• 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

基于多种生物学参数鉴别渗出性胸腔积液。

Discrimination of exudative pleural effusions based on multiple biological parameters.

作者信息

Daniil Z D, Zintzaras E, Kiropoulos T, Papaioannou A I, Koutsokera A, Kastanis A, Gourgoulianis K I

机构信息

Department of Respiratory Medicine, University of Thessaly School of Medicine, Larissa, Greece.

出版信息

Eur Respir J. 2007 Nov;30(5):957-64. doi: 10.1183/09031936.00126306. Epub 2007 Aug 9.

DOI:10.1183/09031936.00126306
PMID:17690119
Abstract

Pleural effusion is a common complication of various diseases. Conventional methods are not always capable of establishing the cause of pleural effusion, so alternative tests are needed. The aim of this study was to explore means of discriminating between different pleural effusion groups, malignant, parapneumonic and tuberculous, based on the combined function of seven biological markers. Adenosine deaminase (ADA), interferon-gamma, C-reactive protein (CRP), carcinoembryonic antigen, interleukin-6, tumour necrosis factor-alpha and vascular endothelial growth factor concentration levels were measured in pleural fluid from 45 patients with malignant, 15 with parapneumonic and 12 with tuberculous pleural effusion. Receiver operating characteristic curve analysis, multinomial logit modelling and canonical variate analysis were applied to discriminate the pleural effusion groups. The three groups could be discriminated successfully using the measured markers. The most important parameters for discrimination were ADA and CRP concentration levels. An individual with an ADA concentration level of >45 U.L(-1) and a CRP concentration of <4 mg.dL(-1) was more likely to belong to the tuberculous pleural effusion group, whereas one with an ADA concentration level of <40 U.L(-1) and a CRP concentration of >6 mg.dL(-1) was more likely to belong to the parapneumonic pleural effusion group, and one with a CRP concentration of <4 mg.dL(-1) to the malignant pleural effusion group. The combination of adenosine deaminase and C-reactive protein levels might be sufficient for discriminating between the three different groups of exudative pleural effusion: malignant, tuberculous and parapneumonic.

摘要

胸腔积液是多种疾病的常见并发症。传统方法并不总是能够确定胸腔积液的病因,因此需要其他检测方法。本研究的目的是基于七种生物标志物的联合作用,探索区分不同胸腔积液组(恶性、肺炎旁和结核性)的方法。对45例恶性胸腔积液患者、15例肺炎旁胸腔积液患者和12例结核性胸腔积液患者的胸腔积液中的腺苷脱氨酶(ADA)、干扰素-γ、C反应蛋白(CRP)、癌胚抗原、白细胞介素-6、肿瘤坏死因子-α和血管内皮生长因子浓度水平进行了测量。应用受试者工作特征曲线分析、多项logit模型和典型变量分析来区分胸腔积液组。使用所测标志物能够成功区分这三组。区分的最重要参数是ADA和CRP浓度水平。ADA浓度水平>45 U.L(-1)且CRP浓度<4 mg.dL(-1)的个体更可能属于结核性胸腔积液组,而ADA浓度水平<40 U.L(-1)且CRP浓度>6 mg.dL(-1)的个体更可能属于肺炎旁胸腔积液组,CRP浓度<4 mg.dL(-1)的个体更可能属于恶性胸腔积液组。腺苷脱氨酶和C反应蛋白水平的联合可能足以区分渗出性胸腔积液的三种不同类型:恶性、结核性和肺炎旁。

相似文献

1
Discrimination of exudative pleural effusions based on multiple biological parameters.基于多种生物学参数鉴别渗出性胸腔积液。
Eur Respir J. 2007 Nov;30(5):957-64. doi: 10.1183/09031936.00126306. Epub 2007 Aug 9.
2
Pleural fluid adenosine deaminase/serum C-reactive protein ratio for the differentiation of tuberculous and parapneumonic effusions with neutrophilic predominance and high adenosine deaminase levels.用于鉴别以中性粒细胞为主且腺苷脱氨酶水平高的结核性和类肺炎性胸腔积液的胸腔积液腺苷脱氨酶/血清C反应蛋白比值
Infection. 2017 Feb;45(1):59-65. doi: 10.1007/s15010-016-0928-5. Epub 2016 Aug 3.
3
[Adenosine deaminase activity in tuberculous and malignant pleural effusions].[结核性和恶性胸腔积液中的腺苷脱氨酶活性]
Pneumonol Alergol Pol. 2006;74(1):5-9.
4
Cytokines in pleural liquid for diagnosis of tuberculous pleurisy.用于诊断结核性胸膜炎的胸腔积液中的细胞因子。
Respir Med. 2001 Jul;95(7):577-81. doi: 10.1053/rmed.2001.1103.
5
[Clinical investigation of the diagnostic value of interferon-gamma, interleukin-12 and adenosine deaminase isoenzyme in tuberculous pleurisy].[干扰素-γ、白细胞介素-12及腺苷脱氨酶同工酶在结核性胸膜炎诊断价值中的临床研究]
Zhonghua Jie He He Hu Xi Za Zhi. 2004 Jul;27(7):435-8.
6
Acute phase markers for the differentiation of infectious and malignant pleural effusions.用于鉴别感染性和恶性胸腔积液的急性期标志物。
Respir Med. 2007 May;101(5):910-8. doi: 10.1016/j.rmed.2006.09.019. Epub 2007 Jan 31.
7
Predicting malignant and tuberculous pleural effusions through demographics and pleural fluid analysis of patients.通过患者的人口统计学特征和胸腔积液分析预测恶性和结核性胸腔积液。
Clin Respir J. 2015 Apr;9(2):203-13. doi: 10.1111/crj.12125. Epub 2014 Mar 20.
8
Use of pleural fluid C-reactive protein in laboratory diagnosis of pleural effusions.胸腔积液中C反应蛋白在胸腔积液实验室诊断中的应用。
Eur J Med. 1992 Jul-Aug;1(4):201-7.
9
[Clinical significance of cytokine measurement in pleural effusion].[胸腔积液中细胞因子检测的临床意义]
Kekkaku. 1997 Oct;72(10):565-72.
10
Pleural adenosine deaminase in the separation of transudative and exudative pleural effusions.胸腔积液中腺苷脱氨酶在漏出液和渗出液鉴别中的作用
Clin Biochem. 2005 Dec;38(12):1066-70. doi: 10.1016/j.clinbiochem.2005.07.009. Epub 2005 Oct 13.

引用本文的文献

1
Diagnostic Efficacy of C-Reactive Protein in Differentiating Various Causes of Exudative Pleural Effusion: Disease Research Should Not Be Exclusive to the Wealthy.C反应蛋白在鉴别渗出性胸腔积液各种病因中的诊断效能:疾病研究不应只为富人服务。
Adv Respir Med. 2025 Aug 5;93(4):29. doi: 10.3390/arm93040029.
2
A scoring model based on the pleural effusion adenosine deaminase-to-serum C-reactive protein ratio for differentiating tuberculous pleural effusion from non-tuberculous benign pleural effusion.一种基于胸腔积液腺苷脱氨酶与血清C反应蛋白比值的评分模型,用于鉴别结核性胸腔积液与非结核性良性胸腔积液。
BMC Pulm Med. 2025 Mar 28;25(1):139. doi: 10.1186/s12890-025-03593-1.
3
Vascular endothelial growth factor levels in tuberculosis: A systematic review and meta-analysis.
结核中的血管内皮生长因子水平:系统评价和荟萃分析。
PLoS One. 2022 May 25;17(5):e0268543. doi: 10.1371/journal.pone.0268543. eCollection 2022.
4
Investigating the appropriate adenosine deaminase cutoff value for the diagnosis of tuberculous pleural effusion in a country with decreasing TB burden.探讨在结核病负担下降的国家中,用于诊断结核性胸腔积液的合适腺苷脱氨酶截断值。
Sci Rep. 2022 May 9;12(1):7586. doi: 10.1038/s41598-022-11460-w.
5
Classification of pleural effusions using deep learning visual models: contrastive-loss.基于深度学习视觉模型的胸腔积液分类:对比损失。
Sci Rep. 2022 Apr 1;12(1):5532. doi: 10.1038/s41598-022-09550-w.
6
Th17 cells and their related cytokines: vital players in progression of malignant pleural effusion.Th17 细胞及其相关细胞因子:恶性胸腔积液进展中的关键参与者。
Cell Mol Life Sci. 2022 Mar 17;79(4):194. doi: 10.1007/s00018-022-04227-z.
7
A meta-analysis of Th1 and Th2 cytokine profiles differentiating tuberculous from malignant pleural effusion.一项区分结核性和恶性胸腔积液的 Th1 和 Th2 细胞因子特征的荟萃分析。
Sci Rep. 2022 Feb 17;12(1):2743. doi: 10.1038/s41598-022-06685-8.
8
Single-cell immune profiling reveals functional diversity of T cells in tuberculous pleural effusion.单细胞免疫谱分析揭示结核性胸腔积液中 T 细胞的功能多样性。
J Exp Med. 2022 Mar 7;219(3). doi: 10.1084/jem.20211777. Epub 2022 Jan 21.
9
Discrimination of Exudative Pleural Effusions Based on Pleural Adenosine Deaminase (ADA)-C-Reactive Protein (CRP) Levels, and Their Combination: An Observational Prospective Study.基于胸腔腺苷脱氨酶(ADA)-C反应蛋白(CRP)水平及其联合检测对渗出性胸腔积液的鉴别:一项前瞻性观察研究。
J Pers Med. 2021 Aug 30;11(9):864. doi: 10.3390/jpm11090864.
10
Combined analysis of C-reactive protein in pleural fluid and serum is effective in the differential diagnosis of exudative pleural effusions.联合分析胸水和血清中的C反应蛋白对渗出性胸腔积液的鉴别诊断有效。
Ann Transl Med. 2021 Jul;9(14):1183. doi: 10.21037/atm-21-3383.