ArticleFrontiers in pediatrics2019
A Predictive Model of Postnatal Surgical Intervention in Children With Prenatally Detected Congenital Anomalies of the Kidney and Urinary Tract.
Article in Frontiers in pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Congenital Anomalies of Kidney and Urinary Tract in Children - Clinical Spectrum and Complications.Indian journal of pediatrics · 2026Article
- Renal function in pediatric urologic surgical patients: Insight from the National Surgical Quality Improvement Program-Pediatric cohort.Current urology · 2025Article
- Genetic and Clinical Factors Influencing Congenital Anomalies of the Kidney and Urinary Tract in Children: Insights from Prenatal and Postnatal Assessments.Biomedicines · 2024Article
- Article
- Congenital anomalies of the kidney and urinary tract: defining risk factors of disease progression and determinants of outcomes.Pediatric nephrology (Berlin, Germany) · 2023Review
- How combining different caries lesions characteristics may be helpful in short-term caries progression prediction: model development on occlusal surfaces of primary teeth.BMC oral health · 2021Article
- Non-surgical management of vesicoureteral junction obstruction: a case report.Jornal brasileiro de nefrologiaArticle
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
Abstract
The aim of this study was to identify predictive factors and develop a model to assess individualized risk of postnatal surgical intervention in patients with antenatal hydronephrosis. This is a retrospective cohort study of 694 infants with prenatally detected congenital anomalies of kidney and urinary tract with a median follow-up time of 37 months. The main event of interest was postnatal surgical intervention. A predictive model was developed using Cox model with internal validation by bootstrap technique. Of 694 patients, 164 (24%) infants underwent surgical intervention in a median age of 7.8 months. Predictors of the surgical intervention in the model were: baseline glomerular filtration rate, associated hydronephrosis, presence of renal damage and the severity of renal pelvic dilatation. The optimism corrected c statistic for the model was 0.84 (95%CI, 0.82-0.87). The predictive model may contribute to identify infants at high risk for surgical intervention. Further studies are necessary to validate the model in patients from other settings.
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