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炎症标志物在间质性肺疾病进展特征中的预测作用:一项回顾性分析

Predictive role of inflammatory markers in characterizing the progression of interstitial lung disease: a retrospective analysis.

作者信息

Tan Delun, Shang Yaxue, Wang Jing, Sheng Na

机构信息

Department of Respiratory and Critical Care Medicine, Nanjing Jiangbei Hospital Nanjing 210048, Jiangsu, China.

出版信息

Am J Transl Res. 2025 May 15;17(5):3485-3495. doi: 10.62347/JZTW5621. eCollection 2025.

DOI:10.62347/JZTW5621
PMID:40535665
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12170371/
Abstract

OBJECTIVES

To evaluate the association between inflammatory markers and interstitial lung disease (ILD) progression in order to enhance disease monitoring and risk stratification.

METHODS

This retrospective cohort study analyzed the clinical data from 172 ILD patients admitted to Nanjing Jiangbei Hospital between January 2021 and December 2023. Patients were categorized into two groups: progressive ILD (PILD; n=95) and rapidly progressive ILD (RPILD; n=77), based on changes in symptoms and pulmonary function within six months. PILD was defined by a ≥10% relative decline in predicted Forced Vital Capacity (ppFVC) or related clinical criteria. RPILD was defined by acute symptom worsening and significant pulmonary function deterioration. Inflammatory markers assessed included C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation index (SII).

RESULTS

CRP, NLR, PLR, and SII levels were significantly higher in the RPILD group, while LMR was significantly lower (all P<0.05). Multivariate logistic regression identified CRP, NLR, LMR, and SII as independent predictors of ILD progression. ROC analysis showed NLR had the highest individual predictive value (AUC=0.757). A composite model combining all five markers achieved an AUC of 0.842, indicating improved predictive accuracy.

CONCLUSIONS

Inflammatory markers, particularly NLR, are independently associated with ILD progression. A composite model incorporating multiple markers offers enhanced predictive performance, potentially supporting clinical decision-making and early intervention strategies.

摘要

目的

评估炎症标志物与间质性肺疾病(ILD)进展之间的关联,以加强疾病监测和风险分层。

方法

这项回顾性队列研究分析了2021年1月至2023年12月期间入住南京江北医院的172例ILD患者的临床资料。根据六个月内症状和肺功能的变化,将患者分为两组:进行性ILD(PILD;n = 95)和快速进行性ILD(RPILD;n = 77)。PILD定义为预测用力肺活量(ppFVC)相对下降≥10%或符合相关临床标准。RPILD定义为症状急性恶化和肺功能显著恶化。评估的炎症标志物包括C反应蛋白(CRP)、中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、淋巴细胞与单核细胞比值(LMR)和全身免疫炎症指数(SII)。

结果

RPILD组的CRP、NLR、PLR和SII水平显著更高,而LMR显著更低(均P<0.05)。多因素逻辑回归确定CRP、NLR、LMR和SII为ILD进展的独立预测因素。ROC分析显示NLR具有最高的个体预测价值(AUC = 0.757)。结合所有五个标志物的综合模型的AUC为0.842,表明预测准确性提高。

结论

炎症标志物,尤其是NLR,与ILD进展独立相关。包含多个标志物的综合模型具有更高的预测性能,可能有助于临床决策和早期干预策略。

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本文引用的文献

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