Evidence map›Paper›PMID 41438006›Full record

ArticleRisk management and healthcare policy2025

Construction and Evaluation of Nomogram Prediction Model for Urinary Tract Infection After Transurethral Bipolar Plasmakinetic Prostatectomy.

Pengfei Diao, Suquan Zhong, Dong Chen, Hangtao Wang, Yiying Zheng, Jinhua Wang, Chao Tian

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Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Pengfei Diao *Department of Urology, Yuebei People's Hospital, Shaoguan, Guangdong, 512026, People's Republic of China.
Suquan Zhong *Department of Urology, Yuebei People's Hospital, Shaoguan, Guangdong, 512026, People's Republic of China.
Dong ChenDepartment of Urology, Yuebei People's Hospital, Shaoguan, Guangdong, 512026, People's Republic of China.
Hangtao WangDepartment of Urology, Yuebei People's Hospital, Shaoguan, Guangdong, 512026, People's Republic of China.
Yiying ZhengDepartment of Urology, Yuebei People's Hospital, Shaoguan, Guangdong, 512026, People's Republic of China.
Jinhua WangDepartment of Urology, Yuebei People's Hospital, Shaoguan, Guangdong, 512026, People's Republic of China.
Chao TianDepartment of Urology, Yuebei People's Hospital, Shaoguan, Guangdong, 512026, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

prostatic hyperplasiarisk factorstransurethral bipolar plasmakinetic prostatectomyurinary tract infection

Identifiers

PMID41438006
PMCPMC12719639

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