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首页> 外文期刊>Asian Pacific Journal of Cancer Prevention >Predictive Role of Adenosine Deaminase for Differential Diagnosis of Tuberculosis and Malignant Pleural Effusion in Turkey
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Predictive Role of Adenosine Deaminase for Differential Diagnosis of Tuberculosis and Malignant Pleural Effusion in Turkey

机译:腺苷脱氨酶在土耳其结核病和恶性胸腔积液鉴别诊断中的预测作用

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Tuberculous pleural effusion (TPE) is a common problem for differential diagnosis from malignant effusion(MPE) in epidemic areas of tuberculosis (TB). Prediction based on adenosine deaminase (ADA) is dependent onage as well as the tuberculosis incidence. The aim of the study was to evaluate cutoff values for ADA with sensitivityand specificity results for the differential diagnosis of MPE and TPE in a population with intermediate incidenceof TB. We retrospectively analysed 196 patients with a definitive diagnosis of TPE (n=114) and MPE (n= 82). Theoptimal cutoff value of ADA was determined using the receiver operating characteristic (ROC) curve. There wasa statistically significant difference according to the levels of pleural fluid ADA between TPE and MPE groups(p 55U/L, with a sensitivity = 86.8%, specificity = 86.6%,positive predictive value (PPV) = 90%, negative predictive value (NPV) = 82.6% and accuracy = 82.6%. Wethen combined ADA>55U/L and age<50 and were able to discriminate the TPE group with increased specifity(95.7 %) and PPV (98.8%) results. The model could correctly classify 21 MPE out of 23 and 82 TPE out of 94patients. A pleural fluid ADA value <31U/L suggests that TPE is highly unlikely with a sensitivity = 43.9 %,specificity = 100%, PPV = 100%, NPV = 71.3% and accuracy = 76.6%. It can be concluded that ADA is a veryuseful parameter for the differential diagnosis of TPE and MPE, specifically in youngers with a higher incidenceof tuberculosis.
机译:结核性胸腔积液(TPE)是结核病(TB)流行地区与恶性积液(MPE)鉴别诊断的常见问题。基于腺苷脱氨酶(ADA)的预测依赖于年龄以及结核病的发病率。这项研究的目的是通过敏感性和特异性结果评估ADA的临界值,以鉴别诊断结核病中度人群的MPE和TPE。我们回顾性分析了196例确诊为TPE(n = 114)和MPE(n = 82)的患者。使用接收器工作特性(ROC)曲线确定ADA的最佳截止值。 TPE组和MPE组胸水ADA水平差异有统计学意义(p 55U / L,敏感性= 86.8%,特异性= 86.6%,阳性预测值(PPV)= 90%,阴性预测值( NPV)= 82.6%,准确度= 82.6%,然后结合ADA> 55U / L和age <50,能够区分TPE组,其特异性增加(95.7%)和PPV(98.8%),该模型可以正确分类23例患者中有21例MPE,94例患者中有82例TPE。胸水ADA值<31U / L表明TPE的可能性极低,灵敏度= 43.9%,特异性= 100%,PPV = 100%,NPV = 71.3%,准确性= 76.6%。可以得出结论,ADA是鉴别TPE和MPE的非常有用的参数,特别是在结核病高发的年轻人中。

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