Combining the disease risk index and hematopoietic cell transplant co-morbidity index provides a comprehensive prognostic model for CD34+-selected allogeneic transplantation

Christina Cho, Patrick Hilden, Scott T. Avecilla, Juliet N. Barker, Hugo Castro-Malaspina, Sergio A. Giralt, Boglarka Gyurkocza, Ann A. Jakubowski, Molly A. Maloy, Richard J. O’Reilly, Esperanza B. Papadopoulos, Jonathan U. Peled, Doris M. Ponce, Brian Shaffer, Roni Tamari, Marcel R. M. van den Brink, James W. Young, Pere Barba, Miguel-Angel Perales
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引用次数: 0

Abstract

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.

将疾病风险指数和造血细胞移植合并发病指数相结合,为CD34+选择的同种异体移植提供了一个全面的预后模型
通过CD34+细胞选择的造血干细胞移植物离体T细胞耗竭可降低GvHD的发生率和严重程度,而不会增加急性白血病缓解期或MDS患者的复发风险。然而,CD34+选择的HCT的最佳候选者仍然未知。目的为了根据疾病和患者特异性因素来确定预后,我们评估了一种结合疾病风险指数(DRI)和造血细胞移植共病指数(HCT-CI)的预后模型,这是一种最近被证明可以预测广泛同种异体移植物受者总体生存率的方法(Kongtim P,Parmar S,Milton DR等。一种新的预后模型,造血细胞移植复合风险(HCT-CR),对急性髓细胞白血病和骨髓增生异常综合征患者异基因移植结果的影响。骨髓移植。2019年;54(6):839-48)。方法对506名首次接受CD34+同种异体HCT的成年受者进行回顾性分析,这些受者来自7/8或8/8匹配的AML(n=290)、ALL(n=72)或MDS(n=144)供体。Kaplan-Meier方法估计OS和RFS。竞争风险的累积发病率法估计复发和非复发死亡率(NRM)。我们使用对数秩检验评估了感兴趣变量与OS和RFS之间的单变量关联。Cox回归模型评估了协变量对OS/RFS的调整效应。结果根据DRI(低/中等vs高/极高)和HCT-CI(0-2 vs≥3)的复合数据对患者进行分层,发现四组之间OS和RFS存在差异。与低/中等DRI和低或高HCT-CI患者的参考组相比,高DRI患者的死亡风险(HR 2.30;95%CI 1.39,3.81)和复发或死亡风险(HR2.50;95%CI 1.55,4.05)高于任何HCT-CI但DRI低/中等的患者(HR死亡1.80;95%CI 1.34,2.43;HR复发/死亡1.68;95%CI 1.26,2.24)。结论和临床意义DRI联合模型并且HCT-CI预测CD34+细胞选择的HCT后的存活率。在回顾性分析和前瞻性试验中,将这种组合模型应用于其他队列,将加强不同移植方法的临床决策和患者选择。
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