ArticleClinical journal of the American Society of Nephrology : CJASN2014
A predictive model of progression of CKD to ESRD in a predialysis pediatric interdisciplinary program.
Article in Clinical journal of the American Society of Nephrology : CJASN, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 49 citations in OpenAlex.
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- Clinical outcomes of renin angiotensin system inhibitor-based dual antihypertensive regimens in chronic kidney disease: a network meta-analysis.Scientific reports · 2023Article
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- A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis.Clinical kidney journal · 2020Article
- Epidemiology and Outcome of CKD in Omani Children.Kidney international reports · 2019Article
- Comparison and development of machine learning tools in the prediction of chronic kidney disease progression.Journal of translational medicine · 2019Article
- Predicting outcomes of chronic kidney disease from EMR data based on Random Forest Regression.Mathematical biosciences · 2019Article
- A clinical predictive model of renal injury in children with congenital solitary functioning kidney.Pediatric nephrology (Berlin, Germany) · 2019Article
- Predicting risk of hospitalisation: a retrospective population-based analysis in a paediatric population in Emilia-Romagna, Italy.BMJ open · 2018Article
- Contribution of symmetric dimethylarginine to GFR decline in pediatric chronic kidney disease.Pediatric nephrology (Berlin, Germany) · 2018Observational
- Development and validation of a risk prediction model for end-stage renal disease in patients with type 2 diabetes.Scientific reports · 2017Article
- Renal Interstitial Fibrosis: An Imperfect Predictor of Kidney Disease Progression in Some Patient Cohorts.American journal of nephrology · 2016Article
- Type of Referral, Dialysis Start and Choice of Renal Replacement Therapy Modality in an International Integrated Care Setting.PloS one · 2016Observational
- A predictive model of progressive chronic kidney disease in idiopathic nephrotic syndrome.Pediatric nephrology (Berlin, Germany) · 2015Article
- Predictors of Rapid Progression of Glomerular and Nonglomerular Kidney Disease in Children and Adolescents: The Chronic Kidney Disease in Children (CKiD) Cohort.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2015Observational
- Anthropometric and biochemical profile of children and adolescents with chronic kidney disease in a predialysis pediatric interdisciplinary program.TheScientificWorldJournal · 2015Observational
- Multidisciplinary treatment for patients with chronic kidney disease in pre-dialysis minimizes costs: a four-year retrospective cohort analysis.Jornal brasileiro de nefrologiaArticle
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesThe incidence of ESRD in children has increased over the last two decades. Nevertheless, there are still limited data on risk factors related to the emergence of ESRD among patients with CKD. The aim of this study was to develop a model of prediction of ESRD in children and adolescents with CKD (stages 2-4) enrolled in a predialysis interdisciplinary management program. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: In this retrospective cohort study, 147 patients with CKD admitted from 1990 to 2008 were systematically followed up at a tertiary pediatric nephrology unit for a median of about 4.5 years. The primary outcome was the progression to CKD stage 5. A predictive model was developed using Cox proportional hazards model and evaluated by c statistics.
resultsThe median renal survival was estimated at 98.7 months (95% confidence interval [95% CI], 68.7 to 129.6 months). The probability of reaching CKD stage 5 was estimated as 52% in 10 years. The most accurate model included eGFR, proteinuria at admission, and primary renal disease. Risk score ranged from 0 to 13 points (median, 4 points). The accuracy of the score applied to the sample was high, with c statistics of 0.865 (95% CI, 0.80 to 0.93) and 0.837 (95% CI, 0.76 to 0.91) at follow-up of 2 and 5 years, respectively. By survival analysis, it was estimated that at 10 years after admission, the probability of renal survival was about 63% for patients in the low-risk group and 43% for the medium-risk group; all patients assigned to the high-risk group had CKD stage 5 (P<0.001).
conclusionThe predictive model of progression of CKD might contribute to early identification of a subgroup of patients at high risk for accelerated renal failure.
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