关键词: COX model Right-censored Triglyceride-glucose index

Mesh : Humans Proportional Hazards Models Blood Glucose / metabolism Triglycerides / blood Cardiovascular Diseases / epidemiology diagnosis blood mortality Biomarkers / blood Biomedical Research Time Factors Chest Pain / blood diagnosis Risk Assessment Incidence Risk Factors

来  源:   DOI:10.1186/s12933-024-02302-2   PDF(Pubmed)

Abstract:
The article by Zhao et al. titled \"Associations of Triglyceride-Glucose (TyG) Index with Chest Pain Incidence and Mortality among the U.S. Population\" provides valuable insights into the positive correlation between the TyG index and chest pain incidence, as well as a nonlinear relationship with mortality. However, the use of the COX proportional hazards model in their analysis presents several limitations. The assumption of constant hazard ratios over time may not hold, potentially leading to biased estimates. The model\'s struggle with time-dependent covariates and the possibility of residual confounding are notable concerns. Additionally, the study\'s subgroup analyses might suffer from reduced statistical power, and potential interactions with other metabolic markers were not explored. Considering these limitations, future research should adopt alternative approaches, such as time-varying covariate models, to provide a more comprehensive understanding of the relationship between the TyG index and cardiovascular outcomes.
摘要:
赵等人的文章。标题为“美国人群中甘油三酯-葡萄糖(TyG)指数与胸痛发生率和死亡率的关联”,为TyG指数与胸痛发生率之间的正相关性提供了有价值的见解,以及与死亡率的非线性关系。然而,在他们的分析中使用COX比例风险模型存在一些局限性.随着时间的推移,风险比恒定的假设可能不成立,可能导致有偏差的估计。模型与时间相关的协变量的斗争和残差混杂的可能性是值得注意的问题。此外,研究的亚组分析可能会降低统计能力,与其他代谢标志物的潜在相互作用未被探索。考虑到这些限制,未来的研究应该采用替代方法,例如时变协变量模型,以便更全面地了解TyG指数与心血管结局之间的关系。
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