Establishing optimal cut-offs of cardio-metabolic indices for diagnosing metabolic syndrome in type 2 diabetes
All cardio-metabolic indices significantly predicted MetS risk, but LAP and CMI emerged as the most effective predictors of MetS in Iranian adults with T2DM, demonstrating high diagnostic performance. These indices can serve as valuable, cost-effective screening tools in clinical practice, enabling early intervention and risk reduction in high-risk populations. Future studies should validate these findings across diverse ethnic groups and assess their long-term predictive value for MetS-related complications.
Authors
- Mahdi Karimi (ORCID: https://orcid.org/0009-0001-4877-3809)
- Mahmood Reza Masoudi (ORCID: https://orcid.org/0000-0003-1427-5534)
- Hadi Bazyar (ORCID: https://orcid.org/0000-0002-1627-7122)
- Mohsen Dayani
- Mohammad Moqaddasi Amiri (ORCID: https://orcid.org/0000-0002-8003-7123)
- Manisa Ghani (ORCID: https://orcid.org/0009-0000-0756-7796)
- Mostafa Dianati
- Reza Sadeghi (ORCID: https://orcid.org/0000-0002-3594-447X)
- Mohammad Karim Azadbakht
Institutions
- Ahvaz Jundishapur University of Medical Sciences (IR)
- Sirjan University of Technology (IR)
- Maastricht University (NL)
- Iranshahr University (IR)
- Sunway University (MY)
Publication Details
- Journal
- BMC Endocrine Disorders
- Published
- 2025-10-24
- DOI
- https://doi.org/10.1186/s12902-025-02061-5
- Citations
- 1
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 1.29