Specific Comorbidity Index Research Articles

Evaluating the effectiveness of the Charlson Comorbidity Index in predicting immune checkpoint inhibitor-related adverse events.

Aims: Our study aimed to evaluate the effectiveness of the Charlson Comorbidity Index (CCI) in predicting immune-related adverse events (irAEs) in solid tumor patients receiving immunotherapy. Patients & methods/materials: The CCI score at the time of initiation of immunotherapy was calculated in 164 solid tumor patients receiving immunotherapy and the correlation between the CCI score and immune toxicity was evaluated. Results: A significant relationship was found between CCI score and irAEs in lung cancer and renal cell cancer patients. In malignant melanoma, no significant relationship was found between the CCI score and the occurrence of irAEs. Conclusion: We argue that CCI can be used to predict irAEs, but we believe that a specific comorbidity index that includes autoimmune diseases should be developed.

Development of an umbilical cord blood transplantation–specific nonrelapse mortality risk assessment score

AbstractHigher rate of nonrelapse mortality (NRM) remains yet to be resolved in umbilical cord blood transplantation (UCBT). Considering that UCBT has some unique features compared with allogeneic hematopoietic cell transplantation from other graft sources, a UCBT-specific NRM risk assessment system is required. Thus, in this study, we sought to develop a UCBT-specific NRM Risk Assessment (CoBRA) score. Using a nationwide registry database, we retrospectively analyzed 4437 recipients who had received their first single-unit UCBT. Using the backward elimination method, we constructed the CoBRA score in a training cohort (n = 2687), which consisted of recipients age ≥55 years (score 2), hematopoietic cell transplantation–specific comorbidity index ≥3 (score 2), male recipient, graft-versus-host disease prophylaxis other than tacrolimus in combination with methotrexate, performance status (PS) 2 to 4, HLA allele mismatch ≥ 2, refined Disease Risk Index high risk, myeloablative conditioning, and CD34+ cell doses < 0.82 × 105/kg (score 1 in each). The recipients were categorized into 3 groups: low (0-4 points), intermediate (5-7 points), and high (8-11 points) groups according to the CoBRA score. In the validation cohort (n = 1750), the cumulative incidence of NRM at 2 years was 14.9%, 25.5%, and 47.1% (P < .001), and 2-year overall survival (OS) was 74.2%, 52.7%, and 26.3% (P < .001) in the low, intermediate, and high groups, respectively. In summary, the CoBRA score could predict the NRM risk as well as OS after UCBT. Further external validation will be needed to confirm the significance of the CoBRA score.

Association of individual comorbidities with outcomes in allogeneic hematopoietic cell transplantation from unrelated adult donors versus unrelated cord blood: A study on behalf of the Donor/Source and Transplant Complications Working Groups of the Japanese Society for Transplantation and Cellular Therapy.

We retrospectively evaluated the effect of 17 individual comorbidities, defined by the hematopoietic cell transplantation (HCT)-specific comorbidity index, on non-relapse mortality (NRM) and overall survival (OS) in 9531 patients aged between 16 and 70 years who underwent their first allogeneic HCT from 8/8 and 7/8 allele-matched unrelated donors (8/8 and 7/8 MUDs) or single-unit unrelated cord blood (UCB) between 2011 and 2020 using data from a Japanese registry database. In the multivariate analysis, infection (adjusted hazard ratio [HR], 1.62, 95% confidence interval [CI], 1.33-1.99 for 8/8 and 7/8 MUDs; adjusted HR, 1.33, 95%CI, 1.12-1.58 for UCB) and moderate/severe hepatic comorbidity (adjusted HR, 1.57, 95%CI, 1.04-2.38 for 8/8 and 7/8 MUDs; adjusted HR, 1.53, 95%CI, 1.09-2.15 for UCB) had a significant impact on NRM in both donor groups. Cardiac comorbidity (adjusted HR, 1.40, 95%CI, 1.08-1.80), mild hepatic comorbidity (adjusted HR, 1.22, 95%CI, 1.01-1.48), rheumatologic comorbidity (adjusted HR, 1.67, 95%CI, 1.11-2.51), renal comorbidity (adjusted HR, 2.44, 95%CI, 1.46-4.09), and severe pulmonary comorbidity (adjusted HR, 1.40, 95%CI, 1.11-1.77) were significantly associated with an increased risk of NRM but only in UCB recipients. Renal comorbidity had the strongest impact on poor OS in both donor groups (adjusted HR, 1.73, 95%CI, 1.10-2.72 for 8/8 and 7/8 MUDs; adjusted HR, 2.24, 95%CI, 1.54-3.24 for UCB). Therefore, unrelated donor selection should be taken into consideration along with the presence of specific comorbidities, such as cardiac, rheumatologic, renal, mild hepatic, and severe pulmonary comorbidities.

Acute kidney injury in multiple myeloma patients undergoing autologous hematopoietic stem cell transplant: a cohort study

BackgroundAutologous hematopoietic stem cell transplant plays an important role in multiple myeloma (MM) treatment. Increasing incidence of MM and growing awareness of acute kidney injury (AKI) as a complication of hematopoietic stem cell transplant results in the need to better understand AKI in these patients. We aimed to evaluate incidence, risk factors and 5-year prognostic impact of AKI in MM patients undergoing autologous hematopoietic stem cell transplant.MethodsRetrospective cohort study. AKI was defined by the KDIGO classification using creatinine and urinary output criteria. We used survival analysis methods considering competing events for risk factors and disease-free survival, Cox proportional regression for overall survival and stepwise regression methods for multivariable models.ResultsWe analyzed data regarding 143 patients. The cumulative incidence of AKI and moderate-to-severe AKI was 49.7% and 14.1%, respectively. Factors with independent impact on AKI were obesity (HR: 1.83, 95% CI 1.07–3.11; p = 0.026), Hematopoietic cell transplantation—specific comorbidity index (HCT-CI) ≥ 2 (HR: 1.85, 95% CI 1.08–3.17), chronic kidney disease (CKD) (HR: 2.06, 95% CI 1.05–4.04), amyloidosis (HR: 2.25, 95% CI 1.25–4.06), mucositis grade 3–4 (HR: 2.19, 95% CI 1.25–3.86) and exposure to nephrotoxic drugs (HR: 2.0856, 95% CI 1.04–4.19). Moderate-to-severe AKI had an impact (HR: 1.62, 95% CI 1.15–2.31) on 5-year overall survival.ConclusionAcute kidney injury affects almost half of MM patients undergoing autologous hematopoietic stem cell transplantation, and reduction in urinary output allows early diagnosis in almost a quarter of the patients. Obesity, HCT-CI ≥ 2, CKD, amyloidosis, mucositis grade 3–4 and exposure to nephrotoxic drugs are significant risk factors. Moderate-to-severe AKI is associated with lower 5-year overall survival.Graphical abstract

Haploidentical Hematopoietic Stem Cell Transplantation with Post-Transplant Cyclophosphamide in the Chilean National Health System. a Single Center Study

Haploidentical peripheral blood stem cell transplantation with post-transplant cyclophosphamide (Haplo-PTCy) is the most common transplantation modality in low-and-middle-income countries (LMIC). Registry data has shown comparable outcomes when using haploidentical donors versus Matched Unrelated Donors (MUD) in patients with acute leukemias. In the Chilean Public Health System Haplo-PTCy was incorporated in 2016 for adults up to 60 years old. We analyzed all adult patients who received an Haplo-PTCy at Hospital del Salvador, in a prospective registry study between 2016 and 2021. The primary outcome was overall survival (OS). Secondary outcomes were event-free survival (EFS), cumulative incidence of relapse, and incidence of grade II-IV acute graft-versus-host disease (aGVHD) at day +100. Overall survival and EFS were estimated using the Kaplan-Meier method. The cumulative incidence of relapse was calculated using relapse as the primary event and death without relapse as a competing event. Acute GVHD is shown as absolute incidence at day +100. All statistical analyses were performed with R. This study was done in compliance with the Helsinki Declaration and was approved by the Institutional Review Board. Eighty-five Haplo-PTCy were performed in 82 patients (Table 1). Three-second Haplo-PTCy were excluded from this analysis. The median age was 25 years (range, 15-51), and 65% were male. Ninety-four percent of patients had a neoplastic disease (77/82), and the most common diagnosis was acute lymphoblastic leukemia (57%). Forty-seven percent proceeded to transplant in the first complete response. Most of the patients (76%) presented a low hematopoietic cell transplantation (HCT)-specific comorbidity index. Conditioning was mostly myeloablative (96%). The median dose of CD34+ cells infused was 8.1 x 106/kg (range, 2.4-10.0). No patient needed a desensitization regimen. Cytokine release syndrome (CRS) was common (86%) but no grade 3 CRS was observed. Primary graft failure was observed in one patient (1.2%). Poor graft function was observed in 11 patients (13%). Five patients (6.1%) died before engraftment. The incidence of grade II-IV aGVHD at day +100 was 29% (grade IV was not observed). With a median follow-up of 33 months (range 0-84), the estimated 3-year OS and EFS were 68.3% (95% CI 59-79%) and 64.6% (95% CI 55-76%), respectively (Figure 1). In patients with neoplastic disease (n=77), the 3-year cumulative incidence of relapse was 23% (95% CI 15-33%). Haplo-PTCy is feasible in LMIC. This cohort of cases, mostly young patients with neoplastic disease, shows encouraging survival with an acceptable aGVHD and relapse incidence.

Evolving Racial/Ethnic Disparities in AML Survival in the Novel Therapy Era: Real-World Evidence of Improved Survival in Older Patients with the Largest Improvement in Non-Hispanic Black Patients

Introduction: The approval of venetoclax (VEN)-based frontline therapy for acute myeloid leukemia (AML) in November 2018 marks a new era of AML care. Racial/ethnic disparities have been increasingly recognized in AML with historically inferior outcomes reported in non-Hispanic Black (NHB) patients relative to non-Hispanic White (NHW) patients. The advances of novel therapeutics offer an unprecedented opportunity to narrow the care gaps between patient groups; but they also create new challenges related to testing, clinical decision-making, and care coordination. Currently, little is known about the impact of race/ethnicity on the recent advances in AML management. We performed a retrospective analysis leveraging real-world data to examine the magnitude and mechanisms of racial/ethnic disparities in modern AML care. Methods: Adult patients from Flatiron Health, a nationwide, electronic health record derived, de-identified database, with AML diagnosed between January 2014 to December 2018 (Pre era) and January 2019 to October 2022 (Post era) who identified as NHW, NHB or Hispanic and received at least one line of anti-leukemic therapy were included. Overall survival (OS) was defined from the time of therapy initiation to the time of death. Multivariable Cox regression models were used to compare the hazards of death for NHB and Hispanics relative to NHW. Predicted survival curves were then computed. Pre-planned sensitivity analyses including patients with 1) no ethnicity information, 2) no anti-leukemic therapy, and 3) care gap &amp;gt;100 days from diagnosis to induction were performed. Results: 2998 patients in Pre era (2566 NHW, 221 NHB, 211 Hispanics) and 2098 patients in Post era (1809 NHW, 162 NHB, 127 Hispanics) were included. Older patients with more comorbidities and worse disease biology (Table 1) were treated in Post era. After adjusting for race/ethnicity, age and Hematopoietic Cell Transplant Specific Comorbidity Index (HCT-CI), patients in Post era had a 10% decrease in the hazard of death compared to Pre era (HR 0.90, 95% CI 0.83-0.96). The difference was driven by OS benefits observed in patients aged &amp;gt;70 years (HR 0.82, 95% CI 0.75-0.91). NHB and Hispanics were younger at diagnosis than NHW in both eras. Lower socioeconomic status was observed in NHB and Hispanics. No difference in ELN2017 risk stratification was observed (Table 1). After adjusting for age and HCT-CI, NHB had a 22% increased hazard of death compared to NHW in Pre era (HR 1.22, 95% CI 1.04-1.43); whereas Hispanics had comparable outcomes (HR 1.01, 95% CI 0.84-1.21). Strikingly, the survival disparity between NHB and NHW in Pre era was not observed in Post era with predicted 2-yr OS rate being 45.3% and 39.9%, respectively (HR 0.86, 95% CI 0.69-1.08) (Figure 1). Predicted 2-yr OS rates improved for NHB patients in both ≤70 years (42.3% vs. 53.2%) and &amp;gt;70 years group (13.6% vs. 37.0%). No significant change in OS was observed in Hispanics between Pre and Post era (Figure 1). Results of all sensitivity analyses were consistent with primary analyses. Molecular testing at diagnosis significantly differed by eras across race/ethnicity groups (overall 66.4% vs. 82.9%, p&amp;lt;0.001). In contrast, molecular testing occurred more frequently in NHB at relapse in Post era (45.6% vs. 65.4%, p=0.020). Despite being older, more NHW received allogeneic transplant than NHB in Pre era (25.8% vs. 18.6%, p=0.046). In Post era, NHW were more likely to receive VEN-based induction therapy (46.9%, 37.0%, 35.4% in NHW, NHB and Hispanic, respectively, p= 0.003). Among patients who were tested and qualified, no difference was observed in the use of gemtuzumab ozogamicin, CPX-351, FLT3 inhibitors or IDH1/2 inhibitors across race/ethnicity. Conclusions: In this large, real-world dataset, we demonstrate OS improvements in the era of modern AML care, particularly among patients &amp;gt;70 years though their outcomes remain inferior to younger patients. Intriguingly, the largest OS improvement was observed in NHB, where the OS disparity between NHB and NHW in Pre era appears to have been mitigated. Hispanics have not experienced similar OS improvement in modern AML care. Ongoing analyses are focused on examining the mechanisms of survival trends observed with focus on assessing the contribution(s) of patient-, disease biology- and treatment-related factors in order to identify potential targets for intervention. • Dr. Kelly Getz and Dr. Catherine Lai contributed equally

Risk and Predictive Factors for Candidemia After Allogeneic Hematopoietic Cell Transplantation: JSTCT Transplant Complications Working Group

Although antifungal prophylaxis that covers Candida species is a standard of care in allogeneic hematopoietic cell transplantation (HCT), candidemia mainly caused by non-albicans Candida species still occurs and is associated with a high mortality rate. This study aimed to evaluate the risk factors for candidemia after allogeneic HCT. Particularly, we evaluated the impact of patient factors such as hematopoietic cell transplantation–specific comorbidity index (HCT-CI) and performance status (PS) in addition to well-recognized risk factors including donor type, delayed engraftment, and graft-versus-host disease (GVHD). By using data from a Japanese transplant registry database, we analyzed 26,236 pediatric and adult patients with hematological malignancies who underwent their first allogeneic HCT. The posttransplant period was divided into early (days 0-40), late (days 41-100) and very late (days 101-365) phases. The 1-year cumulative incidence of candidemia was 1.8%. When we analyzed pretransplantation factors, age ≥40 years (hazard ratio [HR] 1.85), male (HR 1.34), HCT-CI (HCT-CI 1-2, HR 1.56; HCT-CI ≥ 3, HR 2.21), PS ≥ 2 (HR 2.01), high-risk disease (HR 1.78) and donor type including HLA-mismatched related donor (MMRD) (HR 1.96), HLA-mismatched unrelated donor (HR 2.05), and cord blood (CB) (HR 2.85) were significantly associated with an increased incidence of candidemia. Focusing on the early phase (days 0-40), HCT-CI, PS, high-risk disease and CB transplantation together with engraftment and severe acute GVHD significantly affected the development of candidemia. In the late phase (days 41-100), higher HCT-CI, male, and donor type including MMRD, and CB were associated with the occurrence of candidemia together with acute GVHD and disease relapse. In the very late phase (days 101-365), HCT-CI ≥ 3 and high-risk disease significantly affected the occurrence of candidemia together with acute and chronic GVHD, and disease relapse. In addition to well-recognized risk factors including donor type, engraftment and GVHD, patient factors such as HCT-CI and PS were associated with the development of candidemia, which suggests that severely ill patients with transplantation-associated complications are more likely to develop candidemia.

Utilizing Organ-Sparing Marrow Irradiation to Condition Patients Prior to Allogeneic Hematopoietic Cell Transplant with High-Risk Hematologic Malignancies: Results of a Pilot Study

Background: Total body irradiation (TBI) has long been incorporated as part of the conditioning regimen prior to hematopoietic stem cell transplant (HSCT). While the myeloablative TBI conditioning is associated with a lower relapse rate in high risk diseases such as Acute Myeloid Leukemia (AML), Myelodysplastic Syndrome (MDS), and Acute Lymphoblastic Leukemia (ALL), it is also associated with substantial toxicities, and increased NRM so use of this regimen is limited to young patients with excellent performance status. In this study, we used a linac-based volumetric modulated arc therapy (VMAT) technique to deliver standard myeloablative radiation to high risk body sites while sparing radiation sensitive organs (Organ Sparing Marrow Targeted Irradiation, OSMI). We hypothesized that this technique would be feasible and safe in patients who are older or who have higher transplant specific comorbidity index (HCT-CI), typically ineligible for standard TBI conditioning.Methods: This is a single-arm prospective study. Patients from age 18-75 with high risk AML, MDS or ALL were eligible. There are 3 cohorts: (1) age 18-50 with HCT-CI of 3/4; (2) age 51-65 with HCT-CI of ≤ 3; and (3) age 66-75 with HCT-CI of ≤ 2. Patients receive OSMI to a total dose of 1200 cGy delivered twice daily for 6 fractions for a total of 7200 cGy. Clinical tumor volume includes total skeletal bone marrow and any sanctuary or high-risk areas. Graft-versus-host disease (GVHD) prophylaxis originally was tacrolimus and methotrexate. Given high incidence of bacterial infections related to mucositis, prophylaxis was changed to tacrolimus and sirolimus without methotrexate. All patients received Keratinocyte growth factor for prevention of mucositis. The primary objective was to assess feasibility and tolerability of OSMI based HSCT as defined by transplant-related mortality (TRM) at day 30 (D30) as well as rate of grade II/III organ toxicity (defined by Bearman Regimen-Related Toxicities Scale) attributable to conditioning occurring within 30 days.Results: Patient demographics for the 24 patients are shown in Table 1. Median age of recipients was 56.5 years. No graft failures were observed. The most common grade II or III Bearman toxicities include mucositis (grade 2: n=4), and diarrhea (grade 2: n=4). Clinical outcomes are shown in Figure 2. With a median follow-up of 3.3 years, overall survival (OS) and relapse-free survival (RFS) at 2 years was 78% and 74% respectively. Among the 5 patients who were not in complete remission at the time of transplant, 2-year OS and RFS rate was 40%. Incidence of Grades II-IV acute GVHD was 79% and Grades III-IV GVHD was 30%. Relapse incidence was 4% at 2 years. Incidence of Thrombotic microangiopathy by day 100 (TMA) as defined by Jodele's criteria was 17%. Incidence of chronic GVHD was 45% and severe chronic GVHD was 16%. One year non-relapse mortality was 22%, likely due to higher incidence of GVHD.Conclusions: Selected patients who are older or with higher HCT-CI, who are typically not candidates for standard TBI conditioning, were able to receive a radiation-based myeloablative conditioning regimen with 2 year overall survival rates of 78%. We observed a high incidence of TMA, possibly related to use of tacrolimus and sirolimus as GVHD prophylaxis, and a high incidence of Grade II-IV acute GVHD. Low incidence of relapse was observed. OSMI-based conditioning was feasible in this cohort with median age of 56 years and was associated with low rates of relapse and favorable 2 year overall survival. [Display omitted] DisclosuresVasu: Boehringer Ingelheim: Other: Travel support; Seattle Genetics: Other: travel support; Kiadis, Inc.: Research Funding; Omeros, Inc.: Membership on an entity's Board of Directors or advisory committees. Jaglowski: Novartis: Consultancy, Research Funding; Takeda: Consultancy; Juno: Consultancy; Kite, a Gilead Company: Consultancy, Research Funding; CRISPR Therapeutics: Consultancy. Brammer: Seattle Genetics: Speakers Bureau; Celgene: Research Funding; Kymera Therapeutics: Consultancy. de Lima: Incyte: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Miltenyi Biotec: Research Funding.

The effect of comorbidity on survival and collected CD34 + cell counts in autologous hematopoietic stem cell transplant patients

ObjectiveIn this study, we aimed to report the effectiveness of hematopoietic cell transplantation–specific comorbidity index (HCT-CI) and GATMO scores in predicting overall survival (OS) who underwent autologous stem cell transplantation (ASCT). Material and methodsThe data of 263 MM and 204 lymphoma patients who underwent ASCT in the last 11 years were retrospectively analyzed. ResultsNeutrophil engraftment time, thrombocyte engraftment time and collected CD34+ cell counts were similar in MM patients with HCT-CI>2 and HCT-CI≤2 (all p>0.05). Although the estimated median OS of MM patients with HCT-CI ≤2 tended to be higher than those with HCT-CI>2, this difference was not statistically significant (52.8 vs 45 months, p=0.172). No effect of GATMO score on CD34 + count, engraftment times and OS in MM patients was detected (p>0.05). The effect of HCT-CI score on lymphoma patients was examined, it was found that the neutrophil engraftment time was longer (p=0.039) and the number of collected CD34+ cells was lower (p=0.02) in patients with HCT-CI>2 than those with HCT-CI≤2. While the estimated median OS of lymphoma patients with HCT-CI≤2 was 51.5 months, the estimated median OS of patients with HCT-CI>2 was 9.5 months (p=0.012). When lymphoma patients were divided into four groups according to their GATMO scores, the OS of the four groups was found to be different from each other (p<0.001). ConclusionHCT-CI and GATMO scores predict OS in lymphoma patients but not MM patients.

The Simplified Comorbidity Index: a new tool for prediction of nonrelapse mortality in allo-HCT

AbstractIndividual comorbidities have distinct contributions to nonrelapse mortality (NRM) following allogeneic hematopoietic cell transplantation (allo-HCT). We studied the impact of comorbidities individually and in combination in a single-center cohort of 573 adult patients who underwent CD34-selected allo-HCT following myeloablative conditioning. Pulmonary disease, moderate to severe hepatic comorbidity, cardiac disease of any type, and renal dysfunction were associated with increased NRM in multivariable Cox regression models. A Simplified Comorbidity Index (SCI) composed of the 4 comorbidities predictive of NRM, as well as age >60 years, stratified patients into 5 groups with a stepwise increase in NRM. NRM rates ranged from 11.4% to 49.9% by stratum, with adjusted hazard ratios of 1.84, 2.59, 3.57, and 5.38. The SCI was also applicable in an external cohort of 230 patients who underwent allo-HCT with unmanipulated grafts following intermediate-intensity conditioning. The area under the receiver operating characteristic curve (AUC) of the SCI for 1-year NRM was 70.3 and 72.0 over the development and external-validation cohorts, respectively; corresponding AUCs of the Hematopoietic Cell Transplantation–specific Comorbidity Index (HCT-CI) were 61.7 and 65.7. In summary, a small set of comorbidities, aggregated into the SCI, is highly predictive of NRM. The new index stratifies patients into distinct risk groups, was validated in an external cohort, and provides higher discrimination than does the HCT-CI.

Patient-Based Prediction Algorithm of Relapse after Allo-HSCT for Acute Leukemia Using Machine Learning Approach

Background:Although allogeneic hematopoietic stem-cell transplantation (allo-HSCT) is a curative therapy for patients with high risk acute leukemia (AL), a method of reduction in relapse after allo-HSCT remains to be elucidated. Prognostic factors for allo-HSCT for AL, such as the Disease Risk Index (DRI), donor and conditioning type, hematopoietic cell transplantation -specific comorbidity index (HCT-CI), have been determined with conventional statistic methods like uni- and multivariate analysis. However, patient-based prediction of relapse, which would be useful for bedside decision making or for a protocol of diversified allo-HSCT, is difficult because all of these factors are related with each other in the patient.Alternating decision tree (ADTree) is a successful classification method that combines decision trees with the predictive accuracy of boosting into a set of interpretable classification rules. It is one part of the machine learning (ML) approach based on artificial intelligence and can handle multiple factors simultaneously. Recently, some ML approaches like ADTree have been highlighted as promising approaches for the development of new prediction models.Purpose:To construct a patient-based prediction algorithm of AL relapse within 1-year after allo-HSCT to help in deciding on therapy options to prevent relapse.Patients and Method:Our analysis was a retrospective, supervised data mining learning study that included 223 AL patients (acute myelogenous leukemia; AML n=132, acute lymphoblastic leukemia; ALL n=91). They received allo-HSCT at Niigata University Hospital (n=144) and Nagaoka Red Cross Hospital (n=79) from 1990 to 2016. The median age at HSCT was 38 years old (range 18-71). The median follow-up for living patients was 61 months (range 12-223). Myeloablative conditioning was used in 174 (78%) and reduced-intensity in 49 (22%) patients. Donors were related for 97 (43.5%) and unrelated for 126 (56.5%) patients. Grafts were peripheral blood stem cells in 49 (22.0%), bone marrow in 128 (57.4%) and cord blood in 46 (20.6%) patients. According to the DRI for low, intermediate, high and very high-risk, there were 12 (5.4%), 124 (55.6%), 56 (25.1%) and 31 (13.9%) patients, respectively.ADTree was performed using the WEKA software (Ver.3.9.1, Machine Learning Group at the University of Waikato, New Zealand). The algorithm model was trained and tested using 10-fold cross validation on the training data set (Niigata group) and validated again on the validation data set (Nagaoka group). The model was evaluated for prediction accuracy and the area under curve (AUC) of the receiver operating characteristics (ROC) analysis, which discriminates the true prediction rate from the false prediction rate, was determined.Result:The 1-year relapse rate and 1-year overall survival of all patients were 35.5% and 69.7%, respectively. The ADTree model selected 10 clinical variables based on the statistical values during analysis. As the accuracy rate and the AUC of prediction of this algorithm were 76.2% and 0.690 in the training data set and 77.2% and 0.714 in the validation data set, respectively (Table 1), this model has high accuracy and generalization ability for predicting AL relapse.Figure 1 shows the graphical output of the ADTree prediction model. Each score indicates the prediction node weight (NW); NW<0 lower risk and NW>0 higher risk to relapse. In the same disease stage categories (DRI; very high), AML patients had lower risk (NW, -0.133) than ALL patients (NW, 0.568). The final judgment of AL relapse prediction within 1-year was as follows; total NW sum> 0 was predicted relapse and <0 was no predicted relapse, respectively.For example, in the case of a patient (DRI; high, under 40 years old and HCT-CI ≦2) who received CBT (cord blood transplantation) with total body irradiation (TBI), the NW sum was -1.165<0, which indicates no predicted relapse. On the other hand, if the same patient received allo-HSCT not with CBT and without TBI, his NW sum would be 0.116>0, which indicates predicted relapse. (Table 2)Conclusion:This algorithm has high prediction accuracy and generalization ability. Our analysis suggested that the AL relapse within 1-year may be changed by therapy options. The ML approach like ADTree is promising to construct a new patient-based prognostic prediction algorithm and it may be useful in bed-side decision-making for diversified allo-HSCT protocols. [Display omitted] DisclosuresNo relevant conflicts of interest to declare.

A New Risk Assessment Tool for Allogeneic Hematopoietic Stem Cell Transplantation

Introduction:Allogeneic hematopoietic stem cell transplantation (HSCT), can be curative for many hematologic disorders. However, HSCT is still associated with significant risks. HSCT outcomes are dependent on patient, disease and transplant related factors. There are a number of assessment tools being used to predict outcomes. Some use patient related variables such as the hematopoietic cell transplantation specific comorbidity index (HCT-CI), some use disease-related variables such as the disease-risk index (DRI) and some others incorporate combined variables. We aimed to incorporate disease, patient comorbidities, donor, and transplant characteristics into one comprehensive prognostic model to predict 2 year disease-free survival (DFS).Methods:273 consecutive patients (162 males, 111 females) receiving an initial HSCT from 2010 and 2016 were identified and retrospectively analyzed. Median age was 56 years (range 18-76 years) and a broad representation of hematologic disorders (119 AML, 46 ALL, 60 MDS, 18 NHL, 30 other) were included. All pts received peripheral blood as graft source. The majority received an unrelated donor transplant (166) and were conditioned with a myeloablative regimen (199).The dataset was randomly split in a 2:1 ratio to create training and testing dataset prior to data analysis. Variables under consideration as predictors of 2 year disease-free survival included: patient (age, sex, blood type, CMV status, Karnofsky Performance Status, HCT-CI), donor (age, sex, blood type, CMV status), disease (type, time since diagnosis, Disease Risk Index), and transplant (prep regimen, year of transplant, related/unrelated, match/mismatch) characteristics. Using the training dataset, a lasso penalized Cox regression was applied with the penalty parameter being derived as the mean of 1,000 iterations of 10-fold cross-validation. Patient risk scores was computed from the model and used to stratify patients based on a median split of risk scores; survival differences were evaluated using the log-rank test. Model performance was evaluated in the training and testing datasets by deriving time-dependent AUC curves, evaluating survival differences by risk strata, and comparing predicted to observed survival probabilities at 2 years.Results:Karnofsky Performance Status (<90, 90+), Disease Risk Index (Low, Intermediate/High), HCT-CI (Low, Intermediate/High), prep regimen (RIC/Non-myeloablative, myeloablative), and donor age (<30, 30+) were selected by the model. More specifically, lower performance status (HR 1.3), higher Disease Risk Index (HR 1.4), higher HCT-CI (HR 1.3), RIC/non-myeloablative prep regimen (HR 1.1), older donor age (HR 1.1) were associated with poorer disease-free survival. The prognostic model derived from the training dataset demonstrated good discrimination for the prediction of 2 year DFS with a median AUC value of 0.72 (IQR 0.69-0.73). When applied to the testing dataset, an AUC value of 0.73 was obtained. Across time, results were relatively consistent between 1 and 2 years post-transplant. A significant difference between the two risk strata was evidenced in the training and testing dataset (Figure 1, p<0.01). Comparison of predicted and observed survival probabilities at 2 years demonstrated agreement in both datasets.Conclusion:This comprehensive prognostic model is able to stratify patients into high risk and low risk groups with significantly different outcome. The inclusion of additional variables in the model increased accuracy (higher AUC) relative to existing models, which highlights the importance of taking into consideration additional constructs when trying to predict DFS. Further independent validation of our findings is necessary. [Display omitted] DisclosuresNo relevant conflicts of interest to declare.

Grip Strength Changes in Bone Marrow Transplant Patients

Emerging evidence that cancers survivors may experience premature aging has prompted epidemiology research aimed at the characterization of key premature aging phenotypes. Physical functioning data relevant for premature aging phenotype classification in cancer survivors, however, remain scarce. We assessed the burden of dynapenia, a key sarcopenia indicator, and muscle strength loss in the understudied population of bone marrow transplant (BMT) patients. This study involved secondary analyses of data from patients who underwent bone marrow transplant (BMT) in a cancer Institute in South Florida (June 2018-April 2019) with traditional hematopoietic cell transplantation specific comorbidity index (HCT-CI) scores and other relevant information. T-tests for paired data assessed pre- vs. post-BMT changes in grip strength (GS) (n=9). Prevalence of dynapenia (GS<27Kg and <16Kg) in pre-BMT (n=20) and post-BMT (n=9) periods were calculated. Median age [25th-75th percentiles] age was 61 [55-68] years old. Fifty-percent were females. GS and HCT-CI scores were not correlated. Mean GS loss after BMT was 6.4 Kg (95% confidential interval: 2.5-10.4 Kg, p-value=.003) in post-BMT (median-time-after-BMT: 90 days) minus pre-BMT (median-time-before-BMT: 62 days) comparison. Proportion with dynapenia increased from 10% (1/10) to 20% (1/5) in women, and 10% (1/2) to 75% (3/4) in men. We observed substantial muscle strength loss and dynapenia burden in patients who underwent BMT. Considering that dynapenia is a major, potentially modifiable risk factor for frailty, which is not captured by HCT-TI, we speculated that dynapenia-related targeted assessments and interventions – preventive and/or rehabilitative – could offer complementary approaches for treatment enhancement in BMT patients.

Autologous Stem Cell Transplantation for Multiple Myeloma Patients Aged ≥ 75 Treated with Novel Agents

Introduction Autologous stem cell transplantation (ASCT) has been used for treating multiple myeloma (MM) for over three decades and is generally reserved for patients younger than 65 years of age. The definition of transplant eligible is ill-defined and different centers have different policies to determine which patients are transplant eligible. Some centers have an age cut-off, others use clinical judgment, and some use various frailty scores (a scoring system based on comorbidities and physical and cognitive assessments) aiming to objectively assess transplant eligibility. There are limited data about outcomes in patients ≥ 75 years. Aim To report on outcomes of ASCT in a cohort of patients with MM aged 75 years or older. Methods Retrospective study of all consecutive MM patients aged ≥ 75 years that underwent ASCT at Mayo Clinic, Rochester, Minnesota. Stem cell transplantation at our center is routinely performed as an outpatient, with patients being hospitalized when deemed clinically necessary upon physician review. Results Between October 2005 and March 2020, 46 patients aged 75 years or older, received an ASCT at Mayo Clinic, Rochester. The median hematopoietic stem cell transplantation specific comorbidity index (HCT-CI) was 0 (range 0-6) with 8 patients having HCT-CI of 5 or 6. Median time from diagnosis to ASCT was 6.45 months (IQR 5.2-10.52) and 54% received reduced intensity conditioning with melphalan 140 mg/m2. All patients except one (that was treated with dexamethasone only) received induction with novel agents (listed in table 1) and 6 patients (13%) received doublet induction. All others received triplet induction. 46% of patients completed the ASCT without requiring hospitalization and 54% (n=25) of patients required hospitalization with a median duration of hospital admission of 9 days (IQR 5-13). Reasons for hospitalization included fever or infection (32%), cardiac arrhythmia (36%) and dehydration (32%). Overall response rate was 100% with a complete response seen in 57% of patients and 16 patients achieving MRD negative sCR. Median overall survival and progression free survival for the cohort were 82 months and 33 months, respectively. One patient died within 100 days of transplant representing a 2% 100-day mortality rate. Univariable cox regression model that evaluated the effect of gender, high risk cytogenetics, hemoglobin, renal function and melphalan dose did not detect any variable that was predictive of OS or PFS (Table 3). Conclusions ASCT is efficacious and can be safely delivered in the outpatient setting in carefully screened patients aged 75 or above. An arbitrary cutoff for age should not be used to exclude patients from ASCT, rather a careful assessment of "physiological age" including performance status and co-morbidities is required by an experienced treating team. Disclosures Kumar: Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Cellectar: Other; Carsgen: Other, Research Funding; Dr. Reddy's Laboratories: Honoraria; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Sanofi: Research Funding; Kite Pharma: Consultancy, Research Funding; Novartis: Research Funding; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Merck: Consultancy, Research Funding; MedImmune: Research Funding; BMS: Consultancy, Research Funding; Tenebio: Other, Research Funding; Karyopharm: Consultancy; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Genecentrix: Consultancy; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Adaptive Biotechnologies: Consultancy. Dispenzieri:Pfizer: Research Funding; Janssen: Research Funding; Alnylam: Research Funding; Intellia: Research Funding; Takeda: Research Funding; Celgene: Research Funding. Dingli:Bristol Myers Squibb: Research Funding; Rigel: Consultancy; Janssen: Consultancy; Alexion: Consultancy; Karyopharm Therapeutics: Research Funding; Apellis: Consultancy; Sanofi-Genzyme: Consultancy; Millenium: Consultancy. Kapoor:Cellectar: Consultancy; Takeda: Honoraria, Research Funding; Celgene: Honoraria; Amgen: Research Funding; Sanofi: Consultancy, Research Funding; Janssen: Research Funding; GlaxoSmithKline: Research Funding. Gertz:Prothena: Other: personal fee; Medscape: Other: personal fee, Speakers Bureau; Appellis: Other: personal fee; Alnylam: Other: personal fee; Ionis/Akcea: Other: personal fee; Janssen: Other: personal fee; Research to Practice: Other; Sanofi: Other; Teva: Speakers Bureau; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Proclara: Other; Springer Publishing: Patents &amp; Royalties; Celgene: Other; Physicians Education Resource: Other: personal fee; Aurora Bio: Other; Amgen: Other: personal fee; Annexon: Other: personal fee; Spectrum: Other: personal fee, Research Funding; Abbvie: Other.

Pretransplant Plasma Brain Natriuretic Peptide and N-Terminal Pro-Brain Natriuretic Peptide Are More Useful Prognostic Markers of Overall Survival after Allogeneic Hematopoietic Cell Transplantation Than Echocardiography

Pretransplant Plasma Brain Natriuretic Peptide and N-Terminal Pro-Brain Natriuretic Peptide Are More Useful Prognostic Markers of Overall Survival after Allogeneic Hematopoietic Cell Transplantation Than Echocardiography

Allogeneic stem cell transplantation for chronic lymphocytic leukemia in the era of novel agents

AbstractAlthough novel agents (NAs) have improved outcomes for patients with chronic lymphocytic leukemia (CLL), a subset will progress through all available NAs. Understanding outcomes for potentially curative modalities including allogeneic hematopoietic stem cell transplantation (alloHCT) following NA therapy is critical while devising treatment sequences aimed at long-term disease control. In this multicenter, retrospective cohort study, we examined 65 patients with CLL who underwent alloHCT following exposure to ≥1 NA, including baseline disease and transplant characteristics, treatment preceding alloHCT, transplant outcomes, treatment following alloHCT, and survival outcomes. Univariable and multivariable analyses evaluated associations between pre-alloHCT factors and progression-free survival (PFS). Twenty-four-month PFS, overall survival (OS), nonrelapse mortality, and relapse incidence were 63%, 81%, 13%, and 27% among patients transplanted for CLL. Day +100 cumulative incidence of grade III-IV acute graft-vs-host disease (GVHD) was 24%; moderate-severe GVHD developed in 27%. Poor-risk disease characteristics, prior NA exposure, complete vs partial remission, and transplant characteristics were not independently associated with PFS. Hematopoietic cell transplantation–specific comorbidity index independently predicts PFS. PFS and OS were not impacted by having received NAs vs both NAs and chemoimmunotherapy, 1 vs ≥2 NAs, or ibrutinib vs venetoclax as the line of therapy immediately pre-alloHCT. AlloHCT remains a viable long-term disease control strategy that overcomes adverse CLL characteristics. Prior NAs do not appear to impact the safety of alloHCT, and survival outcomes are similar regardless of number of NAs received, prior chemoimmunotherapy exposure, or NA immediately preceding alloHCT. Decisions about proceeding to alloHCT should consider comorbidities and anticipated response to remaining therapeutic options.

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

IntroductionTo 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.MethodsOne 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.ResultsThe 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.ConclusionsThis 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.

Improved Outcomes after Allogenic Hematopoietic Stem Cell Transplantation with Fludarabine/Treosulfan for Patients with Myelodysplastic Syndromes.

While allogeneic hematopoietic stem cell transplantation (allo-HCT) currently offers the only curative option for patients with myelodysplastic syndrome (MDS), there is still a high risk of relapse or transplant-related complications. We collected data on all patients who had undergone allo-HCT at our center (Copenhagen University Hospital) between 2000 and 2018. In total, 215 patients with MDS (n=196) or chronic myelomonocytic leukemia (n=19) were included. Estimated 1-year overall survival (OS) was 70.3% (95% confidence interval [CI], 64.2% to 77.0%), and the median survival was 7.7 years (95% CI, 4.7 to indeterminable). There was a significant improvement in OS over time (P=.011, comparing 2000 to 2010, 2010 to 2014, and 2014 to 2018). Treatment was standardized throughout the study period, allowing comparison between patients receiving nonmyeloablative (NMA, n=124), standard myeloablative (SMA, n=36), and fludarabine and treosulfan (FluTreo, n=55) conditioning. FluTreo has myeloablative properties but lower toxicity and replaced standard myeloablative conditioning at our center in 2014. The FluTreo group was significantly older and had more comorbidities than the SMA group but similar disease severity. One-year OS was 84.0% (95% CI, 74.3% to 94.9%), 58.3% (95% CI, 44.3% to 76.9%), and 68.3% (95% CI, 60.2% to 77.5%) for FluTreo, SMA, and NMA, respectively (P=.04). In univariate analysis, Revised International Scoring System (IPSS-R) (high versus low), donor sex mismatch, and cytomegalovirus status mismatch were significant factors for OS. In multivariate analysis of OS including age, IPSS-R, and HCT specific comorbidity index, NMA was borderline inferior to FluTreo (P=.073) while SMA was significantly inferior to FluTreo with a hazard ratio of 6.89 (95% CI, 2.53 to 18.77, P < .001). The introduction of FluTreo allowed us to administer a myeloablative regimen to a broader patient group and shows promising results.

Equivocal Significance of Prior Malignancies to Predict Overall Survival of Multiple Myeloma Patients after Autologous Hematopoietic Cell Transplant

Introduction Hematopoietic cell transplantation (HCT)-specific comorbidity index (Sorror et al. Blood 2005) is highly recommended by National Marrow Donor Program as a risk assessment tool before HCT. Prior malignancies has one of the highest weighted score of 3 in this risk model. The isolated prognostic value of prior malignancies has not been evaluated in Multiple Myeloma (MM) patients (pts) who underwent autologous HCT (AHCT) in large databases. We hereby used national cancer database (NCDB) to evaluate this. Methods NCDB covers more than 70% of newly diagnosed cancer pts in the U.S. We reviewed NCDB, using ICD-O code of 9732, to identify pts who were diagnosed with MM between 2010 and 2014, underwent systemic treatment within 90 days of the diagnosis, and subsequently AHCT. Prior malignancy was not incorporated into Charlson comorbidity index at NCDB and reported separately. Average annual volume of a cancer center for MM is calculated among pts who met the inclusion criteria. Overall survival (OS) was estimated by the Kaplan-Meier method and compared with the log-rank test. Cox hazard analysis was performed to identify independent predictors of OS. Results We reviewed 12,427 pts and included 4358 pts who met inclusion criteria. Of which, 2481 (57%) were male, 693 (16%) were black, and 412 (10%) had at least one malignancies prior to MM. Median age at the diagnosis and time to initiation of systemic treatment after the diagnosis were 60 years (range: 25 – 80) and 17 days (range: 1 – 90), respectively. The Charlson comorbidity index was 0, 1, and ≥2 for 3646 (84%), 558 (13%), 154 (3%) pts, respectively. Durie-Salmon stage (DSS) at diagnosis was 1, 2, and 3 for 562 (13%), 1040 (24%), 2756 (63%) pts, respectively. Patient and treatment characteristics are compared between prior and no prior malignancy cohorts in table 1. Median follow-up time of pts was 36 months. Five-year OS of MM pts with and without prior malignancies was 75.6% (95% CI: 69.6 – 82.2) and 73.9% (95% CI: 71.6 – 76.2), respectively (p = 0.7) (Figure 1A). On multivariable analysis, each 10-year increase in age (HR 1.14, 95% CI: 1.02 – 1.26, p = 0.017), each 1 increase in comorbidity index (HR 1.24, 95% CI: 1.08 – 1.42, p=0.002) and year of MM diagnosis (HR 1.15, 95% CI: 1.06 – 1.24, p = 0.0008), DSS 3 vs 1 or 2 (HR 1.38, 95% CI: 1.16 – 1.64, p=0.0002), immunotherapy prior to AHCT (HR 0.72, 95% CI: 0.61 – 0.86, p = 0.0001), and each 10 increase in annual AHCT volume of a cancer center for MM (HR 0.98, 95% CI: 0.97 – 0.99, p = 0.016) were independent predictors of OS (Table 2). Conclusion In this large cohort analysis, prior malignancy was not a predictor of OS for MM pts who underwent AHCT. The role of prior malignancies in defining transplant eligibility requires future evaluation and the weighted value of this item in the comorbidity index should be considered for downward revision.

Outcomes of Allogeneic Stem Cell Transplant for Elderly Patients with Hematologic Malignancies

Reduced-intensity conditioning (RIC) regimens, improved HLA matching, and better supportive care allow allogeneic stem cell transplant (alloSCT) to be offered to older patients. Only a small percentage of eligible patients between ages 65 and 74 years actually undergo alloSCT, and comprehensive outcome data from the aging population are still lacking. We examined the outcome of older patients who underwent alloSCT using melphalan-based RIC for hematologic malignancies at our institution. We identified 125 patients older than 65 years (median, 69; range, 66 to 77) who underwent matched related donor, matched unrelated donor, or combined haploidentical/umbilical cord alloSCT between 2012 through November, 2017. Among them, 52 (41.6%) and 70 (56%) had, respectively, intermediate and high/very high Center for International Blood and Marrow Transplant Research (CIBMTR) disease risk index (DRI). One hundred six patients (85%) received fludarabine/melphalan-based RIC regimen with either antithymocyte globulin (ATG) or alemtuzumab. The median time to neutrophil engraftment was 13 days (range, 8 to 37) and platelet engraftment 17 days (range, 9 to 169). The cumulative incidence of nonrelapse mortality was 11.5% at 100 days and 30.1% and 34.8% at 1 and 2 years, respectively. The cumulative incidence of relapse was 35% and 40% at 1 and 2 years. The cumulative incidence of grades II to IV acute graft-versus-host disease (GVHD) at day 100 and 6 months was 29.5% and 34.5%, and chronic GVHD at 6, 12, and 24 months was 2.5%, 5.2%, and 6.3%, respectively. With a median follow-up of 32 months, the 1-, 2-, and 3-year progression-free survival (PFS) was 34.6%, 24.4%, and 16.5%, respectively. The graft GVHD-free survival was 24.6%, 16.1%, and 9.3%, respectively. The 1-, 2-, and 3-year overall survival (OS) was 44.5%, 30.7%, and 26.5%, respectively. In multivariable analysis, low albumin was predictive of poor PFS and OS and high hematopoietic cell transplantation-specific comorbidity index, and CIBMTR DRI was predictive of worse graft GVHD-free survival. Among long-term survivors the median Karnofsky performance status was 80. Older patients, even when referred with advanced disease, can benefit from melphalan-based alloSCT with HLA-matched or alternative donor sources without discernible impact of donor source on outcome. Using alemtuzumab- or ATG-based in vivo T cell depletion, the incidence of chronic GVHD is extremely low. Performance status in survivors is excellent. Better predictors for outcome in this patient population need to be identified.