Frontiers in Molecular Biosciences (Jul 2021)

Free Triiodothyronine Connected With Metabolic Changes in Patients With Coronary Artery Disease by Interacting With Other Functional Indicators

  • Xiao-xue Tian,
  • Xiao-xue Tian,
  • Xiao-xue Tian,
  • Shu-fen Zheng,
  • Shu-fen Zheng,
  • Shu-fen Zheng,
  • Ju-e Liu,
  • Ju-e Liu,
  • Yuan-yuan Wu,
  • Yuan-yuan Wu,
  • Lu Lin,
  • Lu Lin,
  • Hong-mei Chen,
  • Hong-mei Chen,
  • Li-wen Li,
  • Li-wen Li,
  • Min Qin,
  • Min Qin,
  • Zi-xian Wang,
  • Zi-xian Wang,
  • Qian Zhu,
  • Qian Zhu,
  • Wei-hua Lai,
  • Shilong Zhong,
  • Shilong Zhong,
  • Shilong Zhong,
  • Shilong Zhong

DOI
https://doi.org/10.3389/fmolb.2021.681955
Journal volume & issue
Vol. 8

Abstract

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This study aims to evaluate the association between free triiodothyronine (FT3) and outcomes of coronary artery disease (CAD) patients, as well as to assess the predictive power of FT3 and related functional markers from the perspective of potential mechanism. A total of 5104 CAD patients with an average follow-up of three years were enrolled into our study. Multivariate Cox regression was used to evaluate the associations between FT3, FT4 (free thyroxin), FT3/FT4 and death, MACE. We developed and validated an age, biomarker, and clinical history (ABC) model based on FT3 indicators to predict the prognosis of patients with CAD. In the multivariable Cox proportional hazards model, FT3 and FT3/FT4 were independent predictors of mortality (Adjusted HR = 0.624, 95% CI = 0.486–0.801; adjusted HR = 0.011, 95% CI = 0.002–0.07, respectively). Meanwhile, emerging markers pre-brain natriuretic peptide, fibrinogen, and albumin levels are significantly associated with low FT3 (p < 0.001). The new risk death score based on biomarkers can be used to well predict the outcomes of CAD patients (C index of 0.764, 95% CI = 0.731–0.797). Overall, our findings suggest that low levels of FT3 and FT3/FT4 are independent predictors of death and MACE risk in CAD patients. Besides, the prognostic model based on FT3 provides a useful tool for the death risk stratification of CAD patients.

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