scholarly journals Health Related Quality of Life and Fatigue in Patients with Pyruvate Kinase Deficiency

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4807-4807 ◽  
Author(s):  
Eduard J. Van Beers ◽  
Kevin H. M. Kuo ◽  
D. Holmes Morton ◽  
Wilma Barcellini ◽  
Stefan W. Eber ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Pyruvate Kinase ◽  
Research Funding ◽  
Healthy Population ◽  
Missense Mutations ◽  
Advisory Committees ◽  
Related Quality ◽  
Health Related ◽  
Euroqol 5D

Abstract Background: Pyruvate Kinase (PK) deficiency is the most common enzyme defect of the glycolytic pathway causing hereditary non-spherocytic hemolytic anemia. Patients have a broad phenotypic spectrum, ranging from mild anemia to transfusion dependence, and there is wide variation in transfusion practices and decisions about splenectomy. No prior studies have reported on the use of validated health related quality of life (HRQoL) measures in this population. Aim: To describe patient reported outcomes including general HRQoL and fatigue in adults with PK deficiency and the correlation with clinical and laboratory features. Methods: Patients were enrolled on the PK Deficiency Natural History Study, a prospective 30 site international study. All patients had molecularly confirmed PK deficiency. Adults (n=132), ages ≥18 years, completed the EuroQol-5D (high index equivalent to better QoL), PROMIS Fatigue Short Form 7a (high scores equivalent to higher fatigue), and the Functional Assessment of Cancer Therapy-Anemia (FACT-An, high scores equivalent to less fatigue) surveys at enrollment and annually. Timing of administration was convenience based. Survey data were analyzed according to proprietary scoring guidelines. Tests of association were performed using Fisher's exact test (categorical) and Wilcoxon rank sum test (continuous). Regular transfusions were defined as ≥6 transfusions in 12 months. Genotypes were grouped as two missense mutations (M/M), one missense/one non-missense (M/NM), or two non-missense mutations (NM/NM)); non-missense included deletions or other drastic variants. The minimal important difference (MID) for the FACT-An has been reported as 7 points (Cella et al, J Pain Symptom Manage 2002). P-values <0.05 were considered statistically significant. Results: At enrollment, 128 adults completed the FACT-An with a median total score of 156 (IQR 122-190). Patients receiving regular transfusions reported significantly lower FACT-An scores than those who were not regularly transfused (median 129 vs 156, p=0.004) with significantly lower scores for physical, emotional, and functional well-being and anemia sub-scores (Table). This difference also surpassed the MID. However, non- regularly transfused patients with hemoglobin (Hb) <8 g/dl did not report significantly different scores than those with Hb≥ 8 g/dl (p=0.75). There were also no significant differences in FACT-An scores by splenectomy status or age. The FACT-An score differences were greater than the MID for patients with iron overload (ferritin >1000 ng/dL or chelation), higher number of lifetime transfusions, and two missense mutations. Females reported significantly lower scores than males (median 143 vs. 160, p=0.006) with significantly lower anemia sub-scores (p=0.0009). FACT-An surveys completed at the one year follow-up time point validated these findings. EuroQol-5D scores (n=124) at enrollment were similar to the healthy population (median PK deficiency index score 0.88; healthy population index mean 0.88, Shaw et al, Medical Care 2005). No significant differences were found by Hb level, splenectomy status, transfusion status, or genotype group. The median PROMIS fatigue T score (n=66) was 52.1 (IQR 40.5-63.7). Similar to the FACT-An survey data, PROMIS fatigue scores were significantly worse in patients who were regularly transfused (67.0 vs 52.4, p=0.02). PROMIS fatigue scores were also significantly worse in patients ≥40 years old (p=0.05) and females (p=0.01). Conclusions: Using the FACT-An and PROMIS Fatigue measures, patients with PK deficiency who are regularly transfused report significantly more fatigue and worse HRQoL compared with those who are not transfused. Important differences were also seen by iron status and mutation group using the FACT-An. Patients report similar fatigue levels regardless of Hb level, which suggests that symptoms, rather than Hb value alone, should be factored into clinical decision making. In contrast to anemia related HRQoL scores, overall HRQoL scores using validated generic measures in patients with PK deficiency show no differences compared with the healthy population, suggesting that disease-specific measures may better detect the effects of PK deficiency on HRQoL. Disclosures Van Beers: Agios Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Glader:Agios Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Chonat:Agios Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Despotovic:AmGen: Research Funding; Novartis: Research Funding; Sanofi: Consultancy. Kwiatkowski:bluebird bio: Consultancy, Honoraria, Research Funding; Agios Pharmaceuticals: Consultancy, Research Funding; Novartis: Research Funding; Apopharma: Research Funding; Terumo: Research Funding. Thompson:La Jolla Pharmaceutical: Research Funding; Baxalta/Shire: Research Funding; Novartis: Research Funding; Celgene: Research Funding; bluebird bio: Consultancy, Research Funding; Biomarin: Research Funding; Amgen: Research Funding. Newburger:TransCytos LLC: Consultancy; Janssen Research & Development, LLC: Consultancy, Honoraria; X4 Pharmaceutics: Consultancy, Honoraria. Ravindranath:AGIOS: Other: Site Investigator for Pyruvate Kinase Deficiency. Sheth:Terumo Corporation: Research Funding; Novartis: Research Funding; La Jolla Pharmaceutical Company: Research Funding; Celgene Corporation: Consultancy, Research Funding; Bluebird Bio: Consultancy. Grace:Agios Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Agios Pharmaceuticals: Research Funding; Agios Pharmaceuticals: Consultancy.

scholarly journals 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 ◽  
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 &lt;70 (HR=1.61, p&lt;.01) and PCS scores &lt;40 (HR=1.82, p&lt;0.001), while leukemia-free survival was predicted by baseline FACT-G &lt;70 (HR=1.61, p&lt;0.01) and PCS &lt;40 (HR=1.80, p&lt;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.

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

Blood ◽  
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.

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 ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3309-3309 ◽  
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.

scholarly journals Validation of the Qualms Questionnaire to Assess Health-Related Quality of Life in European and Israeli Patients with Myelodysplastic Syndromes: Results from the MDS-Right Project

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1982-1982
Author(s):  
Fabio Efficace ◽  
Karin A Koinig ◽  
Francesco Cottone ◽  
David Bowen ◽  
Moshe Mittelman ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Board Of Directors ◽  
Research Funding ◽  
Discriminant Validity ◽  
Project Manager ◽  
Advisory Committees ◽  
Horizon 2020 ◽  
Related Quality ◽  
Health Related

Abstract Background The assessment of health-related quality of life (HRQoL) in patients with myelodysplastic syndromes (MDS) is critical to organize more robustly patient-centered care. Therefore, availability of well-validated disease-specific HRQoL measures in this area is important. Objectives We investigate the validity of the Quality of Life in Myelodysplasia Scale (QUALMS), to assess HRQoL in MDS patients reported to the European MDS (EUMDS) Registry. A prior validation effort has been reported (Abel G, et al. Haematologica, 2016 June; 781-88), but this was largely a North American cohort and subscales suggested by the original principal components analysis had not been validated. Patients and Methods The QUALMS questionnaire was included in the EUMDS Registry (de Swart L, et al. Br J Haematol. 2015 Aug;170:372-83), a large international initiative including several European countries and Israel. We used proportions, median and interquartile range (IQR) to summarize patients' characteristics at baseline. We also assessed internal consistency and test-retest reliability by Cronbach's alpha (threshold for acceptability Cronbach's alpha ≥0.70). Confirmatory factor analysis (CFA) was used to examine the model fit for the underlying scale structure. The model performance was evaluated by Comparative Fit Index (CFI), the Tucker-Lewis Index (TLI), and the Root Mean Squared Error of Approximation (RMSEA), where acceptable values were &gt;0.90 for CFI and TLI and RMSEA&lt;0.08. We assessed concurrent validity calculating the Spearman's rank correlation between scales from QUALMS and EQ-5D-3L questionnaire. Discriminant validity was assessed using the Wilcoxon-Mann-Whitney test to compare the scores between patient subgroups, defined as low vs. intermediate/high MDS comorbidity index (MDS-CI), lower vs higher (&lt; 90 vs. ≥ 90) Karnofsky performance status (KPS), anemic vs. non-anemic patients as defined by gender-specific thresholds from the World Health Organization, males vs. females and having received or not red blood cell (RBC) transfusions previously. Responsiveness to change of QUALMS scales was evaluated by Wilcoxon signed-rank test to assess changes in the scores from baseline in patients who reported an improvement in Hb-levels (≥1.5 g/dL) and in those who reported a clinically meaningful deterioration in the Visual Analogue Scale (VAS) of the EQ-5D-3L. Results Overall, 270 MDS patients completed the QUALMS questionnaire, from 17 centers across four countries: Austria (N = 61), Israel (N = 67), The Netherlands (N = 37) and United Kingdom (N = 105). The majority of patients were male (67.4%) with a median age at diagnosis of 74 years (IQR =68.0-80.0) and a low MDS-CI score (n=158). CFA indicated acceptable model fit, respectively CFI=0.93, TLI=0.93 and RMSEA=0.07. For all analyses, the scales QUALMS-physical burden (P), QUALMS-emotional burden (E) and the total score showed satisfactory results, while the scale QUALMS-benefit finding (BF) showed worse results. Internal consistency and test-retest reliability were acceptable for the total score (TS) and all scales but BF (see figure). Pairwise correlations between QUALMS-P, QUALMS-E, TS and all the scales from EQ-5D-3L (including VAS) showed satisfactory concurrent validity (range from -0.67 to 0.60). Only the QUALMS-BF did not correlate with any of the EQ-5D-3L scales (range from -0.07 with EQ-VAS to 0.14 with EQ-5D Anxiety/ Depression). As per discriminant validity, all known-group comparisons were statistically significant and consistent with the underlying clinical construct for all scales apart for the QUALMS-BF. For example, the QUALMS-P mean scores were 75.8 vs 54.6 (p&lt; 0.001) for patients with a higher vs lower KPS, while the corresponding QUALMS-BF mean scores were 49.4 vs 50.9 (p=0.829). The same profile resulted for responsiveness to change, where all scales reflected significant changes in Hb levels and in EQ-VAS score in the expected direction, while QUALMS-BF did not. For example, those patients who experienced a clinically meaningful deterioration in the VAS score also had also a worsening in QUALMS-P (Δ=-6, p=0.003), QUALMS-E (Δ=-1.8, p=0.075) and TS (Δ=-3, p=0.003). Conclusions Current findings provide novel evidence-based data that support the validity of the QUALMS for its use in European and Israeli patients with MDS. Implementation of the QUALMS in MDS research may further raise PRO standards in this area. Figure 1 Figure 1. Disclosures Efficace: Takeda: Consultancy; Janssen: Consultancy; Abbvie: Consultancy, Other: Grants (to Institution); Amgen: Consultancy, Other: Grants (to Institution). Mittelman: Janssen · Roche · Novartis · Takeda · Medison / Amgen · Neopharm / Celgene / BMS · Abbvie · Gilead: Research Funding; Novartis · Takeda · Fibrogen · Celgene / BMS · Onconova · Geron: Other: Clinical Trial Support; Onconova · Novartis · Takeda · Silence: Membership on an entity's Board of Directors or advisory committees; MDS HUB: Consultancy; Celgene / BMS · Novartis: Speakers Bureau. Van Marrewijk: Novartis Pharmacy B.V. Oncology Europe: Other: project manager of the EUMDS Registry, is funded from the EUMDS (educational grants from Novartis Pharmacy B.V. Oncology Europe); Amgen Limited: Other: project manager of the EUMDS Registry, is funded from the EUMDS (educational grants from Amgen Limited); Celgene International: Other: project manager of the EUMDS Registry, is funded from the EUMDS (educational grants from Celgene International); Janssen Pharmaceutical: Other: project manager of the EUMDS Registry, is funded from the EUMDS (educational grants from Janssen Pharmaceutical); Takeda Pharmaceuticals International: Other: project manager of the EUMDS Registry, is funded from the EUMDS (educational grants from Takeda Pharmaceuticals International); EU's Horizon 2020 program: Other: MDS-RIGHT (grant from EU's Horizon 2020 program) project budgets. de Witte: Takeda: Research Funding; Novartis: Research Funding; Janssen: Research Funding; Celgene: Research Funding; Amgen: Research Funding. Stauder: Celgene/BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel support; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees.

Variation in Health-Related Quality of Life by Age Among Patients with Chronic Lymphocytic Leukemia

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2085-2085
Author(s):  
Chris L. Pashos ◽  
Christopher R Flowers ◽  
Mark Weiss ◽  
Nicole Lamanna ◽  
Charles M Farber ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Age Groups ◽  
Lymphocytic Leukemia ◽  
Age Group ◽  
Employment Equity ◽  
Advisory Committees ◽  
Related Quality ◽  
Health Related ◽  
Equity Ownership

Abstract 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 (<65, 65–74, >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 <65. Conclusions. Initial results from the Connect CLL® Registry indicate that HRQOL does not worsen monotonically with older age. In this cohort, both the youngest and oldest age groups had worse HRQOL in certain domains, presenting an inverted v-shaped relationship. Future analyses should be conducted on: (1) how HRQOL may be affected over time with changes in disease; and, (2) how HRQOL may be influenced by alternative therapies. Results reported here should serve as a useful 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.

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

Blood ◽  
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.

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

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 5070-5070 ◽  
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.

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

Blood ◽  
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 (&gt; 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.

scholarly journals Health Related Quality of Life and Fatigue Improve on Second Line Treatments in Pediatric Immune Thrombocytopenia (ITP)

Blood ◽  
2017 ◽  
Vol 130 (Suppl_1) ◽  
pp. 752-752
Author(s):  
Rachael F. Grace ◽  
Robert J Klaassen ◽  
Rukhmi Bhat ◽  
Michelle Neier ◽  
Melissa J. Rose ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Line Treatment ◽  
Second Line ◽  
Advisory Committees ◽  
Related Quality ◽  
Health Related ◽  
Effect Of Treatment ◽  
The Impact ◽  
Parent Proxy

Abstract Background: The impact of second line therapies on health related quality of life (HRQoL) and fatigue in pediatric patients with ITP is not well studied. Objective: To describe the impact of second line therapies on HRQoL and fatigue in North American pediatric patients with ITP. Methods: A longitudinal observational cohort of 120 children with ITP starting second line treatments was enrolled from 2013-2015 at 21 ICON centers. Enrollment requirements included age 1-17y and starting a second line treatment (not IVIG, corticosteroids or anti-D immunoglobulin) as monotherapy. HRQoL (Kids ITP Tool - KIT) and fatigue (Hockenberry Fatigue Scale - FS) surveys were completed prior to starting treatment (baseline) and 1 and 12 months after starting treatment by patient/caregiver. KIT is scored from 0 (worst) to 100 (best), and the FS scores were re-scaled so that 0 is no fatigue and 100 is highest fatigue. At the same time points as the patient/caregiver surveys, physicians assessed the perceived effect of treatment on patient HRQoL using a 7-point scale. ANOVA was used to compare the baseline means of the treatment groups. This study specifically compared change from baseline to 1 month in the KIT and FS using paired t-tests within each treatment group. The 12 month timepoint was not used in the paired analysis of individual treatments due to attrition between 1 and 12 months. Results: The median age at enrollment was 11.3 y (1.2-17.8), and 16% (19/120) had newly diagnosed ITP, 31% (37/120) had persistent ITP, and 53% (64/120) had chronic ITP. The median number of prior treatments was 3 (range: 1-9). Fifty-eight (48%) patients had received at least one prior second line treatment. Treatments selected for second line treatment included: rituximab (n=43), romiplostim (n=31), eltrombopag (n=20), oral immunosuppressants (n=19), splenectomy (n=4), and dapsone (n=3). The child and parent proxy KIT scores significantly improved on rituximab (p&lt;0.001 for both), oral immunosuppressants (p=0.02, p=0.001), and eltrombopag (p=0.01 for both). Child KIT scores also significantly improved on romiplostim (p=0.003); however, there was no significant change in the parent proxy score (p=0.29). The parent impact KIT scores significantly improved from baseline to 1 month on all treatments (p&lt;0.001), although the scores were not significantly different between treatment types (p=0.67). Child, parent proxy, and parent impact KIT scores significantly increased between 1 month and 12 months in paired analysis combining treatments (p&lt;0.001). As previously described, at enrollment, physicians reported that ITP had impacted the patients' HRQoL severely in 15%, significantly in 45%, moderately in 38%, and almost not at all in 3%. Physicians reported that HRQoL improved in 68% (range: 64-75%) of patients while on treatment from baseline to 1 month with no significant difference by treatment group (p=0.46). The physician's assessment of the patient's baseline HRQoL significantly correlated with the child and parent proxy KIT report (p&lt;0.0001); however, after 1 month of treatment, the physician's assessment no longer correlated with the child (p=0.26) or parent proxy KIT report (p=0.11). At enrollment, the median FS-Child score (n=54) was 18.5 (range 0-85), the median FS-Adolescent score (n=42) was 20.2 (0-73), and the median FS-Parent (n= 100) score was 35 (7-81). One month FS-Child improved for those who were treated with rituximab (p=0.03); there was no significant change in fatigue on the other treatments. One month FS-Parent significantly improved for those treated with rituximab (p=0.015) and eltrombopag (p=0.009). Conclusions: In this pediatric cohort, all second line treatments appear to significantly improve HRQoL in ITP. Rituximab had the greatest impact in decreasing fatigue at one month. Physician assessment of patient HRQoL did not correlate well with patient assessment after treatment was started, suggesting there may be challenges in ascertaining the effect of treatment on HRQoL. Future analysis of ICON1 will consider the impact of treatment on HRQoL and fatigue while also accounting for the treatment effect on bleeding and platelet count. Disclosures Grace: Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Klaassen: Amgen: Consultancy; Hoffman-La Roche LTD: Consultancy; Octapharma: Honoraria; Baxalta: Honoraria; Biogen Canada LTD: Consultancy; Agios Pharmaceuticals: Consultancy. Despotovic: Sanofi: Consultancy; Schell Cooley LLP: Other: Expert witness. Bussel: Protalex: Membership on an entity's Board of Directors or advisory committees, Research Funding; Momenta: Membership on an entity's Board of Directors or advisory committees; Rigel: 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; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding. Rothman: Pfizer: Consultancy; Agios Pharmaceuticals: Honoraria. Haley: Genentech: Honoraria; Baxalta: Honoraria; CSL Behring: Honoraria. Neufeld: Octapharma: Consultancy, Honoraria; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Lambert: Educational Concepts in Medicine: Honoraria; Novartis: Honoraria; AstraZeneca: Research Funding.

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

Blood ◽  
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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