Pediatric length-of-stay index following liver transplantation

Pediatr Transplant. 2020 Nov;24(7):e13779. doi: 10.1111/petr.13779. Epub 2020 Jul 28.

Abstract

Background: PELD scores are used to reduce waitlist mortality, but they do not accurately predict likelihood of prolonged length-of-stay or higher costs associated with it. This study aims to create a pediatric length-of-stay (LOS) index to predict increased risk of prolonged stay following liver transplantation.

Methods: The scoring system generated predicts length-of-stay following pediatric liver transplantation. With univariate and multivariate analyses on data from 5669 pediatric liver transplant recipients, independent recipient/donor risk factors for prolonged stay (>30 days) were identified. Multiple imputations accounted for missing variables.

Results: The most significant factors were ICU admission (OR 2.92, CI 2.27-3.75), recipient bilirubin >32 (OR 2.35, CI 1.70-3.25), and hemodialysis 1 week before transplantation (OR 2.27, CI 1.57-3.27). The LOS index assigns weighted scoring points to factors to predict prolonged stay (C-statistic of .72). The index demonstrated discrimination across the population after dividing it into quartiles for prolonged stay.

Conclusions: The pediatric LOS index, utilizing 13 donor/recipient factors, can assess the risk for pediatric liver transplantation prolonged stay. Important predictive factors are hemodialysis, ICU admission, recipient weight and bilirubin, and recipient life support status.

Keywords: ICU admission; hemodialysis; length-of-stay index; multivariate analysis; pediatric end-stage liver disease score; pediatric liver transplantation.

Publication types

  • Multicenter Study

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Child
  • Child, Preschool
  • Female
  • Humans
  • Infant
  • Length of Stay / trends*
  • Liver Transplantation*
  • Male
  • Middle Aged
  • Postoperative Period
  • Prognosis
  • Retrospective Studies
  • Risk Factors
  • Tissue Donors*
  • Transplant Recipients / statistics & numerical data*
  • United States / epidemiology
  • Waiting Lists / mortality
  • Young Adult