Heffernan Courtney, Doroshenko Alexander, Egedahl Mary Lou, Barrie James, Senthilselvan Ambikaipakan, Long Richard
Tuberculosis Program Evaluation and Research Unit, Dept of Medicine, University of Alberta, Edmonton, AB, Canada.
Division of Preventive Medicine, Dept of Medicine, University of Alberta, Edmonton, AB, Canada.
ERJ Open Res. 2018 Apr 20;4(2). doi: 10.1183/23120541.00170-2017. eCollection 2018 Apr.
Our objective was to investigate whether pulmonary tuberculosis (PTB) can be predicted from features of a targeted medical history and basic laboratory investigations in immigrants. A retrospective cohort of 391 foreign-born adults referred to the Edmonton Tuberculosis Clinic (Edmonton, AB, Canada) was studied using multiple logistic regression analysis to predict PTB. Seven characteristics of disease were used as explanatory variables. Cross-validation assessed performance. Each predictor was tested on two outcomes: "culture-positive" and "smear-positive". Receiver operating characteristic (ROC) curves were generated and the area under the ROC curve (AUC) was quantified. Symptoms, subacute duration of symptoms, risk factors for reactivation of latent TB infection and anaemia were all associated with a positive culture (adjusted OR 1.79, 2.24, 1.72 and 2.28, respectively; p<0.05). Symptoms, inappropriate prescription of broad-spectrum antibiotics and a "typical" chest radiograph were associated with smear-positive PTB (adjusted OR 2.91, 1.55 and 12.34, respectively; p<0.05). ROC curve analysis was used to test ach model, yielding AUC=0.91 for the outcome "culture-positive" disease and AUC=0.94 for the outcome "smear-positive" disease. PTB among the foreign-born can be predicted from a targeted medical history and basic laboratory investigations, raising the threshold of suspicion in settings where the disease is relatively rare.
我们的目的是研究能否根据有针对性的病史特征和基础实验室检查来预测移民中的肺结核(PTB)。我们对391名出生在国外的成年人进行了一项回顾性队列研究,这些人被转诊至埃德蒙顿结核病诊所(加拿大艾伯塔省埃德蒙顿),采用多因素逻辑回归分析来预测PTB。将七种疾病特征用作解释变量。通过交叉验证评估预测性能。每个预测因素在两个结局上进行测试:“培养阳性”和“涂片阳性”。生成受试者工作特征(ROC)曲线,并对ROC曲线下面积(AUC)进行量化。症状、症状的亚急性持续时间、潜伏性结核感染再激活的危险因素和贫血均与培养阳性相关(校正比值比分别为1.79、2.24、1.72和2.28;p<0.05)。症状、广谱抗生素的不恰当处方和“典型的”胸部X线片与涂片阳性的PTB相关(校正比值比分别为2.91、1.55和12.34;p<0.05)。使用ROC曲线分析对每个模型进行测试,“培养阳性”疾病结局的AUC=0.91,“涂片阳性”疾病结局的AUC=0.94。出生在国外的人群中的PTB可以根据有针对性的病史和基础实验室检查来预测,这提高了在该疾病相对罕见的环境中的怀疑阈值。