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Erschienen in: Pediatric Nephrology 3/2022

28.08.2021 | Original Article

Postnatal urinary tract dilatation classification: improvement of the accuracy in predicting kidney injury

verfasst von: Fernanda F. Melo, Mariana A. Vasconcelos, Robert H. Mak, Ana Cristina Simões e Silva, Cristiane S. Dias, Enrico A. Colosimo, Ludmila R. Silva, Maria Christina L. Oliveira, Eduardo A. Oliveira

Erschienen in: Pediatric Nephrology | Ausgabe 3/2022

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Abstract

Background

The grading of urinary tract dilatation (UTD) on postnatal sonography is a fundamental step to establish rational management for infants with antenatal hydronephrosis (ANH). The aim of this study was to compare the prediction accuracy of UTD grading systems for relevant clinical outcomes. In addition, we propose a refinement of the UTD classification by adding quantitative measurements and evaluate its impact on accuracy.

Methods

Between 1989 and 2019, 447 infants diagnosed with isolated AHN were prospectively followed. The events of interest were surgical interventions and kidney injury. Comparison of performance of the grading systems and the impact on the accuracy of a modified UTD classification (including the size of the kidney parenchyma) was assessed by the area under the receiver-operating characteristic curve (AUC).

Results

Of 447 infants, 131 (29%) underwent surgical intervention and 26 (5.8%) had developed kidney injury. The median follow-up time was 9 years (IQ range, 7–12 years). The performance for detecting the need for surgical intervention was excellent for all grading systems (AUC > 0.90). However, for predicting kidney injury, the modified UTD classification exhibited significant improvement in accuracy (AUC = 0.913, 95%CI, 0.883–0.937) as compared with UTD classification (AUC = 0.887, 95%CI, 0.854–0.915) (P = 0.027).

Conclusions

Our study confirms that the hydronephrosis grading systems provide excellent accuracy in discriminating patients who need surgical intervention among infants with AHN. Our findings suggest that the inclusion of kidney parenchymal thickness to UTD classification might increase the accuracy for predicting infants who may develop kidney injury.

Graphical abstract

A higher resolution version of the Graphical abstract is available as Supplementary information.
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Metadaten
Titel
Postnatal urinary tract dilatation classification: improvement of the accuracy in predicting kidney injury
verfasst von
Fernanda F. Melo
Mariana A. Vasconcelos
Robert H. Mak
Ana Cristina Simões e Silva
Cristiane S. Dias
Enrico A. Colosimo
Ludmila R. Silva
Maria Christina L. Oliveira
Eduardo A. Oliveira
Publikationsdatum
28.08.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Pediatric Nephrology / Ausgabe 3/2022
Print ISSN: 0931-041X
Elektronische ISSN: 1432-198X
DOI
https://doi.org/10.1007/s00467-021-05254-x

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