Inflammatory markers as predictors of in-hospital mortality in acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients with acute respiratory failure: insights from the MIMIC-IV database.

IF 2.1 3区 医学 Q3 RESPIRATORY SYSTEM
Journal of thoracic disease Pub Date : 2024-12-31 Epub Date: 2024-12-16 DOI:10.21037/jtd-24-1287
Qimin Wang, Feng Yang, Lianjun Gao, Cuiping Xu, Wei Gao
{"title":"Inflammatory markers as predictors of in-hospital mortality in acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients with acute respiratory failure: insights from the MIMIC-IV database.","authors":"Qimin Wang, Feng Yang, Lianjun Gao, Cuiping Xu, Wei Gao","doi":"10.21037/jtd-24-1287","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) particularly when coupled with acute respiratory failure (ARF), markedly elevates mortality rates. This investigation focuses on pivotal inflammatory markers in exacerbations of chronic obstructive pulmonary disease (COPD), including the neutrophil-to-lymphocyte ratio (NLR), lactate-to-albumin ratio (LAR), glucose-to-lymphocyte ratio (GLR), prognostic nutritional index (PNI), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), which are easily determinable from peripheral blood. We aimed to investigate the prognostic value of NLR, LAR, GLR, SII, PNI, and PLR for in-hospital mortality among AECOPD patients with ARF.</p><p><strong>Methods: </strong>This analysis encompassed data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, involving patients diagnosed with AECOPD and ARF. The study employed multivariate logistic regression and restricted cubic spline (RCS) models to evaluate the relationship between selected inflammatory markers and in-hospital mortality. The efficacy of these markers as prognostic tools was further assessed through receiver operating characteristic (ROC) curve analysis.</p><p><strong>Results: </strong>The study included 1,209 AECOPD patients with ARF, comprising 1,137 survivors and 72 fatalities, yielding an in-hospital mortality rate of 5.96%. Both NLR and PNI demonstrated non-linear relationships with mortality outcomes in RCS analysis, with inflection points at 6.66 and 43.54, respectively. Elevated GLR were linked with increased mortality risk. These results persisted even after adjusting for covariates. No significant associations were found for SII, LAR, or PLR. Notably, NLR [area under the curve (AUC) =0.684; 95% confidence interval (CI): 0.627-0.741] slightly surpassed PNI (AUC =0.663; 95% CI: 0.557-0.691) and GLR (AUC =0.624; 95% CI: 0.557-0.691) in predictive accuracy.</p><p><strong>Conclusions: </strong>NLR, GLR, and PNI on admission to hospital have moderate predictive utility for in-hospital mortality in patients with AECOPD and ARF. The findings may provide some references for exploring prognostic biomarkers and help clinicians to identify patients with AECOPD and ARF at elevated risk of mortality in an early stage.</p>","PeriodicalId":17542,"journal":{"name":"Journal of thoracic disease","volume":"16 12","pages":"8250-8261"},"PeriodicalIF":2.1000,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11740031/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of thoracic disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/jtd-24-1287","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/16 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) particularly when coupled with acute respiratory failure (ARF), markedly elevates mortality rates. This investigation focuses on pivotal inflammatory markers in exacerbations of chronic obstructive pulmonary disease (COPD), including the neutrophil-to-lymphocyte ratio (NLR), lactate-to-albumin ratio (LAR), glucose-to-lymphocyte ratio (GLR), prognostic nutritional index (PNI), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), which are easily determinable from peripheral blood. We aimed to investigate the prognostic value of NLR, LAR, GLR, SII, PNI, and PLR for in-hospital mortality among AECOPD patients with ARF.

Methods: This analysis encompassed data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, involving patients diagnosed with AECOPD and ARF. The study employed multivariate logistic regression and restricted cubic spline (RCS) models to evaluate the relationship between selected inflammatory markers and in-hospital mortality. The efficacy of these markers as prognostic tools was further assessed through receiver operating characteristic (ROC) curve analysis.

Results: The study included 1,209 AECOPD patients with ARF, comprising 1,137 survivors and 72 fatalities, yielding an in-hospital mortality rate of 5.96%. Both NLR and PNI demonstrated non-linear relationships with mortality outcomes in RCS analysis, with inflection points at 6.66 and 43.54, respectively. Elevated GLR were linked with increased mortality risk. These results persisted even after adjusting for covariates. No significant associations were found for SII, LAR, or PLR. Notably, NLR [area under the curve (AUC) =0.684; 95% confidence interval (CI): 0.627-0.741] slightly surpassed PNI (AUC =0.663; 95% CI: 0.557-0.691) and GLR (AUC =0.624; 95% CI: 0.557-0.691) in predictive accuracy.

Conclusions: NLR, GLR, and PNI on admission to hospital have moderate predictive utility for in-hospital mortality in patients with AECOPD and ARF. The findings may provide some references for exploring prognostic biomarkers and help clinicians to identify patients with AECOPD and ARF at elevated risk of mortality in an early stage.

炎症标志物作为慢性阻塞性肺疾病(AECOPD)急性加重伴急性呼吸衰竭患者住院死亡率的预测因子:来自MIMIC-IV数据库的见解
背景:慢性阻塞性肺疾病(AECOPD)急性加重,特别是合并急性呼吸衰竭(ARF)时,可显著提高死亡率。本研究的重点是慢性阻塞性肺疾病(COPD)加重的关键炎症标志物,包括中性粒细胞与淋巴细胞比率(NLR)、乳酸与白蛋白比率(LAR)、葡萄糖与淋巴细胞比率(GLR)、预后营养指数(PNI)、血小板与淋巴细胞比率(PLR)和全身免疫炎症指数(SII),这些指标很容易从外周血中确定。我们的目的是探讨NLR、LAR、GLR、SII、PNI和PLR在AECOPD合并ARF患者住院死亡率中的预后价值。方法:本分析包括重症监护医学信息市场IV (MIMIC-IV)数据库的数据,涉及诊断为AECOPD和ARF的患者。该研究采用多变量logistic回归和限制性三次样条(RCS)模型来评估选定的炎症标志物与住院死亡率之间的关系。通过受试者工作特征(ROC)曲线分析进一步评估这些标志物作为预后工具的有效性。结果:本研究纳入1209例AECOPD合并ARF患者,其中存活1137例,死亡72例,住院死亡率为5.96%。在RCS分析中,NLR和PNI均与死亡结果呈非线性关系,拐点分别为6.66和43.54。GLR升高与死亡风险增加有关。即使在调整协变量后,这些结果仍然存在。未发现SII、LAR或PLR有显著相关性。值得注意的是,NLR[曲线下面积(AUC) =0.684;95%置信区间(CI): 0.627-0.741]略高于PNI (AUC =0.663;95% CI: 0.557-0.691)和GLR (AUC =0.624;95% CI: 0.557-0.691)。结论:入院时NLR、GLR和PNI对AECOPD和ARF患者住院死亡率具有中等预测效用。研究结果可为探索预后生物标志物提供参考,帮助临床医生在早期识别AECOPD和ARF患者的死亡风险升高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of thoracic disease
Journal of thoracic disease RESPIRATORY SYSTEM-
CiteScore
4.60
自引率
4.00%
发文量
254
期刊介绍: The Journal of Thoracic Disease (JTD, J Thorac Dis, pISSN: 2072-1439; eISSN: 2077-6624) was founded in Dec 2009, and indexed in PubMed in Dec 2011 and Science Citation Index SCI in Feb 2013. It is published quarterly (Dec 2009- Dec 2011), bimonthly (Jan 2012 - Dec 2013), monthly (Jan. 2014-) and openly distributed worldwide. JTD received its impact factor of 2.365 for the year 2016. JTD publishes manuscripts that describe new findings and provide current, practical information on the diagnosis and treatment of conditions related to thoracic disease. All the submission and reviewing are conducted electronically so that rapid review is assured.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信