Predicting outcome after listing for heart transplantation in children: comparison of Kaplan-Meier and parametric competing risk analysis. Pediatric Heart Transplant Study Group

J Heart Lung Transplant. 1997 Jul;16(7):713-22.

Abstract

After listing for pediatric heart transplantation, at any point in time one of the following possibilities could have occurred; death, transplantation, removal from the list because of clinical improvement, or continuing to wait. In the setting of those competing outcomes, the Kaplan-Meier estimate portrays the time-relatedness of an event while ignoring the effect of the other possible outcomes. The competing outcomes method, however, depicts the time relatedness of an event while solving for all possible events simultaneously. The competing outcomes method may potentially provide more accurate information regarding the actual proportion of patients experience an outcome after listing.

MeSH terms

  • Adolescent
  • Child
  • Child, Preschool
  • Female
  • Heart Transplantation / mortality
  • Heart Transplantation / statistics & numerical data*
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Multivariate Analysis
  • Proportional Hazards Models
  • Risk Factors
  • Survival Rate
  • Time Factors
  • Treatment Outcome
  • Waiting Lists