Mlika-Cabanne N, Brauner M, Kamanfu G, Grenier P, Nikoyagize E, Aubry P, Larouzé B, Murray J F
Institut National de la Santé et de la Recherche Médicale (INSERM), Unité 13, Hôpital Claude Bernard, Paris, France.
Am J Respir Crit Care Med. 1995 Aug;152(2):794-9. doi: 10.1164/ajrccm.152.2.7633744.
We evaluated the age profile and chest radiographic abnormalities in 158 patients from Bujumbura, Burundi, with new-onset intrathoracic tuberculosis (pulmonary, pleural, or hilar/mediastinal adenopathy), to identify features that were associated with and would allow prediction of HIV seropositivity or seronegativity. Using agreed-upon criteria and prepared reporting forms, initial chest radiographs were reviewed by three readers, first independently and then at a consensus conference. Of the 158 patients, 105 (66%) were HIV seropositive and 53 patients were seronegative. Seropositive subjects (mean age, 35.8 yr) were older (p = 0.001) than seronegative subjects (mean age, 29.4 yr). Significant or borderline differences between HIV-seropositive and -seronegative patients included the frequency of small nodular lesions (p = 0.03), upper lobe cavitation (p = 0.05), and lymphadenopathy (p = 0.12), and the location of parenchymal abnormalities (p = 0.0006). Stepwise logistic regression revealed four important variables: age, small lesions, location, and lymphadenopathy; these were then used to derive an equation to calculate the probability that a given tuberculosis patient was HIV seropositive. Our mathematical model fit the observed data and the equation predicted serologic findings reasonably well. We conclude that it is possible to determine with useful probability a Burundian tuberculosis patient's HIV serologic status.
我们评估了来自布隆迪布琼布拉的158例新发胸内结核病(肺结核、胸膜炎或肺门/纵隔淋巴结病)患者的年龄分布和胸部X线异常情况,以确定与HIV血清阳性或血清阴性相关并可用于预测的特征。使用商定的标准和准备好的报告表格,三位阅片者先独立,然后在共识会议上对初始胸部X线片进行了审查。158例患者中,105例(66%)HIV血清阳性,53例血清阴性。血清阳性患者(平均年龄35.8岁)比血清阴性患者(平均年龄29.4岁)年龄更大(p = 0.001)。HIV血清阳性和血清阴性患者之间的显著或临界差异包括小结节病变的频率(p = 0.03)、上叶空洞形成(p = 0.05)和淋巴结病(p = 0.12),以及实质异常的部位(p = 0.0006)。逐步逻辑回归显示四个重要变量:年龄、小病变、部位和淋巴结病;然后用这些变量推导出一个方程,以计算给定结核病患者HIV血清阳性的概率。我们的数学模型与观察数据相符,该方程对血清学结果的预测相当准确。我们得出结论,有可能以有用的概率确定布隆迪结核病患者的HIV血清学状态。