Literature DB >> 24942863

A predictive model of chronic kidney disease in patients with congenital anomalies of the kidney and urinary tract.

Isabel G Quirino1, Cristiane S Dias, Mariana A Vasconcelos, Isabel V Poggiali, Kerlane C Gouvea, Alamanda K Pereira, Gabriela P Paulinelli, Amanda R Moura, Raquel S Ferreira, Enrico A Colosimo, Ana Cristina Simões E Silva, Eduardo A Oliveira.   

Abstract

BACKGROUND: The antenatal detection of congenital anomalies of the kidney and urinary tract (CAKUT) has permitted early management of these conditions. The aim of this study was to identify predictive factors associated with chronic kidney disease (CKD) in CAKUT. We also propose a risk score of CKD.
METHODS: In this cohort study, 822 patients with prenatally detected CAKUT were followed up for a median time of 43 months. The primary outcome was CKD stage III or higher. A predictive model was developed using the Cox proportional hazards model and evaluated by using c statistics.
RESULTS: Chronic kidney disease occurred in 49 of the 822 (6 %) children with prenatally detected CAKUT. The most accurate model included bilateral hydronephrosis, oligohydramnios, estimated glomerular filtration rate and postnatal diagnosis. The accuracy of the score was 0.95 [95 % confidence interval (CI) 0.89-0.99] and 0.92 (95 % CI 0.86-0.95) after a follow-up of 2 and 10 years, respectively. Based on survival curves, we estimated that at 10 years of age, the probability of survival without CKD stage III was approximately 98 and 58 % for the patients assigned to the low-risk and high-risk groups, respectively (p < 0.001).
CONCLUSIONS: Our predictive model of CKD may contribute to an early identification of a subgroup of patients at high risk for renal impairment. It should be pointed out, however, that this model requires external validation in a different cohort.

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Year:  2014        PMID: 24942863     DOI: 10.1007/s00467-014-2870-z

Source DB:  PubMed          Journal:  Pediatr Nephrol        ISSN: 0931-041X            Impact factor:   3.714


  49 in total

Review 1.  Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker.

Authors:  Karel G M Moons; Andre Pascal Kengne; Mark Woodward; Patrick Royston; Yvonne Vergouwe; Douglas G Altman; Diederick E Grobbee
Journal:  Heart       Date:  2012-03-07       Impact factor: 5.994

Review 2.  Prognosis of antenatally diagnosed oligohydramnios of renal origin.

Authors:  Markus J Kemper; Dirk E Mueller-Wiefel
Journal:  Eur J Pediatr       Date:  2007-01-05       Impact factor: 3.183

Review 3.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

4.  Clinical course of 822 children with prenatally detected nephrouropathies.

Authors:  Isabel G Quirino; Jose Silverio S Diniz; Maria Candida F Bouzada; Alamanda K Pereira; Thais J Lopes; Gabriela M Paixão; Natalia N Barros; Luisa C Figueiredo; Antonio Carlos V Cabral; Ana Cristina Simões e Silva; Eduardo A Oliveira
Journal:  Clin J Am Soc Nephrol       Date:  2012-01-19       Impact factor: 8.237

Review 5.  Insights into the pathogenesis and natural history of fetuses with renal pelvis dilatation.

Authors:  Khalid Ismaili; Michelle Hall; Amy Piepsz; Marc Alexander; Claude Schulman; Fred E Avni
Journal:  Eur Urol       Date:  2005-03-08       Impact factor: 20.096

Review 6.  Paper 4: EUROCAT statistical monitoring: identification and investigation of ten year trends of congenital anomalies in Europe.

Authors:  Maria Loane; Helen Dolk; Alan Kelly; Conor Teljeur; Ruth Greenlees; James Densem
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2011-03-04

7.  Prognostic factors in fetal hydronephrosis: a multivariate analysis.

Authors:  E A Oliveira; J S Diniz; A C Cabral; H V Leite; E A Colosimo; R B Oliveira; A S Vilasboas
Journal:  Pediatr Nephrol       Date:  1999-11       Impact factor: 3.714

8.  Assessing the performance of prediction models: a framework for traditional and novel measures.

Authors:  Ewout W Steyerberg; Andrew J Vickers; Nancy R Cook; Thomas Gerds; Mithat Gonen; Nancy Obuchowski; Michael J Pencina; Michael W Kattan
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

Review 9.  Reporting performance of prognostic models in cancer: a review.

Authors:  Susan Mallett; Patrick Royston; Rachel Waters; Susan Dutton; Douglas G Altman
Journal:  BMC Med       Date:  2010-03-30       Impact factor: 8.775

10.  High frequency of kidney and urinary tract anomalies in asymptomatic first-degree relatives of patients with CAKUT.

Authors:  Burcu Bulum; Z Birsin Ozçakar; Evren Ustüner; Ebru Düşünceli; Aslı Kavaz; Duygu Duman; Katherina Walz; Suat Fitoz; Mustafa Tekin; Fatoş Yalçınkaya
Journal:  Pediatr Nephrol       Date:  2013-06-28       Impact factor: 3.714

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  2 in total

1.  Predictors of Rapid Progression of Glomerular and Nonglomerular Kidney Disease in Children and Adolescents: The Chronic Kidney Disease in Children (CKiD) Cohort.

Authors:  Bradley A Warady; Alison G Abraham; George J Schwartz; Craig S Wong; Alvaro Muñoz; Aisha Betoko; Mark Mitsnefes; Frederick Kaskel; Larry A Greenbaum; Robert H Mak; Joseph Flynn; Marva M Moxey-Mims; Susan Furth
Journal:  Am J Kidney Dis       Date:  2015-03-19       Impact factor: 8.860

Review 2.  Severe antenatally diagnosed renal disorders: background, prognosis and practical approach.

Authors:  Wiebke Aulbert; Markus J Kemper
Journal:  Pediatr Nephrol       Date:  2015-06-17       Impact factor: 3.714

  2 in total

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