Construction and validation of a visual prediction model for the risk of urinary tract infection after PKRP surgery
10.3969/j.issn.1673-9701.2024.12.004
- VernacularTitle:PKRP术后尿路感染发生风险可视化预测模型构建与验证
- Author:
Fan YE
1
;
Yuying WAN
2
;
Ping TU
3
;
Chuntao XU
1
Author Information
1. Department of Urology, the Second Affiliated Hospital of Nanchang University, Nanchang 330036, Jiangxi, China
2. Department of Hospital Infection Control, the Second Affiliated Hospital of Nanchang University, Nanchang 330036, Jiangxi, China
3. Department of Anesthesiology and Perioperative Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang 330036, Jiangxi, China
- Publication Type:Journal Article
- Keywords:
Prostatic hyperplasia;
Urinary tract infection;
Prediction;
Nomogram
- From:
China Modern Doctor
2024;62(12):19-23
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the influencing factors of postoperative urinary tract infection in patients undergoing transurethral resection of the prostate with plasmakinetic energy(PKRP)and establish a risk prediction nomogram model.Methods The data of PKRP patients in Department of Urology,the Second Affiliated Hospital of Nanchang University from December 2020 to September 2021 were selected as the modeling set,and the high-risk factors were screened by univariate analysis and Logistic regression analysis.The risk prediction nomogram model was constructed and verified internally and externally.Results The incidence of urinary tract infection after PKRP surgery was 15.38%.Multivariate analysis showed that age,other location infection,diabetes,preoperative catheterization,urethral injury,indwelling catheter material,hair coloring catheter replacement times and number of indwelling catheterization were risk factors for urinary tract infection(P<0.05).Internal verification(area under the curve was 0.875)and external verification(area under the curve was 0.869)show that the risk prediction nomogram model has good discrimination and accuracy.Conclusion The influencing factors of urinary tract infection after PKRP are complex.The risk prediction nomogram model has good prediction performance,which can provide a basis for the prevention and treatment of urinary tract infection after PKRP.
