{"title":"炎症标志物在表征间质性肺疾病进展中的预测作用:回顾性分析","authors":"Delun Tan, Yaxue Shang, Jing Wang, Na Sheng","doi":"10.62347/JZTW5621","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the association between inflammatory markers and interstitial lung disease (ILD) progression in order to enhance disease monitoring and risk stratification.</p><p><strong>Methods: </strong>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).</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"17 5","pages":"3485-3495"},"PeriodicalIF":1.7000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12170371/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predictive role of inflammatory markers in characterizing the progression of interstitial lung disease: a retrospective analysis.\",\"authors\":\"Delun Tan, Yaxue Shang, Jing Wang, Na Sheng\",\"doi\":\"10.62347/JZTW5621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To evaluate the association between inflammatory markers and interstitial lung disease (ILD) progression in order to enhance disease monitoring and risk stratification.</p><p><strong>Methods: </strong>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).</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":7731,\"journal\":{\"name\":\"American journal of translational research\",\"volume\":\"17 5\",\"pages\":\"3485-3495\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12170371/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of translational research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.62347/JZTW5621\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of translational research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.62347/JZTW5621","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Predictive role of inflammatory markers in characterizing the progression of interstitial lung disease: a retrospective analysis.
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.