2 year risk of progressing to stage 3 type 1 diabetes, respectively.

Conclusions/interpretation: Public health screening for islet autoantibodies found 0.027% of children to have undiagnosed clinical type 1 diabetes and 0.038% to have undiagnosed presymptomatic stage 2 or stage 1b type 1 diabetes, with 50% risk to develop clinical type 1 diabetes within 2 years.

Keywords: Clinical trial modelling; Glucose tolerance; Immunotherapy; Islet autoantibodies; Population screening; Progression score; Public health screening; Type 1 diabetes.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Flow of participants in the Fr1da study. DKA, diabetic ketoacidosis
Fig. 2
Fig. 2
Progression from stage 1 or stage 2 type 1 diabetes to stage 3 type 1 diabetes. Cumulative risks (lines with 95% CIs indicated with shading) of developing stage 3 type 1 diabetes in children with stage 1 (red) or stage 2 (blue) type 1 diabetes. The follow-up starts at the initial staging using OGTTs. The numbers of children at risk are indicated below each time point
Fig. 3
Fig. 3
Multivariable analysis of risk of developing stage 3 type 1 diabetes. The HRs (95% CIs) are shown for variables included in the multivariable CPH analysis that were significantly associated with the development of stage 3 type 1 diabetes in univariable CPH models. IA-2A category as negative (0) and tertiles of IA-2A titres: 3–100 arbitrary units (1), 100–290 arbitrary units (2), >290 arbitrary units (3). Standardised BMI was calculated using the WHO Child Growth Standards based on height and weight and age
Fig. 4
Fig. 4
Progression to stage 3 type 1 diabetes in children with stage 1 type 1 diabetes stratified by the progression likelihood score. (a) Sensitivity (in red) and cumulative risk (in black) of developing stage 3 type 1 diabetes within 2 years in children with stage 1 type 1 diabetes, stratified by the tenth centiles of the risk scores calculated using Cox regression (progression likelihood score). Analyses were performed using 287 children with stage 1 type 1 diabetes and complete data for all three variables were included in the risk score (glucose at 90 min in OGTTs, IA-2A titre category and HbA1c). (b) Cumulative risks (lines with 95% CIs indicated with shading) of developing stage 3 type 1 diabetes in children with stage 1 type 1 diabetes and a risk score >90th centile (in blue) or ≤90th centile (in red). The follow-up starts at the initial staging. The numbers of children at risk are indicated below each time point. T1D, type 1 diabetes
Fig. 5
Fig. 5
Progression to stage 3 type 1 diabetes in children with stage 2 or stage 1 type 1 diabetes stratified by the progression likelihood score. The cumulative risks (lines with 95% CIs indicated with shading) of developing stage 3 type 1 diabetes are shown for children with either stage 2 type 1 diabetes or stage 1b, corresponding to stage 1 type 1 diabetes, and a progression likelihood score >90th centile (in blue), children with stage 1a and a progression likelihood score between the 30th and 90th centiles (in green), and children with stage 1a and a progression likelihood score below the 30th centile (in red). The follow-up starts at the initial staging. The numbers of children at risk are indicated below each time point

References

    1. Herold KC, Bundy BN, Long SA, et al. An Anti-CD3 Antibody, Teplizumab, in Relatives at Risk for Type 1 Diabetes. N Engl J Med. 2019;381(7):603–613. doi: 10.1056/NEJMoa1902226. - DOI - PMC - PubMed
    1. Sims EK, Bundy BN, Stier K, et al. Teplizumab improves and stabilizes beta cell function in antibody-positive high-risk individuals. Sci Transl Med. 2021;13(583):eabc8980. doi: 10.1126/scitranslmed.abc8980. - DOI - PMC - PubMed
    1. Ziegler AG, Hoffmann GF, Hasford J, et al. Screening for asymptomatic β-cell autoimmunity in young children. Lancet Child Adolesc Health. 2019;3(5):288–290. doi: 10.1016/S2352-4642(19)30028-8. - DOI - PubMed
    1. Ziegler AG, Kick K, Bonifacio E, et al. Yield of a Public Health Screening of Children for Islet Autoantibodies in Bavaria, Germany. JAMA. 2020;323(4):339–351. doi: 10.1001/jama.2019.21565. - DOI - PMC - PubMed
    1. Bonifacio E. Predicting type 1 diabetes using biomarkers. Diabetes Care. 2015;38(6):989–996. doi: 10.2337/dc15-0101. - DOI - PubMed

Publication types