Identification of Metabolic Patterns in Korean Patients With Type 2 Diabetes and Their Association With Diabetes-Related Complications
Identifying patterns of metabolic heterogeneity in type 2 diabetes (T2D) can help in the development of optimal treatment strategies. We aimed to identify metabolic patterns in patients with T2D in the Republic of Korea and analyze the risk of developing diabetes-related complications according to patterns. We identified three distinct metabolic patterns and observed that each pattern was associated with a heightened risk of developing various cardiovascular diseases. These findings highlight the necessity of devising treatment strategies based on these patterns to prevent diabetes-related complications.
Authors
- Sang Youl Rhee (ORCID: https://orcid.org/0000-0003-0119-5818)
- Kumhee Son
- Sihoon Lee (ORCID: https://orcid.org/0000-0002-9444-5849)
- Dong Keon Yon (ORCID: https://orcid.org/0000-0003-1628-9948)
- You‐Cheol Hwang (ORCID: https://orcid.org/0000-0003-4033-7874)
- Hyunji Sang (ORCID: https://orcid.org/0000-0003-2557-5911)
- Minji Kang (ORCID: https://orcid.org/0000-0003-0009-4249)
- Hyunjung Lim (ORCID: https://orcid.org/0000-0001-7632-7315)
- Sun Young Kim (ORCID: https://orcid.org/0000-0003-4115-4455)
Institutions
- Gachon University (KR)
- Kyung Hee University (KR)
- Kyung Hee University Medical Center (KR)
- Kyung Hee University Hospital at Gangdong (KR)
Publication Details
- Journal
- Diabetes
- Published
- 2024-11-15
- DOI
- https://doi.org/10.2337/db23-0798
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 0.00