肝纤维化-8 指数是心血管疾病患者全因死亡率的预测指标:一项队列研究。

IF 5.4 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Xian Yang MBBS, Jiaxin Wang MD, Xiaofang Zhang MD, Liangyan Wu MD, Ruxin Wang MD, Jianrong Lu MBBS, Lihong Wang MD
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引用次数: 0

摘要

目的:心血管疾病(CVD)患者通常会出现肝功能异常、肝纤维化和肝硬化。肝纤维化的程度与心血管疾病的预后密切相关。然而,作为肝纤维化标志物的肝纤维化-8(FIB-8)指数与心血管疾病参与者全因死亡率之间的关系仍不清楚。本研究旨在调查 FIB-8 指数与心血管疾病患者全因死亡率之间的关系:从1999年至2018年的美国国家健康与营养调查(NHANES)中共招募了1727名心血管疾病美国参与者。最初,我们构建了加权 COX 回归模型,并进行了敏感性分析,以研究心血管疾病参与者的 FIB-8 指数与全因死亡率之间的相关性。随后,我们采用受限立方样条曲线(RCS)来直观地显示它们之间的线性关系。最后,我们对协变量进行了分层分析和交互检验,并以森林图的形式展示了结果:本研究共纳入 1727 名参与者,平均年龄为(61.68±0.47)岁,其中男性占 59.19%。在对相关协变量进行调整后,加权 COX 回归模型显示,FIB-8 指数与心血管疾病参与者全因死亡率之间的危险比(HR)和 95% 置信区间(95% CI)为 1.21(1.12,1.30)。随后进行了敏感性分析,结果保持稳定。在完全调整模型中,四分位数 3 和 4 的个体与 FIB-8 指数最低的四分位数相比具有显著的统计学差异,HR(95% CI)值分别为 1.88(1.23,2.87)和 2.17(1.33,3.53)。随后,RCS 显示 FIB-8 指数与心血管疾病参与者的全因死亡率之间存在线性关系。最后,交互检验显示,在本研究中,其他协变量与 FIB-8 指数之间没有显著的交互作用:在1999年至2018年的NHANES中,观察到FIB-8指数与心血管疾病成年参与者的全因死亡率之间存在正线性相关。我们的研究结果表明,FIB-8指数可作为评估心血管疾病人群全因死亡率的极佳指标。FIB-8指数越低,心血管疾病参与者的全因死亡率越低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The liver fibrosis-8 index is a predictor for all-cause mortality in cardiovascular disease patients: A cohort study

Aims

Participants with cardiovascular diseases (CVD) often exhibit liver function abnormalities, hepatic fibrosis and cirrhosis. The extent of liver fibrosis is closely related to the prognosis of CVD. However, the association between the liver fibrosis-8 (FIB-8) index, a marker of liver fibrosis, and all-cause mortality in CVD participants remains unclear. This study aims to investigate the relationship between the FIB-8 index and all-cause mortality among individuals with CVD.

Materials and Methods

A total of 1727 CVD American participants were enrolled from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2018. Initially, we constructed weighted COX regression models and performed sensitivity analyses to examine the correlation between the FIB-8 index and all-cause mortality in CVD participants. Subsequently, we employed restricted cubic spline (RCS) to visualize their linear relationship. Finally, the stratified analyses and interaction tests of covariates were performed and presented in the forest plot.

Results

A total of 1727 participants were included in our study, with a mean age of 61.68 ± 0.47 years, with men accounting for 59.19%. After adjustment for relevant covariables, weighted COX regression models indicated that the hazard ratio (HR) and 95% confidence interval (95% CI) for the association between the FIB-8 index and all-cause mortality in CVD participants was 1.21 (1.12, 1.30). Sensitivity analysis was then conducted, revealing that the results remained stable. In fully adjusted model, individuals in quartiles 3 and 4 demonstrated significant statistical differences compared to the lowest FIB-8 index quartile, with HR (95% CI) values of 1.88 (1.23, 2.87) and 2.17 (1.33, 3.53), respectively. Subsequently, RCS showed a linear relationship between the FIB-8 index and all-cause mortality among CVD participants. Finally, the interaction test revealed that no other covariables had significant interactions with the FIB-8 index in this study.

Conclusions

A positive and linear correlation was observed between the FIB-8 index and all-cause mortality among CVD adult participants in NHANES from 1999 to 2018. Our findings indicated that the FIB-8 index could serve as an excellent indicator for assessing all-cause mortality within the CVD population. The lower the FIB-8 index, the lower the all-cause mortality among CVD participants.

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来源期刊
Diabetes, Obesity & Metabolism
Diabetes, Obesity & Metabolism 医学-内分泌学与代谢
CiteScore
10.90
自引率
6.90%
发文量
319
审稿时长
3-8 weeks
期刊介绍: Diabetes, Obesity and Metabolism is primarily a journal of clinical and experimental pharmacology and therapeutics covering the interrelated areas of diabetes, obesity and metabolism. The journal prioritises high-quality original research that reports on the effects of new or existing therapies, including dietary, exercise and lifestyle (non-pharmacological) interventions, in any aspect of metabolic and endocrine disease, either in humans or animal and cellular systems. ‘Metabolism’ may relate to lipids, bone and drug metabolism, or broader aspects of endocrine dysfunction. Preclinical pharmacology, pharmacokinetic studies, meta-analyses and those addressing drug safety and tolerability are also highly suitable for publication in this journal. Original research may be published as a main paper or as a research letter.
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