Open AccessCombining the disease risk index and hematopoietic cell transplant co‐morbidity index provides a comprehensive prognostic model for CD34 + ‐selected allogeneic transplantation
Author(s) -
Cho Christina,
Hilden Patrick,
Avecilla Scott T.,
Barker Juliet N.,
CastroMalaspina Hugo,
Giralt Sergio A.,
Gyurkocza Boglarka,
Jakubowski Ann A.,
Maloy Molly A.,
O’Reilly Richard J.,
Papadopoulos Esperanza B.,
Peled Jonathan U.,
Ponce Doris M.,
Shaffer Brian,
Tamari Roni,
Brink Marcel R. M.,
Young James W.,
Barba Pere,
Perales MiguelAngel
Publication year - 2021
Publication title -
advances in cell and gene therapy
Language(s) - English
Resource type - Journals
ISSN - 2573-8461
DOI - 10.1002/acg2.103
Subject(s) - medicine , cumulative incidence , proportional hazards model , univariate analysis , oncology , transplantation , hematopoietic stem cell transplantation , population , incidence (geometry) , gastroenterology , multivariate analysis , physics , environmental health , optics
T cell depletion by CD34 + cell selection of hematopoietic stem cell allografts ex vivo reduces the incidence and severity of GvHD, without increased risk of relapse in patients with acute leukemia in remission or MDS. The optimal candidate for CD34 + ‐selected HCT remains unknown, however. Objective To determine outcomes based on both disease‐ and patient‐specific factors, we evaluated a prognostic model combining the Disease Risk Index (DRI) and Hematopoietic Cell Transplantation Comorbidity Index (HCT‐CI), an approach recently shown to predict overall survival in a broad population of allograft recipients (Kongtim P, Parmar S, Milton DR, et al. Impact of a novel prognostic model, hematopoietic cell transplant‐composite risk (HCT‐CR), on allogeneic transplant outcomes in patients with acute myeloid leukemia and myelodysplastic syndrome. Bone Marrow Transplant . 2019;54(6):839‐48). Methods This was a retrospective analysis of 506 adult recipients of first allogeneic HCT with CD34 + selected PBSCs from 7/8‐ or 8/8‐matched donors for AML (n = 290), ALL (n = 72), or MDS (n = 144). The Kaplan‐Meier method estimated OS and RFS. The cumulative incidence method for competing risks estimated relapse and non‐relapse mortality (NRM). We evaluated the univariate association between variables of interest and OS and RFS using the log‐rank test. Cox regression models assessed the adjusted effect of covariates on OS/RFS. Results Stratification of patients based on a composite of DRI (low/intermediate vs high/very high) and HCT‐CI (0‐2 vs ≥3) revealed differences in OS and RFS between the four groups. Compared with reference groups of patients with low/intermediate DRI and low or high HCT‐CI, those with high DRI had a greater risk of death (HR 2.30; 95% CI 1.39, 3.81) and relapse or death (HR 2.50; 95% CI 1.55, 4.05) than patients with any HCT‐CI but low/intermediate DRI (HR death 1.80; 95% CI 1.34, 2.43; HR relapse/death 1.68; 95% CI 1.26, 2.24). Conclusions and Clinical Implications A model combining DRI and HCT‐CI predicted survival after CD34 + cell‐selected HCT. Application of this combined model to other cohorts, both in retrospective analyses and prospective trials, will enhance clinical decision making and patient selection for different transplant approaches.