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Research Article| Volume 141, 155514, April 2023

Subtypes of type 2 diabetes and their association with outcomes in Korean adults - A cluster analysis of community-based prospective cohort

  • You-Cheol Hwang
    Correspondence
    Corresponding author at: Division of Endocrinology and Metabolism, Department of Medicine, Kyung Hee University School of Medicine, Kyung Hee University Hospital at Gangdong, #892 Dongnam-ro, Gangdong-gu, Seoul 05278, Republic of Korea.
    Affiliations
    Division of Endocrinology and Metabolism, Department of Medicine, Kyung Hee University School of Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
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  • Hong-Yup Ahn
    Affiliations
    Department of Statistics, Dongguk University, Seoul, Republic of Korea
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  • Ji Eun Jun
    Affiliations
    Division of Endocrinology and Metabolism, Department of Medicine, Kyung Hee University School of Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
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  • In-Kyung Jeong
    Affiliations
    Division of Endocrinology and Metabolism, Department of Medicine, Kyung Hee University School of Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
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  • Kyu Jeung Ahn
    Affiliations
    Division of Endocrinology and Metabolism, Department of Medicine, Kyung Hee University School of Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
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  • Ho Yeon Chung
    Affiliations
    Division of Endocrinology and Metabolism, Department of Medicine, Kyung Hee University School of Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
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Published:February 04, 2023DOI:https://doi.org/10.1016/j.metabol.2023.155514

      Highlights

      • Patients with type 2 diabetes can be categorized into four clusters with different diabetes-related outcomes.
      • Glycemic deterioration needed to initiate anti-diabetic therapy was earlier in severe insulin-deficient diabetes patients.
      • Patients with mild age-related diabetes and severe insulin-deficient diabetes showed the highest risk of complications.

      Abstract

      Background

      Little is known about the subtypes of type 2 diabetes (T2D) and their association with clinical outcomes in Asians.

      Methods

      We performed data-driven cluster analysis in patients with newly diagnosed drug-naive T2D (n = 756) from the Korean Genome and Epidemiology Study. Clusters were based on five variables (age at diagnosis, BMI, HbA1c, and HOMA2 β-cell function, and insulin resistance).

      Results

      We identified four clusters of patients with T2D according to k-means clustering: cluster 1 (22.4 %, severe insulin-resistant diabetes [SIRD]), cluster 2 (32.7 %, mild age-related diabetes [MARD]), cluster 3 (32.7 %, mild obesity-related diabetes [MOD]), and cluster 4 (12.3 %, severe insulin-deficient diabetes [SIDD]). During 14 years of follow-up, individuals in the SIDD cluster had the highest risk of initiation of glucose-lowering therapy compared to individuals in the other three clusters. Individuals in the MARD and SIDD clusters showed the highest risk of chronic kidney disease and cardiovascular disease, and individuals in the MOD clusters showed the lowest risk after adjusting for other risk factors (P < 0.05).

      Conclusions

      Patients with T2D can be categorized into four subgroups with different glycemic deterioration and risks of diabetes complications. Individualized management might be helpful for better clinical outcomes in Asian patients with different T2D subgroups.

      Graphical abstract

      Abbreviations:

      BMI (body mass index), CKD (chronic kidney disease), CVD (cardiovascular disease), GFR (glomerular filtration rate), HOMA (homeostasis model assessment), MAFLD (metabolic dysfunction-associated fatty liver disease), MARD (mild age-related diabetes), MOD (mild obesity-related diabetes), OGTT (oral glucose tolerance test), SIDD (severe insulin-deficient diabetes), SIRD (severe insulin-resistant diabetes), T2D (type 2 diabetes)

      Keywords

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