Pediatric HCT in Florida (2014 ‐2016): A report from the FPBCC. (27th November 2020)

• Record Type: Journal Article
• Authors: Chellapandian, Deepak; Sunkersett, Gauri; Oshrine, Benjamin; Galvez Silva, Jorge; Ziga, Edward; Alperstein, Warren; Joyce, Michael; Katzenstein, Howard; Godder, Kamar; Castillo, Paul; Barredo, Julio; Fort, John; Shaw, Peter H.; Nieder, Michael L.; Cline, Jessica; Yang, Fan; Horn, Biljana
• Is Part Of: Pediatric transplantation. Volume 25:Number 5(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-11-27
• Subjects: Florida consortium -- outcomes -- pediatric HCT; Transplantation of organs, tissues, etc. in children -- Periodicals; 617.95408305
• DOI: 10.1111/petr.13931
• Languages: English
• ISSNs: 1397-3142

Abstract

Abstract: FPBCC was formed in 2018 by five pediatric transplant programs in Florida. One of the key objectives of the consortium is to provide outcome analyses by combining HCT data from all the participating centers in order to identify areas for improvement. In this first FPBCC landscape report we describe the patient and transplant characteristics of pediatric patients undergoing first allo and auto HCT between 2014 and 2016 in Florida. The source of data was eDBtC of the CIBMTR. Over the span of 3 years, a total of 230 pediatric patients underwent allo‐HCT and 104 underwent auto‐HCT at the participating centers. The most significant predictor of survival in allo‐HCT recipients with malignant disorders was the degree of HLA‐ match, while in the recipients of allo‐HCT with non‐malignant disorders the predictors of survival included age, donor relationship and degree of HLA match. Our analyses identified the need to improve reporting of primary cause of death and improve on donor selection process given that the degree of HLA match remains the most important predictor of survival. This first FPBCC‐wide review describes the trends in pediatric HCT activity between 2014 and 2016 among the participating centers in Florida and confirms feasibility of using eDBtC data platform and collaborative approach in order to identify areas for improvement in outcomes.