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已发表论文
经尿道双极等离子前列腺电切术后尿路感染列线图预测模型的构建与评价
Authors Diao P, Zhong S, Chen D, Wang H, Zheng Y, Wang J, Tian C
Received 11 May 2025
Accepted for publication 8 December 2025
Published 17 December 2025 Volume 2025:18 Pages 3901—3910
DOI https://doi.org/10.2147/RMHP.S539684
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Keon-Hyung Lee
Pengfei Diao,* Suquan Zhong,* Dong Chen, Hangtao Wang, Yiying Zheng, Jinhua Wang, Chao Tian
Department of Urology, Yuebei People’s Hospital, Shaoguan, Guangdong, 512026, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Chao Tian, Department of Urology, Yuebei People’s Hospital, Huimin South Road, Wujiang District, Shaoguan, Guangdong, 512026, People’s Republic of China, Email chaoge18203@sina.com
Objective: To explore the risk factors of urinary tract infection after transurethral bipolar plasmakinetic prostatectomy (TUPKP) in patients with prostatic hyperplasia (BPH), to construct a nomogram model for predicting postoperative urinary tract infection, and evaluate the differentiation and consistency of the model.
Methods: A total of 580 BPH patients who underwent TUPKP between October 2016 and October 2022 were included as the modeling group, and 115 patients treated from November 2022 to November 2024 formed the validation group. Patients were classified into UTI and non-UTI groups based on the occurrence of UTI within 1 month postoperatively. Clinical data were analyzed using univariate and multivariate logistic regression to identify risk factors. A nomogram was constructed using R software, and its performance was assessed with ROC and calibration curves.
Results: The incidence of postoperative UTI in the modeling group was 14.83%. Compared with the non-UTI group, the UTI group had significantly higher age, diabetes prevalence, preoperative catheterization, and routine nursing ratio, along with longer operation and catheterization times, and shorter antibiotic use duration (P< 0.05). Multivariate analysis revealed that age (OR=1.061), diabetes (OR=1.889), operation time (OR=1.063), and indwelling catheter time (OR=1.912) were independent risk factors (P< 0.05). The nomogram demonstrated good discrimination (AUC=0.825, 95% CI: 0.780– 0.869) and calibration (Hosmer-Lemeshow test P=0.390). External validation showed similar performance (AUC=0.818, 95% CI: 0.711– 0.925) with good consistency.
Conclusion: Age, diabetes, duration of surgery, and postoperative indwelling catheter time are risk factors for urinary tract infection in patients with benign prostatic hyperplasia undergoing TUPKP. The constructed nomogram model demonstrates good discrimination and consistency.
Keywords: prostatic hyperplasia, transurethral bipolar plasmakinetic prostatectomy, urinary tract infection, risk factors
Department of Urology, Yuebei People’s Hospital, Shaoguan, Guangdong, 512026, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Chao Tian, Department of Urology, Yuebei People’s Hospital, Huimin South Road, Wujiang District, Shaoguan, Guangdong, 512026, People’s Republic of China, Email chaoge18203@sina.com
Objective: To explore the risk factors of urinary tract infection after transurethral bipolar plasmakinetic prostatectomy (TUPKP) in patients with prostatic hyperplasia (BPH), to construct a nomogram model for predicting postoperative urinary tract infection, and evaluate the differentiation and consistency of the model.
Methods: A total of 580 BPH patients who underwent TUPKP between October 2016 and October 2022 were included as the modeling group, and 115 patients treated from November 2022 to November 2024 formed the validation group. Patients were classified into UTI and non-UTI groups based on the occurrence of UTI within 1 month postoperatively. Clinical data were analyzed using univariate and multivariate logistic regression to identify risk factors. A nomogram was constructed using R software, and its performance was assessed with ROC and calibration curves.
Results: The incidence of postoperative UTI in the modeling group was 14.83%. Compared with the non-UTI group, the UTI group had significantly higher age, diabetes prevalence, preoperative catheterization, and routine nursing ratio, along with longer operation and catheterization times, and shorter antibiotic use duration (P< 0.05). Multivariate analysis revealed that age (OR=1.061), diabetes (OR=1.889), operation time (OR=1.063), and indwelling catheter time (OR=1.912) were independent risk factors (P< 0.05). The nomogram demonstrated good discrimination (AUC=0.825, 95% CI: 0.780– 0.869) and calibration (Hosmer-Lemeshow test P=0.390). External validation showed similar performance (AUC=0.818, 95% CI: 0.711– 0.925) with good consistency.
Conclusion: Age, diabetes, duration of surgery, and postoperative indwelling catheter time are risk factors for urinary tract infection in patients with benign prostatic hyperplasia undergoing TUPKP. The constructed nomogram model demonstrates good discrimination and consistency.
Keywords: prostatic hyperplasia, transurethral bipolar plasmakinetic prostatectomy, urinary tract infection, risk factors