Evidence map›Paper›PMID 40800102›Full record

ArticleTranslational andrology and urology2025

Development of a prediction model for risk of breakthrough urinary tract infection in children with primary vesicoureteral reflux.

Zhenzhen Yang, Jiayi Li, Pei Liu, Ning Sun, Hongcheng Song, Weiping Zhang

Abstract read
In one paragraph

Article in Translational andrology and urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhenzhen Yang *Department of Urology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.ORCID https://orcid.org/0000-0002-6906-3697
Jiayi Li *Department of Urology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.ORCID https://orcid.org/0000-0003-2696-8960
Pei LiuDepartment of Urology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Ning SunDepartment of Urology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Hongcheng SongDepartment of Urology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Weiping ZhangDepartment of Urology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many factors influence the risk of breakthrough urinary tract infection (BTUTI) in children with primary vesicoureteral reflux (VUR). Distal ureteral diameter ratio (UDR) and VUR index (VURx) have been shown in studies as predictors of BTUTI. We aimed to establish a predictive model through selecting voiding cystourethrography (VCUG)-related parameters in combination with clinical parameters for BTUTI in children with primary VUR. Methods: A retrospective cohort analysis was conducted on the clinical characteristics and VCUG-related parameters of patients with primary VUR. Univariable and multivariable analyses were performed to identify independent predictors and develop a model for predicting the probability of BTUTI. We compared our model against two other metrics for predicting BTUTI: the distal UDR and the VURx. The area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, and decision curve analysis (DCA) were used to evaluate the predictive performance of the model. Results: A total of 193 patients were included in this study. Based on the results of univariable and multivariable analyses, three variables of sex (female) [odds ratio (OR): 3.39; 95% confidence interval (CI): 1.57-7.33], high-grade VUR (OR: 2.27; 95% CI: 0.98-5.25), and ureterovesical junction diameter of ureter (UVJ diameter) (OR: 5.85; 95% CI: 1.81-18.92) were used to create a prediction model and a nomogram. The AUCs for our model, the UDR, and the VURx in predicting the occurrence of BTUTI were 0.736, 0.680, and 0.546, respectively. The DCA revealed the clinical usefulness of the model. Conclusions: This study identified three independent variables, namely, female sex, high-grade VUR, and UVJ diameter, for predicting the probability of BTUTI in primary VUR. The model and nomogram established in this study can greatly assist urologists in individualizing the management of primary VUR patients.

Indexed as

breakthrough urinary tract infection (BTUTI)high-grade VURprediction modelPrimary vesicoureteral reflux (primary VUR)ureterovesical junction diameter of ureter (UVJ diameter)

Identifiers

PMID40800102
PMCPMC12336739

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