Khan, Zeba M.

7086 Background: The HRQOL of patients (pts) with chronic lymphocytic leukemia (CLL) has not been adequately delineated across patient, disease and treatment characteristics. We evaluated HRQOL of CLL pts undergoing treatment in the United States (US) by age, gender and line of therapy. Methods: Data were collected in Connect CLL, a prospective observational US registry. Physicians provided data on demographics, clinical characteristics and line of therapy at enrollment. HRQOL was self-reported by pts at enrollment using the Functional Assessment of Cancer Therapy-Leukemia, an instrument that yields a leukemia-specific total HRQOL score (FACT-Leu) and a cancer-specific total HRQOL score (FACT-G). Mean total scores were analyzed by line of therapy, age and gender. Statistical significance was ascertained by ANOVA using SAS 9.2. Multivariate analyses were conducted to assess the relative association of line of therapy, age and gender with HRQOL. Results: Among 1,252 pts enrolled from 161 geographically diverse centers (90% community, 8% academic, 2% veterans/military), pts were predominantly male (63%), white (89%) with mean age 69 yrs. Pts were categorized by line of therapy at enrollment: First 61%, Second 18%, Third 11%, Higher 9%; and by age group: <65 33%, 65-74 35%, 75+ 32%. Univariate analyses suggested that the total FACT-Leu score was significantly better in men than women (P=0.004); in pts aged 65-74 vs younger or older pts (P=0.033); and in pts initiating first-line treatment vs pts receiving subsequent treatments (P=0.0002). Similar results were found with the FACT-G score except that gender differences were not statistically significant. Multivariate analysis confirmed that line of therapy (P=0.007), gender (P<0.0001), and age group (P=0.039) were each associated with significant differences in the FACT-Leu total score. Conclusions: Results from the Connect CLL Registry indicate that HRQOL is better among pts initiating first-line therapy compared to pts initiating subsequent treatments, and that this remains true when age and gender are considered. Future analyses should determine how HRQOL may change over time relative to treatment and treatment response.

e18556 Background: 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 evaluated whether health-related quality of life (HRQOL) of patients in the US varies by race as they initiate treatment having been newly diagnosed with active, symptomatic MM. Methods: Data were collected in Connect MM, a prospective US observational registry begun in September 2009. Data on patient demographics and clinical characteristics were provided by clinicians. HRQOL was reported by patients at enrollment within 2 months of diagnosis. Patients completed the Brief Pain Inventory (BPI), EQ-5D, and Functional Assessment of Cancer Therapy-Multiple Myeloma (FACT-MM). Mean reported scores for BPI, EQ-5D and FACT-MM were analyzed by patient race. Statistical significance was ascertained by ANOVA using SAS 9.1. Results: Baseline HRQOL data were reported by 1144 patients (enrolled in 228 centers) of whom 82% were White, 13% Black, and 6% Other race. The cohorts did not differ statistically by ECOG status or by multiple myeloma stage (assessed by either the International Staging System or the Durie and Salmon system). Compared to non-Blacks, Black patients reported less anxiety/depression on the EQ-5D (p=0.030) and better emotional well-being on the FACT-MM (p=0.003). No other statistically significant differences were noted between cohorts on the BPI, other EQ-5D domains (mobility, self care, usual activities, pain/discomfort), or other FACT-MM domains (physical, social/family, functional, and MM-specific considerations). Conclusions: Initial results from the Connect MM Registry indicate that baseline HRQOL prior to initiation of treatment may vary by patient race with respect to emotional well-being, and specifically anxiety/depression. These results serve as a baseline reference for future analyses. As patients in the Connect MM Registry proceed through therapy, analyses should be conducted of patients by race, among other characteristics and factors, to determine whether it may be associated with subsequent clinical outcomes and HRQOL over time.

6122 Background: Clinicians and investigators commonly use ECOG PS and clinician-reported patient (pt) fatigue as surrogates for HRQOL, a multi-faceted construct that comprehensively looks at the pt perspective on disease and well-being. Because limited data exist on the relationships between PS, fatigue, and HRQOL for CLL pts, we examined the associations between these measures, and 3 validated HRQOL instruments: the Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu), EQ-5D, and Brief Fatigue Inventory (BFI). Methods: Data were collected in CONNECT CLL, a prospective US observational registry initiated in 2010. Patient demographics and clinical characteristics were provided by clinicians. Patient HRQOL was self-reported at enrollment using the FACT-Leu, EQ-5D, and BFI. Scores were analyzed by ECOG PS (0, 1, 2-4) and clinician-reported fatigue (yes, no). Differences in HRQOL scores were assessed by ANOVA. Results: HRQOL data were reported by 899 pts from 148 community, 10 academic, and 3 government centers. ECOG PS was available on 711 pts. Overall HRQOL, measured by mean FACT-Leu, FACT-G and EQ-5D Visual Analogue Scale (VAS), worsened with ECOG PS severity and was worse in pts with fatigue (all p<0.0001). All FACT-Leu domains except social/family were worse in pts with fatigue and those with higher ECOG PS. Mean EQ-5D pain/discomfort, mobility, self care and usual activities domain scores worsened in severity as ECOG worsened and for pts with fatigue (all p<0.011). BFI data indicated that global fatigue, fatigue severity and fatigue-related interference worsened by ECOG severity and were associated with clinician-reported fatigue (all p<0.0001). Conclusions: Initial CONNECT CLL results confirm that HRQOL worsens with worsening ECOG PS and was worse among pts with fatigue, especially in physical/functioning domains, pain/discomfort, and mobility. These results indicate that baseline ECOG PS and physician-rated fatigue are rapid assessments that predict robust measures of HRQOL. Future analyses are planned to examine how HRQOL, ECOG PS and fatigue change over time with changes in treatment and CLL disease status.

Abstract 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.