Validation of the Hematopoietic Cell Transplantation-Specific Comorbidity Index: a prospective, multicenter GITMO study

Adjusting diffusing capacity for anemia in patients undergoing allogeneic HCT: a comparison of two methodologies

BACKGROUND

Diffusing capacity (DLCO) measurements are affected by hemoglobin. Two adjustment equations are used: Cotes (recommended by ATS/ERS) and Dinakara (used in the hematopoietic stem cell transplantation comorbidity index [HCT-CI]). It is unknown how these methods compare, and which is better from a prognostication standpoint.

STUDY DESIGN

This is a retrospective cohort of 1273 adult patients who underwent allogeneic HCT, completed a pre-transplant DLCO and had a concurrent hemoglobin measurement. Non-relapse mortality was measured using competing risk analysis.

RESULTS

Patients had normal spirometry (FEV1 99.7% [IQR: 89.4-109.8%; FVC 100.1% [IQR: 91.0-109.6%] predicted), left ventricular ejection fraction (57.2[6.7]%) and right ventricular systolic pressure (30.1[7.0] mmHg). Cotes-DLCO was 85.6% (IQR: 76.5-95.7%) and Dinakara-DLCO was 103.6% (IQR: 90.7-117.2%) predicted. For anemic patients (Hb<10g/dL), Cotes-DLCO was 84.2% (IQR: 73.9-94.1%) while Dinakara-DLCO 111.0% (97.3-124.7%) predicted. Cotes-DLCO increased HCT-CI score for 323 (25.4%) and decreased for 4 (0.3%) patients. Cotes-DLCO was superior for predicting non-relapse mortality: for both mild (66-80% predicted, HR 1.55 [95%CI: 1.26-1.92, p < 0.001]) and moderate (<65% predicted, HR 2.11 [95%CI: 1.55-2.87, p<0.001]) impairment. In contrast, for Dinakara-DLCO, only mild impairment (HR 1.69 [95%CI 1.26-2.27, p < 0.001]) was associated with lower survival while moderate impairment was not (HR 1.44 [95%CI: 0.64-3.21, p = 0.4]). In multivariable analyses, after adjusting for demographics, hematologic variables, cardiac function and FEV1, Cotes-DLCO was predictive of overall survival at 1-year (OR 0.98 [95%CI: 0.97-1.00], p = 0.01), but Dinakara-DLCO was not (OR 1.00 [95%CI: 0.98-1.00], p = 0.20).

CONCLUSION

The ERS/ATS recommended Cotes method likely underestimates DLCO in patients with anemia, whereas the Dinakara (used in the HCT-CI score) overestimates DLCO. The Cotes method is superior to the Dinakara method score in predicting overall survival and relapse-free survival in patients undergoing allogeneic HCT.

Tailoring Therapy in Older Adults With Hematologic Malignancies

Hematologic malignancies most often present in the sixth or seventh decade of life. Even so, many older adults may be unable to tolerate standard chemotherapy or require supplementary care or dose adjustments to do so. Both in community and academic centers, geriatric assessment (GA) can be used to improve the care of older adults with blood cancers. For example, hematologic oncologists can use GA to guide treatment selection, adjusting for patient frailty and goals, as well as prompt initiation of enhanced supportive care. After initial therapy, GA can improve the identification of older adults with aggressive myeloid malignancies who would benefit from hematopoietic cell transplantation (HCT), inform shared decision making, as well as allow transplanters to tailor conditioning regimen, donor selection, graft-versus-host disease prophylaxis, and pre- and post-HCT treatments. As in HCT, GA can improve the care of older patients with relapsed lymphoma or multiple myeloma eligible for chimeric antigen receptor-T therapy, identifying patients at higher risk for toxicity and providing a baseline for subsequent neurocognitive testing. Here, we review the data supporting GA for the care of older adults with blood cancers, from the community to the academic center. In addition, we explore future directions to optimize outcomes for older adults with hematologic malignancies.

Pulmonary function as a continuum of risk: critical care utilization and survival after allogeneic hematopoietic stem cell transplantation - a multicenter cohort study

Abnormal pre-transplant pulmonary function tests (PFTs) are associated with reduced survival after allogeneic HCT. Existing scoring systems consider risk dichotomously, attributing risk only to those with abnormal lung function. In a multicenter cohort of 1717 allo-HCT recipients, we examined the association between pre-transplant PFT measures and need for ICU admission (120d), frequency of mechanical ventilation (120d) and overall survival (5 y). Predictive models were developed and validated using Cox proportional hazards, incorporating age, FEV1 (forced expiratory volume in 1-second) and diffusing capacity (DLCO). In univariate analysis, hazard ratios for each outcome (95% CI) were: mechanical ventilation (FEV1: 0.60 [0.52-0.69], DLCO: 0.69 [0.61-0.77], p < 0.001), ICU admission (FEV1: 0.74 [0.67-0.82], DLCO: 0.79 [0.72-0.86], p < 0.001) and overall survival (FEV1: HR 0.87 [0.81-0.94], DLCO: 0.83 [0.77-0.89], p < 0.001). A multivariable Cox model was developed and compared to the HCT-CI Pulmonary score in a validation cohort. This model was better at predicting need for ICU admission and mechanical ventilation, while both models predicted overall survival (p < 0.001). In conclusion, the risk conferred by pre-transplant pulmonary function should be considered in a continuous rather than dichotomous manner. A more granular prognostication system can better inform risk of critical care utilization in the early post-HCT period.

Longitudinal clinical data improve survival prediction after hematopoietic cell transplantation using machine learning

ABSTRACT

Serial prognostic evaluation after allogeneic hematopoietic cell transplantation (allo-HCT) might help identify patients at high risk of lethal organ dysfunction. Current prediction algorithms based on models that do not incorporate changes to patients' clinical condition after allo-HCT have limited predictive ability. We developed and validated a robust risk-prediction algorithm to predict short- and long-term survival after allo-HCT in pediatric patients that includes baseline biological variables and changes in the patients' clinical status after allo-HCT. The model was developed using clinical data from children and young adults treated at a single academic quaternary-care referral center. The model was created using a randomly split training data set (70% of the cohort), internally validated (remaining 30% of the cohort) and then externally validated on patient data from another tertiary-care referral center. Repeated clinical measurements performed from 30 days before allo-HCT to 30 days afterwards were extracted from the electronic medical record and incorporated into the model to predict survival at 100 days, 1 year, and 2 years after allo-HCT. Naïve-Bayes machine learning models incorporating longitudinal data were significantly better than models constructed from baseline variables alone at predicting whether patients would be alive or deceased at the given time points. This proof-of-concept study demonstrates that unlike traditional prognostic tools that use fixed variables for risk assessment, incorporating dynamic variability using clinical and laboratory data improves the prediction of mortality in patients undergoing allo-HCT.

[Allogeneic hematopoietic stem cell transplantation and treatment with CAR-T cells - identification of psycho-social vulnerability factors: Guidelines from the Francophone Society of Bone Marrow Transplantation and Cellular Therapy (SFGM-TC)]

Allogeneic hematopoietic stem cell transplantation (HCT) and CAR-T cells therapy are treatments with curative aim for certain hematological malignancies, refractory or relapse. Nevertheless, they carry the risk of morbidity and mortality and may have a significant psychosocial impact, particularly for HCT. It is therefore necessary to identify psychological difficulties and social problems, as well as the patient's resources, and those of his entourage, in order to improve his overall management. The objective of this evaluation is not to pose contraindications to treatments, but to adapt the personalized care project. This identification must be carried out early on in the pre-HCT assessment journey to enable the implementation of appropriate actions by the various care providers. Based on a review of the literature, we designed a psychosocial data collection grid that can be initiated in pre-transplant and updated by accompanying the patient at each stage of follow-up (discharge from hospital, day-hospital follow-up, D100 evaluation). This grid is divided into 3 axes: socio-family context, psychological and somatic aspects. This tool allows the traceability of the interventions of different professionals and is a support for multidisciplinary exchanges.

Comparison of Pretransplantation Prediction Models for Nonrelapse Mortality in Patients with Myelofibrosis Undergoing Allogeneic Stem Cell Transplantation

Allogeneic stem cell transplantation (alloSCT) is the only known curative treatment for myelofibrosis (MF). Risk assessment remains important for patient counseling and predicting survival outcomes for relapse and nonrelapse mortality (NRM). Outcome-prediction tools can guide decision-making. Their use in MF has relied on their extrapolation from other malignancies. The primary objective of this study was to assess the performance of the Hematopoietic cell Transplantation Comorbidity Index (HCT-CI), the augmented HCT-CI (aHCT-CI), and the Endothelial Activation and Stress Index (EASIX) in predicting NRM in patients with MF undergoing alloSCT. We retrospectively reviewed patients with MF undergoing alloSCT between 2012 and 2020 at the Mayo Clinic. Data were abstracted from the electronic medical record. EASIX score was calculated before starting conditioning therapy and analyzed based on log2- transformed values. We evaluated the log2-EASIX scores by quartiles to assess the effect of increasing values on NRM. NRM was evaluated using competing risk analyses. We used the Kaplan-Meier and log-rank methods to evaluate OS. The Fine-Gray model was used to determine risk factors for NRM. The performance of HCT-CI and aHCT-CI was compared by evaluation of model concordance given the high correlation between HCT-CI and aHCT-CI (r = .75). A total of 87 patients were evaluated. The median duration of follow-up after alloSCT was 5 years (95% confidence interval [CI], 4.4 to 6.31 years). Patients with a high HCT-CI score had significantly increased cumulative incidence of NRM at 3 years (35.5% versus 11.6%; P = .011) after alloSCT. A progressively increasing 3-year NRM was observed with increasing aHCT-CI risk category, and patients with a high or very high aHCT-CI score had significantly higher 3-year NRM compared to those with intermediate-risk or low-risk aHCT-CI scores at 3 years post-alloSCT (31.9% versus 6.52%; P = .004). An increasing log2-EASIX score quartile was not associated with 3-year NRM (19.0% versus 10.1% versus 25% versus 14.3%; P = .59), and the EASIX score was not found to be a predictor of post-transplantation NRM. A high HCT-CI was associated with significantly worse 3-year overall survival (OS) (hazard ratio [HR], 4.41; 95% CI, 1.97 to 9.87; P < .001). A high or very high aHCT-CI was significantly associated with poor 3-year OS (HR, 3.99; 95% CI, 1.56 to 10.22; P = .004). An increasing log2-EASIX score quartile group was not associated with 3-year OS (3-year OS rate, 66.7% versus 80.4% versus 64.6% versus 76.2%; P = .57). The EASIX score should not be used routinely in patients with MF. Both the HCT-CI and the aHCT-CI are accurate in predicting long-term survival outcomes in this patient population. Further studies are important to validate our findings of the role of EASIX in predicting NRM in patients with MF or other myeloproliferative neoplasms undergoing alloSCT. © 2023 American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc.

Expanded HCT-CI Definitions Capture Comorbidity Better for Younger Patients of Allogeneic HCT for Nonmalignant Diseases

Allogeneic hematopoietic cell transplantation (HCT) can cure many nonmalignant conditions, but concern for morbidity and mortality remains. To help physicians estimate patient-specific transplant mortality risk, the HCT comorbidity index (HCT-CI) is used. However, pediatric physicians use the HCT-CI less frequently than adult counterparts. We used the Center for International Blood and Marrow Transplant Research database to expand the HCT-CI comorbidity definitions to be more inclusive of children and adolescent and young adult (AYA) patients, adding history of mechanical ventilation, history of invasive fungal infection, assessment of chronic kidney disease (CKD) by estimated glomerular filtration rate, expanding the definition of obesity, and adding an underweight category. A total of 2815 children and AYAs (<40 years old) who received first allogeneic HCT for nonmalignant diseases from 2008 to 2017 were included to create an expanded youth nonmalignant HCT-CI (expanded ynHCT-CI) and a simplified non-malignant (simplified ynHCT-CI) HCT-CI. The expanded comorbidities occurred frequently-history of mechanical ventilation (9.6%), history of invasive fungal infection (5.9%), mild CKD (12.2%), moderate/severe CKD (2.1%), obesity (10.9%), and underweight (14.5%). Thirty-nine percent of patients had an increase in their comorbidity score using the expanded ynHCT-CI, leading to a redistribution of scores: ynHCT-CI score 0 (35%), 1-2 (36.4%), and ≥3 (28.6%). Patients with an increase in their comorbidity score had an increased hazard of mortality compared to those whose score remained the same (hazard ratio = 1.41; 95% confidence interval, 1.01-1.98). Modifications to the HCT-CI can benefit children and AYA patients with nonmalignant diseases, creating a risk assessment tool that is clinically relevant and better captures comorbidity in this younger population.

Adapting the HCT-CI Definitions for Children, Adolescents, and Young Adults with Hematologic Malignancies Undergoing Allogeneic Hematopoietic Cell Transplantation

Allogeneic hematopoietic cell transplantation is a curative procedure for hematologic malignancies but is associated with a significant risk of non-relapse mortality (NRM). The Hematopoietic Cell Transplantation-Comorbidity Index (HCT-CI) is a prognostic tool that discriminates this risk in all age groups. A recent survey of transplant physicians demonstrated that 79% of pediatric providers used the HCT-CI infrequently, and most reported concerns about its applicability in the younger population. We conducted a retrospective study using the Center for International Blood and Marrow Transplant Research database to examine the impact of expanded HCT-CI definitions on NRM in pediatric and young adult patients with hematologic malignancies. We included 5790 patients <40 years old receiving allogeneic transplants between 2008 and 2017 to examine broader definitions of comorbidities in the HCT-CI, including history of mechanical ventilation and fungal infection, estimated glomerular filtration rate, and body mass index (BMI) percentiles. Multivariable Fine-Gray models were created to determine the effect of each HCT-CI defining comorbidity and its modification on NRM and were used to develop 2 novel risk scores. We next developed the expanded HCT-CI for children and young adults (youth with malignancies; expanded ymHCT-CI), where 23% patients had an increased comorbidity score, compared to the HCT-CI. Comorbidities with hazard ratio < 1.2 were then removed to create the simplified HCT-CI for children and young adults (youth with malignancies; simplified ymHCT-CI), which demonstrated higher scores corresponded to a greater risk of NRM (P < .001). These novel comorbidity indexes with broader definitions are more relevant to pediatric and young adult patients, and prospective studies are needed to validate these in the younger patient population. It remains to be seen whether the development of these pediatric-specific and practical risk indexes increases their use by the pediatric transplant community.

Applicability of the acute leukemia (AL) - EBMT score as a prognostic model for allogeneic hematopoietic stem cell transplantation: a single-center, prospective, cohort study at a reference transplant center in Brazil

INTRODUCTION

The Acute Leukemia-European Society for Blood and Marrow Transplantation (AL-EBMT) risk score was recently developed and validated by Shouval et al. OBJECTIVE: To assess the ability of this score in predicting the 2-year overall survival (OS-2), leukemia-free survival (LFS-2) and transplant-related mortality (TRM) in acute leukemia (AL) adult patients undergoing a first allogeneic hematopoietic stem cell transplant (HSCT) at a transplant center in Brazil.

METHODS

In this prospective, cohort study, we used the formula published by Shouval et al. to calculate the AL-EBMT score and stratify patients into three risk categories.

RESULTS

A total of 79 patients transplanted between 2008 and 2018 were analyzed. The median age was 38 years. Acute myeloid leukemia was the most common diagnosis (68%). Almost a quarter of the cases were at an advanced stage. All hematopoietic stem cell transplantations (HSCTs) were human leukocyte antigen-matched (HLA-matched) and the majority used familial donors (77%). Myeloablative conditioning was used in 92% of the cases. Stratification according to the AL-EBMT score into low-, intermediate- and high-risk groups yielded the following results: 40%, 12% and 47% of the cases, respectively. The high scoring group was associated with a hazard ratio of 2.1 (p = 0.007), 2.1 (p = 0.009) and 2.47 (p = 0.01) for the 2-year OS, LFS and TRM, respectively.

CONCLUSION

This study supports the ability of the AL-EBMT score to reasonably predict the 2-year post-transplant OS, LFS and TRM and to discriminate between risk categories in adult patients with AL, thus confirming its usefulness in clinical decision-making in this setting. Larger, multicenter studies may further help confirm these findings.

Patient age and donor HLA matching can stratify allogeneic hematopoietic cell transplantation patients into prognostic groups

BACKGROUND

Mixed results surround the accuracy of commonly used prognostic risk scores to predict overall survival (OS) and non-relapse mortality (NRM) in allogeneic hematopoietic stem cell transplant (allo-HCT) recipients. We hypothesize that a simple prognostic score performs better than conventional scoring systems.

PATIENTS AND METHODS

OS risk factors, HCT-CI, age-HCT-CI, and augmented-HCT-CI were studied in 299 patients who underwent allo-HCT for myeloid and lymphoid malignancies. A scoring system was developed based on results and validated in a different cohort of 455 patient.

RESULTS

2-year OS was 51% (95%CI 0.45-0.56). 2-year NRM was 34% (95%CI 0.29-0.39). HCT-CI and associated scores were grouped into 0-2 and ≥3. Age and HLA mismatch status were the only risk factors to affect OS in multivariate analysis (p = 0.02 and 0.05, respectively). HCT-CI and associated scores were not informative for OS prediction. The weighted scoring system assigned 0 to 2 points for age <50, 50 to 64, or ≥65, respectively, and 0 to 1 points for no HLA mismatch versus any mismatch (except HLA-DQ). Distinct 2-year OS [62%, 53%, and 38% (p = <0.001)] and NRM [24%, 34%, and 43% (p = 0.02)] groups were characterized. The scoring system was validated in a second independent cohort with similar results on OS and NRM (p <0.001).

CONCLUSIONS

A simple scoring system based on recipient's age and mismatch status accurately predicts OS and NRM in two distinct cohorts of allo-HCT patients. Its simplicity makes it a helpful tool to aid clinicians and patients in clinical decision making. This article is protected by copyright. All rights reserved.

Utility of the Treatment-Related Mortality (TRM) score to predict outcomes of adults with acute myeloid leukemia undergoing allogeneic hematopoietic cell transplantation

There is long-standing interest in estimating non-relapse mortality (NRM) after allogeneic hematopoietic cell transplantation (HCT) for AML, but existing tools have limited discriminative capacity. Using single-institution data from 861 adults with AML, we retrospectively examined the Treatment-Related Mortality (TRM) score, originally developed to predict early mortality following induction chemotherapy, as a predictor of post-HCT outcome. NRM risks increased stepwise across the four TRM score quartiles (at 3 years: 9% [95% confidence interval: 5-13%] in Q1 vs. 28% [22-34%] in Q4). The 3-year risk of relapse was lower in patients with lower TRM score (26% [20-32%] in Q1 vs. 37% [30-43%] in Q4). Consequently, relapse-free survival (RFS) and overall survival (OS) estimates progressively decreased (RFS at 3 years: 66% [59-72%] in Q1 vs. 36% [29-42%] in Q4; OS at 3 years: 72% [66-78%] in Q1 vs. 39% [33-46%] in Q4). With a C-statistic of 0.661 (continuous variable) or 0.642 (categorized by quartile), the TRM score predicted NRM better than the Pretransplantation Assessment of Mortality (PAM) score (0.603) or the HCT-CI/age composite score (0.576). While post-HCT outcome prediction remains challenging, these findings suggest that the TRM score may be useful for risk stratification for adults with AML undergoing allogeneic HCT.

How We Manage Myelofibrosis Candidates for Allogeneic Stem Cell Transplantation

Moving from indication to transplantation is a critical process in myelofibrosis. Most of guidelines specifically focus on either myelofibrosis disease or transplant procedure, and, currently, no distinct indication for the management of MF candidates to transplant is available. Nevertheless, this period of time is crucial for the transplant outcome because engraftment, non-relapse mortality, and relapse incidence are greatly dependent upon the pre-transplant management. Based on these premises, in this review, we will go through the path of identification of the MF patients suitable for a transplant, by using disease-specific prognostic scores, and the evaluation of eligibility for a transplant, based on performance, comorbidity, and other combined tools. Then, we will focus on the process of donor and conditioning regimens’ choice. The pre-transplant management of splenomegaly and constitutional symptoms, cytopenias, iron overload and transplant timing will be comprehensively discussed. The principal aim of this review is, therefore, to give a practical guidance for managing MF patients who are potential candidates for allo-HCT.

Prevention and Treatment of Acute Myeloid Leukemia Relapse after Hematopoietic Stem Cell Transplantation: The State of the Art and Future Perspectives

Allogeneic hematopoietic stem cell transplantation (HSCT) for high-risk acute myeloid leukemia (AML) represents the only curative option. Progress has been made in the last two decades in the pre-transplant induction therapies, supportive care, selection of donors and conditioning regimens that allowed to extend the HSCT to a larger number of patients, including those aged over 65 years and/or lacking an HLA-identical donor. Furthermore, improvements in the prophylaxis of the graft-versus-host disease and of infection have dramatically reduced transplant-related mortality. The relapse of AML remains the major reason for transplant failure affecting almost 40-50% of the patients. From 10 to 15 years ago to date, treatment options for AML relapsing after HSCT were limited to conventional cytotoxic chemotherapy and donor leukocyte infusions (DLI). Nowadays, novel agents and targeted therapies have enriched the therapeutic landscape. Moreover, very recently, the therapeutic landscape has been enriched by manipulated cellular products (CAR-T, CAR-CIK, CAR-NK). In light of these new perspectives, careful monitoring of minimal-residual disease (MRD) and prompt application of pre-emptive strategies in the post-transplant setting have become imperative. Herein, we review the current state of the art on monitoring, prevention and treatment of relapse of AML after HSCT with particular attention on novel agents and future directions.

Hematopoietic Cell Transplantation-Comorbidity Index Score Is Correlated with Treatment-Related Mortality and Overall Survival following Second Allogeneic Hematopoietic Cell Transplantation in Children

Allogeneic hematopoietic cell transplantation (HCT) can lead to considerable complications and treatment-related mortality (TRM); therefore, a detailed assessment of risks is essential. The Hematopoietic Cell Transplantation-Comorbidity Index (HCT-CI) can predict both TRM and overall survival (OS). Although the HCT-CI has been validated as a useful tool for first HCT, its potential utility for second HCT has not yet been investigated. Here we aimed to evaluate the utility of the HCT-CI score in assessing the risk of TRM and OS in the setting of a second allogeneic HCT. This was a retrospective analysis of all pediatric patients (age <21 years) who underwent a second allogeneic HCT at UCSF Benioff Children's Hospital San Francisco between 2008 and 2019. According to their HCT-CI, patients were classified as "low risk" with an HCT-CI of 0 or "intermediate-high risk" with an HCT-CI ≥1. A total of 59 patients were included in the study. Our primary endpoint was TRM, observed at 100 days, 180 days, 1 year, and last follow-up following HCT, and our secondary endpoint was OS at 1 year and at 5 years or last follow-up. We also evaluated outcomes of patients admitted to the pediatric intensive care unit based on the HCT-CI score. Seventy-six percent of patients had an HCT-CI of 0. The most frequent comorbidities were pulmonary, seen in 7 patients (12%; 95% CI, 5% to 23%), including 5 (71%) with moderate and 2 (29%) with severe comorbidities. The OS and the cumulative incidence of TRM at 1 year for the entire cohort were 81% (95% CI, 69% to 90%) and 12% (95% CI, 5% to 22%), respectively. The cumulative incidence of TRM and OS at 1 year showed a significant correlation with HCT-CI score; TRM was 4% (95% CI, 1% to 13%) for an HCT-CI of 0 versus 36% (95% CI, 13% to 60%) for an HCT-CI ≥1 (P < .001), and OS was 89% (95% CI, 75% to 99%) for an HCT-CI of 0 versus 57% (95% CI, 28% to 78%) for an HCT-CI ≥1 (P = .003). After adjusting for covariates, HCT-CI continued to be associated with both TRM (P = .004) and OS (P = .003). In addition, comparing patients with malignancies and nonmalignant disorders, disease-free-survival at last follow-up was higher in the nonmalignant disorder group and also was influenced by the HCT-CI score in each group (P = .0035). There also was a significant difference in outcomes of patients admitted to the pediatric intensive care unit; 15 patients (68%) with an HCT-CI of 0 were alive at last follow-up, compared with only two (22%) with an HCT-CI ≥1 (P = .016). HCT-CI has an impact on TRM and OS and may serve as a predictor of outcomes of second allogeneic transplantation. Although this study was conducted in a relatively small sample, it is the first to investigate the utility of the HCT-CI score in predicting outcomes after a second allogeneic HCT in pediatric recipients. © 2021 American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc.

Development and validation of a mortality predicting scoring system for severe aplastic anaemia patients receiving haploidentical allogeneic transplantation

Haploidentical allogeneic haematopoietic stem cell transplantation (haplo-HSCT) is a significant alternative treatment for severe aplastic anaemia (SAA). To improve this process by modifying the risk stratification system, we conducted a retrospective study using our database. 432 SAA patients who received haplo-HSCT between 2006 and 2020 were enrolled. These patients were divided into a training (n = 288) and a validation (n = 144) subset randomly. In the training cohort, longer time from diagnosis to transplantation, poorer Eastern Cooperative Oncology Group (ECOG) status and higher haematopoietic cell transplantation-specific comorbidity index (HCT-CI) score were independent risk factors for worse treatment-related mortality (TRM) in the final multivariable model. The haplo-HSCT scoring system was developed by these three parameters. Three-year TRM after haplo-HSCT were 6% [95% confidence interval (CI), 1-21%], 21% (95% CI, 7-40%), and 47% (95% CI, 20-70%) for the low-, intermediate-, and high-risk group, respectively (P < 0·0001). In the validation cohort, the haplo-HSCT scoring system also separated patients into three risk groups with increasing risk of TRM: intermediate-risk [hazard ratio (HR) 2·45, 95% CI, 0·92-6·53] and high-risk (HR 11·74, 95% CI, 3·07-44·89) compared with the low-risk group (P = 0·001). In conclusion, the haplo-HSCT scoring system could effectively predict TRM after transplantation.

Hematopoietic Cell Transplant-Composite Risk (HCT-CR): A Novel Predictor of Prognosis in Acute Leukemia Patients Undergoing Allogeneic Hematopoietic Stem Cell Transplantation

BACKGROUND

Allogeneic hematopoietic stem cell transplantation (allo-HCT) is a curable treatment modality for hematologic disorders. Transplant-related mortality remains high despite prominent scientific and technologic improvements. In consideration with the potential impact of patient- and disease-related factors on transplant outcome, this retrospective study was performed to investigate the predictive role of pretransplant HCT-composite risk (HCT-CR) score in allo-HCT recipients.

METHODS

A total of 313 patients with acute leukemia (male/female: 192/121; median age, 36 [18-71] years) were included in this study. The study cohort was divided into 2 subgroups based on pretransplant HCT-CR categories. The HCT-CR^lo group included low-risk patients, and the HCT-CR^int-hi group consisted of intermediate-, high-, and very high-risk patients.

RESULTS

In the whole cohort, overall survival (OS) and 5-year OS were found to be 32.2% and 45.1%, respectively. Probability of OS was significantly better in the HCT-CR^lo group compared with the HCT-CR^int-hi group (P < .001). Leukemia-free survival (LFS) and 3-year LFS were 59.5% and 65.1%, respectively. Probability of LFS was better in the HCT-CR^lo group compared with the HCT-CR^int-hi group (P = .001). Nonrelapse mortality (NRM) and 3-year NRM were estimated to be 38.1% and 27.5%, respectively. Probability of NRM was significantly higher in the HCT-CR^int-hi group compared with the HCT-CR^lo group (P = .012). In multivariate analysis, HCT-CR was shown to have significant prognostic impact in acute lymphoblastic leukemia patients (P = .023; hazard ratio, 2.613; 95% CI, 1.142-5.982).

CONCLUSION

Pretransplant evaluation of patient- and disease-related factors is essential for the accurate prediction of posttransplant survival. Further efforts to evolve current criteria for pretransplant risk assessment would eventuate in better transplant outcomes.

Psychosocial Pre-Transplant Screening With the Transplant Evaluation Rating Scale Contributes to Prediction of Survival After Hematopoietic Stem Cell Transplantation

There is no standard in hematopoietic stem cell transplantations (HSCT) for pre-transplant screening of psychosocial risk factors, e.g., regarding immunosuppressant non-adherence. The aim of this prospective study is to explore the predictive value of the pretransplant psychosocial screening instrument Transplant Evaluation Rating Scale (TERS) for mortality in a 3-year follow-up. Between 2012 and 2017 61 patients were included and classified as low (TERS = 26.5-29) and increased-risk group (TERS = 29.5-79.5). Both groups were compared regarding mortality until 36 months after transplantation and secondary outcomes [Medication Experience Scale for Immunosuppressants (MESI); incidence/grade of GvHD]. The increased-risk group (n = 28) showed significantly worse cumulative survival in the outpatient setting (from 3 months to 3 years after HSCT) [Log Rank (Mantel Cox) P = 0.029] compared to low-risk group (n = 29) but there was no significant result for the interval immediately after HSCT until 3 years afterwards. Pre-transplant screening with TERS contributes to prediction of survival after HSCT. The reason remains unclear, since TERS did not correlate with GvHD or MESI. The negative result regarding the interval immediately after HSCT until 3 years could be caused by the intensive in-patient setting with mortality which is explained rather by biological reasons than by non-adherence.

Sarcopenia and low muscle radiodensity associate with impaired FEV1 in allogeneic haematopoietic stem cell transplant recipients

BACKGROUND

Quantification of skeletal muscle using computed tomography (CT) is accessible using cancer patients' standard oncologic images. Reduced muscle mass may be related to reduced respiratory muscle strength; however, the impact of this on lung functional parameters is not characterized in adult allogeneic haematopoietic stem cell transplant (alloHCT) recipients.

METHODS

A consecutive retrospective series (n = 296) of patients who had alloHCT at a comprehensive cancer centre between March 2005 and April 2015 were included. Pre-transplant CT scans were used to quantify skeletal muscle and adipose tissue at the fourth thoracic (T4) and/or third lumbar (L3) level. Tumour and patient characteristics were recorded, including forced expiratory volume in 1 second (FEV1 ) by spirometry. Regression models were created to characterize predictive relationships.

RESULTS

A total of 296 patients (♂n = 161; ♀n = 135) were included, all of whom had chest CT as part of standard care; a subset of these (n = 215, 72.6%) also had abdominal CT. Diagnoses were non-Hodgkins lymphoma (n = 165), acute myeloid leukaemia (n = 66), Hodgkin's disease (n = 14), acute lymphocytic leukaemia (n = 14), myelodysplastic syndromes (n = 18), and other (n = 19). In multivariable linear regression adjusted for sex (P < 0.0001), age (P < 0.0001), haematopoietic cell transplantation-specific co-morbidity index (P = 0.010), and parameters of pulmonary function testing (defined by spirometry, P < 0.0001), both T4 muscle index [β 0.127 (95% confidence interval 0.019; 0.252), P < 0.0001] and T4 muscle radiodensity [β 0.132 (95% confidence interval 0.087; 0.505), P = 0.006] were independently associated with FEV1 ; disease risk index (P = 0.877) and Karnofsky performance status (P = 0.548) were not associated with FEV1 . Similar conclusions were obtained when L3 muscle index and radiodensity were considered. Unlike T4, L3 muscle index values can be compared with published cut-off values for sarcopenia. Overall rates of sarcopenia were uniformly higher in the HCT population than in age-matched and sex-matched patients with solid tumours [alloHCT ♂64.7% vs. solid tumour ♂56.6% (P < 0.001); alloHCT ♀57.6% vs. solid tumour ♀36.0% (P < 0.001)]. Significant but moderate correlations (P < 0.001) were found for muscle area and radiodensity between L3 and T4, for both men and women; adipose tissue quantity also correlated significantly (P < 0.001) between L3 and T4 for both men and women.

CONCLUSIONS

Lumbar or thoracic CT images are useful for body composition assessment in this population and reveal high rates of sarcopenia, similar to those reported in very elderly patients. Reduced muscle mass and radiodensity associate with impaired FEV1 even after adjustment for clinical covariables including co-morbidities, performance status, disease risk, and mild intrinsic pulmonary disease (chronic obstructive pulmonary disease) defined by spirometry.

Limitations of Applying the Hematopoietic Cell Transplantation Comorbidity Index in Pediatric Patients Receiving Allogeneic Hematopoietic Cell Transplantation

Identifying which patients are at high risk for transplant-related mortality, prior to allogeneic hematopoietic cell transplantation (alloHCT), is crucial both to guide decision making with patients and families and to inform the alloHCT approach. There is a paucity of data evaluating the utility of the HCT comorbidity index (HCT-CI) in pediatric patients. We performed a retrospective cohort study of 188 patients who underwent alloHCT between January 2008 and October 2016 and assessed pretransplant comorbidities defined and weighted by the HCT-CI. The primary endpoint of our study was overall survival (OS). Kaplan-Meier method was used to assess survival estimates at 1-year post-transplant and did not differ based on HCT-CI scores: 78.7% (SE 6.69%) for HCT-CI = 0, 74.7% (SE 6.33%) for HCT-CI = 1 to 2, and 77.3% (SE 4.17%) for HCT-CI ≥3. Multivariable Cox proportional hazards analysis did not show HCT-CI having an effect on OS: hazard ratio (HR) of 0.633 (95% confidence interval [CI], 0.297 to 1.347) for HCT-CI scores 1 to 2 and HR of 0.935 (95% CI, 0.456 to 1.918) for HCT-CI scores ≥3 compared to scores of 0. The most frequent comorbidities observed were hepatic disease (mild in 29%, severe in 23%) and pulmonary disease (moderate in 15% and severe in 29%). However, only 55% were able to complete pulmonary function testing. Hepatic disease was based on transaminitis in 48% and by bilirubin alone in 26% of patients; 46% of patients with hepatic dysfunction had an underlying hemoglobinopathy and hyperbilirubinemia related to ongoing hemolysis. This study evaluates HCT-CI comorbidities in greater detail than has been performed previously in children undergoing alloHCT. We identify challenges with the HCT-CI in the pediatric population and highlight the comorbidities that may benefit from adjustments to their definition to create an improved risk assessment tool for children.

Post-transplant multimorbidity index and quality of life in patients with chronic graft-versus-host disease-results from a joint evaluation of a prospective German multicenter validation trial and a cohort from the National Institutes of Health

Comorbidity after allogeneic hematopoietic stem cell transplantation (alloHSCT) impairs quality of life (QoL), physical functioning, and survival. We developed a new standardized measure to capture comorbidity after transplantation, the Post-transplant Multimorbidity Index (PTMI) in a cohort of 50 long term survivors. We subsequently evaluated the content validity and impact on survival and QoL within a multicenter trial, including 208 patients (pts) after alloHSCT, who were prospectively evaluated applying the FACT-BMT, the Human Activity Profile (HAP), the SF-36 v.2, PTMI and the Hematopoietic Cell Transplantation-Comorbidity Index (HCT-CI). The most prevalent comorbidities were compensated arterial hypertension (28.4%), ambulatory infections (25.5%), iron overload (23%), mild renal function impairment (20%), and osteoporosis (13%). Applying the PTMI 13% of patients had no comorbidity, while 37.1% had 1–3 comorbidities, 27.4% had 4–6 comorbidities, and 13.5% had > 6 comorbidities. Chronic graft-versus-host disease (cGvHD) was significantly associated with the PTMI, while age and prior acute GvHD were not. In contrast, the HCT-CI was not associated with the presence of cGvHD. cGvHD was significantly associated with depression (r = 0.16), neurological disease (r = 0.21), osteoporosis (r = 0.18) and nonmelanoma skin cancer (r = 0.26). The PTMI demonstrated strong measurement properties and compared to the HCT-CI captured a wider range of comorbidities associated with cGvHD.

Predominant low Hematopoietic Cell Transplantation Specific Comorbidity Index (HCT-CI) score in a Mexican referral center: a selection bias caused by limited-resources?

INTRODUCTION

To date, many studies have validated the Hematopoietic Cell Transplantation Specific Comorbidity Index (HCT-CI) scoring system in allogeneic hematopoietic stem cell transplantation (allo-HSCT), but studies from developing countries remain scarce.

OBJECTIVE

The aim of this study was to evaluate and categorize Mexican patients using the HCT-CI at a referral center.

METHODS

One hundred and nineteen consecutive patients undergoing allo-HSCT at the National Institute of Medical Sciences and Nutrition in Mexico City were included. Patients were classified according to the HCT-CI scores.

RESULTS

The median age was 31 years and most were males (56%). Most patients had hematological malignancies (73%) and a low HCT-CI score (72%). The non-relapse mortality and survival were predicted according to the score.

CONCLUSIONS

This is one of the few studies to evaluate the HCT-CI in adults with HLA-matched donors in a developing country and our findings suggest that the high percentage of patients with a low HCT-CI scores, contrary to international reports, could be explained by different comorbidities and demographics, but mainly due to stricter filters applied to HSCT candidates and consequently, a potential selection bias caused by limited resources.

The Prognostic Impact of Comorbidities in Patients with De-Novo Diffuse Large B-Cell Lymphoma Treated with R-CHOP Immunochemotherapy in Curative Intent

Background: Patient-related factors, namely comorbidities, impact the clinical outcome of patients with diffuse large B-cell lymphoma (DLBCL). Methods: The prevalence and prognostic impact of comorbidities were examined using the validated scores Charlson Comorbidity Index (CCI) and Hematopoietic Cell Transplantation-specific Comorbidity Index (HCT-CI) in 181 patients with DLBCL at initial diagnosis before treatment with rituximab, cyclophosphamide, vincristine, doxorubicin and prednisone (R-CHOP). Results: Pronounced comorbidities as defined by CCI and HCT-CI scoring of ≥2 were detected in 9.9% and 28.2% of patients, respectively, and occurred more frequently at advanced age (p < 0.001). Higher CCI scoring was associated with lower complete response rate (p = 0.020). Both advanced CCI and HCT-CI were significantly associated with shortened overall survival (3-year OS: CCI ≥2 vs. 0–1, 38.9% vs. 81.3%, p < 0.001; HCT-CI ≥2 vs. 0–1, 56.9% vs. 84.9%, p < 0.001). Both comorbidity scores remained independent risk factors in the multivariate analysis (HCT-CI ≥2 HR: 2.6, p = 0.004; CCI ≥2 HR: 3.6, p = 0.001). Conclusion: This study demonstrates the prognostic relevance of comorbidities classified by CCI and HCT-CI in patients with DLBCL undergoing curative treatment with R-CHOP. A structured evaluation of comorbidities might refine prognostication alongside currently used prognostic parameters, namely age, and should be evaluated in prospective trials.

Cellular Immunotherapy for Refractory Diffuse Large B Cell Lymphoma in the Chimeric Antigen Receptor-Engineered T Cell Era: Still a Role for Allogeneic Transplantation?

Chimeric antigen receptor-engineered T (CART) cells are a promising new treatment option for patients with multiply relapsed and refractory (R/R) diffuse large B cell lymphoma (DLBCL). Because of the favorable outcome data reported for CART cells, uncertainty is emerging if there is still a role for allogeneic hematopoietic cell transplantation (allo-HCT) in the treatment of R/R DLBCL. This article provides an overview of available evidence and theoretical considerations to put these 2 types of cellular immunotherapy (CI) into perspective. Altogether, current data suggest that CART cells are preferred now over transplantation as first-choice CI in many clinical situations. However, the majority of patients will fail CART therapy, resulting in an unmet medical need where allo-HCT could be beneficial. In contrast, employing allo-HCT instead of CART cells as first CI should be presently restricted to situations where CART cell therapy is deemed not feasible or useful, such as patients with refractory cytopenia or incipient myelodysplastic syndrome. However, allo-HCT remains a standard treatment option as first CI for patients with chemosensitive R/R DLBCL when CARTs are not available or transplantation is preferred by the patient. Continuous collection and analysis of CI outcome data by professional registries appear to be of key importance for developing rational strategies of CI allocation and sequencing.

Predictive value of disease risk comorbidity index for overall survival after allogeneic hematopoietic transplantation

Allogeneic hematologic cell transplantation (alloHCT) is the only curative therapy for many adults with hematological malignancies. However, it can be associated with substantial risks of morbidity and mortality that are dependent on patient comorbidity- or disease risk-related factors. Several pretransplantation prognostic scoring systems have been developed to estimate survival of patients undergoing alloHCT; however, there is significant interstudy variability in the predictive capacity of these assessment tools. We tested the prognostic capability of a composite scoring system including the disease risk index and HCT comorbidity index (DRCI). The DRCI scoring system was applied pretransplantation to determine whether it predicted clinical outcomes of 959 adult patients with hematological malignancies undergoing alloHCT from 2000 to 2013 at the University of Minnesota. The DRCI score categorized patients into 6 risk groups, with 2-year overall survival ranging between 74% for the very low-risk DRCI group and 34% for the very high-risk DRCI group. In multiple regression analyses adjusted for patient age and donor type, the risk of overall mortality independently increased as the DRCI score increased. Additionally, the DRCI score independently predicted risk of relapse, disease-free survival, and graft-versus-host disease-free/relapse-free survival. Our data demonstrate that the pretransplantation DRCI scoring system predicts outcomes after alloHCT and can be used to guide clinical decision making for patients considering alloHCT.

Identifying risk factors associated with worse outcomes in adolescents and young adults undergoing hematopoietic stem cell transplantation

BACKGROUND

Adolescents and young adults (AYAs) undergoing allogeneic hematopoietic stem cell transplantation (HSCT) have unique risk factors and poor outcomes when compared to children, but this population has not been well studied. A hematopoietic stem cell transplantation-comorbidity index (HCT-CI) has been developed in adults to help predict outcomes, yet this index does not seem suitable for a younger population. Therefore, we sought to examine the prevalence of various risk factors in AYAs undergoing allogeneic HSCT and determine which factors had the greatest impact on overall survival (OS) and treatment-related mortality (TRM).

PROCEDURES

This was accomplished by retrospectively collecting data on 241 patients who received their first allogeneic HSCT at UCLA between 2005 and 2015. We investigated the effect of multiple predictors using the Cox proportional hazards model and Fine and Gray competing risk model for OS and TRM, respectively.

RESULTS

Our results showed that AYAs undergoing allogeneic HSCT had poor outcomes, with 5-year OS and NRM of 48% and 30%, respectively. We demonstrated that compared to a baseline model, the addition of the HCT-CI did not improve its ability to predict OS, while substituting individual comorbidities, that is, an unweighted comorbidity score, resulted in significant improvement in model performance. The factors associated with inferior outcomes were used to develop an AYA-specific risk score.

CONCLUSIONS

The comorbidities included in the HCT-CI as well as additional risk factors seen in younger populations need to be studied in prospective studies with the goal of validating and refining a risk score specific to AYA patients undergoing allogeneic HSCT.

Role of Age and Hematopoietic Cell Transplantation-Specific Comorbidity Index in Myelodysplastic Patients Undergoing an Allotransplant: A Retrospective Study from the Chronic Malignancies Working Party of the European Group for Blood and Marrow Transplantation

Allogeneic hematopoietic stem cell transplantation (HSCT) remains the only potentially curative option for myelodysplastic syndromes (MDSs) but is severely limited by nonrelapse mortality (NRM), especially in this mostly older population. Comorbidity assessment is crucial to predict NRM and often assessed with the Hematopoietic Cell Transplantation-Specific Comorbidity Index (HCT-CI). Moreover, the impact of age on NRM still remains a matter of debate. In recent years, the age at which transplants are made has been progressively increasing, and patients with comorbidities have become more common. Extricating the respective roles of age and comorbidities in toxic mortality is all the more important. This study by the European Group for Blood and Marrow Transplantation registry included 1245 adult patients who underwent a first allogeneic stem cell transplantation for MDSs between 2003 and 2014. Overall, 4-year NRM and overall survival were 32% and 47%, respectively. When considered as continuous predictors, HCT-CI score and age were associated with an increased hazard ratio (HR) for NRM. In multivariate analysis, age band (HR, 1.13; 95% CI, 1.02 to 1.25; P= .016), HCT-CI ≥3 (HR, 1.34; 95% CI, 1.04 to 1.73; P = .022), and Karnofsky Performance Status ≤80 (HR, 2.03; 95% CI, 1.52 to 2.73; P< .0001) were significantly predictive of a worse NRM. In our large cohort, both comorbidities, evaluated by the original HCT-CI score, and chronological age significantly affected NRM. Thus, age should be part of the transplant decision-making process and should be integrated in future scoring systems predicting outcomes of HSCT in MDSs.

Development and Validation of a Novel Acute Myeloid Leukemia-Composite Model to Estimate Risks of Mortality

Question

Can a model incorporating patient-specific (comorbidities and age) and acute myeloid leukemia (AML)-specific features (cytogenetic and molecular alterations) predict mortality after AML treatment?

Findings

In a multicenter cohort study of 1100 patients, we demonstrated that (1) comorbidities had a significant impact on 1-year mortality after initial therapy for AML, (2) an augmented hematopoietic cell transplant–comorbidity index (HCT-CI) was the best suited index for comorbidity evaluation in AML, and (3) an AML composite model of augmented HCT-CI, age, and cytogenetic/molecular risks has a strong AUC of 0.76 for 1-year mortality.

Meaning

An AML composite model can guide decision-making about treatment of AML.

Importance

To our knowledge, this multicenter analysis is the first to test and validate (1) the prognostic impact of comorbidities on 1-year mortality after initial therapy of acute myeloid leukemia (AML) and (2) a novel, risk-stratifying composite model incorporating comorbidities, age, and cytogenetic and molecular risks.

Objective

To accurately estimate risks of mortality by developing and validating a composite model that combines the most significant patient-specific and AML-specific features.

Design, Setting, and Participants

This is a retrospective cohort study. A series of comorbidities, including those already incorporated into the hematopoietic cell transplantation–comorbidity index (HCT-CI), were evaluated. Patients were randomly divided into a training set (n = 733) and a validation set (n = 367). In the training set, covariates associated with 1-year overall mortality at a significance level of P < .10 constructed a multivariate Cox proportional hazards model in which the impact of each covariate was adjusted for that of all others. Then, the adjusted hazard ratios were used as weights. Performances of models were compared using C statistics for continuous outcomes and area under the curve (AUC) for binary outcomes.

Exposures

Initial therapy for AML.

Main Outcomes and Measures

Death within 1 year after initial therapy for AML.

Results

A total of 1100 patients, ages 20 to 89 years, were treated for AML between January 1, 2008, and December 31, 2012, at 5 academic institutions specialized in treating AML; 605 (55%) were male, and 495 (45%) were female. In the validation set, the original HCT-CI had better C statistic and AUC estimates compared with the AML comorbidity index for prediction of 1-year mortality. Augmenting the original HCT-CI with 3 independently significant comorbidities, hypoalbuminemia, thrombocytopenia, and high lactate dehydrogenase level, yielded a better C statistic of 0.66 and AUC of 0.69 for 1-year mortality. A composite model comprising augmented HCT-CI, age, and cytogenetic/molecular risks had even better predictive estimates of 0.72 and 0.76, respectively.

Conclusions and Relevance

In this cohort study, comorbidities influenced 1-year survival of patients with AML, and comorbidities are best captured by an augmented HCT-CI. The augmented HCT-CI, age, and cytogenetic/molecular risks could be combined into an AML composite model that could guide treatment decision-making and trial design in AML. Studying physical, cognitive, and social health might further clarify the prognostic role of aging. Targeting comorbidities with interventions alongside specific AML therapy might improve survival.

The Hematopoietic Cell Transplant Comorbidity Index predicts survival after allogeneic transplant for nonmalignant diseases

Despite improvements, mortality after allogeneic hematopoietic cell transplantation (HCT) for nonmalignant diseases remains a significant problem. We evaluated whether pre-HCT conditions defined by the HCT Comorbidity Index (HCT-CI) predict probability of posttransplant survival. Using the Center for International Blood and Marrow Transplant Research database, we identified 4083 patients with nonmalignant diseases transplanted between 2007 and 2014. Primary outcome was overall survival (OS) using the Kaplan-Meier method. Hazard ratios (HRs) were estimated by multivariable Cox regression models. Increasing HCT-CI scores translated to decreased 2-year OS of 82.7%, 80.3%, 74%, and 55.8% for patients with HCT-CI scores of 0, 1 to 2, 3 to 4, and ≥5, respectively, regardless of conditioning intensity. HCT-CI scores of 1 to 2 did not differ relative to scores of 0 (HR, 1.12 [95% CI, 0.93-1.34]), but HCT-CI of 3 to 4 and ≥5 posed significantly greater risks of mortality (HR, 1.33 [95% CI, 1.09-1.63]; and HR, 2.31 [95% CI, 1.79-2.96], respectively). The effect of HCT-CI differed by disease indication. Patients with acquired aplastic anemia, primary immune deficiencies, and congenital bone marrow failure syndromes with scores ≥3 had increased risk of death after HCT. However, higher HCT-CI scores among hemoglobinopathy patients did not increase mortality risk. In conclusion, this is the largest study to date reporting on patients with nonmalignant diseases demonstrating HCT-CI scores ≥3 that had inferior survival after HCT, except for patients with hemoglobinopathies. Our findings suggest that using the HCT-CI score, in addition to disease-specific factors, could be useful when developing treatment plans for nonmalignant diseases.

Prognostic Performance of the Augmented Hematopoietic Cell Transplantation-Specific Comorbidity/Age Index in Recipients of Allogeneic Hematopoietic Stem Cell Transplantation from Alternative Graft Sources

The Hematopoietic Cell Transplantation-Specific Comorbidity Index (HCT-CI) was developed and validated to weigh the burden of pretransplantation comorbidities and estimate their impact on post-transplantation risks of nonrelapse mortality (NRM). Recently, the HCT-CI was augmented by the addition of both age and the values of 3 markers: ferritin, albumin, and platelet count. So far, research involving The HCT-CI has been limited almost exclusively to recipients of allogeneic hematopoietic cell transplantation (HCT) from HLA-matched grafts. To this end, we sought to investigate the discriminative capacity of an augmented comorbidity/age index among 724 recipients of allogeneic HCT from HLA-mismatched (n = 345), haploidentical (n = 117), and umbilical cord blood (UCB; n = 262) grafts between 2000 and 2013. In the overall cohort, the augmented comorbidity/age index had a higher c-statistic estimate for prediction of NRM compared with the original HCT-CI (.63 versus .59). Findings were similar for recipients of HLA-mismatched (.62 versus .59), haploidentical (.60 versus .54), or UCB grafts (.65 versus .61). Compared with patients with an HCT-CI score ≥4, those with a score <4 had a higher survival rate among recipients of HLA-mismatched (55% versus 39%; P < .0008), HLA-haploidentical (58% versus 38%; P = .01), or UCB (67% versus 48%; P = .004) grafts. Our results demonstrate the utility of the augmented comorbidity/age index as a valid prognostic tool among recipients of allogeneic HCT from alternative graft sources.

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

Outcomes after allogeneic stem-cell transplantation (AHSCT) are influenced by both disease- and patient-related factors. Here, we developed a novel prognostic model, hematopoietic cell transplant-composite risk (HCT-CR), by combining the refined disease risk index (DRI-R) and hematopoietic stem-cell transplant comorbidity/age index (HCT-CI/Age) to predict post-transplant survival for patients with acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). The analysis included 942 AML/MDS patients treated with AHSCT. Patients were stratified into 4 HCT-CR risk groups: Low-risk-patients with low/intermediate DRI-R and HCT-CI/Age ≤3 (N = 272); Intermediate-risk-patients with low/intermediate DRI-R and HCT-CI/Age >3 (N = 168); High-risk-patients with high/very high DRI-R and HCT-CI/Age ≤3 (N = 284); and Very high-risk-patients with high/very high DRI-R and HCT-CI/Age >3 (N = 184). Compared with the low-risk group, intermediate, high, and very high-risk groups had a significantly increased risk of death [adjusted HR of 1.37 (P < 0.04), 2.08 (P < 0.001), and 2.92 (P < 0.001), respectively]. The concordance test showed that the HCT-CR model provided better discriminative capacity for OS prediction compared with all prior models independently, including cytogenetic risk group, DRI-R, and HCT-CI/Age model (C-indices: 0.62, 0.55, 0.60, and 0.54, respectively) (P < 0.001). In conclusion, combining disease- and patient-related factors provides better survival stratification for patients with AML/MDS receiving AHSCT.

Bridging Strategies to Allogeneic Transplant for Older AML Patients

Treatment options for older patients with intermediate or high-risk acute myeloid leukemia (AML) remain unsatisfactory. Allogeneic stem cell transplantation, the treatment of choice for the majority of younger AML patients, has been hampered in elderly patients by higher treatment related mortality, comorbidities and lack of a suitable donor. With the higher availability of suitable donors as well as of reduced intensity conditioning regimens, novel low intensity treatments prior to transplantation and optimized supportive care, the number of older AML patients being successfully transplanted is steadily increasing. Against this background, we review current treatment strategies for older AML patients planned for allogeneic stem cell transplantation based on clinical trial data, discussing differences between approaches with advantages and pitfalls of each. We summarize pre-treatment considerations that need to be taken into account in this highly heterogeneous older population. Finally, we offer an outlook on areas of ongoing clinical research, including novel immunotherapeutic approaches that may improve access to curative therapies for a larger number of older AML patients.

Hematopoietic cell transplantation comorbidity index and risk of developing invasive fungal infections after allografting

We evaluated the potential correlation of the hematopoietic cell transplantation comorbidity index (HCT-CI) with the risk of developing post-transplant invasive fungal infections (IFIs). Between January 2009 and March 2015, 312 consecutive patients who received a first allograft entered the study. Low/intermediate HCT-CI risk score (0-2) was observed in 172/312 (55%), whereas high HCT-CI score (≥3) was seen in 140/312 (45%). Overall, 51/312 (16%) patients experienced IFI, defined as possible in 19 (6%), probable in 27 (9%), and proven in 5 (2%). Cumulative incidence of probable-proven IFI at 1 year was 8.5% with a significant higher incidence in patients with high HCT-CI (12%) vs. those with low-intermediate HCT-CI (5%; p = 0.006). There was a strong trend for a higher incidence of baseline severe pulmonary comorbidity in patients who developed probable-proven IFI (p = 0.051). One-year cumulative incidence of non-relapse mortality was higher in patients with IFI vs. those without, 49 and 16% (p < 0.001). By multivariate analysis, disease status at transplant and high HCT-CI, when combined with acute GVHD, were independently associated with the risk of post-transplant IFI. This study shows that a high HCT-CI predicts the risk of developing IFI and may indicate the need of mold-active antifungal prophylaxis in high-risk patients.

Validation of the Hematopoietic Cell Transplantation-Specific Comorbidity Index in Nonmyeloablative Allogeneic Stem Cell Transplantation

The Hematopoietic Cell Transplantation (HCT)-Specific Comorbidity Index (HCT-CI) has been extensively studied in myeloablative and reduced-intensity conditioning regimens, with less data available regarding the validity of HCT-CI in nonmyeloablative (NMA) allogeneic transplantation. We conducted a retrospective analysis to evaluate the association between HCT-CI and nonrelapse mortality (NRM) and all-cause mortality (ACM) in patients receiving the total lymphoid irradiation and antithymocyte globulin (TLI/ATG) NMA transplantation preparative regimen. We abstracted demographic and clinical data from consecutive patients, who received allogeneic HCT with the TLI/ATG regimen between January 2008 and September 2014, from the Stanford blood and marrow transplantation database. We conducted univariable and multivariable Cox proportional hazards regression models to evaluate the association between HCT-CI and NRM and ACM. In all, 287 patients were included for analysis. The median age of the patients was 61 (range, 22 to 77) years. The median overall survival was 844 (range, 374 to 1484) days. Most patients had Karnofsky performance score of 90 or above (85%). Fifty-two (18%) patients relapsed within 3 months and 108 (38%) patients relapsed within 1 year, with a median time to relapse of 163 (range, 83 to 366) days. Among the comorbidities in the HCT-CI identified at the time of HCT, reduced pulmonary function was the most common (n = 89), followed by prior history of malignancy (n = 39), psychiatric condition (n = 38), and diabetes (n = 31). Patients with higher HCT-CI scores had higher mortality risks for ACM (hazard ratio [HR], 1.95; 95% confidence interval [CI], 1.22 to 3.14 for HCT-CI score 1 or 2 and HR, 1.85; 95% CI, 1.11 to 3.08 for HCT-CI score ≥ 3, compared with 0, respectively). Among individual HCT-CI variables, diabetes (HR, 2.31; 95% CI, 1.79 to 2.89; P = .003) and prior solid tumors (HR, 1.75; 95% CI, 1.02 to 3.00; P = .043) were associated with a higher risk of ACM. Higher HCT-CI scores were significantly associated with higher risk of death. HCT-CI is a valid tool for predicting ACM in NMA TLI/ATG allogeneic HCT.

Validation of the acute leukemia-EBMT score for prediction of mortality following allogeneic stem cell transplantation in a multi-center GITMO cohort

Predictive models may help in determining the risk/benefit ratio of allogeneic hematopoietic stem cell transplantation (HSCT) in acute leukemia (AL). Using a machine-learning algorithm we have previously developed the AL- European Society for Blood and Marrow Transplantation (EBMT) score for prediction of mortality following transplantation. We report here the first external validation of the AL-EBMT score in a cohort of AL patients from the Italian national transplantation network. A total of 1848 patients transplanted between the years 2000-2014 were analyzed. The median age was 45.9. Indications for HSCT were Acute Myeloid Leukemia (68.1%) and Acute Lymphoblastic Leukemia (31.9%). The majority of patients were in first complete remission (60.4%), and received myeloablative conditioning (81.3%). Median follow-up was 2 years. The score was well-calibrated for prediction of day 100 mortality and 2-year overall survival (OS), leukemia free survival (LFS), and nonrelapse related mortality, with corresponding area under the receiver-operator curves of 0.698, 0.651, 0.653, and 0.651, respectively. Increasing score intervals were associated with a decreasing probability of 2-year OS and LFS. The highest scoring group was associated with a hazard ratio of 3.16, 2.8, and 2.27 for 2-year OS, LFS, and NRM, respectively. In conclusion, the AL-EBMT score identified three distinct risk groups and was predictive of OS. It is a valid tool for stratifying the risk of acute leukemia patients undergoing allogeneic HSCT.

Cyclophosphamide improves engraftment in patients with SCD and severe organ damage who undergo haploidentical PBSCT

Peripheral blood stem cell transplantation (PBSCT) offers a curative option for sickle cell disease (SCD). Although HLA-matched sibling transplantation is promising, the vast majority of patients lack such a donor. We sought to develop a novel nonmyeloablative HLA-haploidentical PBSCT approach that could safely be used for patients with severe organ damage. Based on findings in our preclinical model, we developed a phase 1/2 trial using alemtuzumab, 400 cGy total body irradiation, and escalating doses of posttransplant cyclophosphamide (PT-Cy): 0 mg/kg in cohort 1, 50 mg/kg in cohort 2, and 100 mg/kg in cohort 3. A total of 21 patients with SCD and 2 with β-thalassemia received a transplant. The mean hematopoietic cell transplant-specific comorbidity index of 6 reflected patients with cirrhosis, heart failure, and end-stage renal disease. The engraftment rate improved from 1 (33%) of 3 in cohort 1 to 5 (63%) of 8 in cohort 2 and 10 (83%) of 12 in cohort 3. Percentage of donor myeloid and CD3 chimerism also improved with subsequent cohorts. There was no transplant-related mortality, and overall survival was 87%. At present, 0% in cohort 1, 25% in cohort 2, and 50% in cohort 3 remain free of their disease. There was no grade 2 to 4 acute or extensive chronic graft-versus-host disease (GVHD). Therefore, PT-Cy improves engraftment and successfully prevents severe GVHD after nonmyeloablative conditioning in patients with SCD who are at high risk for early mortality. Additional strategies are necessary to decrease the graft rejection rate and achieve a widely available cure for all patients with SCD. This trial was registered at www.clinicaltrials.gov as #NCT00977691.

Long-term follow-up of a retrospective comparison of reduced-intensity conditioning and conventional high-dose conditioning for allogeneic transplantation from matched related donors in myelodysplastic syndromes

This study shows the long-term updated outcomes of a multicenter retrospective study which analyzed 843 patients with myelodysplastic syndrome (MDS) who underwent transplantation with an HLA-identical sibling donor with either reduced-intensity conditioning (RIC) in 213 patients, or standard myeloablative conditioning (MAC) in 630 patients. In multivariate analysis, the 13-year relapse rate was significantly increased after RIC (31% after MAC vs 48% in RIC; HR, 1.5; 95% CI, 1.1-1.9; P=0.04), but with no differences in overall survival (OS) (30% after MAC vs 27% in RIC; P=0.4) and PFS (29 vs 21%, respectively, P=0.3). Non-relapse mortality was higher in MAC (40 vs 31%; P=0.1), especially in patients older than 50 years (50 vs 33%, P<0.01). In addition, long-term follow-up confirms the importance of other variables on 13-year OS, mainly MDS risk category, disease phase, cytogenetics and receiving a high donor cell dose, irrespective of the conditioning regimen used.

Impact of Pretransplantation Indices in Hematopoietic Stem Cell Transplantation: Knowledge of Center-Specific Outcome Data Is Pivotal before Making Index-Based Decisions

Outcome after allogeneic hematopoietic stem cell transplantation is influenced by patient comorbidity, disease type, and status before treatment. We performed a retrospective study involving 521 consecutive adult hematopoietic stem cell transplantation patients who underwent transplantation for hematological malignancy at our center from 2000 to 2012 to compare the predictive value of the hematopoietic cell transplantation-specific comorbidity index (HCT-CI) and the disease risk index (DRI) for overall survival and transplantation-related mortality. Patients in the highest HCT-CI risk group (HCT-CI score ≥3) had a lower 5-year overall survival rate (50%) than the low-risk group (63%; P < .01). Subset analysis of donor origin showed greater 5-year overall survival in siblings than in matched unrelated donors, regardless of HCT-CI score (eg, 67% 5-year overall survival in siblings despite an HCT-CI score of >6 [n = 9]). Five-year overall survival in the highest DRI risk group was significantly poorer (44%) than in the low-risk group (63%; P < .01). Both indices failed to predict differences in transplantation-related mortality (HCT-CI, P = .54; DRI, P = .17). We conclude that HCT-CI and DRI were predictive of overall survival in our patient population. Even so, our data show that different patient groups may have different outcomes despite sharing the same index risk group and that indices should, therefore, be evaluated according to local data before clinical implementation at the single-center level.

Up-to-date tools for risk assessment before allogeneic hematopoietic cell transplantation

Cure of malignant and non-malignant hematological diseases is potentially possible after allogeneic hematopoietic stem cell transplantation (HCT). Accurate evaluation of the risk-benefit ratio for an individual patient could improve the decision-making process about transplant, which ultimately would increase the likelihood of success. Several transplant-related models were designed in an effort to optimize decision-making about suitable candidates for allogeneic HCT. In 1998, The European Society for Blood and Marrow Transplantation (EBMT) developed a five-component pretransplantation risk scoring system for patients with CML. The EBMT score was later tested in patients with various hematological disorders, and it was shown to stratify risks of mortality after allogeneic HCT. More recent research efforts focused on models that assess health status before HCT. A HCT-specific comorbidity index was designed to assign weights to 17 relevant comorbidities that were shown to independently predict non-relapse mortality. Performance status scales and comprehensive geriatric assessment tools might uncover additional overall health limitations that affect long-term survival among older recipients of allogeneic HCT. Other models include the pretransplantation assessment of mortality score that summarizes the impacts of eight different pretransplantation patient- and disease-specific variables into a 50-point model that predicts survival. The disease-risk index captures the impact of primary diagnoses and disease status on relapse and survival following allogeneic HCT. The values and limitations of each model are discussed herein. We also provide insight on how to use these models in the clinic to decide about offering allogeneic HCT with the most suitable conditioning regimen intensity.

Prediction of Hematopoietic Stem Cell Transplantation Related Mortality- Lessons Learned from the In-Silico Approach: A European Society for Blood and Marrow Transplantation Acute Leukemia Working Party Data Mining Study

Models for prediction of allogeneic hematopoietic stem transplantation (HSCT) related mortality partially account for transplant risk. Improving predictive accuracy requires understating of prediction limiting factors, such as the statistical methodology used, number and quality of features collected, or simply the population size. Using an in-silico approach (i.e., iterative computerized simulations), based on machine learning (ML) algorithms, we set out to analyze these factors. A cohort of 25,923 adult acute leukemia patients from the European Society for Blood and Marrow Transplantation (EBMT) registry was analyzed. Predictive objective was non-relapse mortality (NRM) 100 days following HSCT. Thousands of prediction models were developed under varying conditions: increasing sample size, specific subpopulations and an increasing number of variables, which were selected and ranked by separate feature selection algorithms. Depending on the algorithm, predictive performance plateaued on a population size of 6,611–8,814 patients, reaching a maximal area under the receiver operator characteristic curve (AUC) of 0.67. AUCs’ of models developed on specific subpopulation ranged from 0.59 to 0.67 for patients in second complete remission and receiving reduced intensity conditioning, respectively. Only 3–5 variables were necessary to achieve near maximal AUCs. The top 3 ranking variables, shared by all algorithms were disease stage, donor type, and conditioning regimen. Our findings empirically demonstrate that with regards to NRM prediction, few variables “carry the weight” and that traditional HSCT data has been “worn out”. “Breaking through” the predictive boundaries will likely require additional types of inputs.

Combined model of the EBMT score modified model and the HCT-CI improves the stratification of high-risk patients undergoing unmanipulated haploidentical blood and marrow transplantation

Both European Group for blood and marrow transplantation risk score (EBMT score modified model) and hematopoietic cell transplantation comorbidity index (HCT-CI) are suitable for evaluating patients undergoing unmanipulated haploidentical blood and marrow transplantation (HBMT), while the predictive capacity of the combined model following haploidentical transplantation is still unknown. In this study, we calculated and validated 322 consecutive unmanipulated HBMT patients. Patients in groups with HCT-CI scores of 0 or 1-2 exhibited similar overall survival (OS), non-relapse mortality (NRM), and relapse rates, independent of their EBMT score modified model. In the group in which patients' HCT-CI scores were ≥3, patients with high EBMT score modified model showed lower OS (p = 0.003) and higher NRM (p = 0.001) than did patients with low EBMT score. In conclusion, this combined model can be used to predict outcomes and may improve the stratification of high-risk patients following unmanipulated HBMT.

The impact of comorbid disease history on all-cause and cancer-specific mortality in myeloid leukemia and myeloma - a Swedish population-based study

Background

Comorbidity increases overall mortality in patients diagnosed with hematological malignancies. The impact of comorbidity on cancer-specific mortality, taking competing risks into account, has not been evaluated.

Methods

Using the Swedish Cancer Register, we identified patients aged >18 years with a first diagnosis of acute myeloid leukemia (AML, N = 2,550), chronic myeloid leukemia (CML, N = 1,000) or myeloma (N = 4,584) 2002–2009. Comorbid disease history was assessed through in- and out-patient care as defined in the Charlson comorbidity index. Mortality rate ratios (MRR) were estimated through 2012 using Poisson regression. Probabilities of cancer-specific death were computed using flexible parametric survival models.

Results

Comorbidity was associated with increased all-cause as well as cancer-specific mortality (cancer-specific MRR: AML = 1.27, 95 % CI: 1.15–1.40; CML = 1.28, 0.96–1.70; myeloma = 1.17, 1.08–1.28) compared with patients without comorbidity. Disorders associated with higher cancer-specific mortality were renal disease (in patients with AML, CML and myeloma), cerebrovascular conditions, dementia, psychiatric disease (AML, myeloma), liver and rheumatic disease (AML), cardiovascular and pulmonary disease (myeloma). The difference in the probability of cancer-specific death, comparing patients with and without comorbidity, was largest among AML patients <70 years, whereas in myeloma the difference did not vary by age among the elderly. The probability of cancer-specific death was generally higher than other-cause death even in older age groups, irrespective of comorbidity.

Conclusion

Comorbidities associated with organ failure or cognitive function are associated with poorer prognosis in several hematological malignancies, likely due to lower treatment tolerability. The results highlight the need for a better balance between treatment toxicity and efficacy in comorbid and elderly AML, CML and myeloma patients.

Electronic supplementary material

The online version of this article (doi:10.1186/s12885-015-1857-x) contains supplementary material, which is available to authorized users.