Oct 2026· Diabetic Medicine· pp.
e70492
· 0 citations· 25 references
Medicine
TL;DR
Real-world progression from islet autoimmunity to T1D is strongly modified by age, HbA1c and autoantibody burden, which varies substantially by age, glycaemia and autoantibody burden.
Abstract
Background
Type 1 diabetes (T1D) follows a staged autoimmune natural history, yet most evidence describing progression derives from highly selected, genetically at-risk cohorts.
Methods
Using the TriNetX Network, we identified eight cohorts of autoantibody-positive individuals without prior T1D. Four cohorts had preserved glycaemia (HbA1c ≤5.6%) and four parallel cohorts had dysglycaemia (HbA1c 5.7%-6.4%). Cohorts were sub-defined by autoantibody burden (single vs. two autoantibodies) and age (≤18 vs. >18 years). Follow-up was 3 years, with incident clinically coded T1D as the primary outcome.
Results
Among 7000 individuals, progression risk varied substantially by age, glycaemia and autoantibody burden. In those with HbA1c ≤38 mmol/mol (≤5.6%; n = 4536), children had higher risk than adults with both single (HR 4.13, 95% CI 2.92-5.85) and two autoantibody burden (HR 7.03, 95% CI 3.63-13.62). In the dysglycaemia group (39-46 mmol/mol [5.7%-6.4%]; n = 2464), the paediatric-adult gradient persisted for both single (HR 2.01, 95% CI 1.45-2.78) and two autoantibodies (HR 4.22, 95% CI 2.29-7.75). Elevated HbA1c increased progression risk in single-antibody individuals (children HR 1.44, 95% CI 1.05-1.97; adults HR 2.94, 95% CI 2.05-4.20) but not significantly in individuals who already had two antibodies.
Conclusions
Real-world progression from islet autoimmunity to T1D is strongly modified by age, HbA1c and autoantibody burden. Mild dysglycaemia and single-antibody positivity, not captured by current staging criteria, identify individuals at increased risk.
Background: Type 1 diabetes (T1D) incidence is rising at 3–5% per year. Autoantibody (AAB) screening identifies at-risk children pre-symptomatically, yet the clinical significance of single AAB positivity and its short-term trajectory remain incompletely characterized. Methods: Five T1D-associated AABs (anti-GAD65, ant...
N. Yaneva, Trifon T. Popov, Meri Petrova et al.· Life· 0 citations
AIMS
To estimate one-year progression to type 2 diabetes among adults with prediabetes in primary care and explore associated baseline characteristics.
METHODS
Adults with prediabetes identified using FPG, 2-h OGTT glucose and/or HbA1c criteria at a Turkish family health centre were followed for one year. Incident di...
Ayşen Sümer Tapur, Erdinç Yavuz, Nur Simsek Yurt· Primary Care Diabetes· 0 citations
OBJECTIVE
Individuals with single islet autoantibody positivity exhibit a highly variable risk for type 1 diabetes progression. We evaluated whether metabolic measures identify those at higher progression risk.
RESEARCH DESIGN AND METHODS
Among first- and second-degree relatives of persons with type 1 diabetes who sc...
E. K. Sims, Lu You, H. Ismail et al.· Diabetes Care· 0 citations
AIMS/HYPOTHESIS
Our aim was to describe the phenotype at diagnosis and the early therapeutic profile of newly diagnosed type 2 diabetes across two periods spanning approximately 15 years within the same integrated healthcare system.
METHODS
This retrospective cohort study used electronic health record data from Clali...
Daniel Kirshner, M. Hauzer· Diabetologia· 0 citations
AIMS/HYPOTHESIS
Prediabetes is heterogeneous, with subtypes defined by impaired fasting glucose (IFG), impaired glucose tolerance (IGT) or HbA1c, each with different risks of progression to type 2 diabetes. We compared progression across these subtypes, and evaluated the benefit of adding insulin secretion and sensitiv...
Hun-Jee Choe, Wonsuk Choi, Howard H. Chang et al.· Diabetologia· 0 citations
Abstract Introduction Type 1 diabetes (T1D) is a progressive autoimmune disease with identifiable presymptomatic stages. Islet autoantibody screening, expanded in Italy by Law 130/2023, identifies children and adults at high risk of progression. Structured longitudinal follow-up is needed to characterise disease trajec...
V. Cherubini, R. Gesuita, E. Mozzillo et al.· BMJ Open· 0 citations
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