School of Medicine, Nantong University, Nantong, China.
Department of Vascular Surgery, Affiliated Hospital of Nantong University, Nantong, China.
BMC Infect Dis. 2023 Jul 10;23(1):459. doi: 10.1186/s12879-023-08419-1.
This study aimed to establish an effective ultrasound diagnostic nomogram for benign or malignant lymph nodes in HIV-infected patients.
The nomogram is based on a retrospective study of 131 HIV-infected patients who underwent ultrasound assess at the Shanghai Public Health Clinical Center from December 2017 to July 2022. The nomogram's predictive accuracy and discriminative ability were determined by concordance index (C-index) and calibration curve analysis. A nomogram combining the lymph node US characteristics were generated based on the multivariate logistic regression results.
Predictors contained in the ultrasound diagnostic nomogram included age (OR 1.044 95%CI: 1.014-1.074 P = 0.004), number of enlarged lymph node regions (OR 5.445 95%CI: 1.139-26.029 P = 0.034), and color Doppler flow imaging (CDFI) grades (OR 9.614 95%CI: 1.889-48.930 P = 0.006). The model displayed good discrimination with a C (ROC) of 0.775 and good calibration.
The proposed nomogram may result in more-accurate diagnostic predictions for benign or malignant lymph nodes in patients with HIV infection.
本研究旨在建立一种针对 HIV 感染患者良恶性淋巴结的有效超声诊断列线图。
该列线图基于对 2017 年 12 月至 2022 年 7 月在上海市公共卫生临床中心接受超声评估的 131 名 HIV 感染患者的回顾性研究。通过一致性指数(C 指数)和校准曲线分析来确定列线图的预测准确性和区分能力。基于多变量逻辑回归结果生成了一个包含淋巴结 US 特征的列线图。
超声诊断列线图中的预测因子包括年龄(OR 1.044,95%CI:1.014-1.074,P=0.004)、肿大淋巴结区域数(OR 5.445,95%CI:1.139-26.029,P=0.034)和彩色多普勒血流成像(CDFI)分级(OR 9.614,95%CI:1.889-48.930,P=0.006)。该模型具有良好的区分度(C(ROC)为 0.775)和良好的校准度。
所提出的列线图可能为 HIV 感染患者的良恶性淋巴结提供更准确的诊断预测。