title: Predicting outcome after listing for heart transplantation in children: comparison of Kaplan-Meier and parametric competing risk analysis. Pediatric Heart Transplant Study Group.
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.
authors.affiliation: Department of Surgery, University of Alabama at Birmingham 35294-0007, USA.
authors.forename: D C
authors.initials: DC
authors.lastname: McGiffin
authors.forename: D C
authors.initials: DC
authors.lastname: Naftel
authors.forename: J K
authors.initials: JK
authors.lastname: Kirklin
authors.forename: W R
authors.initials: WR
authors.lastname: Morrow
authors.forename: J
authors.initials: J
authors.lastname: Towbin
authors.forename: R
authors.initials: R
authors.lastname: Shaddy
authors.forename: J
authors.initials: J
authors.lastname: Alejos
authors.forename: A
authors.initials: A
authors.lastname: Rossi
mesh_terms: D000293:Adolescent; D002648:Child; D002675:Child, Preschool; D005260:Female; D016027:Heart Transplantation / Q000401:mortality / Q000706:statistics & numerical data*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D015999:Multivariate Analysis; D016016:Proportional Hazards Models; D012307:Risk Factors; D015996:Survival Rate; D013997:Time Factors; D016896:Treatment Outcome; D014850:Waiting Lists