ArticleClinical kidney journal2020
A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis.
Article in Clinical kidney journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Genetic diagnosis in fetal hydronephrosis: assessment using chromosomal microarray analysis and whole-genome sequencing.Human genomics · 2026Article
- Antenatally detected urinary tract dilatation: a pediatric nephrologist's point of view.Childhood kidney diseases · 2024Review
- Article
- Antenatally detected urinary tract dilatation: long-term outcome.Pediatric nephrology (Berlin, Germany) · 2023Review
- Article
- Postnatal urinary tract dilatation classification: improvement of the accuracy in predicting kidney injury.Pediatric nephrology (Berlin, Germany) · 2022Article
- Conversations for the future in the follow-up of antenatally diagnosed renal pelvicalyceal dilatation.Pediatric nephrology (Berlin, Germany) · 2021Article
- Antenatally detected urinary tract dilatation: a 12-15-year follow-up.Pediatric nephrology (Berlin, Germany) · 2020Article
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAntenatal hydronephrosis (ANH) affects ∼1-5% of pregnancies. The aim of this study was to develop a clinical prediction model of renal injury in a large cohort of infants with isolated ANH.
methodsThis is a longitudinal cohort study of 447 infants with ANH admitted since birth between 1989 and 2015 at a tertiary care center. The primary endpoint was time until the occurrence of a composite event of renal injury, which includes proteinuria, hypertension and chronic kidney disease (CKD). A predictive model was developed using a Cox proportional hazards model and evaluated by
resultsRenal pelvic dilatation (RPD) was classified into two groups [Grades 1-2 (
conclusionOur findings indicate an uneventful clinical course for patients with Society for Fetal Urology (SFU) Grades 1-2 ANH. Conversely, for infants with SFU Grades 3-4 ANH, our prediction model enabled the identification of a subgroup of patients with increased risk of renal injury over time.
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