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鉴别结核性与恶性胸腔积液:一种评分模型。

Differentiating tuberculous from malignant pleural effusions: a scoring model.

作者信息

Porcel José Manuel, Vives Manuel

机构信息

Department of Internal Medicine, Arnau de Vilanova University Hospital, Lleida, Spain.

出版信息

Med Sci Monit. 2003 May;9(5):CR175-80.

PMID:12761453
Abstract

BACKGROUND

Patients with tuberculous or malignant pleural effusions frequently have similar clinical manifestations and pleural fluid profile. The aim of our study was to derive a simple clinical score for differential diagnosis of these two clinical entities.

MATERIAL/METHODS: Our retrospective study involved 106 patients with tuberculous pleurisy and 286 with malignant effusions, seen during a 9-year period. Clinical and laboratory variables with (model 1) and without (model 2) the addition of pleural adenosine deaminase entered into a multivariate analysis to calculate a scoring system (range 0 to 10) for the detection of tuberculous effusions.

RESULTS

In model 1, four variables predicted a tuberculous etiology: adenosine deaminase > or = 40 U/L (5 points), age <35 years (2), temperature > or 37.8 degrees C (2), and pleural fluid red blood cell count < 5 x 10(9)/L (1). In addition to the last three items, model 2 identified other predictive parameters: no history of malignancy (3), pleural protein > or = 50 g/L (1), and pleural fluid to serum lactate dehydrogenase ratio > or 2.2 (1). Summated scores of > or 5 in model 1 and > or 6 in model 2 yielded measures of sensitivity (95% and 97%), and specificity (94% and 91%) for discriminating tuberculous from malignant effusions, respectively. The area under the ROC curve for models 1 and 2 was 0.987 and 0.982, respectively.

CONCLUSIONS

The combination of clinical data and pleural fluid chemistry profile into a score-based model can facilitate differential diagnosis between tuberculous and malignant effusions.

摘要

背景

结核性或恶性胸腔积液患者常常有相似的临床表现和胸腔积液特征。我们研究的目的是得出一个用于这两种临床病症鉴别诊断的简单临床评分系统。

材料/方法:我们的回顾性研究纳入了9年间收治的106例结核性胸膜炎患者和286例恶性胸腔积液患者。将纳入(模型1)和未纳入(模型2)胸腔腺苷脱氨酶的临床及实验室变量进行多因素分析,以计算用于检测结核性胸腔积液的评分系统(范围0至10分)。

结果

在模型1中,四个变量可预测结核病因:腺苷脱氨酶≥40 U/L(5分)、年龄<35岁(2分)、体温≥37.8℃(2分)以及胸腔积液红细胞计数<5×10⁹/L(1分)。除最后三项外,模型2还确定了其他预测参数:无恶性肿瘤病史(3分)、胸腔积液蛋白≥50 g/L(1分)以及胸腔积液与血清乳酸脱氢酶比值≥2.2(1分)。模型1中总分≥5分和模型2中总分≥6分分别得出鉴别结核性与恶性胸腔积液的敏感度(95%和97%)和特异度(94%和91%)。模型1和模型2的ROC曲线下面积分别为0.987和0.982。

结论

将临床数据和胸腔积液化学特征结合成一个基于评分的模型有助于结核性与恶性胸腔积液的鉴别诊断。

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