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A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis

BACKGROUND: Antenatal 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. METHODS: This is a longitudinal cohort study of 447 infants with ANH admitted since birth between...

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Autores principales: Costa, Fernanda P, Simões e Silva, Ana C, Mak, Robert H, Ix, Joachim H, Vasconcelos, Mariana A, Dias, Cristiane S, Fonseca, Carolina C, Oliveira, Maria Christina L, Oliveira, Eduardo A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577777/
https://www.ncbi.nlm.nih.gov/pubmed/33123360
http://dx.doi.org/10.1093/ckj/sfz102
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author Costa, Fernanda P
Simões e Silva, Ana C
Mak, Robert H
Ix, Joachim H
Vasconcelos, Mariana A
Dias, Cristiane S
Fonseca, Carolina C
Oliveira, Maria Christina L
Oliveira, Eduardo A
author_facet Costa, Fernanda P
Simões e Silva, Ana C
Mak, Robert H
Ix, Joachim H
Vasconcelos, Mariana A
Dias, Cristiane S
Fonseca, Carolina C
Oliveira, Maria Christina L
Oliveira, Eduardo A
author_sort Costa, Fernanda P
collection PubMed
description BACKGROUND: Antenatal 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. METHODS: This 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 C-statistics. RESULTS: Renal pelvic dilatation (RPD) was classified into two groups [Grades 1–2 (n = 255) versus Grades 3–4 (n = 192)]. The median follow-up time was 6.4 years (interquartile range 2.8–12.5). Thirteen patients (2.9%) developed proteinuria, 6 (1.3%) hypertension and 14 (3.1%) CKD Stage 2. All events occurred in patients with RPD Grades 3–4. After adjustment, three covariables remained as predictors of the composite event: creatinine {hazard ratio [HR] 1.27, [95% confidence interval (CI) 1.05–1.56]}, renal parenchyma thickness at birth [HR 0.78(95% CI 0.625–0.991)] and recurrent urinary tract infections [HR 4.52 (95% CI 1.49–13.6)]. The probability of renal injury at 15 years of age was estimated as 0, 15 and 24% for patients assigned to the low-risk, medium-risk and high-risk groups, respectively (P < 0.001). CONCLUSION: Our 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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spelling pubmed-75777772020-10-28 A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis Costa, Fernanda P Simões e Silva, Ana C Mak, Robert H Ix, Joachim H Vasconcelos, Mariana A Dias, Cristiane S Fonseca, Carolina C Oliveira, Maria Christina L Oliveira, Eduardo A Clin Kidney J Original Articles BACKGROUND: Antenatal 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. METHODS: This 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 C-statistics. RESULTS: Renal pelvic dilatation (RPD) was classified into two groups [Grades 1–2 (n = 255) versus Grades 3–4 (n = 192)]. The median follow-up time was 6.4 years (interquartile range 2.8–12.5). Thirteen patients (2.9%) developed proteinuria, 6 (1.3%) hypertension and 14 (3.1%) CKD Stage 2. All events occurred in patients with RPD Grades 3–4. After adjustment, three covariables remained as predictors of the composite event: creatinine {hazard ratio [HR] 1.27, [95% confidence interval (CI) 1.05–1.56]}, renal parenchyma thickness at birth [HR 0.78(95% CI 0.625–0.991)] and recurrent urinary tract infections [HR 4.52 (95% CI 1.49–13.6)]. The probability of renal injury at 15 years of age was estimated as 0, 15 and 24% for patients assigned to the low-risk, medium-risk and high-risk groups, respectively (P < 0.001). CONCLUSION: Our 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. Oxford University Press 2019-08-19 /pmc/articles/PMC7577777/ /pubmed/33123360 http://dx.doi.org/10.1093/ckj/sfz102 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Articles
Costa, Fernanda P
Simões e Silva, Ana C
Mak, Robert H
Ix, Joachim H
Vasconcelos, Mariana A
Dias, Cristiane S
Fonseca, Carolina C
Oliveira, Maria Christina L
Oliveira, Eduardo A
A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis
title A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis
title_full A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis
title_fullStr A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis
title_full_unstemmed A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis
title_short A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis
title_sort clinical predictive model of renal injury in children with isolated antenatal hydronephrosis
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577777/
https://www.ncbi.nlm.nih.gov/pubmed/33123360
http://dx.doi.org/10.1093/ckj/sfz102
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