ArticlePediatric nephrology (Berlin, Germany)2023
A novel risk score for predicting prolonged length of stay following pediatric kidney transplant.
Article in Pediatric nephrology (Berlin, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 2 citations in OpenAlex.
- Hospitalization Costs of Kidney Transplantation Associated With Induction Therapy Among Pediatric Kidney Transplant Recipients: A North American Pediatric Renal Trials and Collaborative Studies and Pediatric Health Information System Collaborative Study.Pediatric transplantation · 2026Article
- Kidney Transplantation in Congenital Heart Disease Patients: What Are the Outcomes?Pediatric transplantation · 2025Article
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5 authors at 1 institution in 1 country.
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Abstract
backgroundKidney transplants (KT) are accepted as the kidney replacement therapy of choice for children with kidney failure. The surgery itself may be more difficult especially in small children, and often leads to significant hospital stays. There is little research on predicting prolonged length of stay (LOS) in children. We aim to examine the factors associated with prolonged LOS following pediatric KT to help clinicians make informed decisions, better counsel families, and potentially reduce preventable causes of prolonged stay.
methodsWe retrospectively analyzed the United Network for Organ Sharing database for all KT recipients less than 18 years old between January 2014 and July 2022 (n = 3693). Donor and recipient factors were tested in univariate and multivariate logistic analysis using stepwise elimination of non-significant factors to create a final regression model predicting LOS longer than 14 days. Values were assigned to significant factors to create risk scores for each individual patient.
resultsIn the final model, only primary diagnosis of focal segmental glomerulosclerosis, dialysis prior to KT, geographic region, and recipient weight prior to KT were significant predictors of LOS longer than 14 days. The C-statistic of the model is 0.7308. The C-statistic of the risk score is 0.7221.
conclusionsKnowledge of the risk factors affecting prolonged LOS following pediatric KT can help identify patients at risk of increased resource use and potential hospital-acquired complications. Using our index, we identified some of these specific risk factors and created a risk score that can stratify pediatric recipients into low, medium, or high risk groups. A higher resolution version of the Graphical abstract is available as Supplementary information.
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