Wu Shan, Dai Fan, Wen Yanhong, Luo Chang, Wu Chuanfang
School of Nursing, University of South China, Hengyang, China.
Ji'an Vocational and Technical College, Ji'an, China.
BMC Nephrol. 2025 May 23;26(1):255. doi: 10.1186/s12882-025-04172-6.
To develop and validate of a nomogram for predicting Catheter related bloodstream infection(CRBSI) in patients with maintenance hemodialysis.
This was a retrospective cohort study.A total of 756 patients underwent hemodialysis between January 2017 to December 2021 in purification center of the Affiliated Hospital of Changsha Central Hospital, University of South China were enrolled in this research.The demographic data, hemodialysis data, laboratory indexes of the patients were analyzed. Univariate analysis and multivariate Logistic regression were used to analyze the influencing factors of CRBSI in hemodialysis patients and a nomogram model was established.Area under the receiver operating characteristic curve(AUC) and Hosmer-Lemeshow(H-L)test were used to verify the discrimination and calibration of the model.
Among the 756 hemodialysis patients,64 patients developed CRBSI, with an incidence rate of 8.5%(64/756).The results of multivariate analysis showed that combined with diabetes mellitus、dialysis age、catheter retention time、C-reactive protein and procalcitonin were independent risk factors for CRBSI in hemodialysis patients(P < 0.05).The receiver operating characteristic curve analysis showed that the AUC of the model was 0.88 and the H-L test results showed that the model had good goodness of fit(χ = 5, P = 0.7).The internal validation of the prediction model showed an AUC of 0.82, and the H-L results showed (χ = 11, P = 0.2), indicating that the model has a good prediction performance and high accuracy.
An easy-to-use nomogram for prediction of CRBSI in hemodialysis patients is well developed.This risk assessment tool can effectively identify patients at high risk of CRBSI and may be useful for optimizing catheter management.
开发并验证一种用于预测维持性血液透析患者导管相关血流感染(CRBSI)的列线图。
这是一项回顾性队列研究。选取2017年1月至2021年12月在南华大学附属长沙中心医院净化中心接受血液透析的756例患者纳入本研究。分析患者的人口统计学数据、血液透析数据、实验室指标。采用单因素分析和多因素Logistic回归分析血液透析患者CRBSI的影响因素并建立列线图模型。采用受试者操作特征曲线下面积(AUC)和Hosmer-Lemeshow(H-L)检验验证模型的区分度和校准度。
756例血液透析患者中,64例发生CRBSI,发生率为8.5%(64/756)。多因素分析结果显示,合并糖尿病、透析龄、导管留置时间、C反应蛋白及降钙素原是血液透析患者CRBSI的独立危险因素(P<0.05)。受试者操作特征曲线分析显示,模型的AUC为0.88,H-L检验结果显示模型拟合优度良好(χ=5,P=0.7)。预测模型的内部验证显示AUC为0.82,H-L结果显示(χ=11,P=0.2),表明该模型具有良好的预测性能和较高的准确性。
开发了一种易于使用的用于预测血液透析患者CRBSI的列线图。这种风险评估工具可以有效识别CRBSI高危患者,可能有助于优化导管管理。