A Predictive Model of Postnatal Surgical Intervention in Children With Prenatally Detected Congenital Anomalies of the Kidney and Urinary Tract
| Autor: | Eduardo A Oliveira, Robert H. Mak, Mariana A. Vasconcelos, Ana Paula Campos, Yvonne Vergouwe, Cristiane S. Dias, Ewout W. Steyerberg, Ana Cristina Simões e Silva, Carolina C Fonseca |
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| Přispěvatelé: | Public Health |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Pediatrics
medicine.medical_specialty Urinary system Renal function surgical intervention Prenatal diagnosis 030204 cardiovascular system & hematology predictive model 03 medical and health sciences 0302 clinical medicine 030225 pediatrics congenital anomalies of kidney and urinary tract Antenatal Hydronephrosis antenatal hydronephrosis Medicine Hydronephrosis Original Research Kidney prenatal diagnosis business.industry Proportional hazards model lcsh:RJ1-570 lcsh:Pediatrics Retrospective cohort study medicine.disease medicine.anatomical_structure Pediatrics Perinatology and Child Health business |
| Zdroj: | Frontiers in Pediatrics Frontiers in Pediatrics, 7:120. Frontiers Media S.A. Frontiers in Pediatrics, Vol 7 (2019) |
| ISSN: | 2296-2360 |
| Popis: | 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. Of 694 patients, 164 (24%) infants underwent surgical intervention in a median age of 7.8 months. Predictors of the surgical intervention in the model were: baseline glomerular filtration rate, associated hydronephrosis, presence of renal damage and the severity of renal pelvic dilatation. The optimism corrected c statistic for the model was 0.84 (95%CI, 0.82-0.87). The predictive model may contribute to identify infants at high risk for surgical intervention. Further studies are necessary to validate the model in patients from other settings. |
| Databáze: | OpenAIRE |
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