Comorbidity Measures In Ex Vivo T Cell Depleted Allogeneic Hematopoietic Stem Cell Transplantation (HCT)

• Published in: Blood 2013-11, Vol.122 (21), p.2124-2124
• Main Authors: Quan Le, Robert, Jain, Natasha A, Tian, Xin, Ito, Sawa, Lu, Kit, Haggerty, Janice, Draper, Debbie A, Chawla, Kamna, Barrett, A. John, Battiwalla, Minoo
• Format: Article
• Language: English
• ISSN: 0006-4971; 1528-0020
• DOI: 10.1182/blood.V122.21.2124.2124

Clinical comorbidity measures enhance the estimates of HCT tolerance and outcomes, thereby aiding therapeutic decisions. Ex vivo T cell depletion (TCD) of the graft reduces the risk of graft-versus-host disease and improves the tolerability of allogeneic transplantation in patients with impaired pretransplant performance. However, prediction tools such as the hematopoietic cell transplantation-specific comorbidity index (HCT-CI), have only been validated in conventional T-replete HCT. To improve outcome prediction in TCD transplants we therefore evaluated published comorbidity measures and other potential biomarkers of outcome in a series of myeloablative TCD transplant recipients. Pre transplant (week -2) factors measured were: HCT-CI, ECOG performance status, serum C-reactive protein (CRP), albumin (ALB), pre-albumin (PAB), ferritin, absolute lymphocyte counts (ALC), and absolute lymphocyte / monocyte ratio (LMR). CRP was also studied serially post transplant. CRP increased after conditioning, peaked (p =0.0001) in the first week of HCT, with recovery to baseline at 5 weeks post-HCT. We evaluated outcomes in a cohort of 79 patients in our institute with hematological malignancies receiving myeloablative total-body irradiation, and an HLA-identical sibling peripheral blood HCT, T cell depleted using Miltenyi CD34+ selection. The median age of recipients was 43 years (range 13-68 years). Of the 79, 34 (43%) had standard risk disease, and 45 (57%) recipients had high-risk disease. At a median follow up of ∼ 5 years, overall survival (OS) was 42.9% and nonrelapse mortality (NRM) was 33.9%. Comorbidity measures were first screened to eliminate highly-correlated covariates. Univariate Cox regression models were used to identify significant factors (p