Chen Xueqing, Liu Shiman, Luo Yuanming, Wei Hailong, Ge Huiqing, Liu Huiguo, Zhang Jianchu, Li Xianhua, Pan Pinhua, Xie Xiufang, Yi Mengqiu, Cheng Lina, Zhou Hui, Zhang Jiarui, Peng Lige, Pu Jiaqi, Zeng Jiaxin, Yi Qun, Zhou Haixia
Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China,
West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China.
Respiration. 2025 Apr 15:1-19. doi: 10.1159/000545267.
Acute exacerbations of chronic obstructive pulmonary disease (AECOPDs) are associated with increased morbidity and mortality. The novel inflammatory biomarker, systemic immune-inflammation index (SII), may have prognostic value. This study aimed to assess the association between SII and short-term and long-term adverse outcomes among AECOPD inpatients.
This was a multicenter, retrospective analysis of a prospectively collected cohort of AECOPD inpatients. We initially compared SII and other clinical characteristics between survivors and non-survivors during hospitalization, adjusting for primary comorbidities using propensity score matching (PSM). We assessed the short-term and long-term adverse outcomes, particularly focusing on in-hospital mortality and 2-year all-cause mortality, across different levels of SII. Multivariate Cox analysis was employed to evaluate the associations of SII, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) with in-hospital mortality of AECOPD patients. Restricted cubic spline (RCS) models investigated the nonlinear relationships between these biomarkers and in-hospital mortality. To compare the predictive values of SII, NLR, and PLR for in-hospital mortality, receiver operating characteristic (ROC) curve analysis was performed. Subgroup analysis was carried out to further determine the predictive capacity of SII among diverse subgroups.
The study included 12,551 AECOPD inpatients, among whom 180 (1.4%) died in hospital. Whether before or after PSM adjusting for comorbidities, the levels of SII, NLR, and PLR in non-survivors were significantly higher than those in survivors (all p < 0.001). Elevated SII levels (divided into quartiles) were associated with increased in-hospital mortality (Q1 vs. Q2 vs. Q3 vs. Q4: 0.6% vs. 0.8% vs. 1.5% vs. 2.8%) and 2-year all-cause mortality (15.4% vs. 22.6% vs. 22.2% vs. 27.8%), as well as other adverse outcomes (all p < 0.05). After adjusting for covariates, higher levels of SII and NLR consistently remained associated with increased in-hospital mortality. RCS analysis revealed a consistent linear relationship between SII and in-hospital mortality, while NLR and PLR exhibited nonlinear relationships. Furthermore, ROC curve analysis indicated that SII showed inferiority to NLR but superiority to PLR in predicting in-hospital mortality among AECOPD patients (area under the curve for SII vs. NLR vs. PLR: 0.670 vs. 0.731 vs. 0.609). Subgroup analysis revealed that the association between SII and in-hospital mortality varied across different subgroups.
Elevated SII is associated with increased risks of short-term and long-term adverse outcomes in AECOPD inpatients, making it potential prognostic factor used to identify high-risk patients and guide the management of AECOPD.
慢性阻塞性肺疾病急性加重(AECOPD)与发病率和死亡率的增加相关。新型炎症生物标志物——全身免疫炎症指数(SII)可能具有预后价值。本研究旨在评估AECOPD住院患者中SII与短期和长期不良结局之间的关联。
这是一项对前瞻性收集的AECOPD住院患者队列进行的多中心回顾性分析。我们最初比较了住院期间幸存者和非幸存者之间的SII及其他临床特征,并使用倾向评分匹配(PSM)对主要合并症进行校正。我们评估了不同SII水平下的短期和长期不良结局,尤其关注住院死亡率和2年全因死亡率。采用多变量Cox分析评估SII、中性粒细胞与淋巴细胞比值(NLR)和血小板与淋巴细胞比值(PLR)与AECOPD患者住院死亡率之间的关联。限制性立方样条(RCS)模型研究了这些生物标志物与住院死亡率之间的非线性关系。为比较SII、NLR和PLR对住院死亡率的预测价值,进行了受试者操作特征(ROC)曲线分析。进行亚组分析以进一步确定SII在不同亚组中的预测能力。
该研究纳入了12551例AECOPD住院患者,其中180例(1.4%)在医院死亡。无论在PSM校正合并症之前还是之后,非幸存者的SII、NLR和PLR水平均显著高于幸存者(所有p<0.001)。SII水平升高(分为四分位数)与住院死亡率增加(Q1 vs. Q2 vs. Q3 vs. Q4:0.6% vs. 0.8% vs. 1.5% vs. 2.8%)、2年全因死亡率增加(15.4% vs. 22.6% vs. 22.2% vs. 27.8%)以及其他不良结局相关(所有p<0.05)。在校正协变量后,较高水平的SII和NLR始终与住院死亡率增加相关。RCS分析显示SII与住院死亡率之间存在一致的线性关系,而NLR和PLR呈现非线性关系。此外,ROC曲线分析表明,在预测AECOPD患者住院死亡率方面SII劣于NLR但优于PLR(SII、NLR、PLR的曲线下面积分别为0.670、0.731、0.609)。亚组分析显示SII与住院死亡率之间的关联在不同亚组中有所不同。
SII升高与AECOPD住院患者短期和长期不良结局风险增加相关,使其成为用于识别高危患者和指导AECOPD管理的潜在预后因素。