Lymphocyte-to-high-density lipoprotein ratio and mortality in asthma patients: a novel immunoinflammatory biomarker with nonlinear association.

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Frontiers in Medicine Pub Date : 2025-06-13 eCollection Date: 2025-01-01 DOI:10.3389/fmed.2025.1553188
Tu-Lei Tian, Guan-Wei Wu, Mei-Ling Xie, Xiang-Kun Qu, Xiao-Tong Wang, Chang-Lu Sun
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引用次数: 0

Abstract

Background: The lymphocyte-to-high-density lipoprotein ratio (LHR), a novel biomarker reflecting systemic inflammation and immune status, has been widely studied in various diseases. However, its association with mortality risk among asthma patients remains unexplored.

Methods: This study utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999-2018, including 5,323 adult asthma patients. Mortality outcomes were ascertained through linkage with the National Death Index (NDI) up to December 31, 2019. Cox proportional hazards models and Fine-Gray competing risk models were employed to examine the association between LHR and mortality risks. Dose-response relationships were assessed using restricted cubic spline analyses.

Results: Over a mean follow-up period of 106.95 months, 724 all-cause deaths (13.6%) were recorded. After multivariable adjustment, a one-unit increase in log-transformed LHR was associated with reduced risks of mortality: 18% for all-cause (HR = 0.82, 95% CI: 0.74-0.91), 21% for cardiovascular disease (CVD) (HR = 0.79, 95% CI: 0.65-0.96), and 41% for chronic lower respiratory disease (CLRD) (HR = 0.59, 95% CI: 0.45-0.77). Restricted cubic spline analyses showed an L-shaped association of LHR with all-cause and CLRD mortality, with inflection points at 1.78 and 1.52, respectively. For CVD mortality, a linear association was observed. Competing risk models further confirmed the association of LHR with reduced CLRD mortality (SHR = 0.64, 95% CI: 0.46-0.88), while the association with CVD mortality was no longer significant (SHR = 0.85, 95% CI: 0.70-1.03).

Conclusion: LHR is nonlinearly associated with all-cause and CLRD mortality and shows a significant inverse association with CLRD mortality risk. These findings were further validated using competing risk models, highlighting the robustness of the results.

哮喘患者淋巴细胞与高密度脂蛋白比值与死亡率:一种非线性关联的新型免疫炎症生物标志物。
背景:淋巴细胞与高密度脂蛋白比值(LHR)是一种反映全身炎症和免疫状态的新型生物标志物,在各种疾病中得到了广泛的研究。然而,它与哮喘患者死亡风险的关系仍未被探索。方法:本研究利用1999年至2018年国家健康与营养检查调查(NHANES)的数据,包括5323名成年哮喘患者。通过与截至2019年12月31日的国家死亡指数(NDI)联系确定死亡率结果。采用Cox比例风险模型和Fine-Gray竞争风险模型检验LHR与死亡风险之间的关系。使用限制三次样条分析评估剂量-反应关系。结果:在平均106.95 个月的随访期间,记录了724例全因死亡(13.6%)。多变量调整后,log-transformed LHR每增加一个单位与死亡风险降低相关:全因死亡率为18% (HR = 0.82,95% CI: 0.74-0.91),心血管疾病(CVD)为21% (HR = 0.79,95% CI: 0.65-0.96),慢性下呼吸道疾病(CLRD)为41% (HR = 0.59,95% CI: 0.45-0.77)。限制性三次样条分析显示,LHR与全因死亡率和CLRD死亡率呈l型相关,拐点分别为1.78和1.52。对于心血管疾病死亡率,观察到线性关联。相互竞争的风险模型进一步证实了LHR与CLRD死亡率降低的相关性(SHR = 0.64,95% CI: 0.46-0.88),而与CVD死亡率的相关性不再显著(SHR = 0.85,95% CI: 0.70-1.03)。结论:LHR与全因死亡率和CLRD死亡率呈非线性相关,与CLRD死亡率风险呈显著负相关。使用竞争风险模型进一步验证了这些发现,突出了结果的稳健性。
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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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