NPR是预测代谢功能障碍相关脂肪变性肝病患者全因死亡率的独立危险因素:来自NHANES 2007-2020的证据

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Dan Ye, Xueying Ji, Yiming Ma, Jiaheng Shi, Jiaofeng Wang, Jie Chen, Xiaona Hu, Zhijun Bao
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引用次数: 0

摘要

背景:中性粒细胞相关炎症标志物(NPR、NHR、SII和SIRI)与多种代谢性疾病有关。然而,关于这些与代谢功能障碍相关的脂肪变性肝病(MASLD)和晚期肝纤维化(ALF)标志物及其对全因死亡率影响的研究仍然有限。方法:在这项历史队列研究中,分析了8051名年龄在20岁及以上的成年人的数据。采用加权逻辑回归研究中性粒细胞相关炎症标志物与MASLD和ALF的关系。非线性关联通过限制三次样条回归描述。通过受试者工作特征(ROC)曲线评估诊断效用。此外,加权Kaplan-Meier生存曲线和Cox比例风险模型用于评估全因死亡率风险。采用敏感性分析来保证研究结果的稳健性。结果:在调整混杂因素后,ln转化的NPR、NHR、SII和SIRI与MASLD的风险呈显著正相关(P < 2)。结论:中性粒细胞相关炎症标志物与MASLD和ALF独立相关。具体来说,ln转化的NHR和SII分别有望作为MASLD和ALF的诊断标记物。此外,升高的ln转化NPR与MASLD患者全因死亡风险增加独立相关,突出了这些炎症标志物在脂肪变性肝病背景下的潜在临床相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NPR is an independent risk factor for predicting all-cause mortality in patients with metabolic dysfunction-associated steatotic liver disease: evidence from NHANES 2007-2020.

Background: Neutrophil-associated inflammatory markers (NPR, NHR, SII, and SIRI) have been implicated in various metabolic diseases. However, studies on these markers with metabolic dysfunction-associated steatotic liver disease (MASLD) and advanced liver fibrosis (ALF), as well as their impact on all-cause mortality, remain limited.

Methods: In this historical cohort study, data from 8051 adults aged 20 years and older were analysed. Weighted logistic regression was used to investigate the associations of neutrophil-associated inflammatory markers with MASLD and ALF. Nonlinear associations were described via restricted cubic spline regression. The diagnostic utility was assessed via receiver operating characteristic (ROC) curves. Furthermore, weighted Kaplan‒Meier survival curves and Cox proportional hazards models were employed to assess all-cause mortality risk. Sensitivity analyses were employed to guarantee the robustness of the findings.

Results: Following adjustment for confounding factors, there was a significant positive association between the ln-transformed NPR, NHR, SII, and SIRI and the risk of MASLD (P < 0.001). Conversely, an inverse association was noted between the ln-transformed SII, SIRI and ALF (P < 0.05). Nonlinear relationships were identified between ln-transformed NPR, NHR, and SIRI and the risk of MASLD (P < 0.001), as well as between ln-transformed NPR, SII, and SIRI and the risk of ALF (P < 0.001). Furthermore, the ln-transformed NHR (cut-off value: - 2.571) exhibited the highest diagnostic accuracy for MASLD (AUC 0.71, 95% CI = 0.70, 0.72), whereas the NPR (cut-off value: - 3.857) demonstrated the highest diagnostic value for ALF (AUC 0.73, 95% CI = 0.70, 0.75). The results of the present study revealed an independent association between the ln-transformed NPR and an elevated risk of all-cause mortality in subjects diagnosed with MASLD. Subgroup analyses highlighted the underrepresentation of neutrophil-associated inflammatory markers in lean individuals with MASLD and ALF (BMI < 25 kg/m2).

Conclusions: Neutrophil-associated inflammatory markers are independently associated with MASLD and ALF. Specifically, the ln-transformed NHR and SII show promise as diagnostic markers for MASLD and ALF, respectively. Moreover, elevated ln-transformed NPR is independently associated with an increased risk of all-cause mortality in individuals with MASLD, highlighting the potential clinical relevance of these inflammatory markers in the context of steatotic liver disease.

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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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