Li Yu, Yang Jinming, Chen Yue, Cui Wenhao, Wang Jukun, Zhang Chao, Zhu Linzhong, Bian Chunjing, Luo Tao
Department of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Department of Vascular Intervention, Aerospace Center Hospital, Beijing, China.
iScience. 2024 Aug 15;27(9):110727. doi: 10.1016/j.isci.2024.110727. eCollection 2024 Sep 20.
Autologous arteriovenous fistula (AVF) is preferred in hemodialysis patients. Maintaining its patency is a critical problem. This study aimed to create a nomogram model for predicting 1-year primary patency of AVF. Consequently, a total of 414 patients were retrospectively enrolled and randomly allocated to training and validation cohorts. Risk factors were identified by multivariable logistic regression and used to create a nomogram model. Performance of the model was evaluated by receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test, and calibration curve. The results suggested that diameter of cephalic vein, low-density lipoprotein, glycosylated hemoglobin (%), and C-reactive protein were risk factors which could predict the patency of AVF. Area under ROC curves for training and validation cohorts were 0.771 and 0.794, respectively. Calibration ability was satisfactory in both cohorts. Therefore, present nomogram model could predict the 1-year primary patency of AVF.
自体动静脉内瘘(AVF)在血液透析患者中更受青睐。维持其通畅是一个关键问题。本研究旨在创建一个用于预测AVF 1年原发性通畅率的列线图模型。因此,共回顾性纳入414例患者,并随机分配到训练队列和验证队列。通过多变量逻辑回归确定危险因素,并用于创建列线图模型。通过受试者工作特征(ROC)曲线、Hosmer-Lemeshow检验和校准曲线评估模型的性能。结果表明,头静脉直径、低密度脂蛋白、糖化血红蛋白(%)和C反应蛋白是可预测AVF通畅率的危险因素。训练队列和验证队列的ROC曲线下面积分别为0.771和0.794。两个队列的校准能力均令人满意。因此,目前的列线图模型可以预测AVF的1年原发性通畅率。