Triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis.

Yusen Liu, Ruiwen Chi, Yujie Jiang, Bicheng Chen, Youli Chen, Zengrui Chen
Author Information
  1. Yusen Liu: Department of Cooperation and Communication, The First Clinical Medical College & The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
  2. Ruiwen Chi: Department of Cooperation and Communication, The First Clinical Medical College & The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
  3. Yujie Jiang: School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, China.
  4. Bicheng Chen: Department of Cooperation and Communication, The First Clinical Medical College & The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
  5. Youli Chen: Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  6. Zengrui Chen: Intensive Care Unit, The People's Hospital of Yuhuan, Yuhuan, China.

Abstract

BACKGROUND: Triglyceride glycemic (TyG) index is a novel tool for assessing insulin resistance (IR). Recently, TyG index as a potential biomarker for gestational diabetes mellitus (GDM) has been studied, but its performance is yet inconclusive. Thus, we performed this systemic review and meta-analysis to evaluate the performance of TyG index in predicting GDM.
METHODS: Studies published before March 1, 2021, with comparison of TyG index between GDM patients and healthy controls were retrieved from multiple databases (PubMed, Web of Science, The Cochrane Library, and Embase). The mean difference (MD) of TyG index in GDM patients and healthy controls was pooled using random-effect models.
RESULTS: Differentiation of TyG index between patients with GDM and controls showed significant results. Overall, there is a four-fold increase in TyG index in GDM patients compared with controls (MD: 0.22, 95% CI: 0.07-0.36, P = 0.003; I2 = 71%, P = 0.009). In subgroup analyses according to gestational time, TyG index in the second trimester predicted GDM with low heterogeneity (MD: 0.26, 95% CI: 0.15-0.37, P < 0.001; I2 = 0%, P = 0.54), while no such correlation was found in the first trimester.
CONCLUSION: TyG index, especially in the second trimester, could be a promising biomarker for predicting GDM.

Keywords

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Word Cloud

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