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Accurate diagnosis of diabetes mellitus and new paradigms of classification

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A cluster analysis of five independent Swedish cohorts of people with diabetes mellitus has identified five clusters of classification based on age at diagnosis, BMI, HbA1c autoantibodies and markers of insulin resistance. Patients in each of the clusters have specific disease characteristics and unique risk profiles for complications from diabetes mellitus.

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Acknowledgements

The authors acknowledge support from the National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care — East Midlands (NIHR CLAHRC — EM), the Leicester Clinical Trials Unit, and the NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Centre, which is a partnership between University Hospitals of Leicester NHS Trust, Loughborough University and the University of Leicester.

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Authors and Affiliations

  1. Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, Leicestershire, UK

    Sudesna Chatterjee & Melanie J. Davies

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  1. Sudesna Chatterjee
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  2. Melanie J. Davies
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Correspondence to Melanie J. Davies.

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Competing interests

S.C. has received speaker fees or educational funding, or both, from Janssen, Eli Lilly, Novo Nordisk, AstraZeneca, and Boehringer Ingelheim and grants in support of investigator-initiated trials from Boehringer Ingelheim and Janssen. M.J.D. reports personal fees from Novo Nordisk, Sanofi-Aventis, Eli Lilly, Merck Sharp & Dohme, Boehringer Ingelheim, AstraZeneca, Janssen, Mitsubishi Tanabe Pharma Corporation, and Takeda Pharmaceuticals International and grants from Novo Nordisk, Sanofi-Aventis, Eli Lilly, Boehringer Ingelheim, and Janssen.

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Chatterjee, S., Davies, M.J. Accurate diagnosis of diabetes mellitus and new paradigms of classification. Nat Rev Endocrinol 14, 386–387 (2018). https://doi.org/10.1038/s41574-018-0025-1

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