Xu Feng, Jiang Hui, Li Fanglan, Wen Yan, Jiang Pan, Chen Feng, Feng Yongwen
Department of Intensive Care Unit, Shenzhen Guangming District People's Hospital, Shenzhen, Guangdong, China.
Department of Pulmonary and Critical Care Medicine, Shenzhen Guangming District People's Hospital, Shenzhen, Guangdong, China.
Front Med (Lausanne). 2024 Sep 3;11:1446364. doi: 10.3389/fmed.2024.1446364. eCollection 2024.
As a novel indicator of inflammation, the relationship between the systemic immune-inflammation index (SIRI) and mortality in patients with asthma remains uncertain. Our study aimed to explore the association between SIRI and mortality in asthma patients.
Data from the National Health and Nutrition Examination Survey (NHANES) for US adults from 2001 to 2018 were included in this study. Then, we divided all patients into three groups based on SIRI tertiles and used multivariable weighted Cox regression analysis, smoothing curve fitting, survival curve analysis, and subgroup analysis to investigate the relationship between SIRI and asthma.
A total of 6,156 participants were included in the study, with each SIRI tertile consisting of 2052 individuals. Asthma patients with higher SIRI levels were older, had a higher level of education, were more likely to be married, and had a higher chance of being smokers. In Cox proportional-hazards models, the highest SIRI group showed higher hazard ratios (HRs) for all-cause mortality in individuals with asthma after adjusting for potential confounders. The restricted cubic spline analysis indicated a non-linear relationship between SIRI and all-cause mortality. The Kaplan-Meier survival curves showed that patients with higher SIRI levels had a higher risk of all-cause mortality. Subgroup analyses revealed SIRI's association with all-cause mortality across various demographics, including age, sex, race, education levels, smoking status, and marital status.
Our study provides evidence for the relationship between SIRI and mortality in asthma patients. SIRI may potentially serve as a predictive tool for evaluating asthma mortality rates.
作为一种新型炎症指标,全身免疫炎症指数(SIRI)与哮喘患者死亡率之间的关系仍不明确。我们的研究旨在探讨SIRI与哮喘患者死亡率之间的关联。
本研究纳入了2001年至2018年美国成年人的国家健康与营养检查调查(NHANES)数据。然后,我们根据SIRI三分位数将所有患者分为三组,并使用多变量加权Cox回归分析、平滑曲线拟合、生存曲线分析和亚组分析来研究SIRI与哮喘之间的关系。
本研究共纳入6156名参与者,每个SIRI三分位数组包含2052人。SIRI水平较高的哮喘患者年龄较大、教育程度较高、结婚可能性更大且吸烟几率更高。在Cox比例风险模型中,在调整潜在混杂因素后,最高SIRI组的哮喘患者全因死亡率的风险比(HRs)更高。受限立方样条分析表明SIRI与全因死亡率之间存在非线性关系。Kaplan-Meier生存曲线显示,SIRI水平较高的患者全因死亡率风险更高。亚组分析揭示了SIRI与包括年龄、性别、种族、教育水平、吸烟状况和婚姻状况在内的各种人口统计学特征的全因死亡率之间的关联。
我们的研究为SIRI与哮喘患者死亡率之间的关系提供了证据。SIRI可能潜在地作为评估哮喘死亡率的预测工具。