A CGM-Based model for predicting hypoglycemia in type 2 diabetes patients with TIR in target
This study demonstrates a significant correlation between CGM metrics and hypoglycemia in patients with T2DM who achieved TIR > 70%. These findings suggest that CGM metrics can predict the risk of hypoglycemia in T2DM patients with a TIR > 70%, and the nomogram developed from these metrics holds strong potential for clinical application.
Authors
- Ling He (ORCID: https://orcid.org/0000-0002-7062-6709)
- Zhigu Liu
- Danrui Chen (ORCID: https://orcid.org/0009-0001-2841-7356)
- Yanling Yang (ORCID: https://orcid.org/0000-0001-8246-1756)
- Jianwen Lu
- Jinhua Yan (ORCID: https://orcid.org/0000-0001-6246-5266)
- Beisi Lin (ORCID: https://orcid.org/0000-0001-8542-8265)
- Wen Xu (ORCID: https://orcid.org/0000-0002-0537-5421)
- Daizhi Yang
Institutions
- Sun Yat-sen University (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- Diabetology & Metabolic Syndrome
- Published
- 2025-05-24
- DOI
- https://doi.org/10.1186/s13098-025-01713-9
- Citations
- 1
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 1.29