Association Between the Non-High-Density Lipoprotein Cholesterol-to-High-Density Lipoprotein Cholesterol Ratio (NHHR) and Mortality in Patients with COPD: Evidence From the NHANES 1999-2018

非高密度脂蛋白胆固醇与高密度脂蛋白胆固醇比值(NHHR)与慢性阻塞性肺疾病患者死亡率之间的关联:来自1999-2018年美国国家健康与营养调查(NHANES)的证据

阅读:1

Abstract

PURPOSE: The non-high-density lipoprotein cholesterol-to-high-density lipoprotein cholesterol ratio (NHHR) is a new composite blood lipid index. We aimed to investigate the relationships of the NHHR with mortality from all-causes, cardiovascular disease (CVD), and chronic lower respiratory disease (CLRD) in US patients with COPD. METHODS: We assessed the association between the NHHR and mortality via weighted multivariate Cox proportional hazards regression models with restricted cubic splines (RCSs). Between-group survival rates at specific time points were compared via Kaplan‒Meier (KM) curves and Log rank tests. Receiver operating characteristic (ROC) curves were constructed to evaluate the efficiency of the NHHR for predicting mortality risk in COPD patients. RESULTS: After adjusting for confounding factors, weighted multivariate Cox proportional hazards regression model showed that higher NHHR was not significantly associated with all-cause mortality (HRs = 1.74), CVD mortality (HRs = 1.19), and CLRD-related mortality (HRs = 0.65), but HRs tended to increase as NHHR increased. RCS revealed U-shaped associations between the NHHR and all-cause mortality. KM survival analysis revealed a significantly lower survival rate for patients in the high-NHHR group (Log rank test P<0.001). In addition, the NHHR had superior performance in predicting mortality, with AUC values of 0.85 and 0.883 for all-cause mortality, 0.769 and 0.815 for CVD mortality, and 0.765 and 0.815 for CLRD-related mortality at 5 and 10 years, respectively. CONCLUSION: The higher the NHHR is, the greater the risk of all-cause mortality in COPD patients. The NHHR was significantly superior to other haematological biomarkers in predicting mortality.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。