European Journal of Medical Research (Feb 2024)

Assessing the association between triglyceride-glucose index and atrial fibrillation: a systematic review and meta-analysis

  • Alireza Azarboo,
  • Amir Hossein Behnoush,
  • Zahra Vaziri,
  • Mohammad Shahabaddin Daneshvar,
  • Aryan Taghvaei,
  • Arash Jalali,
  • Alessandro Cannavo,
  • Amirmohammad Khalaji

DOI
https://doi.org/10.1186/s40001-024-01716-8
Journal volume & issue
Vol. 29, no. 1
pp. 1 – 13

Abstract

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Abstract Background An essential relationship between insulin resistance (IR) and atrial fibrillation (AF) has been demonstrated. Among the methods used to assess IR, the triglyceride-glucose (TyG) index is the more straightforward, dimensionless, and low-cost tool. However, the possible usage of this index in clinical practice to predict and diagnose AF has yet to be determined and consolidated. Objective and rationale Herein, we performed a systematic review and meta-analysis to assess the association between the TyG index and AF. Methods Databases (PubMed, Embase, Scopus, and Web of Science) were systematically searched for studies evaluating the TyG index in AF. The inclusion criteria were observational studies investigating AF and TyG index correlation in individuals older than 18 years, while preclinical studies and those without the relevant data were excluded. Random effect meta-analyses comparing TyG levels between AF and non-AF cases, AF recurrence after radiofrequency ablation, and post-procedural AF were performed using standardized mean differences (SMD) with their matching 95% confidence intervals (CIs). Results Our screening identified nine studies to be analyzed, including 6,171 participants including 886 with AF. The meta-analysis demonstrated that the TyG index resulted higher in patients with AF than non-AF counterparts (SMD 1.23, 95% CI 0.71 to 1.75, I 2 98%, P < 0.001). Subgroup analysis showed the same results for post-procedure AF (SMD 0.99, 95% CI 0.78 to 1.20, I 2 10%, P < 0.001) and post-ablation AF (SMD 1.25, 95% CI 1.07 to 1.43, I 2 46%, P < 0.001), while no difference was found in population-based cohorts (SMD 1.45, 95% CI − 0.41 to 3.31, I 2 100%, P = 0.13). Publication year (P = 0.036) and sample size (P = 0.003) showed significant associations with the effect size, using multivariable meta-regression. Conclusion The TyG index is an easy-to-measure surrogate marker of IR in patients with AF. Further clinical studies are warranted to demonstrate its ability for routine clinical use and as a screening tool.

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