Pilot Trial of the My Hematology Oncology Patient Experience (MyHOPE™) for Multiple Myeloma (MM) Digital Solution in Patients with MM

Background: There is growing evidence to suggest that continuous monitoring and a proper use of patient-reported outcomes (PROs) in the clinical setting may improve patient care by facilitating doctor-patient communication, promoting individualized supportive care, and increasing patient satisfaction (Velikova, J Clin Oncol. 2004;22(4):714-24; Yang, Support Care Cancer. 2018 Jan;26(1):41-60). This may be of particular importance for patients with MM, a condition characterized by considerable heterogeneity in PROs at different timepoints within a patient's disease journey (TA King et al, Semin Oncol Nurs. 2017;33(3):299-315;R Abonour et al, Ann Hematol. 2018;97(12):2425-36). There is also a growing body of evidence to support that digital platforms in healthcare can have an impact on patients' lives and improve the patient care experience across diverse medical settings. Web-based platforms that provide education and allow patients to track data have demonstrated improvement across a range of PROs measuring empowerment, self-efficacy, and mastery when compared against standard of care in a variety of disease states (MR Fu et al, Internet Interv. 2016;5:56-64; G Bouma et al, Support Care Cancer. 2017;25(7):2075-2083). This may be particularly relevant in light of the current coronavirus disease 2019 (COVID-19) global pandemic. Patient-reported outcome data (e.g., symptoms) that can be readily shared with healthcare professionals (HCPs) can support clinical decision making and impact patient outcomes (E Basch et al, JAMA. 2017 Jul 11;318(2):197-8). Data collected through wearables (such as emoji scales and activity) have been shown to be correlated with traditional, validated PRO measures in patients with cancer (CA Thompson et al, Blood. 2017;130(Suppl 1):2179). Digital medication tracking has led to better medication adherence, increased prescription refills, and better clinical outcomes. Centralized disease management digital platforms have shown potential to reduce patients' risk of complications (S Kumar et al, Abstract for the 77th American Diabetes Association. 2017). Despite this body of evidence supporting the potential impact of the use of digital platforms, there is little evidence specifically in MM. The MyHOPE™ for MM Solution is a validated investigational digital technology platform designed to provide patients with a comprehensive set of tools and resources to support the patient throughout their overall experience with MM and to collect biometrics and self-reported data such as symptom tracking, medication adherence, and health-related quality of life (HRQoL) with the ability to share this data with the patient's care team. MyHOPE™ for MM is the first prospective study evaluating the impact of a digital intervention for patients with hematological malignancies. Study Design and Methods: This is a multi-center, randomized, pilot trial of the MyHOPE™ for MM Solution. Approximately 126 adult patients (≥ 18 years of age) with a diagnosis of MM and who reside in the USA will be recruited from approximately 30 study sites within the USA, reflecting both community and academic centers. Patients will be stratified according to disease status (newly-diagnosed multiple myeloma transplant-eligible or ineligible, newly-diagnosed multiple myeloma in patients undergoing their first autologous stem cell transplant, or relapsed and/or refractory) and will be randomized in a 2:1 manner to either the Patient App + HCP Portal (Cohort 1) or Patient App Alone (Cohort 2). Primary objectives include feasibility of the platform and patient empowerment and self-efficacy. Other objectives include user satisfaction with the platform, health-related quality of life, and clinical outcomes. Enrolled patients will receive MM-treament regimen according to their physician's care plan. The study is in start-up and recruitment is expected through 2021. Disclosures Raje: Celgene: Consultancy. Nadeem:Amgen: Membership on an entity's Board of Directors or advisory committees; Adaptive: Membership on an entity's Board of Directors or advisory committees; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES; Janssen: Consultancy, Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES. Mikhael:Amgen, Celgene, GSK, Janssen, Karyopharm, Sanofi, Takeda: Honoraria. Ludwig:Bristol Myers Squibb: Consultancy. Agarwal:Bristol-Myers Squibb Company: Current Employment, Current equity holder in publicly-traded company. Inumerable:Bristol Myers Squibb: Current Employment. Ong:Bristol Myers Squibb: Current Employment. Jagannath:BMS, Janssen, Karyopharm, Legend Biotech, Sanofi, Takeda: Consultancy.

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Association of Race with Health-Related Quality of Life (HRQOL) Among Multiple Myeloma Patients

Blood ◽

10.1182/blood.v118.21.5070.5070 ◽

2011 ◽

Vol 118 (21) ◽

pp. 5070-5070 ◽

Cited By ~ 1

Author(s):

Chris L. Pashos ◽

Brian GM Durie ◽

Robert Rifkin ◽

Howard Terebelo ◽

Cristina Gasparetto ◽

...

Keyword(s):

Multiple Myeloma ◽

Board Of Directors ◽

Employment Equity ◽

Advisory Committees ◽

Patient Race ◽

The Us ◽

Related Quality ◽

Health Related ◽

Equity Ownership

Abstract Abstract 5070 Introduction. Studies in the United States (US) have identified variation in incidence and survival of multiple myeloma (MM) patients of different races, and noted that MM is the most common hematologic cancer among African Americans. This analysis was conducted to evaluate whether the health-related quality of life (HRQOL) of patients in the US as they initiate treatment with active, symptomatic MM varies by race. Methods. Data were collected in Connect MM®, a prospective observational registry begun in September 2009 involving centers in the US. Data on patient demographics and clinical characteristics were provided by clinicians. HRQOL was reported by patients in the clinic at enrollment, within two months of diagnosis. Patients completed 3 psychometrically validated instruments: the Brief Pain Inventory (BPI), EQ-5D, and Functional Assessment of Cancer Therapy-Multiple Myeloma (FACT-MM). Standard analyses were conducted of each instrument. Reported mean BPI, EQ-5D and FACT-MM scores were analyzed by patient race. Statistical significance of score differences was ascertained by ANOVA using SAS 9.1 in two ways: (1) among three different racial categories (White, Black and Other), and (2) between Blacks and non-Blacks. Hispanic/Latino patients and Asian patients comprise most of the Other cohort. Results. HRQOL data at baseline were reported by 916 pts, enrolled from 189 centers. Of these patients, 82% were White, 12% were Black, and 5% were of another race (Other). Among evaluable patients, the different race groups did not differ statistically by ECOG status or multiple myeloma stage (measured by either the International Staging System or the Durie and Salmon system). The three racial groups differed by age, with the mean (SD) age of Blacks (63 (11)) and Others (63 (13)) being less than that of Whites (68 (11), p<0.0001). Gender was trending, but not statistically significantly different, between races, with males comprising 58% of Whites, 52% of Blacks, and 46% of Others (p=0.1803). HRQOL scores by race are presented here: Overall FACT-MM results indicate that baseline HRQOL does not vary between races, as the main summary scores do not differ statistically, although the FACT-MM Total scores of Blacks and Whites are trending higher than those of Others. Only the emotional and social/family domain scores of the FACT-MM vary statistically, as Blacks show a worse mean score in the social/family domain and a better score in the emotional domain. BPI data (on a scale of 0 [no pain] to 10 [worst pain] do not show a statistically significant difference between races, and the same is true of the five EQ-5D domains (measured on a scale of 1 [no problem] to 2 [some problems] to 3 [incapacity]. Conclusions. Initial results from the Connect MM® Registry indicate that HRQOL at baseline prior to initiation of treatment does not vary by patient race. As such, these results may serve as a baseline reference for future analyses. In particular, as patients proceed through therapy, analyses should be conducted of patients by race, among other factors, to determine whether it may be associated with subsequent clinical outcomes and HRQOL over time. Disclosures: Pashos: Celgene: Membership on an entity's Board of Directors or advisory committees. Durie:Celgene: Membership on an entity's Board of Directors or advisory committees. Rifkin:Celgene: Membership on an entity's Board of Directors or advisory committees. Terebelo:Celgene: Membership on an entity's Board of Directors or advisory committees. Gasparetto:Celgene: Membership on an entity's Board of Directors or advisory committees. Mehta:Celgene: Membership on an entity's Board of Directors or advisory committees. Toomey:Celgene: Membership on an entity's Board of Directors or advisory committees. Abonour:Celgene: Membership on an entity's Board of Directors or advisory committees. Fonseca:Celgene: Membership on an entity's Board of Directors or advisory committees. Narang:Celgene: Membership on an entity's Board of Directors or advisory committees. Shah:Celgene: Membership on an entity's Board of Directors or advisory committees. Swern:Celgene Corporation: Employment, Equity Ownership. Sullivan:Celgene: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Khan:Celgene: Employment, Equity Ownership.

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Health Related Quality of Life Results from the Open-Label, Randomized, Phase III Endeavor Trial Evaluating Carfilzomib and Dexamethasone Versus Bortezomib and Dexamethasone in Patients with Relapsed or Refractory Multiple Myeloma

Blood ◽

10.1182/blood.v128.22.3309.3309 ◽

2016 ◽

Vol 128 (22) ◽

pp. 3309-3309 ◽

Cited By ~ 7

Author(s):

Heinz Ludwig ◽

Philippe Moreau ◽

Meletios A Dimopoulos ◽

Maria-Victoria Mateos ◽

Martin F Kaiser ◽

...

Keyword(s):

Quality Of Life ◽

Multiple Myeloma ◽

Board Of Directors ◽

Research Funding ◽

Sensitivity Analyses ◽

Life Questionnaire ◽

Advisory Committees ◽

Related Quality ◽

Health Related

Abstract Introduction: The randomized, phase 3 study ENDEAVOR (NCT01568866; N=929) demonstrated a clinically meaningful and statistically significant improvement in progression-free survival for patients with relapsed or refractory multiple myeloma who were treated with carfilzomib and dexamethasone (Kd) versus bortezomib and dexamethasone (Vd; median, 18.7 vs 9.4 months; hazard ratio: 0.53; 95% confidence interval [CI]: 0.44-0.65; P<0.0001) (Dimopoulos et al. Lancet Oncol. 2016;17:27−38). Patient-reported outcomes (PROs) were included as exploratory endpoints in the ENDEAVOR study. Here, we present results of a prespecified analysis of health-related quality of life (HR-QoL) in the ENDEAVOR trial. Methods: HR-QoL was assessed by 3 validated instruments: the European Organization of Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire-Core 30-item questionnaire (QLQ-C30), the EORTC Quality of Life Questionnaire-multiple myeloma specific 20-item module (QLQ-MY20), and the Functional Assessment of Cancer Therapy/Gynecologic Oncology Group-Neurotoxicity (FACT/GOG-Ntx) "Additional Concerns" neurotoxicity subscale. These instruments were assessed prior to treatment administration on day 1 of cycle 1, and then every 28 days until disease progression, withdrawal of consent, or commencement of other nonstudy anticancer treatment. Due to differing treatment cycle lengths, the PRO assessments coincided across groups every 12 weeks. The primary PRO hypothesis was superiority of Kd over Vd for the Global Health Status/Quality of Life (GHS/QoL) scale of the QLQ-C30. Seven further subscales were prespecified from the QLQ-C30 (fatigue, nausea/vomiting, pain, physical functioning, role functioning) and the QLQ-MY20 (disease symptoms, side effects of treatment). PRO subscales were compared between groups using a restricted maximum likelihood-based mixed model for repeated measures (MMRM). Two sensitivity analyses were performed for the GHS/QoL scale to evaluate the robustness of the MMRM to missing data. Clinical interpretation for the EORTC QLQ-C30 subscales was guided by pre-specifying minimum important differences (MIDs) based on evidence-based guidelines (5 points for the GHS/QoL scale). For the QLQ-MY20 subscales, the standard error of measurement was used as a proxy for the MID. The proportion of patients who had improved (≥5 points) from baseline on the GHS scale was summarized at each coinciding time point. Results: Baseline completion of the QLQ-C30 questionnaire was similar between groups (Kd, 87.7%; Vd, 84.3%). Compliance was high when calculated for all patients expected to provide a questionnaire at each time point (ie, alive and on-study), ranging from 73.1% to 93.9%. Median duration on study treatment was 40 weeks and 27 weeks for Kd and Vd patients, respectively. Using the MMRM model, Kd was associated with statistically significantly higher GHS/QoL scores compared with Vd (p<0.0001). However, the overall treatment difference point estimate of 3.5 (95% CI, 2.0-5.1) did not reach the pre-defined MID. When including the treatment by time interaction (p=0.28) to estimate the treatment difference at timepoints where HR-QoL assessments coincided with day 1 of a cycle, the point estimates increased over time, with the differences at week 60 and 72 reaching clinical significance (5.4 and 5.8, respectively) (Figure). Results from the two sensitivity analyses confirmed findings from the MMRM analysis. Statistically significant benefits were observed in favor of the Kd group for fatigue (P=0.04), pain (P=0.02), side effects (P<0.0001) and NTx subscales (p=0.0002), although these differences did not meet MID thresholds. The proportion of patients reaching a ≥5 point improvement in the GHS scale was numerically higher in the Kd group up to week 48, although the difference between the groups did not reach statistical significance. Conclusions: This analysis of PROs in the ENDEAVOR study demonstrated that Kd was statistically superior to Vd on the QLQ-C30 GHS/QoL scale, with clinically meaningful differences observed at later timepoints but not on average overall. For patients remaining on longer term treatment, the clinical benefits of Kd compared with Vd were associated with better GHS/QOL. Although not meeting MID thresholds, statistically significant benefits were also observed in favor of the Kd group for other aspects of HR-QoL. Disclosures Ludwig: Janssen: Speakers Bureau; BMS: Speakers Bureau; Takeda: Research Funding, Speakers Bureau; Amgen: Research Funding, Speakers Bureau. Moreau:Amgen: Honoraria; Celgene: Honoraria; Takeda: Honoraria; Janssen: Honoraria; BMS: Honoraria; Novartis: Honoraria. Dimopoulos:Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Genesis: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Mateos:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; Glicomimetics: Honoraria, Membership on an entity's Board of Directors or advisory committees. Kaiser:BMS: Consultancy, Other: Travel Support; Takeda: Consultancy, Other: Travel Support; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Chugai: Consultancy. Feng:Amgen: Employment, Equity Ownership. Cocks:Amgen: Consultancy; Celgene: Consultancy; BMS: Consultancy; Endomag: Consultancy. Buchanan:Amgen: Employment, Equity Ownership. Weisel:BMS: Consultancy, Honoraria; Novartis: Honoraria; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Onyx: Consultancy; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding.

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Health-Related Quality of Life in a Biologic Assignment Trial of Reduced Intensity Hematopoietic Cell Transplantation Based on Donor Availability in Patients Aged 50-75 with Advanced Myelodysplastic Syndrome

Blood ◽

10.1182/blood-2021-147514 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 421-421

Author(s):

Rachel Cusatis ◽

Michael Martens ◽

Ryotaro Nakamura ◽

Corey Cutler ◽

Wael Saber ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Health Related Quality ◽

Advisory Committees ◽

No Donor ◽

Free Survival ◽

Related Quality ◽

Health Related

Abstract Introduction The Blood and Marrow Transplant Clinical Trials Network study (BMT CTN 1102, NCT02016781) was a multicenter, biologic assignment trial in older adults aged 50-75 with higher risk de novo MDS (IPSS Intermediate-2 or High) who were candidates for reduced-intensity conditioning (RIC) allogeneic HCT. The trial compared outcomes of those with a suitable HLA-identical sibling or unrelated donor (Donor arm) to those where no donor was identified (No Donor arm) within a search window of 90 days. The trial reported a survival benefit for patients in the Donor arm compared to the No Donor arm [Nakamura et al, JCO 2021, in press]. Here, we compare the health-related quality of life (QOL) for patients between the two arms through 36 months after enrollment. We also describe the predictors and trajectories of QOL. Methods English and Spanish-speaking subjects were invited to complete patient-reported outcome (PRO) measures, including the Functional Assessment of Cancer Therapy - General (FACT-G), the SF-36 yielding a Physical Component Score (PCS) and Mental Component Score (MCS), and the EQ-5D, at enrollment and every 6 months until 24 months, then 36 months after enrollment. Validation studies indicate a clinically meaningful difference of 5 points for FACT-G, PCS, and MCS and 2 points for associated subscales. To account for the missingness of assessments, including those missing due to death, we compared each score between arms using an inverse probability weighted - independent estimating equation (IPW-IEE) model, which models the scores in surviving patients while using IPW to account for baseline variables and follow-up outcomes that impact the likelihood of missingness. Since 4 scores were evaluated, a Bonferroni corrected significance level of 1.25% = 5% / 4 was used. Cox regression models were used to evaluate the impact of QOL measures on overall and leukemia free survival. The IPW-IEE models adjust for baseline score and follow-up assessment time as well as age, race/ethnicity, performance status, IPSS score, duration of disease, and response to prior hypomethylating therapy; the Cox models adjusted for the 6 latter variables and treatment arm. Trajectories of QOL are shown by plotting mean +/- standard error by group over time. Results Between January 2014 and November 2018, 384 subjects (median age 66.7 years, range: 50.1-75.3) were enrolled at 34 centers and biologically assigned to Donor (n=261) or No Donor arm (n=123) by 90 days from enrollment. For the Donor arm the median duration from registration to HCT was 3.9 months (range 0.3-20.7). Completion rates were generally high at 65-78% of eligible survivors at each timepoint. At enrollment, 204 subjects (78.2%) in the Donor arm and 85 subjects (69.1%) in the No Donor arm completed at least one QOL form, with 4 patients unable to complete due to language (non-English or Spanish speaking). While there were some small differences at 18 months favoring the Donor arm, no clinically significant differences in PRO scores or subscales were seen between the arms at any timepoint (Figure 1) or in the scores over time. In general, similar trajectories for the Donor arm were seen for each PRO, with most decreasing or stable from baseline to 6 months and improving thereafter. Compared to published averages of U.S cancer populations, FACT-G means in both arms were higher beginning at 18 months. Baseline and 6-month PRO scores were the strongest predictors of later PRO scores despite adjusting for patient demographic and clinical factors. Overall survival was predicted by baseline FACT-G <70 (HR=1.61, p<.01) and PCS scores <40 (HR=1.82, p<0.001), while leukemia-free survival was predicted by baseline FACT-G <70 (HR=1.61, p<0.01) and PCS <40 (HR=1.80, p<0.002). No associations of PROs with AML transformation, relapse, or acute or chronic GVHD were found. Non-compliance with biologic assignment was less likely in Donor arm compared to No Donor, but baseline QOL was not a confounding factor. Conclusion In older adults with MDS, the survival advantage associated with Donor availability and HCT does not come at the cost of worse QOL in comparison to the No Donor arm. Baseline PRO scores were the strongest independent predictors of subsequent QOL outcomes and survival, even after controlling for clinical and patient-level factors. These results should reassure older patients and clinicians who prefer curative approaches to MDS. Figure 1 Figure 1. Disclosures Cutler: Mallinckrodt: Consultancy; Editas: Consultancy; CareDx: Consultancy; Kadmon: Consultancy; Pfizer: Consultancy; Incyte: Consultancy; Cimeio: Consultancy; Deciphera: Consultancy; Omeros: Consultancy; Syndax: Consultancy; Mesoblast: Consultancy; Jazz: Consultancy. Saber: Govt. COI: Other. Lee: Takeda: Research Funding; Syndax: Research Funding; Pfizer: Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Kadmon: Research Funding; National Marrow Donor Program: Membership on an entity's Board of Directors or advisory committees; Janssen: Other; Incyte: Research Funding; AstraZeneca: Research Funding; Amgen: Research Funding. Shaw: mallinkrodt: Other: payments; Orca bio: Consultancy. Horowitz: Magenta: Consultancy, Research Funding; Astellas: Research Funding; Jazz Pharmaceuticals: Research Funding; GlaxoSmithKline: Research Funding; Genentech: Research Funding; CSL Behring: Research Funding; Gamida Cell: Research Funding; Allovir: Consultancy; Daiicho Sankyo: Research Funding; Amgen: Research Funding; bluebird bio: Research Funding; Chimerix: Research Funding; Actinium: Research Funding; Medac: Research Funding; Kiadis: Research Funding; Xenikos: Research Funding; Vor Biopharma: Research Funding; Bristol-Myers Squibb: Research Funding; Regeneron: Research Funding; Pharmacyclics: Research Funding; Pfizer, Inc: Research Funding; Orca Biosystems: Research Funding; Omeros: Research Funding; Novartis: Research Funding; Miltenyi Biotech: Research Funding; Mesoblast: Research Funding; Kite/Gilead: Research Funding; Janssen: Research Funding; Sanofi: Research Funding; Seattle Genetics: Research Funding; Shire: Research Funding; Sobi: Research Funding; Stemcyte: Research Funding; Takeda: Research Funding; Tscan: Research Funding; Vertex: Research Funding.

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The Relationship between Minimal Residual Disease and Patient Reported Outcomes in Relapsed/Refractory Multiple Myeloma

Blood ◽

10.1182/blood-2018-99-113571 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 3273-3273

Author(s):

Hervé Avet-Loiseau ◽

Jianming He ◽

Katharine S. Gries ◽

Huiling Pei ◽

Sourish Saha ◽

...

Keyword(s):

Quality Of Life ◽

Board Of Directors ◽

Health Related Quality ◽

Advisory Committees ◽

Related Quality ◽

Eortc Qlq C30 ◽

Health Related ◽

Index Value ◽

Eortc Qlq

Abstract Objective With the introduction of novel treatments for multiple myeloma, patients are now achieving deeper and sustainable clinical responses. Recent studies have demonstrated that achieving Minimal Residual Disease (MRD) negativity leads to better progression-free survival and overall survival outcomes (Lahuerta JJ, et al. J Clin Oncol 2017. 35[25]:2900-10; Munshi NC, et al. JAMA Oncol 2016. 3[1]:28-35; Landgren O, et al. Bone Marrow Transplant 2016. 51[12]:1565-1568). However, the relationship between MRD status and patient reported outcomes (PRO) has not been reported. The objective of this analysis is to evaluate whether PRO endpoints change by MRD status using data from two randomized clinical trials of daratumumab containing treatment regimens, POLLUX (Dimopoulos MA, et al. N Engl J Med 2016. 375[14]:1319-1331) and CASTOR (Palumbo A, et al. N Engl J Med 2016. 375[8]:754-766), for patients with relapsed or refractory multiple myeloma. Methods MRD status was assessed in POLLUX at the time of suspected CR, and at 3 and 6 months post-suspected CR for responders. Similarly, in CASTOR, MRD status was assessed for patients at the time of suspected CR and at 6 months and 12 months after first dose. MRD was assessed via next generation sequencing using the clonoSEQ® assay V2.0 (Adaptive Biotechnologies, Seattle, WA) at sensitivities of 0.001%. The PRO instruments (EORTC-QLQ-C30 and EQ-5D-5L) were collected in both POLLUX and CASTOR study prior to treatment, during the treatment phase, and post-progression. EQ-5D-5L assessed general health status and included an index value and visual analog scale (VAS) score. EORTC QLQ C30 assessed health related quality of life and included five functional scales (physical, role, emotional, social and cognitive), three symptom scales (fatigue, nausea & vomiting and pain) and a global health status (GHS) scale as well as six single items (dyspnea, insomnia, appetite loss, constipation, diarrhea, and financial difficulties). Summary statistics (mean, standard deviation, median, min and max) by MRD status (baseline, prior to MRD negativity, MRD negativity prior to progression) were reported and for subjects who did not achieve MRD negativity (baseline, post baseline prior to progression) on a pooled sample of subjects from the two clinical trials. To interpret a meaningful change, a 5-point threshold was defined based on the EORTC guidelines for assessing quality of life in clinical trials. Results Overall 137 subjects in both CASTOR and POLLUX achieved MRD negativity and had PRO data available for analysis. At baseline, GHS, EQ-5D-5L VAS and index value were 62.1, 66.7, and 0.72 respectively (GHS and VAS scores closer to 100, and index value closer to 1.0 represent better health state). Mean values increased to 67.2, 70.9, and 0.75 after achieving MRD negativity. Pain scale (symptom scores closer to 0 represent less symptoms) reduced from 30.4 to 23.5 and fatigue was similar (33.8 at baseline to 31.2) when patients achieved MRD negativity. However, when we compared the five functional scales prior to and post MRD negativity, no evident differences were identified. The mean change from baseline to post-MRD-negativity in the EORTC QLQ-C30 GHS and Pain scores exceeded a 5-point threshold, reflecting a meaningful change in subject's health-related quality of life. A total of 893 subjects in the pooled data set did not achieve MRD negativity and had PRO data available for analysis (EQ-5D-5L data were not available for 3 subjects). Baseline values for these MRD positive subjects were 60.0, 65.3, and 0.71 and the mean post-baseline (pre-progression) values remained similar at 61.1, 66.0, and 0.71 for GHS, VAS, and the index value, respectively. Pain reduced from mean 33.3 to 29.4 and fatigue was similar, changing from 36.2 to 37.6. Conclusion To our knowledge, this is the first analysis exploring the relationship between MRD status and PRO endpoints. Results from this analysis demonstrate that patients who achieve MRD negativity status show a trend in better health-related quality of life, with meaningful improvement in EORTC QLQ-C30 GHS and pain scores. These preliminary findings indicate that overall health-related quality of life and symptom domains of EORTC-QLQ-C30 and EQ-5D-5L might be sensitive to changes in MRD status, with changes in GHS and Pain exceeding meaningful threshold for subjects. Disclosures Avet-Loiseau: Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees. He:Janssen global services: Employment. Gries:Janssen Research & Development, LLC: Employment. Pei:Janssen Research & Development, LLC: Employment. Saha:Janssen Research & Development, LLC: Employment. Chiu:Janssen Research & Development, LLC: Employment. Cote:Janssen Research & Development, LLC: Employment. Lam:Janssen Global Services, LLC: Employment.

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Longitudinal Changes of Impairments in Health-Related Quality of Life in Lower-Risk MDS Patients: A European Leukemianet Study

Blood ◽

10.1182/blood-2018-99-112508 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 3097-3097

Author(s):

Reinhard Stauder ◽

Ge Yu ◽

Karin A Koinig ◽

Dominic Culligan ◽

Pierre Fenaux ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Self Care ◽

Initial Diagnosis ◽

Health Related Quality ◽

Advisory Committees ◽

Related Quality ◽

Health Related ◽

Anxiety Depression

Abstract Introduction Patient perception and perspective have become relevant in individualised therapy planning in MDS. Thus, integration of patient-reported outcomes (PRO), including health-related quality of life (HRQoL), in studies and in clinical practice is essential. We demonstrated recently pronounced impairments in HRQoL in patients with MDS (Stauder et al., Leukemia 2018). However, longitudinal data on aspects of HRQoL in MDS are rare. Objectives 1. To describe longitudinal changes of HRQoL in MDS and 2. To compare the time course in different patient subgroups to define patients at high risk of deterioration of HRQoL. Methods The EUMDS Registry is a prospective, non-interventional longitudinal study, enrolling newly diagnosed patients with IPSS low or intermediate-1 MDS from 143 haematology centres in 17 European countries and Israel. HRQOL was assessed by EQ-5D questionnaire. Patients were selected, if they fully completed the EQ-5D score (five dimensions and VAS) at baseline and at 6 and 12 months, resulting in a total of 743 subjects at 86 centres in 15 countries. Differences in response for the five EQ-5D dimensions between patients subgroups were evaluated using chi-squareMcNemar tests. For EQ-VAS, the mean score with standard deviation was calculated. Wilcoxon's signed ranks tests were conducted to identify changes over time between HRQOL values at baseline and at 6, 12 months. Results Moderate/severe impairments at initial diagnosis were observed in the dimensions mobility (39.4%), self-care (10.2%), usual activities (32.6%), pain discomfort (46.6%) and anxiety/depression (36.7%). As compared with baseline a pronounced increase in moderate/severe problems was observed at 12 months in the dimensions self-care (10.2% (baseline) vs 15.5% (12 mo); p=0.003) and in usual activities (32.6% vs 40.6%; p=0.001). In contrast, self-reported mobility, pain and anxiety/depression did not change significantly. Decrease in VAS over time revealed a trend toward significance (75 vs. 70; p=0.056). More pronounced impairment of HRQOL was most significantly observed in patients of advanced age: 60-75 yrs in self-care 8.3% vs 14.3% (p=0.016) and in usual activities 28% vs 35.7% (p=0.032); in persons 75+ years in self-care 14.2% vs 19.8% (p=0.058) and in usual activities 48.7% vs 50.3% (p=0.003). Similarly, VAS significantly decreased in the latter group from 70 to 66 (p=0.038). Increases in impairments were most prominent in male patients in self-care (9.7 vs 16.7%; p=0.002) and in usual activities (29.4 vs 38.7%; p=0.003), whereas in women HRQoL at the different time points was not significantly different. Pronounced decreases in HRQoL aspects was observed in anemic patients (Hb-levels <10g/dl) at initial diagnosis: mobility 47.4 vs 55.2% (p=0.06), self-care 13.5 vs 21.1% (p=0.015), usual activities 41.3 vs 52.7% (p=0.006), pain/discomfort 43.3 vs 55.6% (p=0.058) and VAS (70 vs 68; p=0.051). A reduction in HRQoL was observed even in patients with a Hb-level ≥10 g/dl in the dimension self-care (7.9 vs 12.1%; p=0.042). Pronounced decreases in problems in HRQoL were observed in anemic patients (Hb<10 g/dL) who received transfusions in self-care (18.1% vs 25.6%; p=0.029), in usual activities (43.6% vs 61.5%; p=0.038), and in VAS (67.3 vs 61.9; p=0.003). Transfusion dependent patients were at high risk to develop impairments in VAS (70 vs 64; p=0.006) and in most dimensions of EQ-5D (mobility 50.2 vs 62%, p=0.017), self-care (8.8 vs 11.5%, p=0.017), usual activities (41.6 vs 62.9%, p=0.01) and pain/discomfort (48.3 vs 58.5%, p=0.038). Conclusions Low-risk MDS patients report relevant restrictions in distinct dimensions at initial diagnosis. A relevant drop in HRQoL is observed at 12 months particularly in self-care and in usual activities. Patients of advanced age, males and those with initial low Hb-levels most frequently reported declines in HRQoL. Transfusion-need represents a relevant predictor of deterioration of HRQoL. These analyses form the basis to identify vulnerable patients and to tailor individualized interventions and treatment approaches. Analyses are planned to unravel the role of intervention therapies on observed changes in HRQoL. Disclosures Stauder: Teva: Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Fenaux:Celgene: Honoraria, Research Funding; Jazz: Honoraria, Research Funding; Roche: Honoraria; Otsuka: Honoraria, Research Funding; Janssen: Honoraria, Research Funding. Garelius:novartis: Honoraria. Efficace:Incyte: Consultancy; Amgen: Consultancy; TEVA: Consultancy; Bristol Meyers Squibb: Consultancy; Orsenix: Consultancy; Seattle Genetics: Consultancy; Lundbeck: Research Funding; TEVA: Research Funding; AMGEN: Research Funding. de Witte:Amgen: Consultancy, Research Funding; Celgene: Honoraria, Research Funding; Novartis: Research Funding.

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Variation in Health-Related Quality of Life (HRQOL) Among Multiple Myeloma Patients by Insurance Coverage

Blood ◽

10.1182/blood.v118.21.3150.3150 ◽

2011 ◽

Vol 118 (21) ◽

pp. 3150-3150 ◽

Cited By ~ 1

Author(s):

Chris L. Pashos ◽

Brian GM Durie ◽

Robert Rifkin ◽

Howard Terebelo ◽

Cristina Gasparetto ◽

...

Keyword(s):

Multiple Myeloma ◽

Board Of Directors ◽

Insurance Coverage ◽

Insurance Status ◽

Employment Equity ◽

Advisory Committees ◽

The Us ◽

Related Quality ◽

Health Related ◽

Equity Ownership

Abstract Abstract 3150 Introduction. Affordability of health care in the United States (US), and the impact of patient insurance coverage on it have been shown to be associated with the delivery and timeliness of access to care. With increasing costs of novel therapies in hematology and oncology, this concern has been raised in hematologic cancers. This analysis evaluates whether the health-related quality of life (HRQOL) of patients with active, symptomatic multiple myeloma (MM) patients in the US varies by their insurance coverage as they initiate treatment. Methods. Baseline data were collected in Connect MM®, a prospective observational registry initiated in September 2009 involving centers in the US. Data on patient demographics and clinical characteristics were provided by clinicians. HRQOL was reported by patients in the clinic at enrollment, within two months of diagnosis. Patients completed 3 psychometrically validated instruments: the Brief Pain Inventory (BPI), EQ-5D, and Functional Assessment of Cancer Therapy-Multiple Myeloma (FACT-MM). Standard analyses were conducted of each instrument given clinical characteristics at that time. Patients were characterized as to the main source of their insurance coverage: Medicare, Medicaid or Commercial. The Medicare cohort included those with supplemental commercial coverage, and the Medicaid cohort included those with dual Medicare-Medicaid coverage. Reported mean BPI, EQ-5D and FACT-MM scores were analyzed by patient insurance coverage. Statistical significance of score differences among sub-cohorts was ascertained by ANOVA using SAS 9.1. Results. HRQOL data and insurance status were reported by 863 patients, enrolled from 189 centers. Patients were predominantly male (57%) and white (82%) with mean age at 67.0 (standard deviation [SD] 11.3) yrs. HRQOL scores by insurance status are presented: Overall FACT-MM results indicate that Medicaid insurance status is associated with greater decrement in baseline HRQOL compared to the other groups. Statistically significant differences are noted in the FACT-G general cancer HRQOL score, and its physical, social/family and emotional component scores. BPI data (on a scale of 0 [no pain] to 10 [worst pain] indicate that average pain may be worse among Medicaid patients compared to either Medicare or commercially insured patients. There are no statistically significant differences on EQ-5D scores (on a scale of 1 [no problem] to 2 [some problems] to 3 [incapacity] between cohorts based on insurance status. Conclusions. Initial results from the Connect MM® Registry indicate that HRQOL at baseline prior to initiation of treatment is worse among Medicaid patients compared to those with either Medicare or commercial coverage. This should be investigated to determine whether Medicaid patients are accessing care later in disease progression than others covered by Medicare or commercial insurance. Furthermore, future analyses should be conducted of patients by insurance coverage to determine whether status may be associated with access to medical care, subsequent clinical outcomes, and HRQOL over time. Results reported here should serve as a baseline reference. Disclosures: Pashos: Celgene: Membership on an entity's Board of Directors or advisory committees. Durie:Celgene: Membership on an entity's Board of Directors or advisory committees. Rifkin:Celgene: Membership on an entity's Board of Directors or advisory committees. Terebelo:Celgene: Membership on an entity's Board of Directors or advisory committees. Gasparetto:Celgene: Membership on an entity's Board of Directors or advisory committees. Mehta:Celgene: Membership on an entity's Board of Directors or advisory committees. Toomey:Celgene: Membership on an entity's Board of Directors or advisory committees. Abonour:Celgene: Membership on an entity's Board of Directors or advisory committees. Fonseca:Celgene: Membership on an entity's Board of Directors or advisory committees. Narang:Celgene: Membership on an entity's Board of Directors or advisory committees. Shah:Celgene: Membership on an entity's Board of Directors or advisory committees. Swern:Celgene Corporation: Employment, Equity Ownership. Sullivan:Celgene: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Khan:Celgene: Employment, Equity Ownership.

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Symptoms, Health-Related Quality of Life, and Tolerability of Loncastuximab Tesirine in Patients with Relapsed or Refractory Diffuse Large B Cell Lymphoma

Blood ◽

10.1182/blood-2020-139571 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 3-4

Author(s):

Alexander I. Spira ◽

Lei Chen ◽

Xiaolei Zhou ◽

Ari Gnanasakthy ◽

Luqiang Wang ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

B Cell Lymphoma ◽

Patient Reported Outcome ◽

Publicly Traded ◽

Advisory Committees ◽

Patient Reported ◽

Related Quality ◽

Health Related ◽

Night Sweats

Introduction In the ongoing single-arm, open-label phase 2 ADCT-402-201 study (LOTIS 2, NCT03589469), loncastuximab tesirine has shown substantial antitumor activity with a manageable toxicity profile in patients with relapsed/refractory diffuse large B-cell lymphoma (DLBCL) who had failed ≥ 2 prior therapies, including activity in patients with high-risk disease characteristics. The overall response rate was 48.3% (based on positron emission tomography-computed tomography [PET-CT] assessed by independent review according to Lugano response criteria), and the median duration of response was 10.25 months. This analysis examined symptoms, health-related quality of life (HRQoL), and tolerability using validated patient-reported outcome instruments. Methods Enrolled patients aged ≥18 years received loncastuximab tesirine as an intravenous infusion on day 1 of each 3-week treatment cycle. Responders were defined as patients with a best overall response of complete or partial response. Patient-reported symptoms and HRQoL were measured using the Functional Assessment of Cancer Treatment-Lymphoma (FACT-Lym) and EQ-5D 5 Levels (EQ-5D-5L) instruments at baseline, day 1 of each cycle while patients were treated, and at the end-of-treatment visit. Descriptive statistics for change from baseline scores and percentages of patients with improved, stable, or worsened symptoms were summarized by visit and clinical response. Analysis was conducted using data collected from study initiation (1 August 2018) through 6 April 2020. Results The 145 patients enrolled in this study had a median age of 66 years (range, 23-94). Patients were heavily pretreated, with a median of 3 (range, 2-7) prior systemic therapies. A baseline patient-reported outcome score and at least one post-baseline score were available for 130 patients. Completion rates among patients treated at each visit were ≥ 92% for EQ-5D-5L and ≥ 88% for FACT-Lym up to cycle 9, day 1 (24 weeks). After cycle 9, fewer than 20 patients had patient-reported outcome scores available for analysis. For symptoms assessed in the FACT-Lym lymphoma subscale, pain in certain parts of the body, lumps/swelling, trouble sleeping at night, and fatigue were the most frequently reported symptoms at baseline (34%-59% reported "somewhat" to "very much"). Most patients (≥ 80%) reported "not at all" or "a little bit" at baseline for fever, night sweats, losing weight, itching, and loss of appetite. During the course of treatment, higher percentages of patients reported improvement than worsening for pain and lumps/swelling for the majority of visits. Fever, night sweats, and losing weight did not change for most patients. Itching was the only symptom for which more patients experienced worsening than improvement. For other symptoms, similar percentages of patients reported improvement and worsening. The mean change from baseline in EQ-5D Visual Analog Scale (VAS) score showed a trend of improvement in overall health over time (see figure). The mean VAS change reached the minimally important difference of 7 points at cycle 8, day 1. This improvement was associated with clinical response. When patients were asked how much they were bothered by side effects of treatment, most patients (> 60%) reported "not at all" or "a little bit" for all visits throughout the treatment. Conclusions Results of this analysis suggest that patients who responded to treatment with loncastuximab tesirine generally had stable or improved symptoms and overall HRQoL. The treatment was well tolerated by patients. These findings further support the clinical use of loncastuximab tesirine for the treatment of relapsed or refractory DLBCL. Disclosures Spira: ADCT:Research Funding;Janssen:Consultancy;Incyte:Consultancy;BMS:Consultancy;Merck:Consultancy;Novartis:Consultancy;Takeda:Consultancy;Cardiff Oncology:Research Funding.Chen:ADCT:Current Employment, Current equity holder in publicly-traded company.Zhou:ADCT:Research Funding.Gnanasakthy:ADCT:Research Funding.Wang:ADC Therapeutics America, inc:Current Employment, Current equity holder in publicly-traded company.Ungar:ADC Therapeutics:Current Employment, Current equity holder in publicly-traded company.Curiel:ADCT:Current Employment, Current equity holder in publicly-traded company.Radford:GlaxoSmithKline:Current equity holder in publicly-traded company, Other: Spouse;AstraZeneca:Current equity holder in publicly-traded company, Other: Spouse;Takeda:Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau;Pfizer:Research Funding;ADCT:Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding;BMS:Consultancy, Honoraria, Speakers Bureau;Novartis:Consultancy, Honoraria;Seattle Genetics:Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.Kahl:AstraZeneca Pharmaceuticals LP:Consultancy, Membership on an entity's Board of Directors or advisory committees;Celgene Corporation:Consultancy;Genentech:Consultancy;Pharmacyclics LLC:Consultancy;Roche Laboratories Inc:Consultancy;BeiGene:Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding;Janssen:Consultancy, Membership on an entity's Board of Directors or advisory committees;Acerta:Consultancy, Research Funding;ADC Therapeutics:Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding;AbbVie:Consultancy.

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Health-Related Quality-of-Life Outcomes in Patients with Classical Hodgkin Lymphoma: A Prospective, Observational Study in US Oncology Practices

Blood ◽

10.1182/blood-2019-123980 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 2192-2192

Author(s):

Jakub Svoboda ◽

Philippe Armand ◽

Fiona Taylor ◽

Xiaowu Sun ◽

Alejandro Moreno-Koehler ◽

...

Keyword(s):

Observational Study ◽

Board Of Directors ◽

Research Funding ◽

Advisory Committees ◽

Meaningful Improvement ◽

Patient Reported ◽

Related Quality ◽

Health Related ◽

Treatment Naïve ◽

Multi Agent

Introduction: Classical Hodgkin lymphoma (cHL) is highly curable with front-line multi-agent chemotherapy with or without radiotherapy. The treatment landscape is rapidly evolving, with a continued focus on optimizing available therapies in order to improve outcomes and minimize toxicity. Randomized controlled trials provide valuable insights into new treatments and outcomes; however, real-world data describing treatment effectiveness, safety, and health-related quality of life (HRQoL) are limited. This analysis was conducted to understand patient-reported outcomes (PROs) in patients who were treated for newly diagnosed cHL across a range of academic and community settings. Methods: Study CA209655 is an ongoing, prospective, observational study (NCT02856646) at ~80 US oncology practices with a target enrollment of 500 patients and a planned follow-up of ≤ 5 years. Eligible patients are ≥ 18 years old with histologically confirmed cHL and are treatment naive or within ± 2 weeks of beginning any line of therapy at time of enrollment. HRQoL is a secondary endpoint and evaluated using the Functional Assessment of Cancer Therapy-Lymphoma (FACT-Lym) questionnaire. The FACT-Lym combines a generic cancer-related core consisting of the FACT-General (FACT-G; 27 items) that assesses physical (PWB; 7 items), social/family (SWB; 7 items), emotional (EWB; 6 items), and functional well-being (FWB; 7 items), and a 15-item disease-specific lymphoma subscale (LymS) that assesses lymphoma-specific symptoms. PROs were assessed using questionnaires at baseline (BL), every 3-6 months for ≤ 2 years, and annually thereafter. All patients with BL and ≥ 1 post-BL assessment were included in the PRO analysis. Completion rates and changes from BL scores were evaluated descriptively and analyzed based on published estimates for clinically important differences and individual responder definitions (Hlubocky et al. Lymphoma 2013; Carter et al. Blood 2008; Yost and Eton. Eval Health Prof 2005). High scores indicate better health/functioning for all scales/subscales. Results: Of 278 enrolled patients at data cutoff (Feb 2019), 226 (81%) were treatment naive; for those, the most common index therapy was chemotherapy (n = 210; 93%). The most common index chemotherapies were ABVD (doxorubicin, bleomycin, vinblastine, dacarbazine; n = 187, 83%) and AAVD (adriamycin, brentuximab, vinblastine, dacarbazine; n = 10, 5%). Only patients receiving index chemotherapy were included in the full analysis set. In all, 89% (87/210) of patients had BL and ≥ 1 post-BL assessment and were included in the PRO analysis. PRO completion rate at BL was 97% (204/210) and remained > 70% up to 24 months for the expected population. Analysis of PROs was not feasible after 24 months owing to small patient numbers (≤ 10); therefore, PRO analyses were focused on the first 18 months. At BL, mean (SD) scores were: FACT-Lym total, 122 (24); FACT-G, 82 (15); PWB, 21 (6); SWB, 25 (3); EWB, 18 (4); FWB, 18 (6); and LymS, 40 (11). At 3 months there was a deterioration in mean scores from baseline in FACT-G (−3.8) and PWB (−3.0) (Figure A). Clinically meaningful improvement of mean scores was observed starting at 6 months in LymS (+4.4) and at 9 months in FACT-G (+7.1), PWB (+3.1), FWB (+2.8), and FACT-Lym total (+15.6). There were no clinically meaningful improvements in SWB and EWB. Based on individual responder definitions, ≥ 50% of patients had improvements in PWB (Figure B) and FACT-G from 12 months, and FACT-Lym total from 9 months. Conclusions: Initial data from this observational study suggest most patients receive multi-agent cytotoxic chemotherapy as first-line treatment of cHL. Patient-reported PWB initially declined with chemotherapy, but improved with time, and patients had a clinically meaningful improvement in HRQoL by 9 months. The timing of this improvement may be due to discontinuation of chemotherapy due to disease control. Future analyses will evaluate the relationship between improvements in HRQoL and other factors including response, use of immunotherapies versus chemotherapy, and the timing of treatment discontinuation. Study support: Bristol-Myers Squibb. Disclosures Svoboda: Seattle Genetics: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Merck: Research Funding; Incyte: Research Funding; Pharmacyclics: Consultancy, Research Funding; AstraZeneca: Consultancy; Celgene: Research Funding; Kyowa: Consultancy; Kite: Consultancy. Armand:Roche: Research Funding; Merck: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Affimed: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Otsuka: Research Funding; Sigma Tau: Research Funding; Infinity: Consultancy; Genentech: Research Funding; Pfizer: Consultancy; ADC Therapeutics: Consultancy; Tensha: Research Funding. Taylor:Adelphi Values: Employment, Other: I am an employee of Adelphi Values, a consulting firm who has received payment from Bristol-Myers Squibb for statistical data analysis in Bristol-Myers Squibb's trials. Sun:Adelphi Values: Employment. Gajavelli:Bristol-Myers Squibb: Employment. Peterson:Bristol-Myers Squibb: Employment, Equity Ownership. Chen:Bristol-Myers Squibb: Employment.

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