一个新的手术前风险评分,用于预测皮肤穿透性利切除术后的尿:验证和临床应用
Heng Yang1,2, Yujun Chen2, Weiwen Hu3
1Department of Urology, Henan Provincial People's Hospital, Zhengzhou , 462000, Henan, China.
Urolithiasis
|December 8, 2025
概括
一个新的评分系统,PuRass,准确地预测了皮肤穿神经切除术 (PCNL) 后尿路感染 (UTI) 的风险. 该工具有助于个性化管理PCNL患者,减少感染并发症.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 传染性疾病 传染性疾病
- 医疗信息学 医疗信息学
背景情况:
- 尿路感染 (UTI) 是通过皮肤进行利切除术 (PCNL) 后的一个重要并发症.
- 有效的风险分层对于管理PCNL后的尿路感染和预防败血症至关重要.
- 现有的预测模型可能无法完全捕捉PCNL后感染的多因素性质.
研究的目的:
- 开发和验证PuRass评分系统,用于预测PCNL后的尿路感染风险.
- 为接受PCNL的患者提供个性化的临床管理策略.
- 确定与PCNL后尿路感染相关的关键风险因素.
主要方法:
- 对293名PCNL患者的回顾性分析.
- 包括风险因素:性别,年龄,糖尿病,手术前白血细胞计数,尿液分析/培养,石材特征和水.
- 进行元分析以识别显著的风险因素,并将其整合到基于赔率比率的PuRass模型中.
主要成果:
- 性别,年龄,糖尿病,高白细胞计数和尿液检测结果是PCNL后尿路感染的重要预测因素.
- 通过ROC分析,PuRass模型展示了高预测性能 (90%的灵敏度,89.4%的特异性).
- 确定了8.5分的最佳PuRass值,用于风险分层.
结论:
- 普拉斯评分系统是预测PCNL后尿路感染风险的可靠工具.
- 由PuRass指导的早期干预可以减少高风险患者的感染率和住院时间.
- 进一步的多中心验证和与新技术的整合是有必要的,以提高临床适用性.
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