AIM To improve the diagnosis and classification of patients who fail to satisfy current type 1 diabetes diagnostic criteria. METHODS Review of the literature and current diagnostic guidelines. DISCUSSION We propose a novel, clinically useful classification based on islet autoantibody status and non-fasting C-peptide levels. Notably, we discuss the subgroup of latent autoimmune diabetes in the young and propose a new subgroup classification of autoantibody negative type 1 diabetes in remission. CONCLUSION A novel classification system is proposed. Further work is needed to accurately diagnose and manage minority type 1 diabetes subgroups.
Classification of type 1 diabetes: A pathogenic and treatment-based classification.
Shivani K. Patel,S. Fourlanos,J. R. Greenfield
Published 2024 in Diabetes & metabolic syndrome
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PUBLICATION RECORD
- Publication year
2024
- Venue
Diabetes & metabolic syndrome
- Publication date
2024-03-01
- Fields of study
Medicine
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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