Literature DB >> 27017936

Predicting Risk of Chronic Kidney Disease in Infants and Young Children at Diagnosis of Posterior Urethral Valves: Initial Ultrasound Kidney Characteristics and Validation of Parenchymal Area as Forecasters of Renal Reserve.

Rakan Odeh1, Damien Noone2, Paul R Bowlin3, Luis H P Braga4, Armando J Lorenzo5.   

Abstract

PURPOSE: There is paucity of validated objective early imaging markers to help predict future renal deterioration in infants with posterior urethral valves. We evaluated the prognostic value of total renal parenchymal area, renal echogenicity and corticomedullary differentiation regarding future development of chronic kidney disease.
MATERIALS AND METHODS: We analyzed initial postnatal ultrasonographic images from serial posterior urethral valve cases seen at a single tertiary referral center using National Institutes of Health sponsored image processing software. Echogenicity and corticomedullary differentiation were objectively measured as ratios relative to the adjacent liver or spleen and between cortex and medulla. The primary study outcome, renal function at last followup, was dichotomized based on glomerular filtration rate and/or need for renal replacement therapy (dialysis or renal transplantation, stage 5 chronic kidney disease).
RESULTS: A total of 75 patients were evaluated, of whom 16 had progression to stage 5 chronic kidney disease after a mean ± SD followup of 64.2 ± 38.9 months. Mean renal parenchymal area was 21.41 cm(2) in patients without and 16 cm(2) in patients with stage 5 chronic kidney disease (p <0.001), and mean corticomedullary differentiation was 1.77 and 1.21, respectively (p <0.001). Bilateral echogenic kidneys were significantly associated with development of stage 5 chronic kidney disease (p = 0.004). The performance of corticomedullary differentiation in predicting stage 5 chronic kidney disease was statistically significant (AUROC 0.881, 95% CI 0.776-0.987, p <0.001).
CONCLUSIONS: Estimates of renal parenchyma quantity (total renal parenchymal area) and quality (corticomedullary differentiation and renal echogenicity) measured on initial postnatal ultrasound carry prognostic value in determining future risk of stage 5 chronic kidney disease in patients with posterior urethral valves. These data are promising for developing tools to risk stratify patients, counsel parents and customize monitoring protocols.
Copyright © 2016 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  kidney cortex; kidney medulla; renal insufficiency, chronic; renal replacement therapy; urethra

Mesh:

Year:  2016        PMID: 27017936     DOI: 10.1016/j.juro.2016.03.137

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  5 in total

1.  A clinical predictive model of chronic kidney disease in children with posterior urethral valves.

Authors:  Mariana A Vasconcelos; Ana Cristina Simões E Silva; Izabella R Gomes; Rafaela A Carvalho; Sergio V Pinheiro; Enrico A Colosimo; Peter Yorgin; Robert H Mak; Eduardo A Oliveira
Journal:  Pediatr Nephrol       Date:  2018-09-08       Impact factor: 3.714

2.  Fetal uropathies: pre- and postnatal imaging, management and follow-up.

Authors:  Marie Cassart
Journal:  Pediatr Radiol       Date:  2022-07-16

Review 3.  Predicting and Modifying Risk for Development of Renal Failure in Boys with Posterior Urethral Valves.

Authors:  Christopher J Long; Diana K Bowen
Journal:  Curr Urol Rep       Date:  2018-05-17       Impact factor: 3.092

4.  Survival and Kidney Outcomes of Children with an Early Diagnosis of Posterior Urethral Valves.

Authors:  Katherine W Herbst; Paul Tomlinson; Gina Lockwood; Maua H Mosha; Zhu Wang; Cynthia D'Alessandri-Silva
Journal:  Clin J Am Soc Nephrol       Date:  2019-10-03       Impact factor: 8.237

5.  Diagnosis of Chronic Kidney Disease by Three-Dimensional Contrast-Enhanced Ultrasound Combined with Augmented Reality Medical Technology.

Authors:  Yan Zhuang; Juanjuan Sun; Jiaqiang Liu
Journal:  J Healthc Eng       Date:  2021-03-16       Impact factor: 2.682

  5 in total

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