Introduction: CAR-T cell therapy is associated with extra-ordinary costs with estimates of as much as $1.5 million in some patients, including the high list-price for the CAR-T product, additional costs of inpatient stay, toxicity management and outpatient follow-up. As a result, CAR-T therapy may be associated with financial toxicity for patients due to high costs, as well as the financial strain of travel and/or temporary relocation. To date, there are no published studies assessing financial toxicity among CAR-T patients. Methods: Adult patients with hematologic malignancies receiving CAR-T therapy (commercial and clinical trial products) were prospectively recruited from two academic centers to this longitudinal, mixed methods study evaluating financial toxicity in CAR-T recipients. Patients completed questionnaires and telephone interviews prior to CAR-T, 28 days (questionnaire only), 90 days, and 180 days after treatment. The questionnaire included the Comprehensive Score for Financial Toxicity (COST-FACIT), a validated questionnaire with 12 questions on financial stressors of cancer care. Eleven of the 12 items are used to create a summary score ranging from 0 to 44, with higher scores indicating better financial well-being. Validation studies have established clinically meaningful grades of financial toxicity: scores 26+ = grade 0; 14-25 = grade 1; < 14 = grade 2; 0 = grade 3. Semi-structured interviews included questions on financial concerns, impacts on lifestyle, and other medical costs, including questions like "Has the financial cost of your cancer treatments up until this point affected your lifestyle?" Quantitative analysis included COST-FACIT scores summarized as means, ranges, and standard deviations at each timepoint, including longitudinal change from baseline. Qualitative analysis included recording interviews, professional transcription, team-based codebook development, and systematic thematic analysis. Results: We report on 28 patients enrolled from August 2020 to June 2021. For questionnaires, 26 completed baseline, 23 completed day 28 (1 patient died and 2 have not reached this timepoint), 12 completed day 90 (11 have not reached this timepoint), and 8 completed day 180 (16 have not reached this timepoint). For qualitative interviews, 16 completed baseline telephone interviews, 6 completed day 90 (10 have not reach this timepoint), and 4 completed day 180 (12 have not reached this timepoint). Median age was 57.7 years, 52% were male, 21% Hispanic/Latinx, 75% white, 8% Asian, and 4% Hawaiian/Pacific Islander. A majority of patients were (76%) married. COST-FACIT scores were highest at baseline indicating higher financial well-being (mean 29), and also represented the largest range (range 8-44) suggesting patients come into CAR-T at different levels of financial toxicity, ranging from grade 0 to grade 2 (Figure 1). Average financial toxicity at Baseline and Day 28 corresponded to grade 0 toxicity. Financial well-being declined thereafter, elevating to grade 1 toxicity with the average score 25.2 at day 90 and 23.6 at day 180. At Baseline, Day 28, and Day 90 there are patients experience grades 0, 1, and 2 financial toxicity. Qualitative themes include: Insurance, Lodging/Relocation, Work/Income, Nontraditional sources of funding, Discussion with Providers (Table 1). Preliminary assessment of thematic patterns over time supports the quantitative results, with patients expressing little to no financial concerns at baseline, often citing "great insurance", with changes at day 90 recognizing the additional costs not covered by insurance, and uncertainty of insurance coverage. Conclusions: Our results using both quantitative and qualitative methods indicate the financial impact of CAR-T therapy extends beyond the cost of treatment. Patients undergoing CAR-T therapy experience financial toxicity, with its impact worsening with time as the stressors and payments cumulate. These data are important for understanding the full patient experience with CAR-T therapy and emphasize that durable support and resources are needed to help patients with financial toxicity. Concern for financial toxicity may limit access to this therapy and future research should focus on access to therapy based on personal financial concerns and referral patterns. Figure 1 Figure 1. Disclosures Frank: Allogene Therapeutics: Research Funding; Kite-Gilead: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Research Funding. Miklos: Pharmacyclics, Amgen, Kite, a Gilead Company, Novartis, Roche, Genentech, Becton Dickinson, Isoplexis, Miltenyi, Juno-Celgene-Bristol Myers Squibb, Allogene, Precision Biosciences, Adicet, Adaptive Biotechnologies: Research Funding; Adaptive Biotechnologies, Novartis, Juno/Celgene-BMS, Kite, a Gilead Company, Pharmacyclics-AbbVie, Janssen, Pharmacyclics, AlloGene, Precision Bioscience, Miltenyi Biotech, Adicet, Takeda: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Patents & Royalties; Kite, a Gilead Company, Amgen, Atara, Wugen, Celgene, Novartis, Juno-Celgene-Bristol Myers Squibb, Allogene, Precision Bioscience, Adicet, Pharmacyclics, Janssen, Takeda, Adaptive Biotechnologies and Miltenyi Biotechnologies: Consultancy. Shah: Umoja: Consultancy; Miltenyi Biotec: Consultancy, Honoraria, Research Funding; Lily: Consultancy, Honoraria, Research Funding; Incyte: Consultancy; Kite: Consultancy; Legend: Consultancy; Epizyme: Consultancy. D'Souza: Imbrium, Pfizer, BMS: Membership on an entity's Board of Directors or advisory committees; Sanofi, Takeda, Teneobio, CAELUM, Prothena: Research Funding; Janssen, Prothena: Consultancy. Muffly: Pfizer, Amgen, Jazz, Medexus, Pfizer: Consultancy; Astellas, Jasper, Adaptive, Baxalta: Research Funding; Adaptive: Honoraria, Other: fees for non-CME/CE services: , Research Funding. Sidana: Allogene: Research Funding; Janssen: Consultancy, Research Funding; BMS: Consultancy; Magenta Therapeutics: Consultancy, Research Funding.
Introduction: As the use of CAR-T cell therapy grows, there is an increased need to understand its impact on the patient experience, especially symptom burden and cognitive function. While the immediate side-effects of CAR-T therapy have been reported, our study aims to describe the longitudinal impact of CAR-T therapy on patients' quality of life (QoL), including patient-reported cognitive function and performance-based cognition, which are not well understood. Methods: Patients with hematologic malignancies undergoing CAR-T therapy were prospectively recruited from two academic centers. The primary endpoint was feasibility of completing longitudinal PRO assessments and PBM of cognition. NIH PROMIS measures assessed physical, mental, cognitive, and social health. PROMIS measures use the t-score metric, where 50 is the average in the U.S. population and a 5 point (0.5 SD) change was considered clinically meaningful. The NIH Toolbox Cognition Battery measured 6 constructs of cognition, scored on the t-score metric (10 point = 1SD, change considered clinically meaningful). Exploratory analyses described change from baseline. PROMIS measures were completed at baseline, 7 and 14 days, 1, 3, 6, and 12 months (mo) after CAR-T. The Toolbox was assessed at baseline, 1 month, and 12 months. Due to COVID restrictions on in person research, the Toolbox could not be assessed for the first 13 patients. Results: From 8/2020 to 6/2021, 28 patients have been enrolled. Baseline, day 7, day 14, 1 mo, 3 mo, and 6 mo data were available in 27, 20, 21, 23, 15 (10 not yet reached), and 9 (16 not yet reached) patients, respectively. The mean age was 57 years (range 27-78); 44% were female. Race distribution was: Caucasian 75%, Asian 8%, Hawaiian/Pacific Islander 4% and other race 8%; 21% were Hispanic ethnicity. Patients received CAR-T for diagnoses of NHL (75%), MM (17%), and ALL (13%). CRS was seen in 86% (all grade 1-2), neurotoxicity (ICANS) in 34% (grade 1-2: N=5 and grade > 3: N=5). PROMIS questionnaires were completed in >70% of patients across all timepoints with current follow-up; thus it was feasible to collect these data at frequent intervals after CAR-T. Mean baseline PROMIS t-scores (N=27) were similar to the average US population in all domains (fatigue: 53, sleep: 52, pain: 52, anxiety: 53, depression: 49) except for decreased physical function (44) among patients (Fig 1a-b). Physical function, fatigue, and pain interference worsened during the first month but returned to baseline by month 3 (Fig 1a-b). PBM of cognition (NIH Toolbox) were assessed at baseline in 15 pts and 1 mo in 8 patients (4 incomplete, 3 not reached timepoint). The toolbox requires in-person administration and takes 35 minutes, but has been completed in 75% of evaluable patients. At baseline, the mean total composite score was 65 th percentile and t-score was 57; mean fluid composite score was 50 th percentile and t-score was 50; mean crystallized composite score was 69 th percentile and t-score was 58 (fluid composite score measures ability to reason, crystallized composite score measures accrual of knowledge over time, Weintraub et al Neurology 2013). Little change in scores was seen in language domains and some increase (not clinically significant) was seen in constructs on attention, executive function, and episodic memory. While not significant, a trend towards worsening working memory and processing speed and a trend towards worsening t-scores for all composite scores was seen (Figure 1c). 2 patients with neurotoxicity grade 3 and available baseline and 1-mo Toolboxes were noted to have decreases in all composite scores (clinically significant in 1). Patients did not self-report changes in cognitive function over 6 months (Fig 1d). Conclusion: This study reports early data from longitudinal neurocognitive assessments and PROs in patients undergoing CAR-T. It is feasible for patients undergoing CAR-T to complete PROMIS surveys (PROs) and NIH cognitive Toolboxes (performance-based test). Early and frequent PRO surveys captured initial worsening in physical function, fatigue, and pain interference that returned to baseline by month 3. There was no change in patient-reported cognitive function over time, but using PBM cognition testing, we noted a trend towards worsening cognition in some domains. Continued patient accrual and longer follow up will allow assessment of degree and persistence of worsened PBM cognition associated with CAR-T. Figure 1 Figure 1. Disclosures Frank: Allogene Therapeutics: Research Funding; Kite-Gilead: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Research Funding. Shah: Lily: Consultancy, Honoraria, Research Funding; Miltenyi Biotec: Consultancy, Honoraria, Research Funding; Epizyme: Consultancy; Legend: Consultancy; Kite: Consultancy; Incyte: Consultancy; Umoja: Consultancy. D'Souza: Imbrium, Pfizer, BMS: Membership on an entity's Board of Directors or advisory committees; Janssen, Prothena: Consultancy; Sanofi, Takeda, Teneobio, CAELUM, Prothena: Research Funding. Miklos: Pharmacyclics: Patents & Royalties; Kite, a Gilead Company, Amgen, Atara, Wugen, Celgene, Novartis, Juno-Celgene-Bristol Myers Squibb, Allogene, Precision Bioscience, Adicet, Pharmacyclics, Janssen, Takeda, Adaptive Biotechnologies and Miltenyi Biotechnologies: Consultancy; Pharmacyclics, Amgen, Kite, a Gilead Company, Novartis, Roche, Genentech, Becton Dickinson, Isoplexis, Miltenyi, Juno-Celgene-Bristol Myers Squibb, Allogene, Precision Biosciences, Adicet, Adaptive Biotechnologies: Research Funding; Adaptive Biotechnologies, Novartis, Juno/Celgene-BMS, Kite, a Gilead Company, Pharmacyclics-AbbVie, Janssen, Pharmacyclics, AlloGene, Precision Bioscience, Miltenyi Biotech, Adicet, Takeda: Membership on an entity's Board of Directors or advisory committees. Muffly: Pfizer, Amgen, Jazz, Medexus, Pfizer: Consultancy; Adaptive: Honoraria, Other: fees for non-CME/CE services: , Research Funding; Astellas, Jasper, Adaptive, Baxalta: Research Funding. Sidana: Janssen: Consultancy, Research Funding; Magenta Therapeutics: Consultancy, Research Funding; Allogene: Research Funding; BMS: Consultancy.
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