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成年哮喘患者全身免疫炎症指数与长期全因死亡率及特定病因死亡率的关系:一项基于人群的研究

Relationship between systemic immune-inflammation index and long-term all-cause and cause-specific mortality among adult asthma patients: a population-based study.

作者信息

Luo Zhuanbo, Chen Shiyu, Zhu Ning, Qiu Feng, Huang Weina, Cao Chao

机构信息

Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, 59 Liuting Road, Ningbo, Zhejiang, 315010, China.

出版信息

BMC Pulm Med. 2024 Dec 21;24(1):629. doi: 10.1186/s12890-024-03452-5.

DOI:10.1186/s12890-024-03452-5
PMID:39709369
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11663310/
Abstract

BACKGROUND

Persistent inflammation in the airways is a hallmark of asthma, and researchers have extensively explored various inflammatory indicators that contribute to the condition. Despite this, there is limited research on the relationship between the systemic immune-inflammation index (SII), a novel marker of inflammation, and overall mortality rates as well as mortality rates due to specific causes in individuals with asthma.

METHODS

We analyzed data from the National Health and Nutrition Examination Survey (NHANES) covering a 20-year period, from 1999 to 2018. To examine the association between SII and mortality rates in asthma patients, we used a combination of statistical methods, including weighted Kaplan-Meier analysis and multivariate-adjusted Cox analysis. Additionally, we applied restricted cubic spline (RCS) analysis to investigate the potential non-linear relationship between these variables. To further validate our findings, we performed subgroup and sensitivity analyses to ensure the reliability of the results.

RESULTS

This study analyzed data from 5,384 individuals with asthma, finding a link between increased SII levels and a higher risk of death from all-cause, cardiovascular disease and respiratory disease, but no association with cancer mortality. There were J-shaped non-linear relationships between SII and all-cause, cardiovascular and respiratory diseases mortality in asthma patients. The inflection points were 326, 350 and 355, respectively. Below these inflection points, each 100-unit increase in SII was associated with a decrease in mortality by 8%, 11% and 10%, while above these thresholds, mortality rates increased by 4%, 4%, and 3%, respectively. Subgroup analyses showed that SII was a significant predictor of all-cause mortality across various subgroups, and sensitivity analyses confirmed these findings, with the highest SII group consistently showing higher mortality rates for all-cause, cardiovascular, and respiratory disease mortality in the fully adjusted model.

CONCLUSIONS

Our study initially demonstrated a strong link between elevated SII levels and a higher risk of death from all-cause, cardiovascular disease, and respiratory disease in individuals with asthma. Furthermore, our analysis showed that the relationship between SII and mortality rates in asthma patients followed a non-linear, J-shaped pattern for all-cause, cardiovascular, and respiratory disease mortality.

CLINICAL TRIAL NUMBER

Clinical trial number not applicable.

摘要

背景

气道持续性炎症是哮喘的一个标志,研究人员广泛探索了导致该病症的各种炎症指标。尽管如此,关于全身免疫炎症指数(SII)这一新型炎症标志物与哮喘患者的总体死亡率以及特定病因死亡率之间的关系,研究仍然有限。

方法

我们分析了来自1999年至2018年这20年期间的美国国家健康与营养检查调查(NHANES)的数据。为了研究SII与哮喘患者死亡率之间的关联,我们使用了多种统计方法,包括加权Kaplan-Meier分析和多变量调整Cox分析。此外,我们应用受限立方样条(RCS)分析来研究这些变量之间潜在的非线性关系。为了进一步验证我们的发现,我们进行了亚组分析和敏感性分析,以确保结果的可靠性。

结果

本研究分析了5384例哮喘患者的数据,发现SII水平升高与全因、心血管疾病和呼吸系统疾病死亡风险增加之间存在关联,但与癌症死亡率无关。哮喘患者中,SII与全因、心血管和呼吸系统疾病死亡率之间存在J形非线性关系。拐点分别为326、350和355。在这些拐点以下,SII每增加100个单位,死亡率分别降低8%、11%和10%,而在这些阈值以上,死亡率分别增加4%、4%和3%。亚组分析表明,SII是各亚组全因死亡率的重要预测指标,敏感性分析证实了这些发现,在完全调整模型中,SII最高组的全因、心血管和呼吸系统疾病死亡率始终较高。

结论

我们的研究初步证明,哮喘患者中SII水平升高与全因、心血管疾病和呼吸系统疾病死亡风险增加之间存在密切关联。此外,我们的分析表明,SII与哮喘患者死亡率之间的关系在全因、心血管和呼吸系统疾病死亡率方面呈非线性J形模式。

临床试验编号

不适用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9efc/11663310/9e1f54556b6d/12890_2024_3452_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9efc/11663310/5c5dbe962f60/12890_2024_3452_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9efc/11663310/b9ae9a970bf1/12890_2024_3452_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9efc/11663310/9e1f54556b6d/12890_2024_3452_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9efc/11663310/5c5dbe962f60/12890_2024_3452_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9efc/11663310/b9ae9a970bf1/12890_2024_3452_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9efc/11663310/9e1f54556b6d/12890_2024_3452_Fig3_HTML.jpg

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