Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Department of Urology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Lipids Health Dis. 2024 Jun 21;23(1):189. doi: 10.1186/s12944-024-02179-w.
Presently, the majority of investigations primarily evaluate the association between lipid profiles and asthma. However, few investigations explore the connection between lipids and mortality related to the disease. This study aims to explore the association of serum lipids with all-cause mortality within asthmatic adults.
The investigation included 3233 eligible patients with asthma from the NHANES (2011-2018). The potential associations were explored using three Cox proportional hazards models, restricted cubic splines (RCS), threshold effect models, and CoxBoost models. In addition, subgroup analyses were conducted to investigate these associations within distinct populations.
After controlling all covariables, the Cox proportional hazards model proved a 17% decrease in the probability of death for each increased unit of low-density lipoprotein-cholesterol (LDL-C) (mmol/L). Yet, there was no association seen between blood high-density lipoprotein cholesterol (HDL-C), total cholesterol, or triglyceride and all-cause mortality in asthmatics. The application of RCS and threshold effect models verified an inverse and linear association of LDL-C with all-cause mortality. According to the results from the CoxBoost model, LDL-C exhibited the most substantial impact on the follow-up status of asthmatics among the serum lipids.
Our investigation concluded that in American asthmatic populations, LDL-C levels were inversely and linearly correlated with mortality. However, no independent relationship was found between triglycerides, total cholesterol, or HDL-C and mortality.
目前,大多数研究主要评估血脂谱与哮喘之间的关联。然而,很少有研究探讨脂质与与疾病相关的死亡率之间的联系。本研究旨在探讨血清脂质与哮喘成人全因死亡率之间的关系。
本研究纳入了来自 NHANES(2011-2018 年)的 3233 名符合条件的哮喘患者。使用三个 Cox 比例风险模型、限制立方样条(RCS)、阈值效应模型和 CoxBoost 模型来探索潜在的关联。此外,还进行了亚组分析,以探讨这些关联在不同人群中的表现。
在控制所有协变量后,Cox 比例风险模型显示,每增加一个单位的低密度脂蛋白胆固醇(LDL-C)(mmol/L),死亡的概率就会降低 17%。然而,在哮喘患者中,血液高密度脂蛋白胆固醇(HDL-C)、总胆固醇或甘油三酯与全因死亡率之间没有关联。RCS 和阈值效应模型的应用验证了 LDL-C 与全因死亡率之间呈负相关和线性关系。根据 CoxBoost 模型的结果,在血清脂质中,LDL-C 对哮喘患者的随访状态影响最大。
本研究表明,在美国哮喘人群中,LDL-C 水平与死亡率呈负相关和线性相关。然而,甘油三酯、总胆固醇或 HDL-C 与死亡率之间没有独立关系。