Evidence map›Paper›PMID 42787748›Full record

ArticleEuropean journal of obstetrics & gynecology and reproductive biology: X2026

Development of a fetal renal ultrasound score for predicting neonatal renal dysfunction.

Alessia Maria Merone, Sara Mannolini, Marco Zaffanello, Elena Mantovani, Irene Maria Padovani, Milena Brugnara, Valentino Bergamini, Gabriele Saccone, Francesca Presti

Abstract read
In one paragraph

Article in European journal of obstetrics & gynecology and reproductive biology: X, 2026. 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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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

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Alessia Maria MeroneDepartment of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy.
Sara MannoliniDepartment of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy.
Marco ZaffanelloDepartment of Surgery, Dentistry, Gynecology and Pediatrics, University of Verona, Verona, Italy.
Elena MantovaniDepartment of Surgery, Dentistry, Gynecology and Pediatrics, University of Verona, Verona, Italy.
Irene Maria PadovaniDepartment of Surgery, Dentistry, Gynecology and Pediatrics, University of Verona, Verona, Italy.
Milena BrugnaraDepartment of Surgery, Dentistry, Gynecology and Pediatrics, University of Verona, Verona, Italy.
Valentino BergaminiDepartment of Surgery, Dentistry, Gynecology and Pediatrics, University of Verona, Verona, Italy.
Gabriele SacconeDepartment of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy.
Francesca PrestiDepartment of Surgery, Dentistry, Gynecology and Pediatrics, University of Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Neonatal renal dysfunction is a congenital abnormality of renal development caused by disrupted interaction between the ureteric bud and the metanephric blastema, resulting in disorganized renal parenchyma and variable degrees of functional impairment. Prenatal diagnosis remains challenging due to the limited specificity of ultrasound findings and the frequent need for postnatal confirmation. A standardized prenatal ultrasound score may improve identification of fetuses at higher risk of neonatal renal dysfunction among those with suspected renal abnormalities. Methods: We conducted a single-center retrospective observational study including 59 pregnancies with fetuses showing ultrasound features suggestive of renal pathology. A prenatal ultrasound score was constructed using five routinely assessed parameters: renal parenchymal hyperechogenicity, hydronephrosis severity, renal longitudinal diameter, corticomedullary differentiation, and amniotic fluid index. Postnatal renal outcome was determined using clinical, radiological, and/or histopathological data. Results: A prenatal ultrasound score ≥ 6 was associated with a predicted probability of neonatal renal dysfunction exceeding 50%. A progressive dose-response relationship was observed between increasing prenatal scores and adverse renal outcomes. Fetuses diagnosed postnatally with neonatal renal dysfunction had significantly higher prenatal ultrasound scores compared with those with similar prenatal findings but preserved renal function at birth. Conclusions: A composite prenatal ultrasound score integrating routinely assessed renal parameters is associated with neonatal renal dysfunction in fetuses with suspected renal pathology. Higher scores identify an increasing risk of adverse renal outcome and may support prenatal prognostic assessment.

Indexed as

FetalKidneyNeonatal renal dysfunctionPregnancyRenal diseaseRenal outcomeUltrasound

Identifiers

PMID42787748
PMCPMC13602134

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.