A retrospective study on the combined biomarkers and ratios in serum and pleural fluid to distinguish the multiple types of pleural effusion

被引:14
作者
Lin, Liyan [1 ,3 ]
Li, Shuguang [1 ,2 ]
Xiong, Qiao [4 ]
Wang, Hui [1 ,2 ]
机构
[1] Peking Univ Peoples Hosp, Dept Clin Lab, Xizhimen South Ave 11, Beijing 100044, Peoples R China
[2] Peking Univ, Inst Med Technol, Hlth Sci Ctr, Beijing 100191, Peoples R China
[3] Univ Sydney, Sydney Med Sch, Dept Infect Dis & Immunol, Sydney, NSW 2006, Australia
[4] Univ Sydney, Sch Publ Hlth, Sydney, NSW 2006, Australia
基金
中国国家自然科学基金;
关键词
Pleural effusion; Tuberculous pleural effusion; Biomarkers; Ratios; Differential diagnosis; Decision-tree analysis;
D O I
10.1186/s12890-021-01459-w
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Purpose Pleural effusion (PE) is a common clinical manifestation, and millions of people suffer from pleural disease. Herein, this retrospective study was performed to evaluate the biomarkers and ratios in serum and pleural fluid (PF) for the differential diagnosis of the multiple types of PE and search for a new diagnostic strategy for PE. Methods In-patients, who developed tuberculous PE (TPE), malignant PE (MPE), complicated parapneumonic effusion (CPPE), uncomplicated PPE (UPPE), or PE caused by connective tissue diseases (CTDs) and underwent thoracentesis at Peking University People's Hospital from November 2016 to April 2019, were included in this study. Eleven biomarkers and their ratios in serum and PF were investigated and compared between pairs of the different PE groups, and a decision-tree was developed. Results Totally 112 PE cases, including 25 MPE, 33 TPE, 19 CPPE, 27 UPPE, and 8 PE caused by CTDs, were reviewed. Biomarkers and ratios showed good diagnostic performance with high area under the curve values, sensitivities, and specificities for the differential diagnosis of the multiple types of PE. According to the decision-tree analysis, the combination of adenosine deaminase (ADA), serum albumin, serum lactate dehydrogenase, total protein, PF-LDH/ADA, and PF-LDH/TP provided the best predictive capacity with an overall accuracy of 84.8%; the sensitivity and specificity for TPE diagnosis were 100% and 98.7%, respectively. Conclusion The biomarkers and ratios showed good diagnostic performance, and a decision-tree with an overall accuracy of 84.8% was developed to differentiate the five types of PE in clinical settings.
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页数:10
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