1. Introduction
Patients with multiple myeloma (MM) typically experience a high burden of symptoms, which can significantly impair their health-related quality of life (HR-QoL) [ 1 , 2 , 3 ]. Moreover, therapy-related side effects can negatively impact HR-QoL [ 4 , 5 , 6 , 7 ]. Improvements in the efficacy of MM treatment have made HR-QoL an increasingly important endpoint in clinical trials and a relevant factor for patients and physicians in choosing the most appropriate treatment [ 8 ].
High-dose therapy with melphalan followed by autologous stem cell transplant (ASCT) has long been the standard of care for newly diagnosed MM in clinically fit adults [ 9 ]. ASCT may lead to the short-term worsening of the HR-QoL but the baseline HR-QoL is generally regained as early as 2 months post-transplant, with long-term improvement in the HR-QoL and pain [ 10 , 11 ]. In contrast to tumor debulking, maintenance therapy aims to delay the disease progression after ASCT, when the disease burden is minimal. Continuous lenalidomide maintenance until progression leads to significantly improved progression-free and overall survival [ 12 , 13 ]. However, treatment-related toxicities, like infections, rash, fatigue, diarrhea/constipation, or neuropathy, could negatively affect patients’ HR-QoL, ultimately leading to discontinuation [ 14 , 15 , 16 ].
The LenaMain trial ( NCT00891384 ) was an investigator-initiated, randomized, open-label, phase-III trial that randomized patients to either receive lenalidomide at 5 mg (Len low) or 25 mg (Len high) [ 17 ]. To date, the LenaMain trial is the only clinical trial to show that a higher dosage of lenalidomide maintenance post-transplant benefits patients by extending the time of remission.
Previous real-world data from the Connect ® MM registry, a U.S. non-interventional, prospective registry, have highlighted that lenalidomide maintenance after ASCT has no adverse impact on HR-QoL [ 18 ]. But while a maintenance dose of 10–15 mg is approved in most areas as the standard of care, a dose-finding study has never been performed. Therefore, it remains unclear whether a higher dose of lenalidomide maintenance affects HR-QoL.
HR-QoL assessment using the global health status/quality of life (GHS/QoL) scale of the European Organisation for Research and Treatment of Cancer (EORTC) was a predefined secondary endpoint in the LenaMain trial. Here, we present the full HR-QoL results from cross-sectional and longitudinal analyses of the secondary and exploratory HR-QoL endpoints. Furthermore, this is the first time that the HR-QoL is compared between two cohorts receiving different dosages of lenalidomide maintenance (25 and 5 mg).
2. Methods
2.1. Study Design and Treatment
The LenaMain trial recruited patients from 4 June 2009 to 1 February 2015 in six hospitals in Germany. Details were previously published [ 17 ]. Briefly, patients were randomized 1:1 to either receive lenalidomide at a 5 mg (Len-low) or 25 mg (Len-high) maintenance treatment (Len MT) after first-line therapy with autologous stem cell transplant. Patients in both treatment arms first entered a uniform consolidation period and received 6 cycles of lenalidomide at 25 mg (for 21 days every 28 days), after which they started their respective maintenance therapies.
2.2. HR-QoL Assessments and Endpoint
The EORTC Quality of Life Questionnaire, QLQ-C30, is the most frequently used instrument for cancer-specific HR-QoL assessment in myeloma patients [ 19 , 20 , 21 ] and includes 30 items comprising one global health status (GHS) scale, five functional scales (physical, role, emotional, cognitive, and social functioning), three symptom scales (fatigue, nausea and vomiting, and pain), and six single items (dyspnea, insomnia, appetite loss, constipation, diarrhea, and financial difficulties). Higher scores represent better GHS and functioning but also greater (i.e., worse) symptoms. The primary patient-reported outcome (PRO) hypothesis presumed similar HR-QoL for the two different lenalidomide doses during maintenance. The minimally important difference (MID) threshold for clinically meaningful change from baseline was defined a priori based on the published literature, with a value of ≥5 points considered as clinically significant [ 22 ]. Evidence-based guidelines were used to interpret the longitudinal change from baseline within the groups [ 23 ] as well as the cross-sectional scores [ 24 ] (see Appendix A for further details). Patients completed the questionnaires on day 1 of each cycle. A total of 194 patients were enrolled in six German centers and 188 patients were randomized to receive Len maintenance.
The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of Heinrich Heine University (Approval Date: 16 January 2009, Approval Number: MC-LKP-300).
3. Results
3.1. Patient Population
From 4 June 2009 to 1 February 2015, 194 patients were enrolled in six German centers and 188 patients were randomized to receive lenalidomide maintenance. The patient demographics were balanced across the treatment groups in terms of baseline characteristics such as age, gender, risk scores, and prior therapy, without statistically significant differences. The median age at enrolment was 59 years. The QLQ-C30 domain values and utility values were balanced between the arms at both the consolidation baseline and maintenance baseline without statistically significant differences, which suggests no significant departure as a result of the differing effects of treatment with lenalidomide at 25 mg during the consolidation period ( Table 1 ).
3.2. Compliance
The compliance rates were high, with 95.7% of all randomly assigned patients completing the QLQ-C30 questionnaire at baseline ( Appendix B Figure A1 a). During the consolidation period, the compliance rates remained high, with a return of more than 80% of the expected responses. During the maintenance period, the compliance rates remained close to 70% or above. Slight differences between the treatment groups were expected after correction for dropouts due to progressive disease ( Appendix B Figure A1 b).
3.3. Quality of Life during the Consolidation Phase
3.3.1. Global Health Status/Quality of Life (GHS/QoL) and Utility Values
The GHS/QoL was high at the consolidation baseline, with a mean of 65.78 (range: 0–100). The median GHS/QoL scores were constant over 6 months of consolidation ( Appendix C Figure A2 a). The mean change from baseline (CFB) over time was very small, and there was no obvious trend over the six cycles (baseline: −0.98 (range: −2.16–0.2), p > 0.05; cycle 6: 1.123 (range: −4.54–2.3), p > 0.05; Appendix C Figure A2 b).
Similarly, the utility was high at the consolidation baseline, with a mean of 0.7 (range: 0–1). Little variation was seen in the median utility values across the consolidation cycles ( Appendix C Figure A2 d). The mean CFB over time was very small, and there was no obvious trend over the six cycles (baseline: 0.003 (range: 0.01–0.02), p > 0.05; cycle 6: 0.014 (range: −0.01, 0.04), p > 0.05; Appendix C Figure A2 e).
3.3.2. EORTC QLQ-C30 Domain Scores
At study entry, the EORTC QLQ-C30 scores were high for functioning and low for symptoms. Most CFBs in the domains were less than 5 points and therefore not considered relevant. However, some domains show a few noteworthy changes over time: Appetite loss symptom scores appear to generally become worse, with an average increase of approximately 7 points at cycle 6, surpassing the MID (baseline: −0.49 (range: −1.47–0.49, p > 0.05); cycle 6: 6.527 (range: 2.76–10.3, p < 0.05); Appendix C Figure A2 c). Constipation appears to be the most affected symptom, with an increase from baseline in most consolidation cycles of around 10 points (baseline: 0 (range: −1.97–1.97, p > 0.05); cycle 6: 6.808 (range: 2.77–10.84, p < 0.05); Appendix C Figure A2 f).
3.4. Quality of Life during the Maintenance Period
3.4.1. GHS/QoL
The overall median GHS/QoL scores were generally constant over 2 years of maintenance ( Figure 1 a). The mean change from maintenance baseline (CFMB) in the GHS/QoL over time within the arms was mostly <5 but showed a tendency for deterioration during the last cycles in both arms ( Figure 1 b).
Analyzing the median GHS/QoL by treatment arm, we found no significant difference over time (median: 68 for Len high (range: 16–100) and 68 for Len low (range: 34–100) at baseline; 58 for Len high (range: 16–100) and 68 for Len low (range: 34–83) at 2 years; both p > 0.05). Analyzing the mean difference in the CFMB between treatment arms, we found no significant difference between Len high and Len low over 2 years of treatment ( p > 0.05) ( Figure 1 c). The MID of 5 is surpassed slightly at cycles 6 and 12, yet it drops quickly to surpass 5 again at cycle 24.
3.4.2. Utility Values
The overall median utility values were constant at most time points, with a slight downward trend toward the end of year 2 with a mean change of 0.04 ( Figure 1 d). The mean CFMB over time within the arms showed a slight decline in the utility over 2 years of maintenance ( Figure 1 e).
Analyzing the median utility by treatment arm over time, we observed the utility for patients with Len high to be generally similar to that of those with Len low (median: 0.7 for Len high (range: 0.35–0.95) and 0.71 for Len low (range: 0.36–0.96) at baseline; 0.68 for Len high (range: 0.22–0.95) and 0.68 for Len low (range: 0.27–0.96) after 2 years; p > 0.05). Analyzing the mean difference in the CFMB between the treatment arms, we found no significant difference between Len high and Len low over 2 years of treatment ( p > 0.05) ( Figure 1 f).
3.4.3. Function and Symptom Scales, Single Items
Analyzing the medians and CFMB over time confirmed that there were no obvious differences for many of the functional scale domains, such as role functioning, cognitive functioning, or emotional functioning. Similarly, symptom scales, like fatigue or nausea and vomiting, were constant and low for all cycles. The single-item scores for insomnia, appetite loss, constipation, and dyspnea were consistent.
The most notable overall changes included social functioning, which showed a significant downward trend over time in both arms, leading to a mean CFMB of approximately 10 points at the end of year 2, thus surpassing the MID (baseline: 0.952 (range: −0.4–2.3); end of year 2: −10.119 (range: −16.53–−3.71); p < 0.05) ( Figure 2 a,b). The mean difference in the CFMB between the treatment arms showed no significant difference until the end of year 2, when the difference surpassed the MID (baseline: −0.054 (range: −2.7–2.69, p > 0.05); end of year 2: 5.882 (range: −3.37–15.14, p > 0.05)) ( Figure 2 c).
Also, diarrhea showed a consistent increase, leading to a significant mean CFMB at the end of year 2 exceeding the MID within the treatment arms (baseline: −1.905 (range: −5.78–1.97); end of year 2: 16.071 (range: 5.72–26.42), p < 0.05)) ( Figure 2 d,e). The mean difference in the CFMB between the treatment arms showed the MID to surpass 5 at cycles 9 and 18, yet it drops quickly to surpass the MID again at cycle 24. Notably, diarrhea increased slightly more for Len high by the end of year 2 without reaching statistical significance (mean difference in the CFMB between treatments for diarrhea at baseline: −3.704 (range: −11.52 −4.11, p > 0.05), and that at cycle 24: 3.922 (range: −9.87–17.571, p > 0.05) ( Figure 2 f).
3.5. Subgroup Analysis
To analyze how external factors such as disease control, adverse events (AEs), or the burden of an extended treatment time could affect HR-QoL, we looked at utility in relation to the remission status, severity of adverse events, or time on treatment. The subgroup analysis revealed that neither the disease response ((s)CR vs. less than CR), duration of treatment, nor adverse events (AEs grade 1/2, 3/4 vs. none) affected the HR-QoL or utility (see Appendix D for further details).
3.6. Missing Data
The number of patients on trial was similar in both arms ( Figure 2 ). This indicates that the extent of the missing data was comparable and not missing at random, which eliminates bias in the HR-QoL toward either treatment arm (see Appendix A for further details on reasons for dropping out).
4. Discussion
Despite advances in the overall survival, multiple myeloma remains an incurable disease that substantially affects patients’ HR-QoL. To date, the LenaMain trial is the only clinical trial to show that a higher dosage of lenalidomide maintenance post-transplant benefits patients by extending the time of remission. Here, we show that a higher Len dose does not substantially impair HR-QoL, and patients can therefore maintain the high level of functioning exhibited at study entry even at high dosages. The EORTC QLQ-C30 scores were high for functioning and low for symptoms and were similar to those of the general population, which shows a GHS/QoL between 76 and 79 [ 25 ]. Thus, our study population was largely asymptomatic and had a high level of functioning at study entry.
Consolidation after autologous stem cell transplantation has long been a point of discussion [ 26 , 27 ]. In our study, consolidation with six cycles of 25 mg of lenalidomide was feasible and no unexpected toxicity occurred. Other studies have shown significant survival benefits from lenalidomide, as well as bortezomib-containing consolidation therapy, while maintaining the HR-QoL (14 and 13 months, respectively, and both with GHS/QoL values around 70) [ 28 , 29 ]. Thus, our HR-QoL data confirm these findings by showing very little variation in the HR-QoL, utility, and functional and symptom scores. Some domains, however, show some variation during the first cycles of consolidation, most likely reflecting some uncertainty about the upcoming therapy amid a clinical trial.
During the lenalidomide maintenance, both the GHS/QoL and utility scores were relatively stable. The overall scores declined slightly but only exceeded the previously assigned MID at the end of year 2. This suggests that the high levels of the HR-QoL and utility observed at study entry were maintained, which is consistent with previous results showing no deterioration in the HR-QoL despite continued lenalidomide maintenance [ 19 ].
When we compared the GHS/QoL and utility between both arms, we found no significant difference between Len high and Len low. Also, we found consistent values for the function and symptom scales, as well as for the majority of single items, over the course of the trial, without substantial differences between the treatment arms. Noticeable exceptions were an increase in diarrhea and a decrease in social functioning. Both exceeded the pre-specified MID in both arms by the end of year 2.
Diarrhea is a common side effect with Len treatment that can severely impact HR-QoL and may lead to the unnecessary discontinuation of therapy [ 30 ]. Here, we show that diarrhea as a symptom exceeded the MID but was independent of the Len dosage. Hence, fear of diarrhea associated with decreased HR-QoL should not prevent physicians from prescribing high-dose Len MT. Instead, more supportive care should be applied. Bile acid malabsorption has recently been shown to cause Len-associated diarrhea, and treatment with a bile acid sequestrant is recommended in these cases [ 31 ]. Unfortunately, these data were not yet available during our study, but they may enable more patients in the future to continue long-term treatment with Len high, achieve better disease control, and improve their HR-QoL.
The other noticeable exception we observed was an overall downward trend in social functioning without any difference between the treatment groups until the end of the 2-year observational period, when the MID for both the CFMB and CFMB between the groups was surpassed. Despite disease stability and the absence of acute treatment-related toxicity, reduced social functioning is often related to a persistent and cumulative symptom burden [ 32 ]. Jordan et al., reported that social functioning was strongly affected by even moderate symptom levels [ 33 ]. And while patients may achieve long-term disease control with lenalidomide maintenance, the median time to relapse is 26.9 months [ 34 ]. Therefore, symptoms may begin to accumulate again after 2 years before meeting the criteria of progressive disease, further exacerbating social function deficits over time. Moreover, patients’ concerns about controlling their bowels could certainly impair their social functioning, connecting both items.
Adverse effects, like treatment-related toxicities (e.g., rash, fatigue, diarrhea/constipation, neuropathy) or infections, can significantly affect HR-QoL. Alleviation of these toxicities could be reflected by improvements in the HR-QoL, just as the aggravation of these toxicities might impair the HR-QoL. Hematologic toxicities, especially grade ≥ 3 neutropenia and infections, were a common side effect in the LenaMain trial and were observed in 34.6%, 24.3%, and 12.8% of the Len-high arm during the first, second, and third years, respectively, whereas the incidence in the Len-low arm remained constant at about 9%. We found that the GHS/QoL and utility in both treatment groups were not affected by high-grade toxicity. Similarly, AEs did not lead to more patients discontinuing lenalidomide maintenance. This result is consistent with reports from other clinical trials showing that regimens that prolong progression-free survival also provide sustained stable and improved HR-QoL, suggesting that a clinically meaningful improvement in relevant symptoms outweighs the adverse effects of treatment [ 35 , 36 ].
5. Relevance
Continuous therapy for multiple myeloma is often associated with a plethora of side effects. Thus, physicians might hesitate to use lenalidomide at the recommended dose, especially out of fear of infections or neuropathy. Some myeloma patients might also prioritize quality of life over a long-term response, further prompting dose reductions. We were the first to show that high-dose lenalidomide extends the progression-free survival but is associated with an increase in grade 3/4 infections in comparison to lower dosages of lenalidomide. Here, we show that a higher Len dosage is well tolerated, and the quality of life is not dose-dependent. Severe AEs, like infections, also did not impact the long-term quality of life. This result argues for titrating Len maintenance up to the best-tolerated dose in order to reach the optimal efficacy. Others have also argued for an individualized approach based on the disease characteristics, response to induction and ASCT (or even non-ASCT consolidation approaches, such as CAR-T-cell therapy or bispecific antibodies), as well as patient preferences [ 37 ]. Newer data from the DETERMINATION trial have also taken QoL into account [ 38 ]. This trial investigated the effect of adding ASCT to triplet therapy (lenalidomide, bortezomib, and dexamethasone) followed by lenalidomide maintenance and showed superior progression-free survival in the transplant group. Although the investigators observed a transient but clinically meaningful decrease in the quality of life associated with ASCT, the mean QoL scores subsequently recovered. In fact, the mean improvements from the maintenance baseline remained numerically higher in the post-transplant group throughout the maintenance therapy. This further supports that a more effective therapy results in better QoL, which emphasizes that personalized approaches are paramount when considering the toxicities and treatment effects on the QoL. But our results could also apply to the relapsed setting. With the advent of triplet combinations for relapsed patients, physicians might use dose-reduced Len to prevent side effects. By establishing high-dose Len maintenance as independent of grade 3/4 adverse events, our data also argue for a higher dose in the relapsed setting in order to achieve fast and durable responses.
6. Conclusions
The lenalidomide dosage during long-term maintenance had no impact on the quality of life in multiple myeloma patients. Instead, high baseline scores for global health and utility were maintained throughout the trial, without differences between the treatment arms. Thus, the HR-QoL was not governed by the higher rate of infectious toxicity caused by high-dose lenalidomide, which supports the feasibility of continuous Len treatment with a dose titrated on an individual basis and tailored to patients’ HR-QoL.
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Author Contributions
Conceptualization: A.B. and G.K.; methodology: A.B. and G.K.; software: A.B. and G.K.; validation: A.B. and G.K.; formal analysis: A.B.; investigation: A.B., A.G., H.G., M.H., M.J.R., N.K., E.K.M., J.S., R.H. and G.K.; resources: A.B.; data curation: A.B. and G.K.; writing—original draft preparation: A.B.; writing—review and editing: A.B., A.G., H.G., M.H., M.J.R., N.K., E.K.M., J.S., R.H. and G.K.; visualization: A.B.; supervision: G.K.; project administration: G.K.; funding acquisition: G.K. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of Heinrich Heine University (Approval Date: 16 January 2009, Approval Number: MC-LKP-300).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Data analyses were performed by KKS Düsseldorf, Germany, and Bresmed, Sheffield, the UK. All authors had access to the primary clinical trial data.
Conflicts of Interest
The authors declare no conflict of interest.
Appendix A. Materials and Methods
Appendix A.1. Study Design and Treatment
The LenaMain trial was an investigator-initiated, randomized, open-label, phase-III trial conducted in six hospitals in Germany, which recruited patients from 4 June 2009 to 1 February 2015 (ClinicalTrials.gov NCT00891384 ). Details were previously published [ 1 ]. Briefly, 194 patients were enrolled, and 188 patients were randomized 1:1 to either receive lenalidomide at a 5 mg (Len-low) or 25 mg (Len-high) maintenance treatment (Len MT) after first-line therapy with autologous stem cell transplant. Patients in both treatment arms first entered a uniform consolidation period and received six cycles of lenalidomide at 25 mg (for 21 days every 28 days), after which they started their respective maintenance therapies.
Appendix A.2. HR-QoL Assessments and Endpoint
The EORTC Quality of Life Questionnaire, EORTC QLQ-C30 (QLQ-C30), is the most frequently used instrument for cancer-specific HR-QoL assessment (scale range: 0–100) in myeloma patients [ 2 , 3 , 4 ]. It includes 30 items comprising one global health status (GHS) scale, five functional scales (physical, role, emotional, cognitive, and social functioning), three symptom scales (fatigue, nausea and vomiting, and pain), and six single items (dyspnea, insomnia, appetite loss, constipation, diarrhea, and financial difficulties). Higher scores represent better GHS and functioning but also greater (i.e., worse) symptoms.
The primary patient-reported outcome (PRO) hypothesis presumed similar HR-QoL for the two different lenalidomide doses during maintenance. Patients completed the questionnaires (paper) at baseline (day 1 of cycle 1) and on day 1 of each cycle. The questionnaire was scored using guidelines recommended by the EORTC [ 5 ].
Institutional review boards of all participating institutions approved the study protocol. The EORTC approved the use of the QLQ-C30 questionnaire. All patients provided written informed consent.
Appendix A.3. Assessing Raw Data
First, a table was created that summarized the number of missing observations in the data at each cycle based on the randomized number in each group. A comparison to the expected number of patients in each cycle was produced taking into consideration the number of patients still ongoing in the trial if the necessary data on the progression dates were available (given that the QoL was not recorded following the PD confirmation visit).
The approximate expected number of patients at each cycle was based on the patient’s event-free survival (EFS) date, where the time at which the EORTC QLQ-C30 questionnaires were expected to be collected was between the first consolidation cycle data and the EFS date. The expected number of questionnaires was calculated based on the assumption that each patient completed a questionnaire every 4 weeks until their EFS date. If one or more of these dates was missing, then this was dealt with on a case-by-case basis, taking what was considered the most reasonable approach for defining the period in which the patient should contribute questionnaires.
For the maintenance baseline, the initial suggestion was to use maintenance cycle 1 (MC1) as the baseline value, with consolidation visit records as a backup. After investigating the data, to make the most use of the records at MC1, the consolidation visit was taken as the maintenance baseline if available, with the MC1 values being used if no consolidation record was available (performed on a case-by-case basis for each domain). This led to totals of 72 and 75 records on treatment arms 1 (25 mg) and 2 (5 mg), respectively (out of approximate expected numbers of 91 and 88).
Appendix A.4. Calculating QLQ-C30 Scores
The EORTC QLQ-C30 assesses QoL based on five functional scales, three symptom scales, six single items, and a global health status/QoL scale, defined based on specific combinations of the 30 individual questions of the QLQ-C30 shown in Table A1 , along with the corresponding range ( r ) of each scale.
Table A1
EORTC QLQ-C30 scoring.
Legends: patient characteristics (GHS: global health status; QoL: quality of life; CFB: change from baseline; N/n: number; SD: standard deviation; BL: baseline). Note: the range (r) is the difference between the maximum and minimum possible values of the raw score (e.g., for an item scored 1–4, r = 3); all items except for those contributing to the global health status/QoL scales are scored from 1 to 4.
| Category | Scale | Code | Range ( r ) | EORTC QLQ-C30–Corresponding Questions |
| Global health status/QoL | Global health status/QoL | QL | 6 | 29, 30 |
| Functional scales | Physical functioning | PF | 3 | 1–5 |
| Role functioning | RF | 3 | 6, 7 | |
| Emotional functioning | EF | 3 | 21–24 | |
| Cognitive functioning | CF | 3 | 20, 25 | |
| Social functioning | SF | 3 | 26, 27 | |
| Symptom scales | Fatigue | FA | 3 | 10, 12, 18 |
| Nausea and vomiting | NV | 3 | 14, 15 | |
| Pain | PA | 3 | 9, 19 | |
| Single items | Dyspnea | DY | 3 | 8 |
| Insomnia | SL | 3 | 11 | |
| Appetite loss | AP | 3 | 13 | |
| Constipation | CO | 3 | 16 | |
| Diarrhea | DI | 3 | 17 | |
| Financial difficulties | FI | 3 | 28 |
The QLQ-C30 scoring manual describes the process for calculating the scores from the individual questionnaire responses: Raw scores (RSs) are calculated as the mean of the responses that belong to each scale or item (e.g., for the physical function, this would be the mean of the responses for questions 1–5); Standardized scores (Ss) are calculated using a transformation such that they vary at an interval from 0 to 100. 1. For functional scales: S = 100 × 1 − R S − 1 r ; 2. For symptom scales, single items, global health status/QoL scales: S = 100 × R S − 1 r .
Note: If items are missing, then the following process should be followed: 3. If at least half of the items that contribute to a scale have been answered, then calculate the score as above, ignoring the missing items; 4. If more than half are missing, then the scale is set to missing; 5. Single items will always be set to missing.
Appendix A.5. Utility Mapping
Utility values were calculated based on the QLQ-C30 questionnaire responses. The mapping described by Longworth et al., was used to derive utilities based on a UK tariff [ 6 ]. This mapping algorithm was chosen based on the range of statistical methods considered in this publication for mapping, the range of EQ-5D values available in the population used for the mapping, and the consistency of the questionnaire version.
Appendix A.6. Analyses Performed
The methods were motivated by the key aims of this work and a recent publication that assesses a similar topic [ 7 ]. These were conducted using a combination of software, including R v3.3.3, SAS 9.4, and Microsoft Excel Version Professional Plus 2016. Statistical analysis was performed by Bresmed, Sheffield, the UK.
Appendix A.7. Change from Baseline
The mean change from baseline was assessed for both the consolidation and maintenance periods, plotted against time in weeks. As the cycles were 4 weeks long, this resulted in QLQ-C30 records every 4 weeks, as the questionnaires were collected at the start of each cycle. The corresponding weeks are the number of weeks at the start of each cycle; for instance, consolidation cycle 1 has a QLQ-C30 record at the start of the cycle that corresponds to week 1, and the second cycle therefore corresponds to week 5.
Appendix A.8. Minimally Important Difference (MID)
Despite the appeal of the notion, there is no universal MID. At both the group and individual level, the MID may depend on the clinical context and decision at hand, the baseline from which the patient starts, and whether they are improving or deteriorating [ 8 ]. Moreover, as a statistically significant change in the HR-QoL is not necessarily important to the patient, the MID is a more useful way of interpreting changes in the HR-QoL scores for clinical decision making [ 9 ].
We defined the MID threshold for clinically meaningful change from baseline a priori for each PRO based on the published literature at ≥5 points. Kvam et al., in a longitudinal study, previously concluded that a difference of 6–17 points (0–100 scale) in the EORTC QLQ-C30 represents a clinically meaningful change in patients with MM [ 10 ]. Kvam et al., also suggested 5–6 to be a small change, and 11–15 to be a medium change [ 11 ]. For the change from baseline within groups, Cocks et al., with longitudinal contrasts, previously determined a mean increase for the global quality of life at 6.4 and a mean decrease at −9.5, a mean increase for diarrhea at 6.2 and mean decrease at −4.1, and for social functioning, a mean increase at 6.2 and mean decrease at −8.7 to be significant [ 12 ]. For mean differences between groups, Cocks et al., with cross-sectional contrasts, determined a mean difference of 7.22 for the global quality of life, 4.4 for diarrhea, and 7.82 for social functioning [ 13 ]. Thus, an MID of ≥5 was a deliberate choice and based on the fact that patients eligible for maintenance are often asymptomatic and seek to maintain their HR-QoL in addition to extending disease control [ 14 , 15 ].
Appendix A.9. Subgroup Analysis
To assess the impact of the responses on utility during maintenance, two subgroups were selected: complete responders (patients who achieved a stringent complete response (sCR) or complete response (CR)) and non-complete responders (very good partial response (vgPR), partial response (PR), stable or progressive disease).
To assess the impact of adverse events on the utility and GHS/QoL during maintenance, patients were grouped into those with adverse events (AEs) of grade 1/2 according to the common terminology criteria (CTC) of adverse events, those with AEs of grade 3/4, or those without AEs.
Further, we wondered whether the patients’ time on treatment led to differences in the HR-QoL; thus, an exploration was conducted for the utility and the GHS/QoL scale. The patients’ time on treatment was based on the latest HR-QoL cycle record.
Appendix A.10. Study Discontinuations
Table A2
Reasons for Discontinuation.
| 25 mg | 5 mg | |
| Discontinuation | 61 (65%) | 74 (78%) |
| Due to progressive disease | 27 (29%) | 42 (45%) |
| Due to AE | 27 (29%) | 26 (28%) |
| Due to death | 3 (3%) | 1 (1%) |
| Due to refusal | 4 (4%) | 5 (5%) |
| Median time (range) until EOT (months) | 26.8 (0.5–87) | 22.9 (0.3–69) |
Appendix A.11. Dose Reductions
Table A3
Reasons for Dose Reduction.
Abbreviations: AE: adverse event, EOT: end of treatment.
| Dose Reduction Due to | N = 337 |
| Neutropenia | 187 (56) |
| Thrombocytopenia | 31 (9) |
| Constitutional symptoms | 24 (7) |
| Infection | 17 (5) |
| Dermatological AEs | 14 (4) |
| New primary malignancy | 13 (4) |
| Neurological AEs | 13 (4) |
| Patient request | 9 (3) |
| Anemia | 9 (3) |
| Renal AEs | 6 (2) |
| Gastrointestinal + Liver AEs | 5 (2) |
| Death | 4 (1) |
| Pulmonal AEs | 3 (1) |
| Cardiac AEs | 2 (1) |
| Bleeding | 0 (0) |
Appendix B. Compliance

Appendix C. Consolidation

Appendix D. Subgroup Analysis
Results
To analyze how external factors, such as disease control, adverse events (AEs), or the burden of an extended treatment time, could affect HR-QoL, we looked at utility in relation to the remission status, severity of adverse events, or time on treatment.
The boxplots show very little difference between the utility for the complete responder and non-complete responder subgroups (median: 0.65 at baseline, 0.6 at year 1, and 0.6 at year 2, and 0.65 at baseline, 0.66 at year 1, and 0.6 at year 2, respectively, p > 0.05) ( Appendix D Figure A3 a,b). Similarly, experience of light (maximum grade: 1 + 2) or severe (maximum grade: 3 + 4) AEs did not affect utility. The boxplots show no clear differences between cohorts (0.65 at baseline, 0.6 at year 1, and 0.6 at year 2, and 0.65 at baseline, 0.66 at year 1, and 0.6 at year 2, respectively, p > 0.05) ( Appendix D Figure A3 c,d).
Looking at the time on treatment, categorized by 1, 2, 3, and 4 years, we find a tendency for those patients who were on treatment the longest to show reasonably consistent and slightly higher utility values across the whole time (Len-high MT year 1: baseline: 0.69; year 1: 0.56. MT year 2: baseline: 0.71; year 1: 0.71; year 2: 0.26. MT year 3: baseline: 0.64; year 1: 0.66; year 2: 0.63; year 3: 0.93. MT year 4: baseline: 0.70; year 1: 0.71; year 2: 0.74; year 3: 0.73; year 4: 0.71. Len-low MT year 1: baseline: 0.69; year 1: 0.56. MT year 2: baseline: 0.71; year 1: 0.70; year 2: 0.26. MT year 3: baseline: 0.63; year 1: 0.65; year 2: 0.63; year 3: 0.93. MT year 4: baseline: 0.71; year 1: 0.65; year 2: 0.74; year 3: 0.73; year 4: 0.70) ( Appendix D Figure A3 e,f).


References
1. Engelhardt M. Ihorst G. Singh M. Rieth A. Saba G. Pellan M. Lebioda A. Real-World Evaluation of Health-Related Quality of Life in Patients with Multiple Myeloma from Germany Clin. Lymphoma Myeloma Leuk. 2020 S2152 S2650 10.1016/j.clml.2020.10.002 33218965
2. Despiégel N. Touboul C. Flinois A. Saba G. Suzan F. Gonzalez-McQuire S. Bonnetain F. Health-Related Quality of Life of Patients with Multiple Myeloma Treated in Routine Clinical Practice in France Clin. Lymphoma Myeloma Leuk. 2019 19 e13 e28 10.1016/j.clml.2018.08.019 30292736
3. Tay J. Vij R. Norkin M. Buadi F. Kindwall-Keller T.L. Roberts J.S. White D.J. Wood R.P. Blanthorn-Hazell S.E. Rossi A.C. Health related quality of life for multiple myeloma patients according to treatment strategy after autologous stem cell transplant: A cross-sectional study using EORTC, EQ-5D and MY-20 scales Leuk. Lymphoma 2019 60 1275 1282 10.1080/10428194.2018.1523399 30380358
4. Weisel K. Ludwig H. Rieth A. Lebioda A. Goldschmidt H. Health-related quality of life of carfilzomib- and daratumumab-based therapies in patients with relapsed/refractory multiple myeloma, based on German benefit assessment data Qual. Life Res. 2020 29 69 79 10.1007/s11136-019-02307-5 31552577 PMC6962286
5. Ludwig H. Moreau P. Dimopoulos M.A. Mateos M.V. Kaiser M. Hajek R. Feng S. Cocks K. Buchanan J. Weisel K. Health-related quality of life in the ENDEAVOR study: Carfilzomib-dexamethasone vs. bortezomib-dexamethasone in relapsed/refractory multiple myeloma Blood Cancer J. 2019 22 23 10.1038/s41408-019-0181-0 PMC6386751 30796199
6. Siegel D. Weisel K. Zahlten-Kumeli A. Medhekar R. Ding B. Leleu X. Health-related quality of life outcomes from the CANDOR study in patients with relapsed or refractory multiple myeloma Leuk. Lymphoma 2021 62 3002 3010 10.1080/10428194.2021.1941927 34180331
7. Delforge M. Minuk L. Eisenmann J.C. Arnulf B. Canepa L. Fragasso A. Leyvraz S. Langer C. Ezaydi Y. Vogl D.T. Health-related quality of life in patients with newly diagnosed multiple myeloma ineligible for stem cell transplantation: Results from the randomized phase III ALCYONE trial BMC Cancer 2021 21 659 34078314 10.1186/s12885-021-08325-2 PMC8170980
8. Dimopoulos M.A. Jakubowiak A.J. McCarthy P.L. Orlowski R.Z. Attal M. Bladé J. Goldschmidt H. Weisel K.C. Ramasamy K. Zweegman S. Developments in continuous therapy and maintenance treatment approaches for patients with newly diagnosed multiple myeloma Blood Cancer J. 2020 10 17 10.1038/s41408-020-0273-x 32054831 PMC7018731
9. Dimopoulos M.A. Moreau P. Terpos E. Mateos M.V. Zweegman S. Cook G. Delforge M. Hájek R. Schjesvold F. Cavo M. Multiple Myeloma: EHA-ESMO Clinical Practice Guidelines for Diagnosis, Treatment and Follow-up Hemasphere 2021 5 e528 33554050 10.1097/HS9.0000000000000528 PMC7861652
10. Chakraborty R. Hamilton B.K. Hashmi S.K. Kumar S.K. Majhail N.S. Health-Related Quality of Life after Autologous Stem Cell Transplantation for Multiple Myeloma Biol. Blood Marrow Transplant. 2018 24 1546 1553 10.1016/j.bbmt.2018.03.027 29626515 PMC6108907
11. Roussel M. Hebraud B. Hulin C. Perrot A. Caillot D. Stoppa A.M. Macro M. Escoffre M. Arnulf B. Belhadj K. Health-related quality of life results from the IFM 2009 trial: Treatment with lenalidomide, bortezomib, and dexamethasone in transplant-eligible patients with newly diagnosed multiple myeloma Leuk. Lymphoma 2020 61 1323 1333 10.1080/10428194.2020.1719091 32090636
12. Palumbo A. Cavallo F. Gay F. Di Raimondo F. Ben Yehuda D. Petrucci M.T. Pezzatti S. Caravita T. Cerrato C. Ribakovsky E. Autologous transplantation and maintenance therapy in multiple myeloma N. Engl. J. Med. 2014 371 895 905 10.1056/NEJMoa1402888 25184862
13. McCarthy P.L. Holstein S.A. Petrucci M.T. Richardson P.G. Hulin C. Tosi P. Bringhen S. Musto P. Anderson K.C. Caillot D. Lenalidomide Maintenance After Autologous Stem-Cell Transplantation in Newly Diagnosed Multiple Myeloma: A Meta-Analysis J. Clin. Oncol. 2017 35 3279 3289 10.1200/JCO.2017.72.6679 28742454 PMC5652871
14. Nielsen L.K. Stege C. Lissenberg-Witte B. Van Der Holt B. Mellqvist U.H. Salomo M. Bos G. Levin M.D. Visser-Wisselaar H. Hansson M. Health-related quality of life in transplant ineligible newly diagnosed multiple myeloma patients treated with either thalidomide or lenalidomide-based regimen until progression: A prospective, open-label, multicenter, randomized, phase 3 study Haematologica 2020 105 1650 1659 10.3324/haematol.2019.222299 31515355 PMC7271593
15. Sonneveld P. Verelst S.G. Lewis P. Gray-Schopfer V. Hutchings A. Nixon A. Petrucci M.T. Review of health-related quality of life data in multiple myeloma patients treated with novel agents Leukemia 2013 27 1959 1969 10.1038/leu.2013.185 23783393 PMC3806249
16. Merz M. Dechow T. Scheytt M. Schmidt C. Hackanson B. Knop S. The clinical management of lenalidomide-based therapy in patients with newly diagnosed multiple myeloma Ann. Hematol. 2020 99 1709 1725 10.1007/s00277-020-04023-4 32296915 PMC7340649
17. Fenk R. Giagounidis A. Goldschmidt H. Heinsch M. Rummel M. Kroger N. Boquoi A. Lopez D. Gerrlich C. Baier J. Efficacy and Tolerability of High- versus Low-dose Lenalidomide Maintenance Therapy of Multiple Myeloma after Autologous Blood Stem Cell Transplantation Clin. Cancer Res. 2020 26 5879 5886 10.1158/1078-0432.CCR-20-0841 32817078
18. Abonour R. Wagner L. Durie B.G. Jagannath S. Narang M. Terebelo H.R. Gasparetto C.J. Toomey K. Hardin J.W. Kitali A. Impact of post-transplantation maintenance therapy on health-related quality of life in patients with multiple myeloma: Data from the Connect ® MM Registry Ann. Hematol. 2018 97 2425 2436 10.1007/s00277-018-3446-y 30056582 PMC6208675
19. Nielsen L.K. Jarden M. Andersen C.L. Frederiksen H. Abildgaard N. A systematic review of health-related quality of life in longitudinal studies of myeloma patients Eur. J. Haematol. 2017 99 3 17 10.1111/ejh.12882 28322018
20. Gulbrandsen N. Hjermstad M.J. Wisløff F. Nordic Myeloma Study Group Interpretation of quality of life scores in multiple myeloma by comparison with a reference population and assessment of the clinical importance of score differences Eur. J. Haematol. 2004 72 172 180 10.1046/j.0902-4441.2003.00195.x 14962235
21. Leleu X. Petrucci M.T. Welslau M. Broek I.V. Murphy P.T. Bottomley A. Bacon P. Lewis P. Gilet H. Arnould B. Psychometric performance of the EORTC Quality-of-Life Core questionnaire (QLQ-C30) and QLQ-Multiple Myeloma (QLQ-MY20) in relapsed/refractory multiple myeloma (RRMM) Blood 2013 122 1721 10.1182/blood.V122.21.1721.1721
22. Kvam A.K. Wisløff F. Fayers P.M. Minimal important differences and response shift in health-related quality of life; a longitudinal study in patients with multiple myeloma Health Qual. Life Outcomes 2010 8 79 10.1186/1477-7525-8-79 20678240 PMC2922103
23. Cocks K. King M.T. Velikova G. de Castro G. Jr. Martyn St-James M. Fayers P.M. Brown J.M. Evidence-based guidelines for interpreting change scores for the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire Core 30 Eur. J. Cancer. 2012 48 1713 1721 10.1016/j.ejca.2012.02.059 22418017
24. Cocks K. King M.T. Velikova G. Martyn St-James M. Fayers P.M. Brown J.M. Evidence-based guidelines for determination of sample size and interpretation of the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire Core 30 J. Clin. Oncol. 2011 29 89 96 10.1200/JCO.2010.28.0107 21098316
25. Scott N.W. Fayers P.M. Aaronson N.K. Bottomley A. de Graeff A. Groenvold M. Gundy C. Koller M. Petersen M.A. Sprangers M.A.G. EORTC QLQ-C30 Reference Values July 2008. Available online: http://www.eortc.org/app/uploads/sites/2/2018/02/reference_values_manual2008.pdf (accessed on 20 January 2018)
26. Mohty M. Richardson P.G. McCarthy P.L. Attal M. Consolidation and maintenance therapy for multiple myeloma after autologous transplantation: Where do we stand? Bone Marrow Transplant. 2015 50 1024 1029 10.1038/bmt.2015.83 25893452
27. Al-Ani F. Louzada M. Post-transplant consolidation plus lenalidomide maintenance vs lenalidomide maintenance alone in multiple myeloma: A systematic review Eur. J. Haematol. 2017 99 479 488 10.1111/ejh.12961 28885719
28. Cavo M. Gay F. Beksac M. Pantani L. Petrucci M.T. Dimopoulos M.A. Dozza L. van der Holt B. Zweegman S. Oliva S. Autologous haematopoietic stem-cell transplantation versus bortezomib-melphalan-prednisone, with or without bortezomib-lenalidomide-dexamethasone consolidation therapy, and lenalidomide maintenance for newly diagnosed multiple myeloma (EMN02/HO95): A multicentre, randomised, open-label, phase 3 study Lancet Haematol. 2020 7 e456 e468 32359506 10.1016/S2352-3026(20)30099-5
29. Cohen O.C. Counsell N. Rabin N. Popat R. Owen R.G. Popova B. Schofield O. Clifton-Hadley L. Lyons-Lewis J. Rawstron A. Bortezomib consolidation post-ASCT as frontline therapy for multiple myeloma deepens disease response and MRD-negative rate whilst maintaining QOL and response to re-treatment at relapse Br. J. Haematol. 2019 185 948 951 10.1111/bjh.15649 30460696
30. Nunnelee J. Cottini F. Zhao Q. Faisal M.S. Elder P. Rosko A. Bumma N. Khan A. Umyarova E. Devarakonda S. Early Versus Late Discontinuation of Maintenance Therapy in Multiple Myeloma Blood 2021 138 3796 10.1182/blood-2021-146698 PMC9573258 36233663
31. Pawlyn C. Khan M.S. Muls A. Sriskandarajah P. Kaiser M.F. Davies F.E. Morgan G.J. Andreyev H.J. Lenalidomide-induced diarrhea in patients with myeloma is caused by bile acid malabsorption that responds to treatment Blood 2014 124 2467 2468 10.1182/blood-2014-06-583302 25301337
32. Boland E. Eiser C. Ezaydi Y. Greenfield D.M. Ahmedzai S.H. Snowden J.A. Living with advanced but stable multiple myeloma: A study of the symptom burden and cumulative effects of disease and intensive (hematopoietic stem cell transplant-based) treatment on health-related quality of life J. Pain. Symptom Manag. 2013 46 671 680 10.1016/j.jpainsymman.2012.11.003 23535325
33. Jordan K. Ishak K.J. Lewis P. Proskorovsky I. Payne K.A. Lordan N. Kyriakou C. Davies F. Peters S. Williams C.D. Determinants of Global QOL and Physical and Social Functionality in Multiple Myeloma Blood 2010 116 934 10.1182/blood.V116.21.934.934
34. Majithia N. Rajkumar S.V. Lacy M.Q. Buadi F.K. Dispenzieri A. Gertz M.A. Hayman S.R. Dingli D. Kapoor P. Hwa L. Early relapse following initial therapy for multiple myeloma predicts poor outcomes in the era of novel agents Leukemia 2016 30 2208 2213 10.1038/leu.2016.147 27211270 PMC5541860
35. Royle K.L. Gregory W.M. Cairns D.A. Bell S.E. Cook G. Owen R.G. Drayson M.T. Davies F.E. Jackson G.H. Morgan G.J. Quality of life during and following sequential treatment of previously untreated patients with multiple myeloma: Findings of the Medical Research Council Myeloma IX randomised study Br. J. Haematol. 2018 182 816 829 10.1111/bjh.15459 29984830 PMC6175065
36. Vogl D.T. Delforge M. Song K. Guo S. Gibson C.J. Ervin-Haynes A. Facon T. Long-term health-related quality of life in transplant-ineligible patients with newly diagnosed multiple myeloma receiving lenalidomide and dexamethasone Leuk. Lymphoma 2018 59 398 405 10.1080/10428194.2017.1334125 28641472
37. Kesireddy M. Holstein S.A. The era of lenalidomide maintenance therapy in multiple myeloma: Settings for achieving best outcomes Expert. Rev. Clin. Pharmacol. 2022 15 19 31 10.1080/17512433.2022.2032656 35061547
38. Richardson P.G. Jacobus S.J. Weller E.A. Hassoun H. Lonial S. Raje N.S. Medvedova E. McCarthy P.L. Libby E.N. Voorhees P.M. Triplet Therapy, Transplantation, and Maintenance until Progression in Myeloma N. Engl. J. Med. 2022 387 132 147 10.1056/NEJMoa2204925 35660812 PMC10040899