Does success in percutaneous nephrolithotomy depend only on stone size? Analysis of the predictive capacity for success and complications of the current nephrolithometry scoring systems and their relationship with the stone surface
{"title":"Does success in percutaneous nephrolithotomy depend only on stone size? Analysis of the predictive capacity for success and complications of the current nephrolithometry scoring systems and their relationship with the stone surface","authors":"","doi":"10.1016/j.acuroe.2024.05.010","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div><span>To analyze the predictive capacity of the nephrolithometry scoring systems (GSS, STONE, </span>CROES<span> and S-ReSC) and stone surface regarding success and complications following percutaneous nephrolithotomy (PCNL).</span></div></div><div><h3>Methods</h3><div>We studied 392 patients who had undergone PCNL in our center. Only patients with a non-contrast CT (n = 240) were finally included for analysis. The predictive capacities for success and complications of the different scoring systems were evaluated using ROC curves and their area under the curve (AUC).</div></div><div><h3>Results</h3><div>Regarding success, the S-ReSC system had the highest predictive capacity with an AUC of 0.681 (95% CI 0.610−0.751), followed by the CROES with 0.667 (95% CI 0.595−0.738), the STONE with 0.654 (95% CI 0.579−0.728) and finally the GSS with 0.626 (95% CI 0.555−0.698). The stone surface as a single variable had an AUC of 0.641 (95% CI 0.565−0.718). As for complications, the S-ReSC had the highest AUC with 0.664 (95% CI 0.57−0.758), followed by STONE with 0.663 (95% CI 0.572−0.755), GSS with 0.626 (95% CI 0.555).−0.698) and CROES with 0.614 (95% CI 0.518−0.7). The stone surface alone had an AUC of 0.616 (95% CI 0.522−0.715).</div></div><div><h3>Conclusion</h3><div>The nephrolithometry scales analyzed show a moderate predictive capacity for success and complications in patients undergoing PCNL in our center. Moreover, stone surface as an independent variable demonstrates moderate predictive capacity for both outcomes.</div></div>","PeriodicalId":94291,"journal":{"name":"Actas urologicas espanolas","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Actas urologicas espanolas","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2173578624000702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
To analyze the predictive capacity of the nephrolithometry scoring systems (GSS, STONE, CROES and S-ReSC) and stone surface regarding success and complications following percutaneous nephrolithotomy (PCNL).
Methods
We studied 392 patients who had undergone PCNL in our center. Only patients with a non-contrast CT (n = 240) were finally included for analysis. The predictive capacities for success and complications of the different scoring systems were evaluated using ROC curves and their area under the curve (AUC).
Results
Regarding success, the S-ReSC system had the highest predictive capacity with an AUC of 0.681 (95% CI 0.610−0.751), followed by the CROES with 0.667 (95% CI 0.595−0.738), the STONE with 0.654 (95% CI 0.579−0.728) and finally the GSS with 0.626 (95% CI 0.555−0.698). The stone surface as a single variable had an AUC of 0.641 (95% CI 0.565−0.718). As for complications, the S-ReSC had the highest AUC with 0.664 (95% CI 0.57−0.758), followed by STONE with 0.663 (95% CI 0.572−0.755), GSS with 0.626 (95% CI 0.555).−0.698) and CROES with 0.614 (95% CI 0.518−0.7). The stone surface alone had an AUC of 0.616 (95% CI 0.522−0.715).
Conclusion
The nephrolithometry scales analyzed show a moderate predictive capacity for success and complications in patients undergoing PCNL in our center. Moreover, stone surface as an independent variable demonstrates moderate predictive capacity for both outcomes.