• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

C反应蛋白与血清白蛋白比值作为预测慢性阻塞性肺疾病患者预后的新型生物标志物

C-Reactive Protein to Serum Albumin Ratio as a Novel Biomarker to Predict Prognosis in Patients with Chronic Obstructive Pulmonary Disease.

作者信息

Li Herui, Ma Yiming, Xue Jin, He Chenjie, Zhan Zijie, Liu Xiangming, Chen Ping, Cai Shan, Zeng Yuqin, Wu Qian, Chen Yan

出版信息

Clin Lab. 2021 Mar 1;67(3). doi: 10.7754/Clin.Lab.2020.200630.

DOI:10.7754/Clin.Lab.2020.200630
PMID:33739045
Abstract

BACKGROUND

This study aimed to evaluate the C-reactive protein to serum albumin ratio (CAR) to predict prognosis in COPD patients with acute exacerbations (AECOPD).

METHODS

A retrospective cohort study of AECOPD patients, admitted to a large tertiary hospital between January 2017 and June 2018, was conducted. Univariate and multivariate logistic regression models were built to assess the relationship between variables and different clinical outcomes in one-year follow up. In addition, Kaplan-Meier method was used to estimate the relationship between CAR and the time to first rehospitalization due to acute exacerbation of COPD.

RESULTS

A total of 167 AECOPD patients were included in this study, with an overall age of 68.5 ± 9.4 years. Both univariate and multivariate logistic regression analysis demonstrated that CAR at admission was significantly associated with rehospitalization and frequent exacerbations in COPD patients (p < 0.05). Kaplan-Meier curve showed that the rehospitalization event-free rate was significantly higher in the low CAR group than the high CAR group (p < 0.01).

CONCLUSIONS

As an easily available parameter, CAR at admission can be an independent predictor for rehospitalization and frequent exacerbations in COPD patients with acute exacerbations.

摘要

背景

本研究旨在评估C反应蛋白与血清白蛋白比值(CAR)对慢性阻塞性肺疾病急性加重期(AECOPD)患者预后的预测价值。

方法

对2017年1月至2018年6月入住一家大型三级医院的AECOPD患者进行回顾性队列研究。建立单因素和多因素逻辑回归模型,以评估变量与一年随访中不同临床结局之间的关系。此外,采用Kaplan-Meier法评估CAR与因COPD急性加重首次再入院时间之间的关系。

结果

本研究共纳入167例AECOPD患者,平均年龄为68.5±9.4岁。单因素和多因素逻辑回归分析均显示,入院时的CAR与COPD患者的再入院和频繁加重显著相关(p<0.05)。Kaplan-Meier曲线显示,低CAR组的无再入院事件发生率显著高于高CAR组(p<0.01)。

结论

作为一个易于获得的参数,入院时的CAR可作为AECOPD患者再入院和频繁加重的独立预测指标。

相似文献

1
C-Reactive Protein to Serum Albumin Ratio as a Novel Biomarker to Predict Prognosis in Patients with Chronic Obstructive Pulmonary Disease.C反应蛋白与血清白蛋白比值作为预测慢性阻塞性肺疾病患者预后的新型生物标志物
Clin Lab. 2021 Mar 1;67(3). doi: 10.7754/Clin.Lab.2020.200630.
2
Predictors of exacerbations in chronic obstructive pulmonary disease--results from the Bergen COPD cohort study.慢性阻塞性肺疾病急性加重的预测因素——卑尔根慢性阻塞性肺疾病队列研究结果
PLoS One. 2014 Oct 3;9(10):e109721. doi: 10.1371/journal.pone.0109721. eCollection 2014.
3
The utility of inflammatory markers to predict readmissions and mortality in COPD cases with or without eosinophilia.炎症标志物在预测伴或不伴嗜酸性粒细胞增多的慢性阻塞性肺疾病(COPD)病例再入院率和死亡率方面的效用。
Int J Chron Obstruct Pulmon Dis. 2015 Nov 11;10:2469-78. doi: 10.2147/COPD.S90330. eCollection 2015.
4
Prognostic role of D-dimer for in-hospital and 1-year mortality in exacerbations of COPD.D-二聚体对慢性阻塞性肺疾病急性加重期患者住院及1年死亡率的预后作用
Int J Chron Obstruct Pulmon Dis. 2016 Oct 31;11:2729-2736. doi: 10.2147/COPD.S112882. eCollection 2016.
5
General practitioner use of a C-reactive protein point-of-care test to help target antibiotic prescribing in patients with acute exacerbations of chronic obstructive pulmonary disease (the PACE study): study protocol for a randomised controlled trial.全科医生使用C反应蛋白即时检验来指导慢性阻塞性肺疾病急性加重患者的抗生素处方(PACE研究):一项随机对照试验的研究方案
Trials. 2017 Sep 29;18(1):442. doi: 10.1186/s13063-017-2144-8.
6
Serum Endostatin Is a Novel Marker for COPD Associated with Lower Lung Function, Exacerbation and Systemic Inflammation.血清内皮抑素是一种新型 COPD 标志物,与较低的肺功能、加重和全身炎症相关。
Int J Chron Obstruct Pulmon Dis. 2020 Feb 25;15:397-407. doi: 10.2147/COPD.S234760. eCollection 2020.
7
Progranulin is a novel biomarker for predicting an acute exacerbation of chronic obstructive pulmonary disease.颗粒蛋白前体是预测慢性阻塞性肺疾病急性加重的一种新型生物标志物。
Clin Respir J. 2018 Oct;12(10):2525-2533. doi: 10.1111/crj.12952. Epub 2018 Sep 23.
8
Prognostic role of neutrophil-lymphocyte ratio and platelet-lymphocyte ratio for hospital mortality in patients with AECOPD.中性粒细胞与淋巴细胞比值及血小板与淋巴细胞比值对慢性阻塞性肺疾病急性加重患者院内死亡率的预后作用
Int J Chron Obstruct Pulmon Dis. 2017 Aug 3;12:2285-2290. doi: 10.2147/COPD.S141760. eCollection 2017.
9
Diagnostic and Prognostic Value of Inflammatory Parameters Including Neopterin in the Setting of Pneumonia, COPD, and Acute Exacerbations.包括新蝶呤在内的炎症参数在肺炎、慢性阻塞性肺疾病及急性加重期的诊断和预后价值
COPD. 2017 Jun;14(3):298-303. doi: 10.1080/15412555.2016.1266317. Epub 2017 Feb 28.
10
Comparison of diagnostic values of procalcitonin, C-reactive protein and blood neutrophil/lymphocyte ratio levels in predicting bacterial infection in hospitalized patients with acute exacerbations of COPD.降钙素原、C反应蛋白及血中性粒细胞/淋巴细胞比值水平对慢性阻塞性肺疾病急性加重期住院患者细菌感染预测的诊断价值比较
Wien Klin Wochenschr. 2015 Oct;127(19-20):756-63. doi: 10.1007/s00508-014-0690-6. Epub 2015 Jan 14.

引用本文的文献

1
Roles of C-reactive protein and its composite index in predicting acute exacerbation of bronchiectasis.C反应蛋白及其综合指数在预测支气管扩张急性加重中的作用。
Eur J Med Res. 2025 Aug 25;30(1):797. doi: 10.1186/s40001-025-03090-5.
2
The exacerbating effects of stable pulmonary tuberculosis on the deterioration of inflammatory response, coagulation function, and pulmonary function in COPD: A propensity score-matched retrospective study.稳定期肺结核对慢性阻塞性肺疾病炎症反应、凝血功能及肺功能恶化的加剧作用:一项倾向评分匹配的回顾性研究。
J Clin Tuberc Other Mycobact Dis. 2025 Jun 18;40:100545. doi: 10.1016/j.jctube.2025.100545. eCollection 2025 Aug.
3
Association Between Neutrophil Percentage to Serum Albumin Ratio and in-Hospital Mortality of Patients with Chronic Obstructive Pulmonary Disease in Intensive Care Unit: A Retrospective Cohort Study.
中性粒细胞百分比与血清白蛋白比值与重症监护病房慢性阻塞性肺疾病患者院内死亡率的关系:一项回顾性队列研究
Int J Chron Obstruct Pulmon Dis. 2025 Apr 26;20:1227-1237. doi: 10.2147/COPD.S508964. eCollection 2025.
4
Serum C-reactive protein to albumin ratio as a potential risk indicator of pneumonia caused by : a multicenter retrospective study.血清 C 反应蛋白与白蛋白比值作为 : 一项多中心回顾性研究肺炎潜在风险指标。
Front Cell Infect Microbiol. 2024 Jun 26;14:1371625. doi: 10.3389/fcimb.2024.1371625. eCollection 2024.
5
A predictive model for frequent exacerbator phenotype of acute exacerbations of chronic obstructive pulmonary disease.慢性阻塞性肺疾病急性加重频繁加重者表型的预测模型。
J Thorac Dis. 2023 Dec 30;15(12):6502-6514. doi: 10.21037/jtd-23-931. Epub 2023 Dec 21.
6
Prognostic Usefulness of Basic Analytical Data in Chronic Obstructive Pulmonary Disease Exacerbation.基础分析数据在慢性阻塞性肺疾病急性加重期的预后价值
Open Respir Arch. 2023 Sep 20;5(4):100271. doi: 10.1016/j.opresp.2023.100271. eCollection 2023 Oct-Dec.
7
The prognostic role of C-reactive protein to albumin ratio and anti-MDA5 antibody-positive in idiopathic inflammatory myopathy: a retrospective study.C 反应蛋白与白蛋白比值和抗 MDA5 抗体阳性在特发性炎性肌病中的预后作用:一项回顾性研究。
Sci Rep. 2023 Mar 8;13(1):3863. doi: 10.1038/s41598-023-30595-y.
8
Prediction of individual mortality risk among patients with chronic obstructive pulmonary disease: a convenient, online, individualized, predictive mortality risk tool based on a retrospective cohort study.预测慢性阻塞性肺疾病患者的个体死亡风险:一种基于回顾性队列研究的便捷、在线、个体化、预测死亡风险工具。
PeerJ. 2022 Dec 6;10:e14457. doi: 10.7717/peerj.14457. eCollection 2022.
9
MAFLD associated with COPD via systemic inflammation independent of aging and smoking in men.在男性中,MAFLD通过全身性炎症与慢性阻塞性肺疾病(COPD)相关,且独立于衰老和吸烟因素。
Diabetol Metab Syndr. 2022 Aug 16;14(1):115. doi: 10.1186/s13098-022-00887-w.
10
Endothelial Microparticles Derived from Primary Pulmonary Microvascular Endothelial Cells Mediate Lung Inflammation in Chronic Obstructive Pulmonary Disease by Transferring microRNA-126.源自原代肺微血管内皮细胞的内皮微粒通过转运微小RNA-126介导慢性阻塞性肺疾病中的肺部炎症。
J Inflamm Res. 2022 Feb 28;15:1399-1411. doi: 10.2147/JIR.S349818. eCollection 2022.