Prognostic effect of the TyG index on patients with severe aortic stenosis following transcatheter aortic valve replacement: a retrospective cohort study.

IF 8.5 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Weiya Li, Hongde Li, Shiqin Peng, Junli Li, Yuan Feng, Yong Peng, Jiafu Wei, Zhengang Zhao, Tianyuan Xiong, Haoran Yang, Chengxiang Song, Lin Bai, Yijun Yao, Fei Chen, Yue Yin, Mao Chen
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引用次数: 0

Abstract

Background: The triglyceride glucose (TyG) index, as a reliable marker of insulin resistance, is associated with the incidence and poor prognosis of various cardiovascular diseases. However, the relationship between the TyG index and clinical outcomes in patients with severe aortic stenosis (AS) who underwent transcatheter aortic valve replacement (TAVR) remains unclear.

Methods: This study consecutively enrolled 1569 patients with AS underwent TAVR at West China Hospital of Sichuan University between April 2014 and August 2023. The outcomes of interest included all-cause mortality, cardiovascular mortality, and major adverse cardiovascular events (MACE). Multivariate adjusted Cox regression and restricted cubic splines (RCS) regression analyses were used to assess the associations between the TyG index and the clinical outcomes. The incremental prognostic value of the TyG index was further assessed by the time-dependent Harrell's C-index, integrated discrimination improvement (IDI) and the net reclassification improvement (NRI).

Results: During a median follow-up of 1.09 years, there were 146, 70, and 196 patients experienced all-cause death, cardiovascular death, and MACE, respectively. After fully adjusting for confounders, a per-unit increase of TyG index was associated with a 441% (adjusted HR: 5.41, 95% CI: 4.01-7.32), 385% (adjusted HR: 4.85, 95% CI: 3.16-7.43), and 347% (adjusted HR: 4.47, 95% CI: 3.42-5.85) higher risk of all-cause mortality, cardiovascular mortality and MACE, respectively. The RCS regression analyses revealed a linear association between TyG index and endpoints (all P for non-linearity > 0.05) with 8.40 as the optimal binary cutoff point. Furthermore, adding TyG index to the basic risk model provided a significant incremental value in predicting poor prognosis (Time-dependent Harrell's C-index increased for all the endpoints; All-cause mortality, IDI: 0.11, P < 0.001; NRI: 0.32, P < 0.001; Cardiovascular mortality, IDI: 0.043, P < 0.001; NRI: 0.37, P < 0.001; MACE, IDI: 0.092, P < 0.001; NRI: 0.32, P < 0.001).

Conclusions: In patients with severe AS receiving TAVR, there was a positive linear relationship between TyG index and poor prognosis, with 8.4 as the optimal bivariate cutoff value. Our findings suggest TyG index holds potential value for risk stratification and guiding therapeutic decisions in patients after TAVR.

经导管主动脉瓣置换术后,TyG 指数对重度主动脉瓣狭窄患者的预后影响:一项回顾性队列研究。
背景:甘油三酯葡萄糖(TyG)指数是胰岛素抵抗的可靠标志,与各种心血管疾病的发病率和不良预后有关。然而,在接受经导管主动脉瓣置换术(TAVR)的重度主动脉瓣狭窄(AS)患者中,TyG指数与临床预后之间的关系仍不明确:本研究连续纳入了2014年4月至2023年8月期间在四川大学华西医院接受TAVR治疗的1569例重度主动脉瓣狭窄患者。研究结果包括全因死亡率、心血管死亡率和主要不良心血管事件(MACE)。多变量调整 Cox 回归和限制性立方样条(RCS)回归分析用于评估 TyG 指数与临床结果之间的关联。TyG指数的增量预后价值通过与时间相关的Harrell's C指数、综合分辨改进(IDI)和净再分类改进(NRI)进一步评估:在中位 1.09 年的随访期间,分别有 146、70 和 196 名患者经历了全因死亡、心血管死亡和 MACE。在完全调整混杂因素后,TyG指数每增加一个单位,全因死亡、心血管死亡和MACE的风险分别增加441%(调整后HR:5.41,95% CI:4.01-7.32)、385%(调整后HR:4.85,95% CI:3.16-7.43)和347%(调整后HR:4.47,95% CI:3.42-5.85)。RCS回归分析显示,TyG指数与终点之间存在线性关系(非线性P均大于0.05),8.40为最佳二元截断点。此外,在基本风险模型中加入TyG指数可显著增加预测不良预后的价值(所有终点的时间依赖性Harrell's C指数增加;全因死亡率,IDI:0.11,P 结论:TyG指数是预测不良预后的重要指标:在接受 TAVR 的重度 AS 患者中,TyG 指数与不良预后呈正线性关系,8.4 为最佳双变量临界值。我们的研究结果表明,TyG指数对TAVR术后患者的风险分层和治疗决策具有潜在的指导价值。
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来源期刊
Cardiovascular Diabetology
Cardiovascular Diabetology 医学-内分泌学与代谢
CiteScore
12.30
自引率
15.10%
发文量
240
审稿时长
1 months
期刊介绍: Cardiovascular Diabetology is a journal that welcomes manuscripts exploring various aspects of the relationship between diabetes, cardiovascular health, and the metabolic syndrome. We invite submissions related to clinical studies, genetic investigations, experimental research, pharmacological studies, epidemiological analyses, and molecular biology research in this field.
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