Uganda Tuberculosis Implementation Research Consortium, Makerere University, College of Health Sciences, Kampala, Uganda.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States America.
PLoS One. 2020 Dec 11;15(12):e0243542. doi: 10.1371/journal.pone.0243542. eCollection 2020.
When evaluating symptomatic patients for tuberculosis (TB) without access to same-day diagnostic test results, clinicians often make empiric decisions about starting treatment. The number of TB symptoms and/or underweight status could help identify patients at highest risk for a positive result. We sought to evaluate the usefulness of BMI assessment and a count of characteristic TB symptoms for identifying patients at highest risk for TB.
We enrolled adult patients receiving pulmonary TB diagnoses and a representative sample with negative TB evaluations at four outpatient health facilities in Kampala, Uganda. We asked patients about symptoms of chronic cough, night sweats, chest pain, fever, hemoptysis, or weight loss; measured height and weight; and collected sputum for mycobacterial culture. We evaluated the diagnostic accuracy (for culture-positive TB) of two simple scoring systems: (a) number of TB symptoms, and (b) number of TB symptoms plus one or more additional points for underweight status (body mass index [BMI] ≤ 18.5 kg/m2).
We included 121 patients with culture-positive TB and 370 patients with negative culture results (44 of whom had been recommended for TB treatment by evaluating clinicians). Of the six symptoms assessed, the median number of symptoms that patients reported was two (interquartile range [IQR]: 1, 3). The median BMI was 20.9 kg/m2 (IQR: 18.6, 24.0), and 118 (24%) patients were underweight. Counting the number of symptoms provided an area under the Receiver Operating Characteristic curve (c-statistic) of 0.77 (95% confidence interval, CI: 0.72, 0.81) for identifying culture-positive TB; adding two points for underweight status increased the c-statistic to 0.81 (95%CI: 0.76, 0.85). A cutoff of ≥3 symptoms had sensitivity and specificity of 65% and 74%, whereas a score of ≥4 on the combined score (≥2 symptoms if underweight, ≥4 symptoms if not underweight) gave higher sensitivity and specificity of 69% and 81% respectively. A sensitivity analysis defining TB by Xpert MTB/RIF status produced similar results.
A count of patients' TB symptoms may be useful in clinical decision-making about TB diagnosis. Consideration of underweight status adds additional diagnostic value.
当评估无即时诊断检测结果的有症状结核病(TB)患者时,临床医生通常会根据经验做出治疗决策。TB 症状的数量和/或体重不足状况可帮助确定具有阳性结果的最高风险患者。我们试图评估 BMI 评估和特征性 TB 症状计数对于识别 TB 风险最高的患者的有用性。
我们招募了在乌干达坎帕拉的四家门诊医疗机构接受肺结核诊断和具有代表性的阴性 TB 评估的成年患者。我们询问患者有关慢性咳嗽、盗汗、胸痛、发烧、咯血或体重减轻的症状;测量身高和体重;并收集用于分枝杆菌培养的痰液。我们评估了两种简单评分系统(a)TB 症状数量,以及(b)TB 症状数量加一个或多个体重不足状态(BMI≤18.5kg/m2)的附加点,对于培养阳性 TB 的诊断准确性(culture-positive TB)。
我们纳入了 121 例培养阳性 TB 患者和 370 例培养阴性结果的患者(其中 44 例已被评估临床医生建议进行 TB 治疗)。在所评估的六个症状中,患者报告的症状中位数为两个(四分位间距[IQR]:1,3)。中位 BMI 为 20.9kg/m2(IQR:18.6,24.0),118(24%)患者体重不足。计算症状数量为识别培养阳性 TB 的接收者操作特征曲线下面积(c 统计量)为 0.77(95%置信区间[CI]:0.72,0.81);增加两个体重不足状态点使 c 统计量增加到 0.81(95%CI:0.76,0.85)。≥3 个症状的截断值具有 65%的敏感性和 74%的特异性,而联合评分(如果体重不足则≥2 个症状,如果体重不不足则≥4 个症状)的评分≥4 时,敏感性和特异性分别为 69%和 81%。将 TB 通过 Xpert MTB/RIF 状态定义的敏感性分析产生了类似的结果。
计算患者的 TB 症状数量可能有助于 TB 诊断的临床决策。考虑体重不足状态可增加额外的诊断价值。