Wang Chuan-Sheng, Chen Huang-Chi, Chong Inn-Wen, Hwang Jhi-Jhu, Huang Ming-Shyan
Department of Internal Medicine, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
J Formos Med Assoc. 2008 Jan;107(1):13-20. doi: 10.1016/S0929-6646(08)60003-0.
BACKGROUND/PURPOSE: Clinicians need to decide whether to begin isolation and empiric therapy for patients suspected of having infectious tuberculosis (TB). This study aimed to identify the demographic, clinical and radiographic characteristics of acid-fast bacilli (AFB) smear-positive patients and to create a smear-positive TB prediction rule, which clinicians may use to predict risk.
This was a retrospective study involving 105 patients with AFB smear-positive TB and 52 patients with AFB smear-negative TB at Kaohsiung Municipal Hsiao-Kang Hospital in southern Taiwan from August 1, 2003 to July 31, 2006. All of the patients had at least one sputum culture that was positive for Mycobacterium tuberculosis. Demographic, clinical and radiographic data of patients with AFB smear-positive TB were compared to those of patients with AFB smear-negative TB.
On univariate analysis, young age (p = 0.033), alcoholism (p = 0.036), weight loss (p = 0.003), fever (p = 0.018), consolidation (p = 0.001), infiltration (p = 0.012), cavitary pattern (p = 0.005), right upper lung field (p < 0.001) and left upper lung field (p = 0.001) lesions on chest radiographs were found to be predictive of smear-positive TB patients. In contrast, end-stage renal disease (p = 0.035) and normal chest radiograph (p = 0.006) were predictive of smear-negative TB patients. On multivariate analysis, age less than 65 years (p = 0.004), fever (p = 0.004), right upper lung field (p = 0.044), left upper lung field (p = 0.041), consolidation (p = 0.018) and cavitary (p = 0.049) lesions on chest radiograph were independently associated with an increased risk of an AFB positive smear finding. The smear-positive TB prediction model was created based on the results of the multivariate analysis that had an area of 0.788 under the receiver operating characteristic curve.
The smear-positive TB prediction model may help clinicians decide if a patient with pending sputum smear results should first be placed in isolation and empiric anti-tuberculous therapy started.
背景/目的:临床医生需要决定是否对疑似感染性肺结核(TB)的患者开始隔离和经验性治疗。本研究旨在确定抗酸杆菌(AFB)涂片阳性患者的人口统计学、临床和影像学特征,并创建一个涂片阳性肺结核预测规则,临床医生可据此预测风险。
这是一项回顾性研究,纳入了2003年8月1日至2006年7月31日期间台湾南部高雄市小港医院的105例AFB涂片阳性肺结核患者和52例AFB涂片阴性肺结核患者。所有患者至少有一次痰培养结果为结核分枝杆菌阳性。将AFB涂片阳性肺结核患者的人口统计学、临床和影像学数据与AFB涂片阴性肺结核患者的数据进行比较。
单因素分析显示,年龄较小(p = 0.033)、酗酒(p = 0.036)、体重减轻(p = 0.003)、发热(p = 0.018)、实变(p = 0.001)、浸润(p = 0.012)、空洞型(p = 0.005)、右上肺野(p < 0.001)和左上肺野(p = 0.001)病变可预测涂片阳性肺结核患者。相反,终末期肾病(p = 0.035)和胸部X线片正常(p = 0.006)可预测涂片阴性肺结核患者。多因素分析显示,年龄小于65岁(p = 0.004)、发热(p = 0.004)、右上肺野(p = 0.044)、左上肺野(p = 0.041)、实变(p = 0.018)和空洞(p = 0.049)病变与AFB涂片阳性结果风险增加独立相关。基于多因素分析结果创建了涂片阳性肺结核预测模型,其受试者工作特征曲线下面积为0.788。
涂片阳性肺结核预测模型可能有助于临床医生决定对于痰涂片结果待定的患者是否应首先进行隔离并开始经验性抗结核治疗。