ALBERT

Description: Advances in novel agents and treatment combinations have improved prognosis and increased disease-free and overall survival for patients (pts) with multiple myeloma (MM). However, currently available data on disease presentation, treatment patterns, and outcomes for real-world MM pts at the global level are limited. This is due to several factors, including the overrepresentation of medically fit pts in clinical trials making generalization of outcomes challenging, the large number of treatment combinations, and varying global access/practice patterns. INSIGHT-MM (NCT02761187) is a global, prospective, non-interventional, observational study which aims to further understand disease and pt characteristics at presentation, treatment and clinical outcomes of real-world MM pts, as well as the association of treatment with tolerability, effectiveness, health-related quality of life (HRQoL), and healthcare resource utilization (HRU), on both a country-specific and global basis. As this is an observational study, no formal hypothesis will be tested. The INSIGHT-MM objectives are summarized in the Table. At least 5000 pts aged ≥18 yrs with newly diagnosed or relapsed/refractory MM will be enrolled over a 3-yr period and followed prospectively for ≥5 yrs, until death or end of study, whichever comes first. Pts not available for data collection for 〉9 mos will have follow-up for survival. No study drug or medications will be provided; no modification of standard of care pt management will be assigned per protocol. Choice of therapy for all pts will be decided by the treating healthcare provider independent of study participation. Baseline pt and MM-specific characteristics, diagnosis, comorbidities, and prior therapies will be recorded based on review of hospital/clinic records. MM management, disease status and safety data will be obtained as part of routine office visits and recorded quarterly by each site in electronic case report forms. Quarterly assessment of MM management will be done based on prior and current treatment and recorded reason for treatment changes. Effectiveness of therapy will be assessed based on response, progression status, time to next therapy, vital status, and date and cause of death. Treatment tolerability will be assessed based on serious and non-serious adverse events leading to treatment discontinuation or dose modification. Incidence of second primary malignancies will be recorded. HRQoL, a specific type of patient reported outcome (PRO), will be collected at study entry and at predefined intervals following initiation of therapy using a secure electronic data collection system. HRQoL will be collected using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and the MM module (EORTC QLQ-MY20). To capture pt satisfaction with MM-directed therapy, including the dimension of convenience, the 9-item Treatment Satisfaction Questionnaire for Medication will be used. The 5-dimension, 5-level EuroQol (EQ-5D-5L) PRO instrument will capture self-reported preference-based measures of health status suitable for calculating quality-adjusted life year (QALY) data to inform health economic evaluations. Frailty will be assessed using the Charlson Comorbidity Index, the Katz Index of Independence in Activities of Daily Living, and the Lawton Instrumental Activities of Daily Living. HRU will be evaluated using inpatient and intensive care unit admissions, length of stay, outpatient clinic visits, and emergency room visits. Data for all participating pts will be extracted by healthcare professionals at the site level and entered into a central database; descriptive statistical analyses will be done to address the study objectives. Interim analyses are planned after 1000 and 5000 pts have been enrolled and a final analysis will be conducted within 1 year after the last pt entered has completed ≥5 yrs follow-up. Data will be analyzed biannually to address emerging clinical questions identified by investigators to increase understanding of real-world treatment patterns. INSIGHT-MM aims to promote better understanding of contemporary demographics, patterns of care, and outcomes for real-world MM pts to inform treatment practice, supportive care, and pt outcomes. The study is currently ongoing and recruiting pts; further details regarding study rationale and protocol will be provided. Table 1 Table 1. Disclosures Davies: Takeda: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Palumbo:Janssen Cilag: Honoraria; Takeda: Employment, Honoraria. Zonder:Bristol Myers Squibb: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Prothena: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Pharmacyclics: Other: DSMC membership. Girnius:Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Speakers Bureau. Costello:Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Usmani:Array: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Consultancy, Research Funding, Speakers Bureau; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Millenium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Onyx: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; BioPharma: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Pharmacyclics: Research Funding; Britsol-Myers Squibb: Consultancy, Research Funding; Skyline: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Speakers Bureau. Berdeja:Abbvie, Acetylon, Amgen, Bluebird, BMS, Calithera, Celgene, Constellation, Curis, Epizyme, Janssen, Karyopharm, Kesios, Novartis, Onyx, Takeda, Tragara: Research Funding. Omel:Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Member of Takeda's "Patient Leadership Council". Token payment. Thompson:Celgene: Membership on an entity's Board of Directors or advisory committees, Other: MDS/AML Registry; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees; AIM Specialty Health: Membership on an entity's Board of Directors or advisory committees; VIA Oncology: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Other: Multiple Myeloma International Registry; Doximity: Equity Ownership, Membership on an entity's Board of Directors or advisory committees. Shah:Array: Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Honoraria, Research Funding; Bristol-Myers Squibb: Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Schwartz:Bayer: Consultancy; Blue Cross and Blue Shield Associations: Consultancy; Pfizer: Consultancy; Takeda: Consultancy. Hajek:Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees. Terpos:Amgen: Consultancy, Honoraria, Research Funding; Celgene: Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Genesis: Consultancy, Honoraria, Research Funding; Novartis: Honoraria. Hungria:Takeda: Consultancy; Roche: Consultancy; International Myeloma Foundation Latin America: Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Speakers Bureau; Bristol: Consultancy; Amgen: Consultancy. Mateos:Takeda: Honoraria; Amgen: Honoraria; Janssen: Honoraria; Celgene: Honoraria. Cook:Bristol-Myers Squibb: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria, Research Funding, Speakers Bureau; Glycomimetics: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau. Leleu:Novartis: Honoraria; LeoPharma: Honoraria; Pierre Fabre: Honoraria; Amgen: Honoraria; Bristol-Myers Squibb: Honoraria; Takeda: Honoraria; Celgene: Honoraria; Janssen: Honoraria; TEVA: Membership on an entity's Board of Directors or advisory committees. Goldschmidt:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Chugai: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium: Membership on an entity's Board of Directors or advisory committees, Research Funding; Onyx: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. Seal:Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment, Equity Ownership. Pashos:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Stull:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Romanus:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Cacioppo:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Bell:Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment, Equity Ownership. Yu:Takeda Restricted Stock Unit (RSU), a publicly traded company: Equity Ownership; Takeda Development Center Americas, Inc., Deerfield, IL, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Luptakova:Takeda Oncology: Employment. Niculescu:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Noga:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment, Equity Ownership. Skacel:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Chari:Array Biopharma: Consultancy, Research Funding; Amgen Inc.: Honoraria, Research Funding; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Pharmacyclics: Research Funding; Novartis: Consultancy, Research Funding; Janssen: Consultancy, Research Funding.

Description: Abstract 3828 Introduction: Attention is being paid to HRQOL when monitoring hematologic disorders or the impact of treatments on those disorders. Minimal HRQOL data have been published on multiple myeloma (MM) patients (pts) in the United States (US). This analysis characterizes variation in the HRQOL of pts with active, symptomatic MM by International Staging System (ISS) stage and ECOG status. Methods: Data were collected as part of Connect MM®, a prospective observational registry initiated in September 2009 involving centers in the US. Data on pt demographics and clinical characteristics were provided by clinicians. HRQOL was reported by pts in the clinic at enrollment, within two months of diagnosis. Pts completed 3 psychometrically validated instruments: EQ-5D, Brief Pain Inventory (BPI), and Functional Assessment of Cancer Therapy-Multiple Myeloma (FACT-MM). Standard analyses were conducted of each instrument given clinical characteristics at that time. Reported mean BPI, EQ-5D and FACT-MM scores were analyzed by ISS and ECOG status. Statistical significance of score differences among sub-cohorts was ascertained by ANOVA using SAS 9.1. Results: HRQOL data were reported by 328 pts, enrolled from 135 centers. Pts were predominantly male (60%) and white (79%) with mean age at 67.3 (standard deviation [SD] 11.6) yrs. HRQOL scores by evaluable ISS stage (n=236) and ECOG status (n=258) are presented. BPI data (on a scale of 0 [no pain] to 10 [worst pain]) indicate that average reported pain worsens by ISS and ECOG severity. Mean EQ-5D scores (on a scale of 1 [no problem] to 2 [some problems] to 3 [incapacity]) indicate that pain/discomfort, and usual activities are most compromised, and with self care increase in severity as ISS and ECOG worsen. Anxiety/depression level is associated with ECOG, but not with ISS. FACT-MM results indicate that ISS and ECOG severity is associated with greater decrement in physical and functional domains. The associations of HRQOL with ECOG status were stronger than with ISS stage. Specifically, scores on the BPI, all EQ-5D domains, and all FACT-MM domains (except the social/family domain) were statistically significantly associated with more severe ECOG status. Conclusions: Initial results from the Connect MM® Registry indicate that HRQOL worsens with worsening ISS stage and ECOG status, especially in physical and functioning domains, pain/discomfort, and ability to conduct usual activities and to provide self care. These areas should receive attention at diagnosis. Future analyses should be conducted on: (1) more newly diagnosed patients; (2) how HRQOL may be affected over time with changes in disease; and, (3) how HRQOL may be influenced by alternative therapies. Results reported here should serve as useful baseline reference. Disclosures: Pashos: Celgene Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding. Off Label Use: CONNECT is a disease registry and includes data on off-label use of anti-myeloma agents. Durie:Celgene & Millennium: Consultancy. Rifkin:Millennium: Membership on an entity's Board of Directors or advisory committees; Celgene: Speakers Bureau; Amgen: Speakers Bureau; Cephalon: Speakers Bureau; Dendreon: Speakers Bureau. Shah:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium: Research Funding. Street:Celgene: Employment. Sullivan:Celgene: Employment, Equity Ownership. Khan:Celgene Corporation: Employment.

Description: Abstract 4591 Introduction: Clinicians and investigators appreciate the value of measuring HRQOL for monitoring CLL and the impact of treatments, and commonly use ECOG performance status (PS) and clinician-reported patient fatigue as surrogates for HRQOL in clinical practice. However, limited data exist on the relationships between PS, fatigue, and HRQOL in CLL patients (pts) undergoing treatment in clinical practices. We examined the associations between these measures and 3 psychometrically validated, patient-reported, HRQOL instruments: the Brief Fatigue Inventory (BFI), EQ-5D, and Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu). Methods: Data were collected as part of Connect CLL®, a prospective observational registry initiated in March 2010 involving US practices. Data on pt demographics and clinical characteristics were provided by clinicians. HRQOL was self-reported by pts at enrollment using the BFI, EQ-5D, and FACT-Leu. Mean BFI, EQ-5D and FACT-Leu scores were analyzed by ECOG PS and clinician-reported fatigue. Differences in HRQOL scores between sub-cohorts were assessed by ANOVA. Results: HRQOL data were reported by 604 pts enrolled from 10 academic, 148 community, and 3 government centers. Pts were predominantly male (62%) and white (90%); mean age was 70 (standard deviation 11) years. BFI data (scale: 0 [no fatigue] - 10 [worst fatigue]) indicated that on average pts report that global fatigue, fatigue severity and fatigue-related interference worsen by ECOG severity (Table 1) and are statistically associated with clinician-reported fatigue (Table 2). Mean EQ-5D overall HRQOL as measured by a Visual Analogue Scale (VAS) from 0 (worst) to 100 (best) worsens by ECOG severity and is significantly worse in pts with fatigue. Mean EQ-5D domain scores (scale: 1 [no problem], 2 [some problems], 3 [incapacity]) indicated that pain/discomfort, mobility and usual activities increase in severity as ECOG worsens and in pts with fatigue. FACT-Leu domains except social/family were statistically worse with worse ECOG PS and in pts with fatigue. Conclusions: Initial results from Connect CLL® indicate that HRQOL worsens with worsening ECOG PS, especially in physical / functioning domains, pain/discomfort, and mobility, and worsens across multiple domains among pts whose physicians reported fatigue. Future analyses should be conducted on how HRQOL, PS and fatigue may change over time with changes in CLL, and how they are influenced by therapies. These results may serve as baseline reference. Disclosures: Pashos: Celgene: Membership on an entity's Board of Directors or advisory committees. Flowers:Genentech/Roche (unpaid): Consultancy; Celgene: Consultancy; Millennium/Takeda: Research Funding; Wyeth: Research Funding; Novartis: Research Funding. Weiss:Celgene: Membership on an entity's Board of Directors or advisory committees. Lamanna:Celgene: Membership on an entity's Board of Directors or advisory committees. Farber:Celgene: Membership on an entity's Board of Directors or advisory committees. Kipps:Igenica: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding; Abbot Industries: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; GSK: Research Funding; Gilead Sciences: Consultancy, Research Funding; Amgen: Research Funding. Lerner:Celgene: Membership on an entity's Board of Directors or advisory committees. Kay:Celgene: Membership on an entity's Board of Directors or advisory committees. Sharman:Celgene: Membership on an entity's Board of Directors or advisory committees. Grinblatt:Celgene: Membership on an entity's Board of Directors or advisory committees. Flinn:Celgene: Membership on an entity's Board of Directors or advisory committees. Kozloff:Celgene: Membership on an entity's Board of Directors or advisory committees. Swern:Celgene Corporation: Employment, Equity Ownership. Kahn:Celgene Corporation: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Sullivan:Celgene: Employment, Equity Ownership. Keating:Celgene: Membership on an entity's Board of Directors or advisory committees.

Description: Abstract 2085 Introduction. Although advanced patient age is commonly used as a factor in selecting therapy for patients with chronic lymphocytic leukemia (CLL), based on presumed associations with functional status, limited data exist regarding the relationships between age and physical, emotional, social, and functional well being. We examined the relationships between age and these domains of health-related quality of life (HRQOL) for CLL patients treated in US community practices. Methods. Baseline data were collected as part of Connect CLL®, a prospective observational registry initiated in March 2010 involving centers in the US. Data on patient demographics and clinical characteristics were provided by clinicians. HRQOL was self-reported by patients in the clinic at enrollment. Patients completed 3 psychometrically validated instruments: the Brief Fatigue Inventory (BFI), EQ-5D, and Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu). Standard analyses were conducted of each instrument given clinical characteristics at that time. Reported mean BFI, EQ-5D and FACT-Leu scores were analyzed by age group (74). Statistical significance of score differences among sub-cohorts was ascertained by ANOVA using SAS 9.1. Results. Baseline HRQOL data were reported by 604 patients, enrolled from 161 centers. Patients were predominantly male (62%) and white (90%) with mean age at 69.9 (standard deviation [SD] 11.2) yrs. HRQOL scores by age group are presented: There were no significant differences between the age groups in fatigue as measured by the BFI, or differences in overall HRQOL as measured by the EQ-5D Visual Analogue Scale (VAS) or the FACT-G. Anxiety/depression and self care are EQ-5D domains that also did not vary by age. Although mobility was most impaired in the oldest age group compared to the two younger groups, usual activities and pain/discomfort were worse in both the younger and older cohorts compared to those 65–74 years of age. FACT-Leu results indicated that the social/family domain scores did not vary by age, but that physical, emotional, and functional domains did vary statistically with the oldest typically doing better than the 65–74 year olds, but not necessarily better than those

Description: Abstract 3926 Introduction. Chronic lymphocytic leukemia (CLL) patients will have significant variation in signs and symptoms at initial presentation and across lines of therapy, with concomitant effect on patient health-related quality of life (HRQOL). HRQOL and other patient-reported outcomes, together with clinical outcomes, provide a more complete perspective on the burden of disease and facilitate a broader view of the impact of treatment regimens. This analysis evaluates whether the HRQOL of patients with CLL in the United States (US) varies at the time the patients are about to embark on various lines of therapy, and offers a baseline report from which subsequent longitudinal analysis post-treatment will be possible. Methods. Clinical and HRQOL data were collected in Connect®CLL, a prospective observational registry initiated in March 2010 involving centers in the US. Physicians provided data on the demographics and clinical characteristics of patients receiving therapy. HRQOL was self-reported by patients at enrollment using the Brief Fatigue Inventory (BFI, a symptom assessment tool), the EQ-5D (a non-disease-specific HRQOL instrument), and the Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu, a leukemia-specific HRQOL instrument). We characterized patients who had initial (First Line), second (Second Line) or subsequent (Higher Line) treatment regimens prior to initiation of regimens. Reported mean overall and/or domain-specific BFI, EQ-5D and FACT-Leu scores were analyzed by line of therapy. Statistical significance of score differences among sub-cohorts was ascertained by ANOVA using SAS 9.1. Results. Evaluable data were reported on 1005 patients, enrolled from 161 centers (93% community, 7% academic). Patients were predominantly male (62%) and white (89%) with mean age at 69 (standard deviation [SD] 11) years. HRQOL scores by line of therapy are presented: The total FACT-Leu and FACT-G results, and the total EQ-5D Index and Visual Analogue Scale (VAS) results, consistently suggest that patients initiating first line therapy have somewhat better HRQOL compared with those initiating subsequent lines of therapy. FACT-Leu total scores of patients initiating first line therapy were associated with better physical and leukemia-specific considerations, and the EQ-5D total score was associated with better mobility and pain/discomfort. Conclusions. Initial results from the Connect® CLL Registry indicate that HRQOL prior to treatment is better among patients initiating first line therapy compared to patients initiating later lines of treatment. Future analyses should be conducted to determine what clinical or other factors may be associated with the HRQOL deterioration in patients initiating subsequent lines of therapy, so as to inform clinician decision making. Also, subsequent longitudinal analyses should be undertaken to determine how HRQOL might be affected by the different lines of therapy and the specific treatment regimens, as well as by their initial HRQOL and other patient factors. Disclosures: Kay: Celgene: Research Funding. Flowers:Celgene: Consultancy; Prescription Solutions: Consultancy; Seattle Genetics: Consultancy; Millennium: Research Funding, Unpaid consultancy, Unpaid consultancy Other; Genentech: Unpaid consultancy, Unpaid consultancy Other; Gilead: Research Funding; Spectrum: Research Funding; Janssen lymphoma research foundation: Membership on an entity's Board of Directors or advisory committees. Weiss:Celgene: Consultancy. Lamanna:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Flinn:Celgene: Research Funding. Grinblatt:Celgene: Honoraria, Speakers Bureau. Kipps:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Kozloff:Celgene: Consultancy. Lerner:Celgene Connect: Membership on an entity's Board of Directors or advisory committees. Sharman:Celgene: Consultancy; Pharmacyclics: Honoraria; Calistoga: Honoraria; Portola pharmaceuticals: Consultancy. Khan:Celgene Corporation: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Swern:Celgene: Employment. Sullivan:Celgene: Employment. Pashos:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding.

Description: 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

Description: Abstract 2472 Poster Board II-449 Background: The Centers for Medicare & Medicaid Services issued erythropoiesis-stimulating agent (ESA) coverage limitations for cancer patients with CIA in July 2007 restricting ESA administration to those with hemoglobin (Hb) less than 10 g/dL and contingent on specific achieved Hb levels. Data assessing CIA patients regardless of ESA treatment pre- and post-NCD are scarce. This study evaluated Pre- and Post-NCD data in patients with CIA from a single oncology clinic in the northeastern United States to understand anemia treatment patterns, hematologic outcomes, and resource utilization. The oncology clinic, which is a part of a multi-specialty capitated integrated medical group, implemented the ESA NCD policy in September 2007. Methods: Medical, laboratory, and administrative claims data between 1/2005 and 4/2008 were retrospectively analyzed. Assessed patients had a diagnosis of malignant cancer (ICD-9-CM 140.XX-208.xx), received chemotherapy, and were anemic (Hb 〈 11 g/dL) during the chemotherapy treatment period. Patients diagnosed with myelodysplasia, acute leukemia, or chronic kidney disease who received dialysis, and those enrolled in ESA clinical trials were excluded. Data were categorized and analyzed in two time frames (Pre-NCD: 07/06-05/07, Post-NCD: 09/07-04/08). Baseline characteristics, ESA treatment patterns, hematologic outcomes (transfusion and available Hb levels), and resource utilization were assessed during the 20 week observation period following the index date of Hb 〈 11 g/dL. Results: 359 patients were identified (241 Pre-NCD; 118 Post-NCD). Baseline age, gender, race, weight, height, and distribution of tumor type were similar between groups. In the Post-NCD group, a significantly higher proportion of patients had comorbidities of congestive heart failure, coronary artery disease, and chronic obstructive pulmonary disease. The Post-NCD group had a significantly lower proportion of patients treated with ESAs (Pre-NCD 64%, Post-NCD 47%, p=0.0023). Among patients on ESA therapy (≥ 2 ESA injections), there was a trend toward shorter duration of ESA treatment in the Post-NCD arm [mean (SD): Pre-NCD 57.9 days (39.1), Post-NCD 47.3 days (38.1), p=0.08]. As noted in the table below, transfusion-independent Hb levels were lower in the Post-NCD group at baseline, Week 8, and Week 12. The proportion of patients transfused and blood utilization were similar in the Pre- and Post-NCD groups. The average number of oncology/hematology visits per patient was lower in the Post-NCD group [mean (SD): Pre-NCD 8.8 (5.9), Post-NCD 7.4 (6.5), p=0.01], however, a significantly higher proportion of patients in the Post-NCD period had a hospital admission (Pre-NCD 37.8%, Post-NCD 50.8%, p=0.02) or an emergency room (ER) visit (Pre-NCD 44.8%, Post-NCD 55.9%, p=0.048). Conclusion: Data from this single center observational study reported a lower proportion of patients initiated on ESAs, similar blood utilization, and an increased proportion of patients with hospitalization and ER visits in CIA patients with Hb 〈 11 g/dL in the Post-NCD as compared to the Pre-NCD time period. Further study assessing the impact of CIA NCD policy on healthcare resource utilization in multiple clinical centers is warranted. Disclosures: Burton: Centocor Ortho Biotech Services, LLC: Consultancy, Research Funding. Boulanger:Centocor Ortho Biotech Services, LLC: Consultancy, Research Funding. Larholt:Centocor Ortho Biotech Services, LLC: Consultancy, Research Funding. Pashos:Centocor Ortho Biotech Services, LLC: Consultancy, Research Funding. McKenzie:Centocor Ortho Biotech Services, LLC: Employment. Senbetta:Centocor Ortho Biotech Services, LLC: Employment. Lopez:Centocor Ortho Biotech Services, LLC: Employment. Sundaresan:Centocor Ortho Biotech Services, LLC: Consultancy. Preusse:Centocor Ortho Biotech Services, LLC: Consultancy. Seidler:Centocor Ortho Biotech Services, LLC: Consultancy.

Description: Abstract 5032 Background: In the past decade, with the availability of novel therapies, the paradigm for myeloma management has changed. In 2010 it is especially important to understand baseline features and initial treatment decisions. The goal of the Connect MM® registry is to characterize patients with newly diagnosed active myeloma from 200 US sites. Approximately 80% of the patient population will be enrolled from community-based practices and 20% from academic centers. An electronic case report form was developed to collect clinical data, physician choices, patient health-related quality of life (HRQoL) and response, as well as data on survival end points. This is a prospective, observational, longitudinal study with a target accrual of 1,500 patients in 3 years, with a 5 year follow-up from the time of informed consent. There are no mandated treatments or clinical assessments. However, there are data collection requirements for diagnosis and disease monitoring. Results: Since late 2009, 340 patients from 135 sites have been accrued and were included in this interim analysis. Current study demographics include: 60% male, 83% white, and 14% black, with a median age of 67 years. Thus far, 97% have been enrolled from community-based practices. All patients met study enrollment criteria and had active myeloma at entry; prior monoclonal gammopathy of unknown significance (MGUS) was reported in 13% and smoldering MM in 8%. International Staging System (ISS) staging for evaluable patients were 26.3%, 36.4%, 37.3% for stages I, II, and III, respectively. Durie-Salmon Stage (A or B) were 13%, 35%, 52% for stages I, II, and III, respectively. Staging procedures included 82% skeletal survey; 44% computed tomography (CT); 40% magnetic resonance imaging (MRI); 7% positron emission tomography (PET); 2% PET/CT; and 4% had no imaging. International Myeloma Working Group (IMWG) CRAB criteria were assessed in all enrolled patients; 9% had hypercalcemia, 18% renal insufficiency, 36% anemia, and 66% had bone lesions. Median values were: calcium 9.5 mg/dL; serum creatinine 1.1 mg/dL; hemoglobin 10.9 gm/dL. Only 9% of patients had 3 or 4 CRAB features, while 49% had only 1 feature and 26% were asymptomatic (ECOG=0). The incidence of baseline peripheral neuropathy was 6%. Initial pain led to radiation therapy for 10% of patients, with 16% having vertebroplasty or kyphoplasty. Cytogenetic studies were performed at baseline in 64% of patients and fluorescence in situ hybridization (FISH) studies in 54%. Cytogenetics and FISH were normal in 27% of patients, while in 20% both were abnormal in patients who had both performed. FISH was abnormal with normal cytogenetics in 41% and only 2% had normal FISH but abnormal cytogenetics. The most common FISH abnormalities were: 13 q- (31%), 17 p- (28%), t(4; 14) (16%). Freelite® testing was performed in 56% of patients with an abnormal ratio in 94% [rFLC]. Of evaluable patients receiving frontline therapy 98% of patients received a novel agent and only 3 patients (1.4% of treated patients) received melphalan/prednisone. Two drug combinations were used in 53%, 3 drugs in 26%, 4 drugs in 1.3%, and single agents were used in 21% of the patients. The most common regimens were: bortezomib+dexamethasone (28%), lenalidomide+dexamethasone (20%), and bortezomib+lenalidomide+ dexamethasone (15%). Conclusion: These baseline features and treatment choices characterize myeloma patients primarily in community-based practices in the US in 2010. As academic centers enroll more patients, we will be able to further characterize that population. Of particular note, 26% of patients were asymptomatic at baseline but had biochemical evidence of myeloma and met enrollment criteria; conversely 95% had an abnormal rFLC and 73% had abnormal chromosome results. The Connect MM® registry will provide data regarding patient features as they pertain to patterns in testing and treatment in the clinical practice setting, as well as response and survival outcomes. Disclosures: Durie: Celgene & Millennium: Consultancy. Off Label Use: Revlimid (lenalidomide) in combination with dexamethasone is indicated for the treatment of multiple myeloma patients who have received at least one prior therapy. Shah:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Millennium: Research Funding; Novartis: Research Funding. Abonour:Celgene & Millennium: Honoraria. Gasperetto:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millennium: Speakers Bureau. Mehta:Celgene: Consultancy, Speakers Bureau; Takeda/Millennium: Speakers Bureau; Onyx: Research Funding. Pashos:Celgene Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding. Toomey:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees. Swern:Celgene: Employment. Street:Celgene: Employment. Sullivan:Celgene: Employment, Equity Ownership. Rifkin:Millennium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Speakers Bureau; Amgen: Speakers Bureau; Cephalon: Speakers Bureau; Dendreon: Speakers Bureau.

Description: 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.

Description: Abstract 2796 Introduction: The health-related quality of life (HRQOL) of patients with myelodysplastic syndromes (MDS) is worse if they are red blood cell transfusion dependent (RBC TD) than if they are RBC transfusion independent (TI). Little is known whether a change in status from RBC TD to RBC TI is associated with improved HRQOL. This analysis characterized the HRQOL of real-world patients with MDS across 6 months of treatment with Azacitidine (AZA) by their RBC TD/TI status. Methods: Data were collected from AVIDA®, a prospective, US, community-based registry of patients treated with AZA. Patients with MDS who were originally RBC TD at baseline, and who received 56 days or more of AZA were analyzed. RBC TD, defined as having received 〉 1 RBC transfusion within 56 consecutive days, was determined and verified centrally. Clinicians provided data on patient demographics and clinical characteristics, including RBC transfusions. Patients reported HRQOL by completing the EORTC-QLQ-C30 instrument at baseline and quarterly thereafter. Summary statistics (e.g., mean scores and changes in scores) on global health status, five functional scales, and nine symptom/other scales were analyzed. Statistical significance was ascertained by ANOVA using SAS 9.1. Results: In the full AVIDA cohort, 328 MDS patients received at least 56 days of treatment with AZA, of whom 153 reported HRQOL data at baseline and at six months. At baseline, 85 of the 153 were RBC TD, while the rest were RBC TI. At six months, 41 of the 85 had become RBC TI, while 44 remained RBC TD. Global health status improved among those who became RBC TI, but declined among those who stayed RBC TD. Statistically significant and clinically meaningful (i.e., greater than 7 points) differences in change between baseline and 6 months also were seen in physical and role function, but not in emotional, cognitive or social function. Fatigue was the only symptom score in which changes were statistically significantly different between groups, with RBC TI patients reporting less fatigue, and RBC TD patients reporting more. Conclusions: Findings from AVIDA® indicate that HRQOL among RBC TD MDS patients treated with AZA improves significantly overall and on certain domains if they achieve RBC transfusion independence. The improved global health status; better physical and role functioning; and less fatigue associated with RBC TD patients achieving RBC transfusion independence should be recognized by US clinicians as they manage patients with MDS. Disclosures: Pashos: Celgene: Membership on an entity's Board of Directors or advisory committees. Grinblatt:Celgene: Membership on an entity's Board of Directors or advisory committees. Sekeres:Celgene: Consultancy, Honoraria, Speakers Bureau. Komrokji:Celgene: Honoraria, Research Funding, Speakers Bureau. Narang:Celgene: Membership on an entity's Board of Directors or advisory committees. Swern:Celgene Corporation: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Sullivan:Celgene: Employment, Equity Ownership. Khan:Celgene: Employment, Equity Ownership.