Department of Urology, Faculty of Medicine, Istanbul Medeniyet University, Istanbul, Turkey.
Department of Public Health, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Actas Urol Esp (Engl Ed). 2022 Oct;46(8):473-480. doi: 10.1016/j.acuroe.2021.12.012. Epub 2022 Jul 5.
To investigate factors affecting SWL outcomes, validate three current nomograms (Kim JK, Triple D and S3HoCKwave) and compare the predictive ability of the nomograms for SWL outcomes in upper urinary tract stones.
Medical records of patients with renal and proximal ureteral stones treated with SWL between March 2013 and October 2020 were retrospectively reviewed. Factors affecting SWL success were analyzed with multivariate logistic regression analysis and the three predictive scoring systems compared with the area under the curve (AUC).
A total of 580 patients were included in our study. The overall stone free rate was 61% and 144/580 patients (24.8%) were stone free after one session. In multivariate logistic regression analysis, stone location at upper calyx (OR:2.988; 95%Cl: 1.350-6.612; p = 0.007), middle calyx (OR:3.036; 95%Cl: 1.472-6.258; p = 0.003), and lower calyx (OR:2.131; 95%Cl: 1.182-3.839; p = 0.012), as well as number of stones (OR:1.663; 95%Cl: 1.140-2.425; p = 0.008), maximum diameter of stone (OR:1.156; 95%Cl: 1.098-1.217; p < 0.001) and maximum Hounsfield Unit (OR:1.001; 95%Cl: 1.001-1.002; p < 0.001) were independent risk factors of SWL failure. The AUCs of the Kim JK, Triple D and S2HoCKwave scores for predicting SWL success were 0.678, 0.548, and 0.626 respectively.
Stone location, number, maximal diameter, and maximum HU were independent predictive factors for SWL outcome in the treatment of upper urinary tract stones. Current nomograms, "Kim JK nomogram", "Triple D score" and "S3HoCKwave score" can predict treatment success after SWL, but all of them have poor discrimination according to AUC analysis.
研究影响 SWL 结果的因素,验证三个当前的列线图(Kim JK、Triple D 和 S3HoCKwave),并比较它们在预测上尿路结石 SWL 结果方面的预测能力。
回顾性分析 2013 年 3 月至 2020 年 10 月期间接受 SWL 治疗的肾结石和近端输尿管结石患者的病历。采用多因素 logistic 回归分析影响 SWL 成功率的因素,并比较三种预测评分系统的曲线下面积(AUC)。
共纳入 580 例患者。总的结石清除率为 61%,580 例患者中有 144 例(24.8%)在一次治疗后结石清除。多因素 logistic 回归分析显示,肾盂上段(OR:2.988;95%CI:1.350-6.612;p=0.007)、肾盂中段(OR:3.036;95%CI:1.472-6.258;p=0.003)和肾盂下段(OR:2.131;95%CI:1.182-3.839;p=0.012)结石位置、结石数量(OR:1.663;95%CI:1.140-2.425;p=0.008)、结石最大直径(OR:1.156;95%CI:1.098-1.217;p<0.001)和最大亨氏单位(OR:1.001;95%CI:1.001-1.002;p<0.001)是 SWL 失败的独立危险因素。Kim JK、Triple D 和 S2HoCKwave 评分预测 SWL 成功的 AUC 分别为 0.678、0.548 和 0.626。
结石位置、数量、最大直径和最大 HU 是上尿路结石 SWL 治疗结果的独立预测因素。目前的列线图,“Kim JK 列线图”、“Triple D 评分”和“S3HoCKwave 评分”可以预测 SWL 后的治疗成功率,但根据 AUC 分析,它们的区分度都较差。