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预测“纯”尿酸尿结石与“混合”尿酸尿结石的列线图。

A nomogram to predict "pure" vs. "mixed" uric acid urinary stones.

机构信息

Institute of Urology, Rabin Medical Center, Petah Tikva, Israel.

Faculty of Medical and Health Sciences, Tel-Aviv University, Tel Aviv, Israel.

出版信息

World J Urol. 2024 Oct 31;42(1):610. doi: 10.1007/s00345-024-05340-3.

Abstract

PURPOSE

Uric acid stones (UAS) can be treated non-invasively by oral chemolysis. However, it is crucial to identify individuals who are most likely to benefit from this approach, specifically, patients with pure UAS. The aim of this study was to develop a nomogram that can differentiate between pure and mixed UAS.

METHODS

A retrospective analysis of demographic, clinical and stone composition data of patients with a predominant UAS composition (≥ 50%) treated between 2014 and 2022.

RESULTS

A total of 135 patients were included in the analysis, 37.8% had mixed UAS (50-90% UA) and 62.2% had pure UAS (≥ 95% UA). The mean stone density and the percentage of radiopaque stones in the pure UAS group were significantly lower than those in the mixed UAS group (450 Hounsfield Units [HU] vs. 600 HU, and 24% vs. 58%, respectively). A stepwise multivariate logistic regression revealed that lower stone density, bigger size, decreased stone opacity and older age are predictive variables for pure UAS. Accordingly, a nomogram was generated with a receiver operating characteristic (ROC) curve that showed an area under the curve (AUC) of 0.78. A patient with a total score of 156 has a probability of > 95% for pure UAS.

CONCLUSION

Imaging and demographic data can be used to identify patients with pure UAS. The nomogram may be useful for counseling patients regarding oral chemolysis. Future validation of the nomogram with a different data set is required to assess its efficacy.

摘要

目的

尿酸结石(UAS)可以通过口服化学溶石治疗进行非侵入性治疗。然而,确定最有可能受益于这种方法的个体至关重要,特别是纯 UAS 患者。本研究旨在开发一种列线图,以区分纯和混合 UAS。

方法

回顾性分析 2014 年至 2022 年间治疗的主要 UAS 成分(≥50%)的患者的人口统计学、临床和结石成分数据。

结果

共有 135 名患者纳入分析,37.8%为混合 UAS(50-90%UA),62.2%为纯 UAS(≥95%UA)。纯 UAS 组的平均结石密度和不透射线结石的百分比明显低于混合 UAS 组(450 亨氏单位[HU]与 600 HU,分别为 24%与 58%)。逐步多变量逻辑回归显示,较低的结石密度、较大的结石、结石不透明度降低和年龄较大是纯 UAS 的预测变量。因此,生成了一个列线图,其接收者操作特征(ROC)曲线显示曲线下面积(AUC)为 0.78。总分为 156 的患者患有纯 UAS 的概率>95%。

结论

影像学和人口统计学数据可用于识别纯 UAS 患者。该列线图可能有助于就口服化学溶石治疗对患者进行咨询。需要使用不同的数据集对该列线图进行进一步验证,以评估其疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2952/11527961/db3ab3eab316/345_2024_5340_Fig1_HTML.jpg

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