2019
DOI: 10.3389/fped.2019.00120
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A Predictive Model of Postnatal Surgical Intervention in Children With Prenatally Detected Congenital Anomalies of the Kidney and Urinary Tract

Abstract: The aim of this study was to identify predictive factors and develop a model to assess individualized risk of postnatal surgical intervention in patients with antenatal hydronephrosis. This is a retrospective cohort study of 694 infants with prenatally detected congenital anomalies of kidney and urinary tract with a median follow-up time of 37 months. The main event of interest was postnatal surgical intervention. A predictive model was developed using Cox model with internal validation by bootstrap technique.… Show more

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Cited by 7 publications
(2 citation statements)
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“…However, there is no consensus on the criteria for surgical intervention. Cox proportional hazards regression has been applied to assess the association between candidate predictors, such as eGFR, associated hydronephrosis, kidney damage, and the severity of dilatation of renal pelvis, and the need of surgery in children with prenatally detected CAKUT 13 . In addition, some possible indications for surgery, according to the classification of the Society for Fetal Urology (SFU) of 2015 14 , include grade 4 or 5 of hydronephrosis, in which there is dilation of the renal calyces with impaired renal parenchyma 12 .…”
Section: Discussionmentioning
confidence: 99%
“…However, there is no consensus on the criteria for surgical intervention. Cox proportional hazards regression has been applied to assess the association between candidate predictors, such as eGFR, associated hydronephrosis, kidney damage, and the severity of dilatation of renal pelvis, and the need of surgery in children with prenatally detected CAKUT 13 . In addition, some possible indications for surgery, according to the classification of the Society for Fetal Urology (SFU) of 2015 14 , include grade 4 or 5 of hydronephrosis, in which there is dilation of the renal calyces with impaired renal parenchyma 12 .…”
Section: Discussionmentioning
confidence: 99%
“…The predictive models have been extensively useful in medical practice to screen for diseases, establish diagnosis and prognosis to guide therapeutical decision-making, and inform patients about the possible natural history of certain conditions or prognoses after some intervention received [ 12 ]. Commonly, quite complex health-related multivariate models are developed and tested [ 13 , 14 ]. From other areas of knowledge, we can observe that the most complex models better predict an outcome of interest [ 15 ].…”
Section: Introductionmentioning
confidence: 99%