Type 1 diabetes

Stratifying the Rate of Disease Progression by Progression Likelihood Scores in Children and Adolescents With Stage 1 and Stage 2 Type 1 Diabetes in Germany

Diabetes CarePublished Prospective cohort study

Authors' conclusion

The PLS and a novel non-OGTT-based score can stratify the short- to medium-term progression rates to stage 3 and should be considered for guiding monitoring practices and clinical trial eligibility.

Study context

Population
Children aged 1.75–10 years with early-stage (stage 1 or stage 2) T1D identified by islet autoantibody screening of 211,464 children in Germany (Fr1da), staged by oral glucose tolerance test (OGTT) and hemoglobin A1c (HbA1c) (ADA criteria), followed 3–6 months360 stage 1
Participants
485 children
Exposure
Progression likelihood score categories for risk of stage 3 T1D
Outcome
Progression to clinical stage 3 T1D
Follow-up
2-year risk
Methodological detailspopulation-based screening (Fr1da), multivariable Cox proportional hazards models
  • Population-based screening (Fr1da)
  • Multivariable Cox proportional hazards models

Main finding

As reported in the abstract

2-year risk of stage 3, stage 1 · 2 years
Stage 3 developed among stage 1 children (median follow-up 3.3 years)
105

Observational data: associations, not effects.

Further findings

Adding obesity to the progression likelihood score (PLS) model

Adding the variable obesity improved the existing model

2-year risk of stage 3, stage 2 with a single dysglycemic abnormality, stratified by PLS

PLS stratified 2-year risk from
42.4% (95% CI 22.8-57.0) to 5.6% (0.0-15.6)

Non-OGTT-based score (IA-2A titer categories, HbA1c, obesity, IA-2 juxtamembrane epitope autoantibody positivity) · 2 years

Low 2-year risk
1.7%
Moderate 2-year risk
24.6%

Original publication

Stratifying the Rate of Disease Progression by Progression Likelihood Scores in Children and Adolescents With Stage 1 and Stage 2 Type 1 Diabetes in Germany. Diabetes Care. Published 16 December 2025. doi:10.2337/dc25-2184

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.