新医学2026，Vol.57Issue(6)：678-688,11.DOI:10.12464/j.issn.0253-9802.2026-0100
经皮肾镜取石术后并发全身炎症反应综合征的预测因素及其应用进展
Advances in predictive factors for systemic inflammatory response syndrome after percutaneous nephrolithotomy
摘要
Abstract
Percutaneous nephrolithotomy(PCNL),as a first-line minimally invasive treatment for complex renal calculi,is associated with a postoperative incidence of systemic inflammatory response syndrome(SIRS)as high as 10%-30%.SIRS may progress within hours to sepsis or even septic shock,posing a serious threat to patients'lives.Previous studies on predictors of SIRS after PCNL have mostly focused on individual indicators,with insufficient systematic integration of multidimensional predictive factors.Based on the latest evidence from China and abroad over the past five years,this study systematically reviews recent research advances in predictors of SIRS after PCNL from seven dimensions:preoperative bacteriological assessment,surgery-related factors,baseline patient status,composite inflammatory markers,nutritional and immune assessment indicators,imaging and anatomical parameters and machine learning prediction models.This study proposes an evidence-based graded risk assessment workflow for perioperative SIRS in PCNL and corresponding differentiated perioperative management strategies.It transforms abstract predictive factors into quantifiable and operable clinical decision-making tools,providing evidence-based references for clinicians to accurately identify high-risk patients,formulate individualized perioperative plans,optimize prophylactic anti-infective strategies,and reasonably determine the intensity of monitoring.These findings have important clinical guiding value for reducing the incidence of SIRS after PCNL and improving patient prognosis.关键词
经皮肾镜取石术/全身炎症反应综合征/预测因素/炎症标志物/风险评估Key words
Percutaneous nephrolithotomy/Systemic inflammatory response syndrome/Predictive factor/Inflammatory marker/Risk assessment引用本文复制引用
杨家俊,江克华..经皮肾镜取石术后并发全身炎症反应综合征的预测因素及其应用进展[J].新医学,2026,57(6):678-688,11.基金项目
国家自然科学基金(82560155,82260156) （82560155,82260156）
贵州省"千层次"创新型人才(GZSYQCC[2023]016) （GZSYQCC[2023]016）
