Use este identificador para citar o ir al link de este elemento: http://hdl.handle.net/1843/57391
Tipo: Artigo de Periódico
Título: A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis
Autor(es): Fernanda P. Costa
Ana C. Simões e Silva
Robert H. Mak
Joachim H. Ix
Mariana A. Vasconcelos
Cristiane Dos Santos Dias
Carolina C. Fonseca
Maria Christina L. Oliveira
Eduardo A. Oliveira
Resumen: 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 ¼ 255) versus Grades 3–4 (n ¼ 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.
Asunto: Insuficiência Renal Crônica
Hipertensão
Proteinuria
Injúria Renal Aguda
Infecções Urinárias
Idioma: eng
País: Brasil
Editor: Universidade Federal de Minas Gerais
Sigla da Institución: UFMG
Departamento: MED - DEPARTAMENTO DE PEDIATRIA
Tipo de acceso: Acesso Aberto
Identificador DOI: https://doi.org/10.1093/ckj/sfz102
URI: http://hdl.handle.net/1843/57391
Fecha del documento: 19-ago-2019
metadata.dc.url.externa: https://academic.oup.com/ckj/article/13/5/834/5551403
metadata.dc.relation.ispartof: Clinical Kidney Journal
Aparece en las colecciones:Artigo de Periódico

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