[Nomogram prediction model for the risk of bladder stones in patients with benign prostatic hyperplasia].

Q4 Medicine
中华男科学杂志 Pub Date : 2025-04-01
En-Xu Xie, Xiao-Han Chu, Sheng-Wei Zhang, Zhong-Pei Zhang, Xing-Hua Zhao, Chang-Bao Xu
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引用次数: 0

Abstract

Objective: The aim of this study is to investigate the independent risk factors of benign prostatic hyperplasia (BPH) complicated with bladder stones, and construct a nomogram prediction model for clinical progression of bladder stones in patients with BPH.

Methods: The clinical data of 368 BPH patients who underwent transurethral resection of the prostate in the Second Affiliated Hospital of Zhengzhou University from January 2018 to January 2021 were retrospectively analyzed. Patients with BPH were divided into group 1 (with bladder stones, n=94) and group 2 (without bladder stones, n=274). Univariate and multivariate logistic regression analyses were performed to determine the independent risk factors of bladder stones in patients with BPH. A nomogram model was developed, and the areas under the ROC curve and calibration curve were calculated to assess the accuracy of clinical application.

Results: Logistic analysis showed that age (HR:1.075,95%CI:1.032 to 1.120), hypertension (HR:2.801,95%CI:1.520 to 5.161), blood uric acid (HR:1.006,95%CI:1.002 to 1.010), intravesical prostatic protrusion (HR:1.189,95%CI1.119 to 1.264), prostatic urethral angel(HR:1.127,95%CI:1.078to 1.178)were independent risk factors for bladder stones in patients with BPH. The discrimination of the nomogram model based on independent risk factors to predict the occurrence of bladder stones in patients with BPH was 0.874.

Conclusion: The nomogram model can predict the risk of bladder stones in BPH patients with good differentiation and calibration, which is a good guide for clinical work on BPH patients with high risk of bladder stones.

【良性前列腺增生患者膀胱结石风险的Nomogram预测模型】。
目的:探讨良性前列腺增生(BPH)合并膀胱结石的独立危险因素,构建BPH患者膀胱结石临床进展的nomogram预测模型。方法:回顾性分析2018年1月至2021年1月郑州大学第二附属医院行经尿道前列腺切除术的368例BPH患者的临床资料。BPH患者分为1组(合并膀胱结石94例)和2组(未合并膀胱结石274例)。通过单因素和多因素logistic回归分析确定前列腺增生患者膀胱结石的独立危险因素。建立nomogram模型,计算ROC曲线和校正曲线下的面积,评估临床应用的准确性。结果:Logistic分析显示,年龄(HR:1.075,95%CI:1.032 ~ 1.120)、高血压(HR:2.801,95%CI:1.520 ~ 5.161)、血尿酸(HR:1.006,95%CI:1.002 ~ 1.010)、膀胱内前列腺突出(HR:1.189,95%CI: 1.119 ~ 1.264)、前列腺尿道角度(HR:1.127,95%CI:1.078 ~ 1.178)是前列腺增生患者膀胱结石的独立危险因素。基于独立危险因素的nomogram模型预测BPH患者膀胱结石发生的判别率为0.874。结论:nomogram模型能较好地预测BPH患者发生膀胱结石的风险,具有较好的鉴别和校准作用,对BPH高危膀胱结石患者的临床工作具有较好的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
中华男科学杂志
中华男科学杂志 Medicine-Medicine (all)
CiteScore
0.40
自引率
0.00%
发文量
5367
期刊介绍: National journal of andrology was founded in June 1995. It is a core journal of andrology and reproductive medicine, published monthly, and is publicly distributed at home and abroad. The main columns include expert talks, monographs (basic research, clinical research, evidence-based medicine, traditional Chinese medicine), reviews, clinical experience exchanges, case reports, etc. Priority is given to various fund-funded projects, especially the 12th Five-Year National Support Plan and the National Natural Science Foundation funded projects. This journal is included in about 20 domestic databases, including the National Science and Technology Paper Statistical Source Journal (China Science and Technology Core Journal), the Source Journal of the China Science Citation Database, the Statistical Source Journal of the China Academic Journal Comprehensive Evaluation Database (CAJCED), the Full-text Collection Journal of the China Journal Full-text Database (CJFD), the Overview of the Chinese Core Journals (2017 Edition), and the Source Journal of the Top Academic Papers of China's Fine Science and Technology Journals (F5000). It has been included in the full text of the American Chemical Abstracts, the American MEDLINE, the American EBSCO, and the database.
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