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炎症标志物作为慢性阻塞性肺疾病急性加重(AECOPD)合并急性呼吸衰竭患者院内死亡的预测指标:来自MIMIC-IV数据库的见解

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.

作者信息

Wang Qimin, Yang Feng, Gao Lianjun, Xu Cuiping, Gao Wei

机构信息

Department of Respiratory and Critical Care Medicine, China Rehabilitation Research Center, Rehabilitation School of Capital Medical University, Beijing, China.

出版信息

J Thorac Dis. 2024 Dec 31;16(12):8250-8261. doi: 10.21037/jtd-24-1287. Epub 2024 Dec 16.

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.

摘要

背景

慢性阻塞性肺疾病急性加重期(AECOPD),尤其是合并急性呼吸衰竭(ARF)时,死亡率显著升高。本研究聚焦于慢性阻塞性肺疾病(COPD)加重期的关键炎症标志物,包括中性粒细胞与淋巴细胞比值(NLR)、乳酸与白蛋白比值(LAR)、血糖与淋巴细胞比值(GLR)、预后营养指数(PNI)、血小板与淋巴细胞比值(PLR)以及全身免疫炎症指数(SII),这些指标可通过外周血轻松测定。我们旨在探讨NLR、LAR、GLR、SII、PNI和PLR对合并ARF的AECOPD患者院内死亡率的预后价值。

方法

本分析纳入了重症监护医学信息集市IV(MIMIC-IV)数据库中的数据,涉及诊断为AECOPD和ARF的患者。该研究采用多因素逻辑回归和限制立方样条(RCS)模型来评估所选炎症标志物与院内死亡率之间的关系。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效能。

结果

该研究纳入了1209例合并ARF的AECOPD患者,其中1137例存活,72例死亡,院内死亡率为5.96%。在RCS分析中,NLR和PNI均与死亡结局呈非线性关系,拐点分别为6.66和43.54。GLR升高与死亡风险增加相关。即使在调整协变量后,这些结果依然成立。未发现SII、LAR或PLR存在显著关联。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]在预测准确性上略高于PNI(AUC =0.663;95% CI:0.557 - 0.691)和GLR(AUC =0.624;95% CI:0.557 - 0.691)。

结论

入院时的NLR、GLR和PNI对合并ARF的AECOPD患者的院内死亡率具有中等预测效用。这些发现可为探索预后生物标志物提供一些参考,并有助于临床医生在早期识别合并ARF的AECOPD患者中死亡风险升高的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9fd/11740031/ca6cbbe9d0b4/jtd-16-12-8250-f1.jpg

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