Articles Vol. 67 No. CĐ11-NCKH 31/07/2026

PERFORMANCE OF THE METS-IR INDEX IN IDENTIFYING POOR GLYCEMIC CONTROL IN PATIENTS WITH TYPE 2 DIABETES MELLITUS

Bui Thi Minh Phuong1,2, Nguyen Thi Minh Thai1,2
1 Thai Binh University of Medicine and Pharmacy
2 Trường Đại học Y Dược Thái Bình
DOI: 10.52163/yhc.v67iCD11.6036
28 Views
0 Downloads
Abstract

Objective: To evaluate the ability of the METS-IR index to identify HbA1c ≥ 7% in patients with type 2 diabetes mellitus.

Methods: A cross-sectional study was conducted among 189 patients with type 2 diabetes mellitus. Poor glycemic control was defined as HbA1c ≥ 7%. The discriminative ability of METS-IR was assessed using the receiver operating characteristic curve, a 2×2 contingency table, and logistic regression.

Results: The proportion of patients with HbA1c ≥ 7% was 36.5%. The optimal METS-IR cutoff in the study sample was 36.46, with an AUC of 0.669, sensitivity of 71.0%, specificity of 60.0%, positive predictive value of 50.5%, and negative predictive value of 78.3%. METS-IR ≥ 36.46 was significantly associated with HbA1c ≥ 7%, with an OR of 3.675 in the univariate model and an OR of 4.053 after multivariable adjustment. The observed AUC of METS-IR was higher than those of BMI, waist circumference, triglycerides, and triglyceride/HDL-C.

Conclusion: METS-IR showed moderate ability to identify HbA1c ≥ 7% in patients with type 2 diabetes mellitus.

References
[1]
Bhalla M. ADA standards of care 2025: 1-45. Google Scholar
[2]
Bello-Chavolla O.Y, Almeda-Valdes P, Gomez-Velasco D et al. METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes. Eur J Endocrinol, 2018, 178 (5): 533-544. doi: 10.1530/eje-17-0883 Google Scholar
[3]
2025 ADASoCiD. https://professionaldiabetesorg/standards-of-care. Google Scholar
[4]
Nguyễn Đinh Thanh Nhân, Nguyễn Ngọc Diệp và cộng sự. Mối liên quan giữa METS-IR và một số đặc điểm trên bệnh nhân nhồi máu cơ tim cấp không đái tháo đường. Tạp chí khoa học, Trường Đại học Quốc tế Hồng Bàng, 2024, số đặc biệt: 48-54. doi: 10.59294/HIUJS.KHTT.2024.006 Google Scholar
[5]
Zhu L, Spence C, Yang J.W, Ma G.X. The IDF definition is better suited for screening metabolic syndrome and estimating risks of diabetes in Asian American adults: evidence from NHANES 2011-2016. J Clin Med, 2020, 9 (12): 3871. doi: 10.3390/jcm9123871 Google Scholar
[6]
Cheng H, Jia Z, Li YT et al. Metabolic score for insulin resistance and new-onset type 2 diabetes in a middle-aged and older adult population: nationwide prospective cohort study and implications for primary care. JMIR Public Health Surveill, 2024, 10: e49617. doi: 10.2196/49617 Google Scholar
[7]
Hou Y, Li R, Xu Z et al. Association of METS-IR index with type 2 diabetes: a cross-sectional analysis of national health and nutrition examination survey data from 2009 to 2018. PLoS One, 2024, 19 (11): e0308597. doi: 10.1371/journal.pone.0308597 Google Scholar
[8]
Luu Quang Thuy, Hoang Thi Phuong Nam et al. Factors associated with glycaemic control among diabetic patients managed at an urban hospital in Hanoi, Vietnam. Biomed Res Int, 2021, 2021: 8886904. doi: 10.1155/2021/8886904 Google Scholar