PDF(Pubmed)
Abstract：
Using ultrasound findings and clinical characteristics, we constructed and validated a new nomogram for distinguishing epididymal tuberculosis from nontuberculous epididymitis, both of which share similar symptoms. We retrospectively examined data of patients with epididymal tuberculosis and nontuberculous epididymitis hospitalized between January 1, 2013, and March 31, 2023. Eligible patients were randomly assigned to derivation and validation cohorts (ratio, 7:3). We drew a nomogram to construct a diagnostic model through multivariate logistic regression and visualize the model. We used concordance index, calibration plots, and decision curve analysis to assess the discrimination, calibration, and clinical usefulness of the nomogram, respectively. In this study, 136 participants had epididymal tuberculosis and 79 had nontuberculous epididymitis. Five variables-C-reactive protein level, elevated scrotal skin temperature, nodular lesion, chronic infection, and scrotal skin ulceration-were significant and used to construct the nomogram. Concordance indices of the derivation and validation cohorts were 0.95 and 0.96, respectively (95% confidence intervals, 0.91-0.98 and 0.92-1.00, respectively). Decision curve analysis of this nomogram revealed that it helped differentiate epididymal tuberculosis from nontuberculous epididymitis. This nomogram may help clinicians distinguish between epididymal tuberculosis and nontuberculous epididymitis, thereby increasing diagnosis accuracy.
摘要：
利用超声检查结果和临床特征，我们构建并验证了一个新的列线图，用于区分附睾结核和非结核性附睾炎，两者都有相似的症状。我们回顾性分析了2013年1月1日至2023年3月31日期间住院的附睾结核和非结核性附睾炎患者的资料。符合条件的患者被随机分配到推导和验证队列(比率，7:3）。我们绘制了一个列线图，通过多元逻辑回归构建诊断模型，并对模型进行可视化。我们使用了一致性指数，校准图,和决策曲线分析来评估歧视，校准,和列线图的临床实用性，分别。在这项研究中,136名参与者患有附睾结核，79名非结核性附睾炎。五个变量-C反应蛋白水平，阴囊皮肤温度升高，结节性病变,慢性感染,和阴囊皮肤溃疡-显着，并用于构建列线图。推导和验证队列的一致性指数分别为0.95和0.96(95%置信区间，分别为0.91-0.98和0.92-1.00）。此列线图的决策曲线分析表明，它有助于区分附睾结核和非结核性附睾炎。此列线图可以帮助临床医生区分附睾结核和非结核性附睾炎。从而提高诊断的准确性。
