Mapping EORTC QLQ-C30 and QLQ-MY20 to EQ-5D in patients with multiple myeloma

Valuing quality of life for economic evaluations in cancer: navigating multiple methods

INTRODUCTION

Utility values offer a quantitative means to evaluate the impact of novel cancer treatments on patients' quality of life (QoL). However, the multiple methods available for valuing QoL present challenges in selecting the most appropriate method across different contexts.

AREAS COVERED

This review provides cancer clinicians and researchers with an overview of methods to value QoL for economic evaluations, including standalone and derived preference-based measures (PBMs) and direct preference elicitation methods. Recent developments are described, including the comparative performance of cancer-specific PBMs versus generic PBMs, measurement of outcomes beyond health-related QoL, and increased use of discrete choice experiments to elicit preferences. Recommendations and considerations are provided to guide the choice of method for cancer research.

EXPERT OPINION

We foresee continued adoption of the QLU-C10D and FACT-8D in cancer clinical trials given the extensive use of the EORTC QLQ-C30 and FACT-G in cancer research. While these cancer-specific PBMs offer the convenience of eliciting utility values without needing a standalone PBM, researchers should consider potential limitations if they intend to substitute them for generic PBMs. As the field advances, there is a greater need for consensus on the approach to selection and integration of various methods in cancer clinical trials.

Impact of elranatamab on quality of life: Patient-reported outcomes from MagnetisMM-3

The physical and emotional burden of relapsed or refractory multiple myeloma (RRMM) has been strongly correlated with declining health-related quality of life (QOL) in the patients it affects. This analysis evaluated patient-reported outcomes (PROs) from B-cell maturation antigen (BCMA)-naive (n = 123) and -exposed (n = 64) patients with RRMM enrolled in the MagnetisMM-3 study (NCT04649359) and treated with the humanized, bispecific BCMA-CD3 antibody elranatamab. Patients received two step-up doses of elranatamab (12 mg on day 1, 32 mg on day 4) before starting the full dose of 76 mg on day 8 (each cycle = 28 days). Global health status, functioning and symptom data were collected electronically using validated and myeloma-specific questionnaires. Improvements in PROs occurred early, with marked reductions in pain and disease symptoms and notable improvements in patients' outlook for their future health. Additionally, 40.2% of BCMA-naive and 52.6% of BCMA-exposed patients perceived their disease as 'a little better' or 'much better' by Cycle 1, Day 15. The results from this analysis demonstrated that elranatamab maintained or improved symptomology and general health status, regardless of prior BCMA-directed therapy. Thus, in addition to its clinical benefits, elranatamab therapy may sustain or improve QOL in heavily pretreated patients with RRMM.

Characterization and Outcomes of Spanish Patients With Relapsed/Refractory Multiple Myeloma Included in the LocoMMotion Study

BACKGROUND

Despite advances in treatments for multiple myeloma (MM), most patients relapse and become refractory to standard drug classes including immunomodulatory drugs (IMiDs), proteasome inhibitors (PIs), and anti-CD38 antibodies. The LocoMMotion study showed poor clinical outcomes in triple-class exposed patients with relapsed/refractory MM (RRMM) treated with real-world clinical practice (RWCP) therapy. Here, we report efficacy outcomes for Spanish patients receiving RWCP treatments in the LocoMMotion study compared with the full cohort.

PATIENTS AND METHODS

The prospective, noninterventional, multinational LocoMMotion study (NCT04035226) enrolled 248 patients who had received ≥ 3 prior lines of therapy (LOT), including a PI, an IMiD, and an anti-CD38 antibody, with disease progression during or after their last LOT. The primary endpoint was overall response rate (ORR). Secondary endpoints included progression-free survival (PFS) and overall survival (OS).

RESULTS

Spanish patients (n = 24) had received a median of 4 prior LOT (range, 2-7). At 29.2 months median follow-up, patients had received 14 different treatment regimens used in RWCP during the study. Efficacy outcomes were consistent between the Spanish cohort and overall study population. The ORR was 29.2% (95% CI, 12.6%-51.1%). Median PFS and OS were 4.6 months (95% CI, 1.2-6.3) and 11.6 months (95% CI, 6.4-24.5), respectively.

CONCLUSION

Spanish patients from the LocoMMotion study demonstrated poor outcomes in response to RWCP treatments consistent with those of the overall study population, highlighting the need for access to new and effective therapies for patients with RRMM in Spain and globally.

A Novel Digital Educational Strategy Improves Treatment Adherence and Quality of Life in Patients with Multiple Myeloma

Multiple myeloma, the second most common hematologic malignancy worldwide, is an aggressive disease with high morbidity and mortality rates. Although myeloma remains incurable, new treatments have improved patients' life expectancy and quality of life. However, as these therapies are administered for prolonged and often indefinite periods, their success depends on high treatment adherence and significant patient engagement. This study aimed to evaluate the impact of a novel digital educational strategy on treatment adherence, quality of life, and the development of complications in patients with newly diagnosed myeloma. To this end, a two-arm, randomized, prospective, double-blind study was conducted to compare the conventional educational approach alone or combined with the novel digital strategy. This strategy was based on some principles of the Persuasive Systems Design model and incorporated the educational recommendations of patients and caregivers. Compared to the control group that only received information through the conventional educational approach, patients randomized to the digital strategy showed significantly higher treatment adherence and quality of life, associated with increased functionality and rapid reincorporation into daily routines. The digital strategy empowered patients and caregivers to understand the disease and therapeutic options and helped patients recall treatment information and implement healthy lifestyle habits. These results support that patient-targeted educational strategies can positively influence treatment adherence and thus improve their quality of life.

A digital twin model for evidence-based clinical decision support in multiple myeloma treatment

The treatment landscape for multiple myeloma (MM) has experienced substantial progress over the last decade. Despite the efficacy of new substances, patient responses tend to still be highly unpredictable. With increasing cognitive burden that is introduced through a complex and evolving treatment landscape, data-driven assistance tools are becoming more and more popular. Model-based approaches, such as digital twins (DT), enable simulation of probable responses to a set of input parameters based on retrospective observations. In the context of treatment decision-support, those mechanisms serve the goal to predict therapeutic outcomes to distinguish a favorable option from a potential failure. In the present work, we propose a similarity-based multiple myeloma digital twin (MMDT) that emphasizes explainability and interpretability in treatment outcome evaluation. We've conducted a requirement specification process using scientific literature from the medical and methodological domains to derive an architectural blueprint for the design and implementation of the MMDT. In a subsequent stage, we've implemented a four-layer concept where for each layer, we describe the utilized implementation procedure and interfaces to the surrounding DT environment. We further specify our solutions regarding the adoption of multi-line treatment strategies, the integration of external evidence and knowledge, as well as mechanisms to enable transparency in the data processing logic. Furthermore, we define an initial evaluation scenario in the context of patient characterization and treatment outcome simulation as an exemplary use case for our MMDT. Our derived MMDT instance is defined by 475 unique entities connected through 438 edges to form a MM knowledge graph. Using the MMRF CoMMpass real-world evidence database and a sample MM case, we processed a complete outcome assessment. The output shows a valid selection of potential treatment strategies for the integrated medical case and highlights the potential of the MMDT to be used for such applications. DT models face significant challenges in development, including availability of clinical data to algorithmically derive clinical decision support, as well as trustworthiness of the evaluated treatment options. We propose a collaborative approach that mitigates the regulatory and ethical concerns that are broadly discussed when automated decision-making tools are to be included into clinical routine.

Systemic Diseases with Oral Manifestations and Their Impact on Health-Related Quality of Life

Health-related quality of life is a multidimensional concept established to evaluate the physical, psychological, and social impacts of health conditions on individuals’ well-being. Various tools for measuring health-related quality of life can be categorized into two subsets: generic and disease–specific instruments. The oral cavity can be stricken by a broad range of local and systemic diseases and their systemic treatment modalities. The most common systemic illnesses associated with oral lesions are hematologic disorders, endocrinopathies, neurological disorders, gastrointestinal conditions, mucocutaneous and rheumatic diseases, and neoplastic processes. Their manifestations in the oral cavity are, in most cases, rather nonspecific but should not be overlooked. Oral health is one of the most important parts of overall health, thus it has been proposed that poor oral health may affect health–related quality of life. The presence of oral manifestations of systemic diseases has a negative impact on the daily functioning of patients, decreasing their overall well-being. This article will review the most common systemic diseases with oral manifestations and their impact on the health–related quality of life. Oral health researchers should put a stronger emphasis on the patient-reported quality of life as a primary outcome in future clinical trials. The significance of this area has still not been widely understood in the current dental literature even though it could help improve patients’ health-related quality of life.

The Burden of a Multiple Myeloma Diagnosis on Patients and Caregivers in the First Year: Western European Findings

Background

This research aimed to quantify the burden of illness (BoI) in transplant eligible (TE) and transplant non-eligible (TNE) newly diagnosed multiple myeloma (NDMM) patients and their caregivers, in the first year after diagnosis: at months 0, 3, and 12.

Methods

Prospective, cross-sectional, observational NDMM study of TE and TNE patients and their caregivers from France, Germany, Italy, and Spain was conducted between May 2019 and January 2021. A structured, online questionnaire measuring disease burden, direct and costs, out-of-pocket expenses, and health-related quality of life (HRQoL) was used. Descriptive statistics were performed.

Results

A total of 164, 160, and 190 NDMM patients [>65 years; self-described healthy; not working; living with caregiver] answered at months 0, 3, and 12. Patients lost independence to perform daily activities; mean pain intensity rose and opioid utilization increased, more significantly among TNE patients. Overall health status and HRQoL remained stable. Median 3-month direct medical costs peaked at month 3. Specialist consultations and hospital admissions were the greatest cost amongst TE and TNE patients. Home adaptations increased out-of-pocket expenditures amongst TNE patients. Patients describing themselves as working spent a median 0 hours in the office at all time points. A total of 131, 122, and 124 caregivers answered at months 0, 3, and 12. Mean self-rated burden score rose. By month 12, half of caregivers developed stress, anxiety or depression. Most employed caregivers continued working. Productivity was low at month 0 with a trend of recovering at month 12. Caregivers of TNE compared to TE patients reported greater time burden. Caregivers' HRQoL was stable over time.

Conclusion

NDMM is burdensome for patients and caregivers in the first year after diagnosis. TNE patients are more dependent on caregivers and incur higher care costs than TE patients. Despite the financial, physical, and emotional burden, HRQoL remains stable possibly indicating resilience and illness adjustment amongst patients and caregivers.

Valutazione economica di treosulfan in pazienti sottoposti a trapianto allogenico di cellule staminali ematopoietiche

Objective:

To assess the cost-effectiveness and economic sustainability of treosulfan plus fludarabine compared with busulfan plus fludarabine as a conditioning treatment for malignant disease prior to allogeneic haematopoietic stem cell transplantation (alloHSCT) in adult patients in Italy.

Method:

The two theoretical cohorts of patients aged ≥ 60 years with acute myeloid leukaemia (AML) and myelodysplastic syndrome (MDS) were pooled and followed over time using a partitioned survival model with cycles of 28 days. Patients can transition between a post-HSCT recovery/remission state (Event-Free Survival state, EFS state), a relapsed/progressed disease state, and a death state. A lifetime horizon for cost-effectiveness analysis and a 5-years’ time horizon for budget impact analysis were used. The perspective of the Italian National Health Service was adopted. Utility values were obtained from published sources. Costs included: drug acquisition, HSCT procedure, management and treatment of adverse reactions, graft-versus-host disease (GvHD) and health states, end of life treatment. Discounting of 3% per year was applied for both costs and outcomes according to Italian guidelines. Sensitivity was tested through both one-way and probabilistic analyses.

Results:

Cost-effectiveness analysis showed that treosulfan is both more effective and less expensive compared with busulfan (+1.08 life-years, +0.95 quality-adjusted life-years per patient and –€ 41,388 per patient). On the side of economic sustainability, the introduction of treosulfan in the market could generate a cumulative decrement of the expense incurred by NHS of about –€ 212,063 over five years.

Conclusion:

Treosulfan could represent a cost-effective and sustainable treatment alternative from the perspective of the NHS.

A call to action to harmonize patient-reported outcomes evidence requirements across key European HTA bodies in oncology

Patient-reported outcome (PRO) data are increasingly being included in Health Technology Assessment (HTA) submissions for oncology drugs. This study aims to provide differences in PRO evidence requirements in oncology across key HTA bodies and calls for its harmonization. Method guidance provided by HTA bodies in Germany, France, and the UK, and analysis of HTA reports of 20 oncology case studies were evaluated in this review. Differences exist between HTA bodies regarding guidance on how PRO data should be collected, reported and analyzed as well as how the data are reviewed and considered in oncology HTAs. HTA bodies can play a key role to harmonize PRO method guidance in collaboration with regulators and sponsors.

Feasibility of Deriving Health State Utilities in Mycosis Fungoides Cutaneous T-Cell Lymphoma Using Mapping Algorithms

BACKGROUND

A prospective, observational, US-based study (PROVe) used three questionnaires (Pruritus-VAS, Skindex-29, MF/SS-CTCL QoL) to assess quality of life in patients diagnosed with mycosis fungoides cutaneous T-cell lymphoma (MF-CTCL); however, none of these studies was provided with a preference-based algorithm yielding health state utility values (HSUVs).

OBJECTIVE

This study aimed to assess the feasibility of deriving HSUVs from published mapping algorithms by comparing mapped utilities with the HSUVs reported in the MF-CTCL literature.

METHODS

We searched PubMed, the School of Health and Related Research Health Utility Database (ScHARRHUD), and the Health Economics Research Centre (HERC) database of mapping studies (version 7.0) to identify any studies mapping Pruritus-VAS, Skindex-29, or MF/SS-CTCL QoL to a preference-based instrument (ideally, EQ-5D), and any studies assessing HSUVs in MF-CTCL. Two algorithms from a recent study that mapped Pruritus-VAS onto EQ-5D-3L were applied to the PROVe patient-level data. We performed multiple imputation to handle missing VAS data, calculated average mapped utilities in the whole sample, and compared them with relevant factors using the t-test and one-way analysis of variance (ANOVA).

RESULTS

Overall, 298 patients provided 1441 Pruritus-VAS scores over a 2-year follow-up (1-21 visits per patient). The average mapped HSUVs ranged between 0.950 and 0.999 depending on the algorithm applied and imputation of missing data. In subgroup analysis, significant differences (p < 0.05) were observed according to age, race, and cancer stage. A few previous studies that collected HSUVs from MF-CTCL patients reported mean values of between 0.82 and 0.87 using time trade-off, 0.63 and 0.83 using EQ-5D, and 0.51 and 0.69 using the HUI3.

CONCLUSIONS

The HSUVs derived by applying published mapping algorithms to PROVe Pruritus-VAS data appeared largely overestimated if compared with the existing literature. More research is required to understand the applicability of existing mapping algorithms and to develop new mapping algorithms in MF-CTCL.

Methodological Comparison of Mapping the Expanded Prostate Cancer Index Composite to EuroQoL-5D-3L Using Cross-Sectional and Longitudinal Data: Secondary Analysis of NRG/RTOG 0415

PURPOSE

To compare the predictive ability of mapping algorithms derived using cross-sectional and longitudinal data.

METHODS

This methodological assessment used data from a randomized controlled noninferiority trial of patients with low-risk prostate cancer, conducted by NRG Oncology (ClinicalTrials.gov identifier: NCT00331773), which examined the efficacy of conventional schedule versus hypofractionated radiation therapy (three-dimensional conformal external beam radiation therapy/IMRT). Health-related quality-of-life data were collected using the Expanded Prostate Cancer Index Composite (EPIC), and health utilities were obtained using EuroQOL-5D-3L (EQ-5D) at baseline and 6, 12, 24, and 60 months postintervention. Mapping algorithms were estimated using ordinary least squares regression models through five-fold cross-validation in baseline cross-sectional data and combined longitudinal data from all assessment periods; random effects specifications were also estimated in longitudinal data. Predictive performance was compared using root mean square error. Longitudinal predictive ability of models obtained using baseline data was examined using mean absolute differences in the reported and predicted utilities.

RESULTS

A total of 267 (and 199) patients in the estimation sample had complete EQ-5D and EPIC domain (and subdomain) data at baseline and at all subsequent assessments. Ordinary least squares models using combined data showed better predictive ability (lowest root mean square error) in the validation phase for algorithms with EPIC domain/subdomain data alone, whereas models using baseline data outperformed other specifications in the validation phase when patient covariates were also modeled. The mean absolute differences were lower for models using EPIC subdomain data compared with EPIC domain data and generally decreased as the time of assessment increased.

CONCLUSION

Overall, mapping algorithms obtained using baseline cross-sectional data showed the best predictive performance. Furthermore, these models demonstrated satisfactory longitudinal predictive ability.

Effects of Curcuminoids on Systemic Inflammation and Quality of Life in Patients with Colorectal Cancer Undergoing Chemotherapy: A Randomized Controlled Trial

BACKGROUND

Colorectal cancer (CRC) is the third and the fourth most common cancer in Iranian men and women, respectively. Curcuminoids are known to exertprotective effects against several kinds of cancers. We aim to assess the effects of curcuminoids on serum pro- and anti-inflammatory cytokines and quality of life in patients with colorectal cancer undergoing chemotherapy.

MATERIAL AND METHODS

This study was a double-blind placebo-controlled trial in patients with CRC (stage 3) aged ≥20 years, who had chemotherapy after the surgery and were referred to Baqiyatallah Oncology Clinic. Patients were randomly assigned to the treatment group receiving curcuminoids capsules (500 mg/day) (n = 36), or the control group taking placebo capsules (n = 36) for 8 weeks. Erythrocyte sedimentation rate (ESR) and serum levels of C-reactive protein (CRP) and 12 pro- and anti-inflammatory cytokines including tumor necrosis factor (TNF-α), interleukin-1α (IL-1α), IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10, monocyte chemoattractant protein (MCP-1), interferon γ (IFN-γ), epidermal growth factor (EGF), and vascular endothelial growth factor (VEGF)] were measured at baseline and at the end of the intervention. The EORTC-QLQ-C30 instrument was used to assess the quality of life before and after the intervention. Statistical analyses were performed using SPSS software.

RESULTS

A total of 67 subjects completed the study as three and two subjects were lost to follow-up in the curcuminoid and placebo groups, respectively. A significant change in CRP (p = 0.002) and ESR (p = 0.0001) was observed in patients supplemented with curcuminoids at the end of 8 weeks compared to placebo. Moreover, IL-1α showed a decreasing trend after curcuminoid supplementation compared to placebo (p = 0.077). A significant improvement in functional (p = 0.002) and global quality of life (p = 0.020) scales was observed in the curcuminoid group.

CONCLUSIONS

The results showed that curcuminoids supplementation for a period of 8 weeks (500 mg/day) can improve ESR and serum levels of CRP in stage-3 CRC subjects and improve the global quality of life and functional scales compared to placebo.

Mapping the Haem-A-QoL to the EQ-5D-5L in patients with hemophilia

OBJECTIVE

This study's objective was to develop an algorithm that mapping the Haem-A-QoL scores to EQ-5D-5L utility scores in patients with hemophilia in China.

METHODS

A national sample of 862 patients with hemophilia completed both the EQ-5D-5L and Haem-A-QoL instruments. Eight regression models were selected to develop the mapping algorithm, they were: the ordinary least squares, general linear regression, Tobit regression, censored least absolute deviation, mixture beta regression, adjusted limited dependent variable mixture, the two-part, and robust MM-estimator model. Root mean squared error (RMSE), mean absolute error (MAE), and R-square (R²) calculated using the tenfold cross-validation and random sample validation methods were used to assess the predictive ability of the models.

RESULTS

Based on RMSE, MAE, and R², the mixture beta regression model with selected Haem-A-QoL subscale scores as the predicted variables showed the best performance.

CONCLUSIONS

Our mapping algorithm bolsters the calculation of QALYs while conducting an economic evaluation of hemophilia-related interventions when only Haem-A-QoL data are available. The external validity of the algorithm should be further assessed in the other populations.

Belantamab mafodotin for the treatment of relapsed/refractory multiple myeloma in heavily pretreated patients: a US cost-effectiveness analysis

BACKGROUND

Patients with relapsed/refractory multiple myeloma (RRMM) require several lines of therapy, with typically shorter remission duration with each additional line.

RESEARCH DESIGN AND METHODS

The cost-effectiveness of belantamab mafodotin (belamaf; DREAMM-2; NCT03525678) was compared with selinexor plus dexamethasone (SEL+DEX; STORM Part 2; NCT02336815) among patients with RRMM who have received at least four prior therapies. The base case used a US commercial payer's perspective over a 10-year time horizon. Efficacy data were based on parametric survival analysis of DREAMM-2 and matching-adjusted indirect treatment comparison between DREAMM-2 and STORM Part 2, which assessed relative treatment effects between belamaf and SEL+DEX. Cost inputs included drug treatment, concomitant medications, adverse event management, subsequent treatments, and disease management.

RESULTS

Belamaf decreased total treatment costs per patient by $14,267 and increased patient life years by 0.74 and quality-adjusted life years (QALYs) by 0.49 versus SEL+DEX. Patients receiving belamaf accrued 0.12 fewer progression-free life years versus patients on SEL+DEX.

CONCLUSIONS

From a US commercial payer's perspective, belamaf had lower costs, and increased QALYs and life-year gain, compared with SEL+DEX. Belamaf is therefore likely to be a cost-effective treatment option for patients with RRMM who have received four or more prior lines of therapy.

Cost-Effectiveness of Post-Autotransplant Lenalidomide in Persons with Multiple Myeloma

Considerable data indicate post-transplant lenalidomide prolongs progression-free survival and probably survival after an autotransplant for multiple myeloma (MM). However, optimal therapy duration is unknown, controversial and differs in the EU and US. We compared outcomes and cost-effectiveness of 3 post-transplant lenalidomide strategies in EU and US settings: (1) none; (2) until failure; and (3) 2-year fixed duration. We used a Markov decision model, which included six health states and informed by published data. The model estimated the lenalidomide strategy given to failure achieved 1.06 quality-adjusted life years (QALYs) at costs per QALY gained of €29,232 in the EU and $133,401 in the US settings. Two-year fixed-duration lenalidomide averted €7,286 per QALY gained in the EU setting and saved 0.84 QALYs at $60,835 per QALY gained in the US setting. These highly divergent costs per QALY in the EU and US settings resulted from significant differences in post-transplant lenalidomide costs and 2nd-line therapies driven by whether post-transplant failure was on or off-lenalidomide. In Monte Carlo simulation analyses which allowed us to account for the variability of inputs, 2-year fixedduration lenalidomide remained the preferred strategy for improving healthcare sustainability in the EU and US settings.

Mapping expanded prostate cancer index composite to EQ5D utilities to inform economic evaluations in prostate cancer: Secondary analysis of NRG/RTOG 0415

PURPOSE

The Expanded Prostate Cancer Index Composite (EPIC) is the most commonly used patient reported outcome (PRO) tool in prostate cancer (PC) clinical trials, but health utilities associated with the different health states assessed with this tool are unknown, limiting our ability to perform cost-utility analyses. This study aimed to map EPIC tool to EuroQoL-5D-3L (EQ5D) to generate EQ5D health utilities.

METHODS AND MATERIALS

This is a secondary analysis of a prospective, randomized non-inferiority clinical trial, conducted between 04/2006 and 12/2009 at cancer centers across the United States, Canada, and Switzerland. Eligible patients included men >18 years with a known diagnosis of low-risk PC. Patient HRQoL data were collected using EPIC and health utilities were obtained using EQ5D. Data were divided into an estimation sample (n = 765, 70%) and a validation sample (n = 327, 30%). The mapping algorithms that capture the relationship between the instruments were estimated using ordinary least squares (OLS), Tobit, and two-part models. Five-fold cross-validation (in-sample) was used to compare the predictive performance of the estimated models. Final models were selected based on root mean square error (RMSE).

RESULTS

A total of 565 patients in the estimation sample had complete information on both EPIC and EQ5D questionnaires at baseline. Mean observed EQ5D utility was 0.90±0.13 (range: 0.28-1) with 55% of patients in full health. OLS models outperformed their counterpart Tobit and two-part models for all pre-determined model specifications. The best model fit was: "EQ5D utility = 0.248541 + 0.000748*(Urinary Function) + 0.001134*(Urinary Bother) + 0.000968*(Hormonal Function) + 0.004404*(Hormonal Bother)- 0.376487*(Zubrod) + 0.003562*(Urinary Function*Zubrod)"; RMSE was 0.10462.

CONCLUSIONS

This is the first study to identify a comprehensive set of mapping algorithms to generate EQ5D utilities from EPIC domain/ sub-domain scores. The study results will help estimate quality-adjusted life-years in PC economic evaluations.

Bone Pain in Multiple Myeloma (BPMM)-A Protocol for a Prospective, Longitudinal, Observational Study

Simple Summary

Multiple myeloma is a bone marrow cancer that often causes bone pain, but little is known about the pain characteristics and mechanisms in this condition. This clinical study aims to: 1. characterize the type, location and intensity of pain in myeloma patients, and its effect of quality of life, and 2. investigate whether the nerve fibers in the bone of myeloma patients are altered. We will also explore whether pain intensity is correlated to blood indicators of inflammation or bone damage. Study results will help identify the mechanisms of myeloma-induced bone pain, allowing the development of new analgesics for these patients.

Abstract

Multiple myeloma (MM) is a bone marrow neoplasia that causes bone pain in 70% patients. While preclinical models of MM have suggested that both nerve sprouting and nerve injury may be causative for the pain, there is a lack of clinical data. Thus, the primary aims of this clinical study are: (1) to provide a deep characterization of the subjective experience of pain and quality of life in MM patients; (2) to investigate disturbances in the bone innervation of MM patients. Secondary aims include exploring correlations between pain and serum inflammatory and bone turnover biomarkers. In a prospective, observational study (clinicaltrials.gov: NCT04273425), patients with suspected MM requiring a diagnostic iliac crest biopsy at Sheffield Teaching Hospital (UK) are invited to participate. Consenting patients answer seven standardized questionnaires assessing pain, quality of life and catastrophizing. Bone turnover biomarkers and inflammatory cytokines are measured in fasting serum samples, and bone innervation is evaluated in diagnostic biopsies. MM patients are invited to a follow-up upon completion of first line treatment. This will be the first deep characterization of pain in MM patients and its correlation with disturbances in bone innervation. Understanding how bone turnover and inflammation correlate to pain in MM is crucial to identify novel analgesic targets for this condition.

Mapping of the EORTC QLQ-C30 to EQ-5D-5L index in patients with lymphomas

OBJECTIVE

The objective of this study was to develop algorithms to map the EORTC QLQ-C30 (QLQ-C30) onto EQ-5D-5L in a sample of patients with lymphomas.

METHODS

An online nationwide survey of patients with lymphoma was carried out in China. Ordinary least squares (OLS), beta-based mixture, adjusted limited dependent variable mixture regression, and a Tobit regression model were used to develop the mapping algorithms. The QLQ-C30 subscales/items, their squared and interaction terms, and respondents' demographic variables were used as independent variables. The root mean square error (RMSE), mean absolute error (MAE), and R-squared (R²) were estimated based on tenfold cross-validation to assess the predictive ability of the selected models.

RESULTS

Data of 2222/4068 respondents who self-completed the online survey were elicited for analyses. The mean EQ-5D-5L index score was 0.81 (SD 0.21, range - 0.81-1.0). 19.98% of respondents reported an index score at 1.0. In total, 72 models were generated based on four regression methods. According to the RMSE, MAE and R², the OLS model including QLQ-C30 subscales, squared terms, interaction terms, and demographic variables showed the best fit for overall and the Non-Hodgkin's lymphoma sample; for Hodgkin's lymphoma, the ALDVMM with 1-component model, including QLQ-C30 subscales, squared terms, interaction terms, and demographic variables, showed a better fit than the other models.

CONCLUSION

The mapping algorithms enable the EQ-5D-5L index scores to be predicted by QLQ-C30 subscale/item scores with good precision in patients living with lymphomas.

Mapping EORTC-QLQ-C30 and QLQ-CR29 onto EQ-5D-5L in Colorectal Cancer Patients

PURPOSE

Patient-level utility data are needed for cost-utility analysis; in oncology, however, the data are commonly gathered using disease-specific questionnaires that are often not appropriate. Present study aimed to derive an algorithm which can map the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30 (EORTC QLQ-C30) scales and the Colorectal Cancer-Specific Quality Of Life Questionnaire (QLQ-CR29) scales onto the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) values in patients with colorectal cancer (CRC).

METHODS

Using the Ordinary Least Square (OLS) model, a cross-sectional dataset of 252 patients with CRC were gathered from three academic centers of cancer treatment in Tehran in 2017. The predicted R² (Pred R²) and adjusted R² (Adj R²) are used to evaluate model goodness of fit. Additionally, mean absolute error (MAE), root mean square error (RMSE), Spearman's correlation coefficients (ρ), and intraclass correlation (ICC) are applied to assess predictive ability of models. The tenfold cross-validation procedure was applied for validation models.

RESULTS

According to the results of our study, the model C4 from EORTC QLQ-C30 was the best predictive model (Pred R² = 66.57%, Adj R² = 67.67%, RMSE = 0.10173, MAE = 0.07840). Also, the model R4 from QLQ-CR29 performed the best for EQ-5D-5L (Adj R2 = 48.42%, Pred R² = 45.54%, MAE = 0.10051, RMSE = 0.12997).

CONCLUSIONS

The mapping algorithm successfully mapped the EORTC QLQ-C30 and QLQ-CR29 scales onto the EQ-5D-5L values; therefore, it enables policymakers to convert cancer-specific questionnaires scores to the preference-based scores.

Cost-effectiveness analysis of voice rehabilitation for patients with laryngeal cancer: a randomized controlled study

INTRODUCTION

Voice problems are common following radiotherapy for laryngeal cancer. Few studies exist covering the effect of voice rehabilitation, and no previous studies exist regarding the cost of said rehabilitation. This randomized controlled study aimed to analyze the cost-effectiveness of voice rehabilitation after radiotherapy for patients with laryngeal cancer.

MATERIAL AND METHODS

A total of 66 patients with laryngeal cancer with follow-up data 12 months post-radiotherapy were included. Patients were randomized into receiving either voice rehabilitation (n = 32) or no voice rehabilitation (n = 34). The patient outcome was measured as quality-adjusted life years (QALYs). The index range between 0 and 1, where 0 equals death and 1 represents perfect health. The QALYs were assessed with the European Organization for Research and Treatment of Cancer questionnaire QLQ-C30 mapped to EuroQoL 5 Dimension values. The cost of rehabilitation and other healthcare visits was derived from hospital systems. The patients reported the total amount of sick leave days during the first 12 months following radiotherapy. The cost-effectiveness of the voice rehabilitation was compared with no rehabilitation intervention based on the incremental cost-effectiveness ratio.

RESULTS

The cost per gained QALY with voice rehabilitation compared to no rehabilitation from a societal perspective was - 27,594 € (SEK - 250,852) which indicates that the voice rehabilitation is a cost-saving alternative compared to no rehabilitation due to lower costs and a slightly better health outcome. From a healthcare perspective, the voice rehabilitation indicates a cost 60,800 € (SEK 552,725) per gained QALY.

CONCLUSION

From a societal perspective, i.e., including the costs of production loss, voice rehabilitation compared to no voice rehabilitation following radiotherapy for laryngeal cancer seems to be cost-saving. When analyzing only the healthcare costs in relation to health outcomes, voice rehabilitation indicates an incremental cost of 60,800 € per gained QALY, which is just above the threshold of the maximum willingness to pay level.

EQ-5D-Derived Health State Utility Values in Hematologic Malignancies: A Catalog of 796 Utilities Based on a Systematic Review

OBJECTIVES

We performed a systematic review of health state utility values (HSUVs) obtained using the EQ-5D questionnaire for patients with hematologic malignancies.

METHODS

The following databases were searched up to September 2018: MEDLINE, EMBASE, The Cochrane Library, and the EQ-5D publications database on the EuroQol website. Additional references were extracted from reviewed articles. Only studies presenting EQ-Index results were incorporated. In view of the heterogeneity across the included publications, we limited ourselves to a narrative synthesis of original HSUVs found.

RESULTS

Fifty-nine studies (described in 63 articles) met the inclusion criteria. Data from 21 635 respondents provided 796 HSUV estimates for hematologic malignancy patients. EQ-Index scores ranged from -0.025 to 0.980. The most represented area was multiple myeloma (4 studies, 11 112 patients, and 249 HSUVs). In clinical areas such as chronic myeloid leukemia, acute myeloid leukemia, chronic lymphocytic leukemia, non-Hodgkin lymphoma, and mantle cell lymphoma, we described over 50 health utilities in each. In contrast, we identified only 13 HSUVs (based on 4 studies and the data of 166 patients) for Hodgkin lymphoma. Areas without EQ-5D-based health utilities comprised: polycythemia vera, primary myelofibrosis, essential thrombocythemia, mastocytosis, myeloid sarcoma, chronic myelomonocytic, eosinophilic leukemia, and neutrophilic leukemia.

CONCLUSIONS

There is a wide range of HSUVs available for hematologic cancer patients with different indications. The review provides a catalog of utility values for use in cost-effectiveness models for hematologic malignancies.

'Mapping' Health State Utility Values from Non-preference-Based Measures: A Systematic Literature Review in Rare Diseases

BACKGROUND

The use of patient-reported outcome measures (PROMs) to monitor the effects of disease and treatment on patient symptomatology and daily life is increasing in rare diseases (RDs) (i.e. those affecting less than one in 2000 people); however, these instruments seldom yield health state utility values (HSUVs) for cost-utility analyses. In such a context, 'mapping' allows HSUVs to be obtained by establishing a statistical relationship between a 'source' (e.g. a disease-specific PROM) and a 'target' preference-based measure [e.g. the EuroQol-5 Dimension (EQ-5D) tool].

OBJECTIVE

This study aimed to systematically review all published studies using 'mapping' to derive HSUVs from non-preference-based measures in RDs, and identify any critical issues related to the main features of RDs, which are characterised by small, heterogeneous, and geographically dispersed patient populations.

METHODS

The following databases were searched during the first half of 2019 without time, study design, or language restrictions: MEDLINE (via PubMed), the School of Health and Related Research Health Utility Database (ScHARRHUD), and the Health Economics Research Centre (HERC) database of mapping studies (version 7.0). The keywords combined terms related to 'mapping' with Orphanet's list of RD indications (e.g. 'acromegaly') in addition to 'rare' and 'orphan'. 'Very rare' diseases (i.e. those with fewer than 1000 cases or families documented in the medical literature) were excluded from the searches. A predefined, pilot-tested extraction template (in Excel^®) was used to collect structured information from the studies.

RESULTS

Two groups of studies were identified in the review. The first group (n = 19) developed novel mapping algorithms in 13 different RDs. As a target measure, the majority used EQ-5D, and the others used the Short-Form Six-Dimension (SF-6D) and 15D; most studies adopted ordinary least squares (OLS) regression. The second group of studies (n = 9) applied previously published algorithms in non-RDs to comparable RDs, mainly in the field of cancer. The critical issues relating to 'mapping' in RDs included the availability of very few studies, the relatively high number of cancer studies, and the absence of research in paediatric RDs. Moreover, the reviewed studies recruited small samples, showed a limited overlap between RD-specific and generic PROMs, and highlighted the presence of cultural and linguistic factors influencing results in multi-country studies. Lastly, the application of existing algorithms developed in non-RDs tended to produce inaccuracies at the bottom of the EQ-5D scale, due to the greater severity of RDs.

CONCLUSIONS

More research is encouraged to develop algorithms for a broader spectrum of RDs (including those affecting young children), improve mapping study quality, test the generalisability of algorithms developed in non-RDs (e.g. HIV) to rare variants or evolutions of the same condition (e.g. AIDS wasting syndrome), and verify the robustness of results when mapped HSUVs are used in cost-utility models.

Symptom burden and its functional impact in patients with "symptomatic" relapsed or refractory multiple myeloma

PURPOSE

Relapsed or refractory multiple myeloma (RRMM) is labeled "symptomatic" based on laboratory values, but not relevant to quantitative measure of patient's perspectives. This study aimed to describe symptom burden, health status, and quality of life in RRMM patients.

METHODS

The cross-sectional study included 184 MM patients (141 RRMM cases and 43 MM patients on follow-up without diagnosis/treatment of RRMM disease as controls), while 64 RRMM patients also provided longitudinal patient-reported outcomes (PROs) data. Symptomatic status was based on clinical measures of disease activity. PROs included the MD Anderson Symptom Inventory multiple myeloma module (MDASI-MM), single-item quality of life (SIQOL), and EuroQol-5D (EQ-5D). Wilcoxon rank test and effect size were used for comparisons. Regression models were used to describe symptom trajectory and to identify predictors of high symptom burden during 3 months of RRMM therapy.

RESULTS

Most patients were clinically identified as symptomatic (93%). RRMM patients tended to report more severe symptoms, with significantly lower QOL scores and more severe fatigue, poor appetite, and lower enjoyment of life compared with controls (all p < 0.05). In RRMM patients, lower hemoglobin and higher B-2 microglobulin levels significantly correlated with higher burdens of fatigue, pain, and muscle weakness and also with lower QOL and EQ-5D scores (all p < 0.05). During RRMM therapy, being female, with any comorbidity, ≥ 65 years old, and ≥ 5 years MM history, contributed to high symptoms burden and poor QOL status (each p < 0.05).

CONCLUSIONS

MDASI-MM modules were sensitive to detect the RRMM-related symptoms burden, which correlated with objective clinical measures. RRMM patients reported a more compromised QOL.

Challenges in the cultural adaptation of the German Myeloma Patient Outcome Scale (MyPOS): an outcome measure to support routine symptom assessment in myeloma care

BACKGROUND

Patients with multiple myeloma report more problems with quality of life (QoL) than other haematological malignancies over the course of their incurable illness. The patient-centred Myeloma Patient Outcome Scale (MyPOS) was developed to assess and monitor symptoms and supportive care factors in routine care. Our aim was to translate and culturally adapt the outcome measure to the German context, and to explore its face and content validity.

METHODS

Translation and cultural adaptation following established guidelines used an exploratory, sequential mixed method study design. Steps included: (1) forward translation to German; (2) backward translation to English; (3) expert review; (4) focus groups with the target population (patients, family members, healthcare professionals) to achieve conceptual equivalence; (5) cognitive interviews using Tourangeau's model with think-aloud technique to evaluate comprehension and acceptability; (6) final review. Results were analysed using thematic analysis.

RESULTS

Cultural and linguistic differences were noted between the German and English original version. The focus groups (n = 11) and cognitive interviews (n = 9) both highlighted the need for adapting individual items and their answer options to the German healthcare context. Greater individuality regarding need for information with the right to not be informed was elaborated by patients. While the comprehensive nature of the tool was appreciated, item wording regarding satisfaction with healthcare was deemed not appropriate in the German context. Before implementation into routine care, patients' concerns about keeping their MyPOS data confidential need to be addressed as a barrier, whereas the MyPOS itself was perceived as a facilitator/prompt for a patient-centred discussion of QoL issues.

CONCLUSION

With adaptations to answer options and certain items, the German version of the MyPOS can help monitor symptoms and problems afflicting myeloma patients over the course of the disease trajectory. It can help promote a model of comprehensive supportive and patient-centred care for these patients.

Mapping the EORTC QLQ-C30 and QLQ-H&N35 to the EQ-5D for head and neck cancer: Can disease-specific utilities be obtained?

Introduction

Innovations in head and neck cancer (HNC) treatment are often subject to economic evaluation prior to their reimbursement and subsequent access for patients. Mapping functions facilitate economic evaluation of new treatments when the required utility data is absent, but quality of life data is available. The objective of this study is to develop a mapping function translating the EORTC QLQ-C30 to EQ-5D-derived utilities for HNC through regression modeling, and to explore the added value of disease-specific EORTC QLQ-H&N35 scales to the model.

Methods

Data was obtained on patients with primary HNC treated with curative intent derived from two hospitals. Model development was conducted in two phases: 1. Predictor selection based on theory- and data-driven methods, resulting in three sets of potential predictors from the quality of life questionnaires; 2. Selection of the best out of four methods: ordinary-least squares, mixed-effects linear, Cox and beta regression, using the first set of predictors from EORTC QLQ-C30 scales with most correspondence to EQ-5D dimensions. Using a stepwise approach, we assessed added values of predictors in the other two sets. Model fit was assessed using Akaike and Bayesian Information Criterion (AIC and BIC) and model performance was evaluated by MAE, RMSE and limits of agreement (LOA).

Results

The beta regression model showed best model fit, with global health status, physical-, role- and emotional functioning and pain scales as predictors. Adding HNC-specific scales did not improve the model. Model performance was reasonable; R² = 0.39, MAE = 0.0949, RMSE = 0.1209, 95% LOA of -0.243 to 0.231 (bias -0.01), with an error correlation of 0.32. The estimated shrinkage factor was 0.90.

Conclusions

Selected scales from the EORTC QLQ-C30 can be used to estimate utilities for HNC using beta regression. Including EORTC QLQ-H&N35 scales does not improve the mapping function. The mapping model may serve as a tool to enable cost-effectiveness analyses of innovative HNC treatments, for example for reimbursement issues. Further research should assess the robustness and generalizability of the function by validating the model in an external cohort of HNC patients.

Pomalidomide-Responsive Extramedullary Myeloma Relapsed after Allogeneic Hematopoietic Transplant and Refractory to Multiple Lines of Chemotherapy

Patients who experience extramedullary relapses (EMR) of multiple myeloma (MM) have an adverse prognosis, also in this era of novel agents like proteasome inhibitors and immunomodulatory drugs. We describe the case of an MM patient with EMR at 2 different sites after allogeneic stem cell transplantation. EMR was refractory to bortezomib, anthracycline, and bendamustine, but the patient achieved long-term complete remission (4 years) with pomalidomide and dexamethasone. This supports the hypothesis that this could be due to the graft-versus-myeloma effect during therapy enhanced by pomalidomide.

German value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30

PURPOSE

The EORTC QLU-C10D is a new multi-attribute utility instrument derived from the EORTC QLQ-C30, a widely used cancer-specific quality of life questionnaire. It covers ten dimensions: physical, role, social, emotional functioning, pain, fatigue, sleep, appetite, nausea, and bowel problems. To allow national health attitudes to be reflected, country-specific valuations are being performed by collaboration of the Multi-Attribute Utility Cancer (MAUCa) Consortium and the EORTC. The purpose of this paper is to provide German value sets (utility weights) for the QLU-C10D.

METHODS

Valuations were run in a web-based setting in two general population samples of approximately 2000 adults in total. As the German version of the QLQ-C30 is presently undergoing a revision of the wording of one response category, valuations for both the current and the new version were performed (Germany 1 and 2). Utilities were elicited using a discrete choice experiment (DCE). Data were analyzed by conditional logistic regression and mixed logits.

RESULTS

Completion rates were 88.3% (1002/1135) and 90.4% (1016/1124) for Germany 1 and Germany 2 valuations, respectively. Dimensions with the largest impact on utility weights were, in this order: physical functioning, pain, role functioning, social functioning and nausea (same ordering for both German versions). Several violations of the logical ordering of levels were observed for Germany 1; this was largely improved for Germany 2.

CONCLUSION

This study established German utility weights for the cancer-specific utility instrument QLU-C10D.

Converting EORTC QLQ-C30 scores to utility scores in the brigatinib ALTA study

Aims: Health utilities summarize a patient's overall health status. This study estimated utilities based on the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core-30 (QLQ-C30), a widely used measure of health-related quality-of-life (HRQoL) in oncology, using published mapping algorithms. Materials and methods: Data were from the Anaplastic Lymphoma Kinase (ALK) in Lung Cancer Trial of brigatinib (ALTA; NCT02094573), an open-label, international, phase 2 study. ALTA evaluated the efficacy and safety of two randomized dosing regimens of brigatinib in patients with locally advanced or metastatic ALK + non-small cell lung cancer (NSCLC) that had progressed on prior therapy with crizotinib. QLQ-C30 scores were mapped to European Quality-of-Life-5 Dimensions (EQ-5D) utility scores using two published algorithms (Khan et al. for EQ-5D-5L; Longworth et al. for EQ-5D-3L). The impact of brigatinib treatment on health utilities over time was assessed. Results: The analysis included 208 subjects. Mean baseline utility scores for both algorithms ranged between 0.60 - 0.71 and increased to 0.78 by cycle 5. Utility improvements were sustained during most of the treatment, before disease progression. Minor variations were observed between utility scores; Khan et al. estimates were approximately 0.01 or 0.02 points lower than Longworth et al. estimates. Limitations: Algorithms considered were limited to those available in the published literature at the time of the study. This utility analysis was exploratory, and the ALTA trial did not include an internal control group (i.e. standard of care) and was not powered to detect differences in QoL/utility outcomes between treatment arms. Conclusions: Converting QLQ-C30 scores into utilities in trials using established mapping algorithms can improve evaluation of medicines from the patient perspective. Both algorithms suggested that brigatinib improved health utility in crizotinib-refractory ALK + NSCLC patients, and improvements were maintained during most of the treatment. Clinicaltrials.gov identifier: NCT02094573.

Cost-effectiveness of lenalidomide plus low-dose dexamethasone for newly diagnosed multiple myeloma patients ineligible for stem cell transplantation in China

Aim: To assess the cost-effectiveness of lenalidomide plus low dose dexamethasone (Rd) relative to bortezomib-contained therapy (BCT) for newly diagnosed multiple myeloma patients ineligible for stem cell transplantation (ndMM) in China. Materials & methods: A literature review was conducted to identify appropriate evidence for developing a cost-effectiveness model comparing Rd with BCT for lifetime health outcomes and direct medical costs in Chinese ndMM patients. Results: The estimated incremental cost-effectiveness ratio per gained quality-adjusted life years for Rd versus BCT was ¥49,793. The chance for Rd to be cost effective, under the cost-effectiveness thresholds of three-times the 2018 Chinese gross domestic goods per capita, was 90.8%. Conclusion: The cost-effectiveness of Rd relative to BCT for ndMM in Chinese patients is highly attractive.

An Updated Systematic Review of Studies Mapping (or Cross-Walking) Measures of Health-Related Quality of Life to Generic Preference-Based Measures to Generate Utility Values

BACKGROUND

Mapping is an increasingly common method used to predict instrument-specific preference-based health-state utility values (HSUVs) from data obtained from another health-related quality of life (HRQoL) measure. There have been several methodological developments in this area since a previous review up to 2007.

OBJECTIVE

To provide an updated review of all mapping studies that map from HRQoL measures to target generic preference-based measures (EQ-5D measures, SF-6D, HUI measures, QWB, AQoL measures, 15D/16D/17D, CHU-9D) published from January 2007 to October 2018.

DATA SOURCES

A systematic review of English language articles using a variety of approaches: searching electronic and utilities databases, citation searching, targeted journal and website searches.

STUDY SELECTION

Full papers of studies that mapped from one health measure to a target preference-based measure using formal statistical regression techniques.

DATA EXTRACTION

Undertaken by four authors using predefined data fields including measures, data used, econometric models and assessment of predictive ability.

RESULTS

There were 180 papers with 233 mapping functions in total. Mapping functions were generated to obtain EQ-5D-3L/EQ-5D-5L-EQ-5D-Y (n = 147), SF-6D (n = 45), AQoL-4D/AQoL-8D (n = 12), HUI2/HUI3 (n = 13), 15D (n = 8) CHU-9D (n = 4) and QWB-SA (n = 4) HSUVs. A large number of different regression methods were used with ordinary least squares (OLS) still being the most common approach (used ≥ 75% times within each preference-based measure). The majority of studies assessed the predictive ability of the mapping functions using mean absolute or root mean squared errors (n = 192, 82%), but this was lower when considering errors across different categories of severity (n = 92, 39%) and plots of predictions (n = 120, 52%).

CONCLUSIONS

The last 10 years has seen a substantial increase in the number of mapping studies and some evidence of advancement in methods with consideration of models beyond OLS and greater reporting of predictive ability of mapping functions.

Cost-effectiveness of lenalidomide maintenance in patients with multiple myeloma who have undergone autologous transplant of hematopoietic progenitor cells

The objective of this article is to analyze the ratio of cost-effectiveness and budgetary impact of lenalidomide treatment in patients with multiple myeloma who have undergone autologous transplant in Spain. The analyses were based on clinical trials CALGB 100104 and IFM 2005-02, from the perspective of the National Health System. The alternatives compared were the treatment with lenalidomide against maintenance without treatment (MwT). Efficiency measures used were years of life gained (YGs) and quality-adjusted life years (QALYs). According to the CALGB 100104 trial data, the average health costs of patients who were treated with lenalidomide for 120 months was €836,534.31 and without treatment was €528,963.63. The effectiveness of the lenalidomide group was 7.59YGs (5.72 QALY) against 6.58 of MwT (4.61 QALY). The incremental cost-utility ratio (ICUR) was €277,456.72/QALY and the incremental cost-effectiveness ratio was €303,191.05/YGs. From the analysis, the IFM2005-02 trial obtained 5.13 QALY in the lenalidomide group against the 4.98 QALY in the MwT group, with an ICUR of €1,502,780.55/QALY. In terms of budgetary impact, a range between 799 and 1452 patients susceptible to receive treatment with lenalidomide was assumed in Spain. In conclusion, the results show a high ICUR and budgetary impact, which adds uncertainty about the maximum prudent duration of the treatment.

Frequentist and Bayesian meta-regression of health state utilities for multiple myeloma incorporating systematic review and analysis of individual patient data

This analysis presents the results of a systematic review for health state utilities in multiple myeloma, as well as analysis of over 9,000 observations taken from registry and trial data. The 27 values identified from 13 papers are then synthesised in a frequentist nonparametric bootstrap model and a Bayesian meta-regression. Results were similar between the frequentist and Bayesian models with low utility on disease diagnosis (approximately 0.55), raising to approximately 0.65 on first line treatment and declining slightly with each subsequent line. Stem cell transplant was also found to be a significant predictor of health-related quality of life in both individual patient data and meta-regression, with an increased utility of approximately 0.06 across different models. The work presented demonstrates the feasibility of Bayesian methods for utility meta-regression, whilst also presenting an internally consistent set of data from the analysis of registry data. To facilitate easy updating of the data and model, data extraction tables and model code are provided as Data S1. The main limitations of the model relate to the low number of studies available, particularly in highly pretreated patients.

Mapping health-related quality of life scores from FACT-G, FAACT, and FACIT-F onto preference-based EQ-5D-5L utilities in non-small cell lung cancer cachexia

BACKGROUND

Health-related quality of life (HRQoL) measurements from disease-specific tools cannot be directly used in economic evaluations. This study aimed to develop and validate mapping algorithms that predicted EuroQol 5-Dimensions 5-Levels (EQ-5D-5L) utilities from Functional Assessment of Anorexia-Cachexia Therapy (FAACT) and Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) and their common component (Functional Assessment of Cancer Therapy-General-FACT-G) in patients with non-small cell lung cancer cachexia.

METHODS

Data were collected on five occasions over a 12-week period in two multicenter placebo-controlled trials. EQ-5D-5L utilities were calculated using both English and Dutch value sets. The study sample was divided into development and validation datasets according to patients' geographical residence. Generalized estimating equations were applied to five different sets of independent variables including overall, Trial Outcome Index (TOI), and individual subscales results. The best performing models were selected based on mean absolute error (MAE) and root-mean square error (RMSE).

RESULTS

EQ-5D-5L and FAACT/FACIT-F results were available for 96 patients. The developed algorithms showed a good predictive performance, with acceptable MAE/RMSE and small differences between mean observed and predicted EQ-5D-5L utilities. In FACT-G models, Physical Well-Being had the highest explanatory value, while Emotional Well-Being did not significantly affect the EQ-5D-5L score; Anorexia-Cachexia and Fatigue subscales were highly statistically significant in FAACT and FACIT-F models, respectively, as well as the TOI scores. The Eastern Cooperative Oncology Group status was included as covariate in all models.

CONCLUSION

The developed algorithms enable the estimation of EQ-5D-5L utilities from three cancer-specific instruments when preference-based HRQoL data are missing.

Mapping the EORTC-QLQ-C30 to the EQ-5D-3L: An Assessment of Existing and Newly Developed Algorithms

Objectives. To assess the external validity of mapping algorithms for predicting EQ-5D-3L utility values from EORTC QLQ-C30 responses not previously validated and to assess whether statistical models not previously applied are better suited for mapping the EORTC QLQ-C30 to the EQ-5D-3L. Methods. In total, 3866 observations for 1719 patients from a longitudinal study (Cancer 2015) were used to validate existing algorithms. Predictive accuracy was compared to previously validated algorithms using root mean squared error, mean absolute error across the EQ-5D-3L range, and for 10 tumor-type specific samples as well as using differences between estimated quality-adjusted life years. Thirteen new algorithms were estimated using a subset of the Cancer 2015 data (3203 observations for 1419 patients) applying various linear, response mapping, beta, and mixture models. Validation was performed using 2 data sets composed of patients with varying disease severity not used in the estimation and all available algorithms ranked on their performance. Results. None of the 5 existing algorithms offer an improvement in predictive accuracy over preferred algorithms from previous validation studies. Of the newly estimated algorithms, a 2-part beta model performed the best across the validation criteria and in data sets composed of patients with different levels of disease severity. Validation results did, however, vary widely between the 2 data sets, and the most accurate algorithm appears to depend on health state severity as the distribution of observed EQ-5D-3L values varies. Linear models performed better for patients in relatively good health, whereas beta, mixture, and response mapping models performed better for patients in worse health. Conclusion. The most appropriate mapping algorithm to apply in practice may depend on the disease severity of the patient sample whose utility values are being predicted.

Mapping the cancer-specific QLQ-C30 onto the generic EQ-5D-5L and SF-6D in colorectal cancer patients

INTRODUCTION

Economic evaluation of healthcare interventions usually needs accurate data on utility and health-related quality-of-life scores. The aim of this study is to map QLQ-C30 scale score onto EQ-5D-5L and SF-6D utility values in colorectal cancer (CRC) patients.

METHODS

EQ-5D-5L, SF-6D, and QLQ-C30 were completed by 252 patients with CRC who were referred to three cancer centers in Tehran between May and September 2017. Moreover, OLS, Tobit, and CLAD models were used to predict EQ-5D-5L and SF-6D values. The goodness of fit of models was evaluated using Pred R² and Adj R². In addition, their predictive performance was assessed by MAE, RMSE, ICC, MID, and Spearman's correlation coefficients between observed and predicted EQ-5D-5L and SF-6D values. Models were validated using a 10-fold cross-validation method.

RESULTS

Considering the goodness of fit and predictive ability of models, the OLS Model 2 performed best for EQ-5D-5L (Adj R² = 58.09%, Pred R² = 58.93%, MAE = 0.0932, RMSE = 0.129) and the OLS Model 3 performed best for SF-6D (Adj R² = 54.90%, Pred R² = 55.62%, MAE = 0.0485, RMSE = 0.0634).

CONCLUSION

Our results demonstrated that algorithms developed based on OLS Models 1 and 2 are the best for predicted EQ-5D-5L and SF-6D values, respectively.

Systematic reviews of economic burden and health-related quality of life in patients with acute myeloid leukemia

BACKGROUND

Acute myeloid leukemia (AML) is a rare hematologic malignancy largely affecting older adults. Comorbidities may compromise fitness and eligibility for high-intensity chemotherapy (HIC). This study presents the results of two systematic reviews (SRs) assessing (1) the impact of AML and current treatments on health-related quality of life (HRQoL), and (2) the economic burden and cost drivers of AML in patients who are ineligible for HIC.

METHODS

Electronic searches (MEDLINE, EMBASE, EconLit, Cochrane library) were supplemented with manual searching of conference, utility, and HTA databases. All studies reporting HRQoL or economic data for patients with AML who were ineligible for HIC were included.

RESULTS

The HRQoL SR included ten studies. Patients with AML have lower baseline HRQoL than other cancer patients or the general population, and those receiving lower intensity treatment have lower HRQoL than those eligible for HIC. Low baseline HRQoL predicts poor outcomes, and treatment had variable effects on HRQoL. The economic burden SR included nine studies. Medical costs varied widely, reflecting the heterogeneity of AML. Hospitalization is a key cost driver in AML treatment but was largely not considered in cost studies. Medical resource utilization comprised drug acquisition, drug administration, disease monitoring tests, transfusions, adverse event management, supportive care/monitoring costs and terminal care.

CONCLUSION

As new drugs emerge that extend survival, assessment of HRQoL will be important to evaluate the quality of that survival. Cost data, driven by transfusions and hospitalization, will be important to evaluate the economic value of new treatments.

Cost-effectiveness of carfilzomib plus dexamethasone compared with bortezomib plus dexamethasone for patients with relapsed or refractory multiple myeloma in the United States

BACKGROUND

We assessed the economic value of carfilzomib 56 mg/m² and dexamethasone (Kd56) vs. bortezomib and dexamethasone (Vd) for relapsed/refractory multiple myeloma (R/RMM) using ENDEAVOR trial results.

METHODS

Cost-effectiveness of Kd56 vs. Vd was assessed using a partitioned survival model by estimating progression-free survival, overall survival, and direct costs over a lifetime horizon. Surveillance Epidemiology and End Results (SEER) survival data were extrapolated after matching registry and ENDEAVOR patients. Utilities were sourced from the literature and mapped from patient-reported quality of life in ENDEAVOR to estimate quality-adjusted life-years (QALYs) from life-years (LYs).

RESULTS

The model predicted an average gain of 1.66 LYs and 1.50 QALYs with Kd56 vs. Vd, and lifetime additional costs of $182,699, resulting in an incremental cost-effectiveness ratio (ICER) of $121,828/QALY gained. The ICER was $114,793/QALY in patients with 1 prior treatment; $99,263/QALY in those not transplanted, and <$150,000/QALY up to an 85% discount in bortezomib price.

CONCLUSIONS

Kd56 is cost-effective for patients with R/RMM at a willingness-to-pay threshold of $150,000/QALY. Trial data in the model may limit generalizability; however, SEER registry data mitigates this challenge. Kd56 provides additional value in key subgroups, and remains cost-effective after steep comparator discounts.

The Development of Quality of Life Questionnaire for Indonesian Breast Cancer Patients: INA-BCHRQoL

Introduction:

The breast cancer related incidence and mortality rate in Indonesia are included in the top 10 and top 5 highest in the world. A country-specific Health Related Quality of Life measurement tool is required to help clinician observe and improve the management of the disease.

Methods:

We developed the questionnaire, namely Indonesian Breast Cancer Health Related Quality of Life (INA-BCHRQoL) by incorporating not only the generic variables such as physical, psychological, and social; but also spiritual variable which is suitable for Indonesian population. The questionnaire was validated to the same population using the value of corrected item-total correlation and the value of Cronbach Alpha.

Results:

Fourty three questions were considerably valid and reliable on evaluating the HRQoL of early state of breast cancer patients in Indonesia as the value of Cronbach Alpha for physical, cognitive, social and spiritual domain were higher than 0.8 and the corrected item-total correlation were also higher than 0.3. Each domain of the questionnaire was not influenced by the treatment options. Twenty four early stage breast cancer (10 FAC based chemotherapy and 14 Taxan based chemotherapy) were enrolled in the main study and the score of HRQOL obtained from INA-BCHRQoL were considerably high.

Conclussion:

The INA-BCHRQoL questionnaire can be implemented as a valid and reliable tool to assess quality of life in early stage breast cancer patients in Indonesia.

Quality of Life in Palliative Care

Introduction

A main goals of palliative care is to improve the health-related quality of life (QOL) of patients with advanced illnesses. The objective of this narrative review is to provide an updated synopsis on the use of QOL questionnaires in the palliative care setting.

Areas covers

Focusing on the palliative cares setting, we will define QOL, discuss how QOL instruments can be used clinically and in research, review approaches to validate these questionnaires, and how they can be used in utility analyses.

Expert opinion/commentary

Several QOL questionnaires, such as EORTC-QLQ-C30, McGill QOL questionnaire and EQ-5D have been validated in the palliative care setting. However, significant gaps impede their application, including lack of determination of their responsiveness to change and minimal clinically important differences, the need to conduct more psychometric validation on QOL questionnaires among patients at various stages of disease trajectory, and the paucity of studies examining utility and cost-effectiveness. Further research is needed to address these knowledge gaps so QOL questionnaires can be better used to inform clinical practice and research.

Cost-Effectiveness of Autologous Stem Cell Treatment as Compared to Conventional Chemotherapy for Treatment of Multiple Myeloma in India

Recent innovations in treatment of multiple myeloma include autologous stem cell transplantation (ASCT) along with high dose chemotherapy (HDC). We undertook this study to estimate incremental cost per quality adjusted life year gained (QALY) with use of ASCT along with HDC as compared to conventional chemotherapy (CC) alone in treatment of multiple myeloma. A combination of decision tree and markov model was used to undertake the analysis. Incremental costs and effects of ASCT were compared against the baseline scenario of CC (based on Melphalan and Prednisolone regimen) in the patients of multiple myeloma. A lifetime study horizon was used and future costs and consequences were discounted at 5%. Consequences were valued in terms of QALYs. Incremental cost per QALY gained using ASCT as against CC for treatment of multiple myeloma was estimated using both a health system and societal perspective. The cost of providing ASCT (with HDC) for multiple myeloma patients was INR 500,631, while the cost of CC alone was INR 159,775. In the long run, cost per patient per year for ASCT and CC arms was estimated to be INR 119,740 and INR 111,565 respectively. The number of QALYs lived per patient in case of ASCT and HDC alone were found to be 4.1 and 3.5 years respectively. From a societal perspective, ASCT was found to incur an incremental cost of INR 334,433 per QALY gained. If the ASCT is initiated early to patients, the incremental cost for ASCT was found to be INR 180,434 per QALY gained. With current mix of patients, stem cell treatment for multiple myeloma is not cost effective at a threshold of GDP per capita. It becomes marginally cost-effective at 3-times the GDP per capita threshold. However, accounting for the model uncertainties, the probability of ASCT to be cost effective is 59%. Cost effectiveness of ASCT can be improved with early detection and initiation of treatment.

Mapping EORTC-QLQ-C30 to EQ-5D-3L in patients with colorectal cancer

AIMS

The primary aim of this study was to perform a mapping of the EORTC-QLQ-C30 scores to EQ-5D-3L for the SIRFLOX study; a large dataset of patients with previously untreated liver-only or liver-dominant metastatic colorectal cancer (mCRC). A secondary aim was to compare the predictive validity of existing mappings from EORTC-QLQ-C30 to EQ-5D-3L conducted in other cancers.

METHODS AND MATERIALS

Questionnaires (completed within 529 patients) were used in a linear mixed regression to model EQ-5D-3L utility values (scored using the UK tariff) as a function of the five function scores, nine symptom scores, and the global score from the EORTC-QLQ-C30 questionnaire. A Tobit regression was also performed. The mean EQ-5D-3L values for the SIRFLOX trial were calculated and compared with predicted EQ-5D-3L values derived using published mapping algorithms.

RESULTS

The linear mixed regression model provided a satisfactory mapping between the EORTC-QLQ-C30 and the EQ-5D-3L, whilst the Tobit model did not perform as well. When utilities from the SIRFLOX data were calculated with previously published mapping studies, three out of five studies performed well (< 10% mean difference).

LIMITATIONS

The main limitation of the study was the lack of meaningful observations post-progression (67 paired observations). For this reason, this study was unable to test whether the mapping holds by disease stage. Additionally, although the study adds to the literature of mappings to the EQ-5D-3L, it is not known how results would differ using the EQ-5D-5L.

CONCLUSION

This study is the first of its kind in liver-only or liver-dominant mCRC, and mCRC in general. The mapping constructed showed a good fit to the data and provides practitioners with an additional mapping between EORTC-QLQ-C30 to EQ-5D-3L using a large dataset (529 patients, 707 paired observations). The study also confirmed the generalizability of mappings published by Proskorovsky, Kontodimopoulos, and Longworth to liver-only or liver-dominant mCRC.

Cost-effectiveness of adding carfilzomib to lenalidomide and dexamethasone in relapsed multiple myeloma from a US perspective

OBJECTIVE

To assess the economic value of carfilzomib (Kyprolis), this study developed the Kyprolis Global Economic Model (K-GEM), which examined from a United States (US) payer perspective the cost-effectiveness of carfilzomib-lenalidomide-dexamethasone (KRd) versus lenalidomide-dexamethasone (Rd) in relapsed multiple myeloma (RMM; 1-3 prior therapies) based on results from the phase III ASPIRE trial that directly compared these regimens.

METHODS

A partitioned survival model that included three health states of progression-free (on or off treatment), post-progression, and death was developed. Using ASPIRE data, the effect of treatment regimens as administered in the trial was assessed for progression-free survival and overall survival (OS). Treatment effects were estimated with parametric regression models adjusting for baseline patient characteristics and applied over a lifetime horizon. US Surveillance, Epidemiology and End Results (1984-2014) registry data were matched to ASPIRE patients to extrapolate OS beyond the trial. Estimated survival was adjusted to account for utilities across health states. The K-GEM considered the total direct costs (pharmacy/medical) of care for patients treated with KRd and Rd.

RESULTS

KRd was estimated to be more effective compared to Rd, providing 1.99 life year and 1.67 quality-adjusted life year (QALY) gains over the modeled horizon. KRd-treated patients incurred $179,393 in total additional costs. The incremental cost-effectiveness ratio (ICER) was $107,520 per QALY.

LIMITATIONS

Extrapolated survival functions present the greatest uncertainty in the modeled results. Utilities were derived from a combination of sources and assumed to reflect how US patients value their health state.

CONCLUSIONS

The K-GEM showed KRd is cost-effective, with an ICER of $107,520 per QALY gained against Rd for the treatment of patients with RMM (1-3 prior therapies) at a willingness-to-pay threshold of $150,000. Reimbursement of KRd for patients with RMM may represent an efficient allocation of the healthcare budget.

Cost-effectiveness of lenalidomide plus dexamethasone vs. bortezomib plus melphalan and prednisone in transplant-ineligible U.S. patients with newly-diagnosed multiple myeloma

OBJECTIVE

To conduct a cost-effectiveness assessment of lenalidomide plus dexamethasone (Rd) vs bortezomib plus melphalan and prednisone (VMP) as initial treatment for transplant-ineligible patients with newly-diagnosed multiple myeloma (MM), from a U.S. payer perspective.

METHODS

A partitioned survival model was developed to estimate expected life-years (LYs), quality-adjusted LYs (QALYs), direct costs and incremental costs per QALY and LY gained associated with use of Rd vs VMP over a patient's lifetime. Information on the efficacy and safety of Rd and VMP was based on data from multinational phase III clinical trials and a network meta-analysis. Pre-progression direct costs included the costs of Rd and VMP, treatment of adverse events (including prophylaxis) and routine care and monitoring associated with MM. Post-progression direct costs included costs of subsequent treatment(s) and routine care and monitoring for progressive disease, all obtained from published literature and estimated from a U.S. payer perspective. Utilities were obtained from the aforementioned trials. Costs and outcomes were discounted at 3% annually.

RESULTS

Relative to VMP, use of Rd was expected to result in an additional 2.22 LYs and 1.47 QALYs (discounted). Patients initiated with Rd were expected to incur an additional $78,977 in mean lifetime direct costs (discounted) vs those initiated with VMP. The incremental costs per QALY and per LY gained with Rd vs VMP were $53,826 and $35,552, respectively. In sensitivity analyses, results were found to be most sensitive to differences in survival associated with Rd vs VMP, the cost of lenalidomide and the discount rate applied to effectiveness outcomes.

CONCLUSIONS

Rd was expected to result in greater LYs and QALYs compared with VMP, with similar overall costs per LY for each regimen. Results of this analysis indicated that Rd may be a cost-effective alternative to VMP as initial treatment for transplant-ineligible patients with MM, with an incremental cost-effectiveness ratio well within the levels for recent advancements in oncology.

Mapping the EORTC QLQ-C30 onto the EQ-5D-3L: assessing the external validity of existing mapping algorithms

PURPOSE

To determine the external validity of existing mapping algorithms for predicting EQ-5D-3L utility values from EORTC QLQ-C30 responses and to establish their generalizability in different types of cancer.

METHODS

A main analysis (pooled) sample of 3560 observations (1727 patients) and two disease severity patient samples (496 and 93 patients) with repeated observations over time from Cancer 2015 were used to validate the existing algorithms. Errors were calculated between observed and predicted EQ-5D-3L utility values using a single pooled sample and ten pooled tumour type-specific samples. Predictive accuracy was assessed using mean absolute error (MAE) and standardized root-mean-squared error (RMSE). The association between observed and predicted EQ-5D utility values and other covariates across the distribution was tested using quantile regression. Quality-adjusted life years (QALYs) were calculated using observed and predicted values to test responsiveness.

RESULTS

Ten 'preferred' mapping algorithms were identified. Two algorithms estimated via response mapping and ordinary least-squares regression using dummy variables performed well on number of validation criteria, including accurate prediction of the best and worst QLQ-C30 health states, predicted values within the EQ-5D tariff range, relatively small MAEs and RMSEs, and minimal differences between estimated QALYs. Comparison of predictive accuracy across ten tumour type-specific samples highlighted that algorithms are relatively insensitive to grouping by tumour type and affected more by differences in disease severity.

CONCLUSIONS

Two of the 'preferred' mapping algorithms suggest more accurate predictions, but limitations exist. We recommend extensive scenario analyses if mapped utilities are used in cost-utility analyses.