Financial Toxicity, Time Toxicity, and Quality of Life in Multiple Myeloma.

BACKGROUND: Patients with multiple myeloma (MM) may be on therapy for years, which can lead to financial toxicity (FinTox) or time toxicity (TimeTox). The prevalence, predictors, and quality of life (QOL) impacts of FinTox and TimeTox during different phases of MM treatment have not been characterized. PATIENTS AND METHODS: We conducted a single-center cross-sectional survey of patients with MM who had undergone transplantation. FinTox+ was defined as a COST-FACIT score <23, TimeTox+ as MM-related interactions (including phone calls) ≥1x weekly or ≥1x monthly in-person among far-residing patients, QOL using PROMIS Global Health, and functional status using patient-reported Karnofsky performance status (KPS). RESULTS: Of 252 patients, 22% and 40% met FinTox+ and TimeTox+ criteria respectively. Respective FinTox+ and TimeTox+ proportions were 22%/37% for patients on maintenance, 22%/82% with active therapy, and 20%/14% with observation. FinTox+ predictors included annual income (P < .01) and out-of-pocket costs (P < .01). TimeTox+ predictors included disease status (P < .001), caregiver status (P = .01), far-residing status (P < .001), and out-of-pocket costs (P = .03). FinTox+ was associated with a clinically meaningful decrease in mental QOL, while TimeTox+ patients were more likely to have KPS ≤ 80. CONCLUSIONS: In our large study, monetary status but not disease status predicted FinTox. Over a third of patients on maintenance reported TimeTox. FinTox+ was associated with decreased mental health, while TimeTox+ was associated with worse performance status. These two toxicities may negatively impact patient wellbeing, and studies of strategies to mitigate their impact are in development.

Targeted Radiation Delivery before Haploidentical HCT for High-risk Leukemia or MDS Patients Yields Long-term Survivors.

PURPOSE: Hematopoietic cell transplantation (HCT) has curative potential for myeloid malignancies, though many patients cannot tolerate myeloablative conditioning with high-dose chemotherapy alone or with total-body irradiation (TBI). Here we report long-term outcomes from a phase I/II study using iodine-131 (131I)-anti-CD45 antibody BC8 combined with nonmyeloablative conditioning prior to HLA-haploidentical HCT in adults with high-risk relapsed/ refractory acute myeloid or lymphoid leukemia (AML or ALL), or myelodysplastic syndrome (MDS; ClinicalTrials.gov, NCT00589316). PATIENTS AND METHODS: Patients received a tracer diagnostic dose before a therapeutic infusion of 131I-anti-CD45 to deliver escalating doses (12-26 Gy) to the dose-limiting organ. Patients subsequently received fludarabine, cyclophosphamide (CY), and 2 Gy TBI conditioning before haploidentical marrow HCT. GVHD prophylaxis was posttransplant CY plus tacrolimus and mycophenolate mofetil. RESULTS: Twenty-five patients (20 with AML, 4 ALL and 1 high-risk MDS) were treated; 8 had ≥ 5% blasts by morphology (range 9%-20%), and 7 had previously failed HCT. All 25 patients achieved a morphologic remission 28 days after HCT, with only 2 patients showing minimal residual disease (0.002-1.8%) by flow cytometry. Median time to engraftment was 15 days for neutrophils and 23 days for platelets. Point estimates for overall survival and progression-free survival were 40% and 32% at 1 year, and 24% at 2 years, respectively. Point estimates of relapse and nonrelapse mortality at 1 year were 56% and 12%, respectively. CONCLUSIONS: 131I-anti-CD45 radioimmunotherapy prior to haploidentical HCT is feasible and can be curative in some patients, including those with disease, without additional toxicity.

Development and Validation of a Machine Learning Model to Estimate Bacterial Sepsis Among Immunocompromised Recipients of Stem Cell Transplant.

Importance: Sepsis disproportionately affects recipients of allogeneic hematopoietic cell transplant (allo-HCT), and timely detection is crucial. However, the atypical presentation of sepsis within this population makes detection challenging, and existing clinical sepsis tools have limited prognostic value among this high-risk population. Objective: To develop a full risk factor (demographic, transplant, clinical, and laboratory factors) and clinical factor-specific automated bacterial sepsis decision support tool for recipients of allo-HCT with potential bloodstream infections (PBIs). Design, Setting, and Participants: This prognostic study used data from adult recipients of allo-HCT transplanted at the Fred Hutchinson Cancer Research Center, Seattle, Washington, between June 2010 and June 2019 randomly divided into 70% modeling and 30% validation data sets. Tools were developed using the area under the curve (AUC) optimized SuperLearner, and their performance was compared with existing clinical sepsis tools: National Early Warning Score (NEWS), quick Sequential Organ Failure Assessment (qSOFA), and Systemic Inflammatory Response Syndrome (SIRS), using the validation data set. Data were analyzed between January and October of 2020. Main Outcomes and Measures: The primary outcome was high-sepsis risk bacteremia (culture confirmed gram-negative species, Staphylococcus aureus, or Streptococcus spp bacteremia), and the secondary outcomes were 10- and 28-day mortality. Tool discrimination and calibration were examined using accuracy metrics and expected vs observed probabilities. Results: Between June 2010 and June 2019, 1943 recipients of allo-HCT received their first transplant, and 1594 recipients (median [interquartile range] age at transplant, 54 [43-63] years; 911 [57.2%] men; 1242 individuals [77.9%] identifying as White) experienced at least 1 PBI. Of 8131 observed PBIs, 238 (2.9%) were high-sepsis risk bacteremia. Compared with high-sepsis risk bacteremia, the full decision support tool had the highest AUC (0.85; 95% CI, 0.81-0.89), followed by the clinical factor-specific tool (0.72; 95% CI, 0.66-0.78). SIRS had the highest AUC of existing tools (0.64; 95% CI, 0.57-0.71). The full decision support tool had the highest AUCs for PBIs identified in inpatient (0.82; 95% CI, 0.76-0.89) and outpatient (0.82; 95% CI, 0.75-0.89) settings and for 10-day (0.85; 95% CI, 0.79-0.91) and 28-day (0.80; 95% CI, 0.75-0.84) mortality. Conclusions and Relevance: These findings suggest that compared with existing tools and the clinical factor-specific tool, the full decision support tool had superior prognostic accuracy for the primary (high-sepsis risk bacteremia) and secondary (short-term mortality) outcomes in inpatient and outpatient settings. If used at the time of culture collection, the full decision support tool may inform more timely sepsis detection among recipients of allo-HCT.