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

机译:血清和胸腔液中组合生物标志物和比的回顾性研究区分多种胸腔积液

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摘要

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. 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. 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. 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.
机译:胸腔积液(PE)是常见的临床表现,数百万人患有胸膜疾病。在此,进行该回顾性研究以评估血清和胸腔流体(PF)中的生物标志物和比,用于多种类型的PE鉴别诊断和搜索PE的新诊断策略。患有结核病PE(TPE),恶性PE(MPE),复杂的PPE(CPPE),未复杂的PPE(UPPE),或PE,由结缔组织疾病(CTD)和北京人民医院接受胸腔饱和度的PE 2016年11月至2019年4月,纳入本研究。研究了11种生物标志物及其在血清和PF中的比率,并在不同的PE组对之间进行比较,并开发了决策树。综述了112个PE案例,包括25 MPE,33 TPE,19个CPPE,27个UPPE和8个PE,由CTD造成的CTD。生物标志物和比率表现出良好的诊断性能,在曲线值,敏感度和多种类型的鉴别诊断的鉴别诊断下具有良好的诊断性能。根据决策树分析,腺苷脱氨酶(ADA),血清白蛋白,血清乳酸脱氢酶,总蛋白质,PF-LDH / ADA和PF-LDH / TP的组合提供了最佳的预测能力,整体准确性为84.8 %; TPE诊断的敏感性和特异性分别为100%和98.7%。生物标志物和比率表现出良好的诊断性能,并开发了一个整体准确性的决策树,以区分临床环境中的五种PE。

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