Free Triiodothyronine Connected With Metabolic Changes in Patients With Coronary Artery Disease by Interacting With Other Functional Indicators.
Free Triiodothyronine Connected With Metabolic Changes in Patients With Coronary Artery Disease by Interacting With Other Functional Indicators.
复制标题
游离三碘甲状腺原氨酸通过与其他功能指标相互作用与冠状动脉疾病患者的代谢变化相关
DOI：
10.3389/fmolb.2021.681955
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发表时间：
2021
影响因子：
5
通讯作者：
Zhong S
中科院分区：
文献类型：
--
作者：
Tian XX;Zheng SF;Liu JE;Wu YY;Lin L;Chen HM;Li LW;Qin M;Wang ZX;Zhu Q;Lai WH;Zhong S
本研究旨在评价游离三碘甲状腺原氨酸（FT 3）与冠心病（CAD）患者预后的关系，并从潜在机制的角度评估FT 3及相关功能标志物的预测能力。共有5104例CAD患者参加了我们的研究，平均随访3年。采用多因素考克斯回归分析FT 3、FT 4（游离甲状腺素）、FT 3/FT 4与死亡、MACE的关系。我们开发并验证了基于FT 3指标的年龄、生物标志物和临床病史（ABC）模型，以预测CAD患者的预后。在多变量考克斯比例风险模型中，FT 3和FT 3/FT 4是死亡率的独立预测因子（校正HR = 0.624，95% CI = 0.486-0.801;校正HR = 0.011，95% CI = 0.002-0.07）。同时，新出现的标志物前脑钠肽、纤维蛋白原和白蛋白水平与低FT 3显著相关（p < 0.001）。基于生物标志物的新风险死亡评分可用于很好地预测CAD患者的结局（C指数为0.764，95%CI = 0.731-0.797）。总的来说，我们的研究结果表明，低水平的FT 3和FT 3/FT 4是CAD患者死亡和MACE风险的独立预测因子。此外，基于FT 3的预后模型为CAD患者的死亡风险分层提供了有用的工具。
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.