Liu Sheng-Shan, Zhu Da-Qing, Tan Jun-Tao, Hu Hai, Feng Chi, Luo Qing-Hua
Department of Nephrology, Nanchang People's Hospital, Nanchang, China.
Department of Infectious Disease, Fifth People's Hospital of Ganzhou, Ganzhou, China.
Eur J Med Res. 2025 Jun 13;30(1):479. doi: 10.1186/s40001-025-02754-6.
Flexible ureteroscopy (FURS) is widely used for the treatment of upper urinary tract stones. However, postoperative sepsis remains a serious complication with potentially life-threatening consequences. This study aimed to develop and externally validate a nomogram for predicting the risk of sepsis following FURS.
A multicenter, retrospective observational cohort study was conducted, involving 1722 patients who underwent FURS. was conducted using data from 1722 patients, with a subset for model development and another for external validation. Key predictive factors such as gender, urine culture results, stone size, staghorn stones, preoperative albumin levels, and operative time were included in the model. Multivariate logistic regression analysis was used to identify independent predictors, and a nomogram was developed.
Six independent predictors were identified: female gender, positive urine culture, stone size ≥ 2 cm, staghorn stones, preoperative albumin levels < 35 g/L, and operative time ≥ 60 min. The nomogram showed excellent performance, with C-index values of 0.88 (training), 0.87 (internal validation), and 0.85 (external validation). The model also demonstrated robust calibration and clinical utility through decision curve analysis.
The nomogram developed in this study offers a simple and accurate tool for predicting sepsis risk following FURS. It can aid clinicians in making timely interventions and improving patient outcomes. Further validation and refinement in larger cohorts are needed.
输尿管软镜检查(FURS)广泛应用于上尿路结石的治疗。然而,术后脓毒症仍然是一种严重的并发症,可能会导致危及生命的后果。本研究旨在开发并外部验证一种用于预测FURS术后脓毒症风险的列线图。
进行了一项多中心回顾性观察队列研究,纳入1722例行FURS的患者。使用1722例患者的数据进行研究,一部分数据用于模型开发,另一部分用于外部验证。模型纳入了性别、尿培养结果、结石大小、鹿角形结石、术前白蛋白水平和手术时间等关键预测因素。采用多因素逻辑回归分析确定独立预测因素,并绘制列线图。
确定了6个独立预测因素:女性、尿培养阳性、结石大小≥2 cm、鹿角形结石、术前白蛋白水平<35 g/L和手术时间≥60分钟。列线图表现出色,C指数值在训练集中为0.88,内部验证中为0.87,外部验证中为0.85。通过决策曲线分析,该模型还显示出稳健的校准和临床实用性。
本研究开发的列线图为预测FURS术后脓毒症风险提供了一种简单且准确的工具。它可以帮助临床医生及时进行干预并改善患者预后。需要在更大的队列中进行进一步验证和完善。