PuRass模型预测PCNL术后感染风险的临床应用分析  

Clinical Application of PuRass Model in Predicting the Risks of Infection after Percutaneous Nephrolithotomy

作　　者：栾光超 钱彪[1] 王勤章[1] 倪钊[1] 李强[1] 李应龙[1] 王新敏[1] LUAN Guang-chao;QIAN Biao;WANG Qin-zhang;NI Zhao;LI Qiang;LI Ying-long;WANG Xin-min(Department of Urology,the First Affliated Hospital of Shihezi University medical school,Xinjiang Shihezi 832000,Chin)

机构地区：[1]石河子大学医学院第一附属医院泌尿外科,新疆石河子832000

出　　处：《临床医药文献电子杂志》2018年第36期1-3,共3页Electronic Journal of Clinical Medical Literature

摘　　要：目的探讨PuRass模型预测PCNL术后并发感染风险的临床应用价值。方法应用PuRass模型对拟行PCNL手术患者术前进行风险预测,与术后实际发生率进行对比,分析预测与实际情况是否存在差异。结果应用PuRass模型对79例患者进行术前预测,结果显示高风险组患者17例,低风险组患者62例,术后实际并发感染15例,高风险组13例,低风险组2例,其中1例进展为尿源性脓毒血症,预测组与实际组无显著性差异;差异无统计学意义(P>0.05)。结论 PuRass模型对PCNL术后并发感染的高风险患者预测价值较高,可作为高风险人群的术前预测工具。Objective To explore the clinical value of PuRass model in predicting the risks of infection after percutaneous nephrolithotomy（PCNL）.Methods The patients who underwent PCNL surgeries were perspectively studied with using PuRass model to predict their risks of infection after percutaneous nephrolithotomy, The difference between predictive value and observed value was analyzed.Results According to PuRass model, 79 patients were predicted in preoperative,the results showed that 17 cases in high-risk group and 62 cases in low-risk group,15 cases had concurrent infection in postoperative,actually,13 cases in high-risk group,2 cases in low-risk group,1 of them progressed to urosepsis. There is no significant difference between the forecast group and the actual group（P〉0.05）.Conclusions The PuRass model has a better predictive value for patients with high risk of infection after PCNL. It can be used as a preoperative prediction tool for high-risk population.

关 键 词：PuRass模型 PCNL手术 风险预测 感染 

分 类 号：R63[医药卫生—外科学]