Combining the Disease Risk Index and Hematopoietic Cell Transplant Co-Morbidity Index provides a comprehensive

Christina Cho1,2, Patrick Hilden3, Scott T Avecilla4

  • 1Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Advances in Cell and Gene Therapy
|November 7, 2022
PubMed

Insights

A combined prognostic model using the Disease Risk Index and Hematopoietic Cell Transplantation Comorbidity Index effectively predicts survival outcomes after CD34+ selected hematopoietic stem cell transplantation. This approach aids in selecting optimal candidates for transplantation.

Area of Science:

  • Hematology
  • Transplant Immunology
  • Oncology

Background:

  • T cell depletion via CD34+ cell selection in allogeneic hematopoietic stem cell transplantation (HCT) reduces graft-versus-host disease (GvHD) without increasing relapse risk.
  • Identifying optimal candidates for CD34+ selected HCT is crucial for improving patient outcomes.

Purpose of the Study:

  • To evaluate a prognostic model combining the Disease Risk Index (DRI) and Hematopoietic Cell Transplantation Comorbidity Index (HCT-CI).
  • To determine patient outcomes based on disease- and patient-specific factors in the context of CD34+ selected HCT.

Main Methods:

  • Retrospective analysis of 506 adult recipients of first allogeneic HCT with CD34+ selected peripheral blood stem cells (PBSCs).
  • Patients received grafts from 7/8- or 8/8-matched donors for acute myeloid leukemia (AML), acute lymphoblastic leukemia (ALL), or myelodysplastic syndromes (MDS).
  • Kaplan-Meier and competing risks methods were used to estimate overall survival (OS), relapse-free survival (RFS), relapse, and non-relapse mortality (NRM).

Main Results:

  • Stratification by composite DRI and HCT-CI revealed significant differences in OS and RFS.
  • High DRI was associated with a greater risk of death and relapse or death compared to low/intermediate DRI.
  • The combined model demonstrated predictive value for survival post-transplant.

Conclusions:

  • A prognostic model integrating DRI and HCT-CI effectively predicts survival after CD34+ selected HCT.
  • This combined model can enhance clinical decision-making and patient selection for HCT.
  • Further application in retrospective analyses and prospective trials is recommended.