基于列线图模型的输尿管软镜碎石术后结石残余的风险评估OACSTPCD
Risk assessment of residual calculi after flexible ureteroscopic lithotripsy based on nomogram model
目的:探讨影响肾结石患者输尿管软镜碎石术(FURL)术后结石残余的危险因素,建立列线图风险预警模型.方法:选取2021 年1 月至2023 年1 月收治的120 例行FURL的肾结石患者,依据术后是否发生结石残余分为残余组与取净组,对相关因素进行Logistic回归分析,构建列线图风险模型并进行验证.结果:因素分析结果显示,结石位置、多发结石、肾盂肾下盏漏斗夹角、累及肾盏数量、术前中段尿培并阳性、结石直径是肾结石患者FURL术后结石残余的影响因素,其中结石直径大、结石位置、多发结石、肾盂肾下盏漏斗夹角<45°、累及肾盏数量≥2 是独立危险因素(P<0.05,OR>1).Hosmer-Leme-show拟合优度检验结果显示,χ2=1.474,P=0.993,受试者工作特征曲线下面积为0.947(P<0.001,95%CI=0.900~0.993),灵敏度为81.80%,特异性为94.90%,最大约登指数为0.767,模型预测肾结石患者FURL术后结石残余的校正曲线总体趋势与理想曲线基本吻合.模型回归方程Logit(P)=0.193×结石直径+1.717×结石位置+3.141×多发结石+2.373×肾盂肾下盏漏斗夹角+2.626×累及肾盏个数-10.987.结论:肾结石患者FURL术后结石残余受多种因素的影响,根据其危险因素建立的风险预警模型具有良好的预测效能.
Objective:To explore the risk factors of residual calculi after flexible ureteroscopic lithotripsy(FURL)in patients with renal calculi,and to develop a risk warning model of nomogram.Methods:A total of 120 patients with renal calculi who underwent FURL from Jan.2021 to Jan.2023 were selected and divided into residual group and clean group according to whether the patients had residual stones after operation.Logistic regression analysis was performed on the related factors,and a nomogram risk model was con-structed and verified.Results:The results of factor analysis showed that the location of stones,multiple stones,infundibulopelvic angle(IPA),the number of renal calices involved,the positive culture result of preoperative midstream urine,and the diameter of stones were the influencing factors of residual stones after FURL in patients with renal calculi.Among them,the large diameter of stones,the location of stones,multiple stones,IPA<45° and the number of renal calices involved≥2 were independent risk factors(P<0.05,OR>1).The results of Hosmer-Lemeshow goodness-of-fit test showed that χ2=1.474,P=0.993,the area under the receiver operating characteristic curve was 0.947(P<0.001,95%CI=0.900~0.993),the sensitivity was 81.80%,the specificity was 94.90%,and the maximum Youden index was 0.767.The overall trend of the calibration curve predicted by the model for residual stones after FURL in patients with renal calculi was basically consistent with the ideal curve.The model regression equation was Logit(P)=0.193×stone diameter+1.717×stone location+3.141×multiple stones+2.373×IPA+2.626×number of involved calyces-10.987.Conclusions:The residual cal-culi after FURL in patients with renal calculi are affected by a variety of factors.The risk early warning model developed according to its risk factors has good predictive efficacy.
胡赛峰;胡安定;钱挺照;胡春
永康市中医院泌尿外科,浙江 永康,321300
临床医学
肾结石碎石术输尿管镜检查列线图结石残余风险评估
Kidney calculiLithotripsyUreteroscopyNomogramsResidual calculiRisk evaluation
《腹腔镜外科杂志》 2024 (005)
378-383 / 6
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