Literature DB >> 30302236

Chart review across EU5 in MM post-ASCT patients.

John Ashcroft1,1, Davneet Judge2,2, Sujith Dhanasiri3,3, Gavin Taylor-Stokes2,2, Chloe Middleton2,2.   

Abstract

AIM: To understand the current treatment patterns, clinical outcomes and healthcare resource utilization-associated costs for multiple myeloma patients, post autologous stem cell transplant (ASCT) across Europe. PATIENTS &
METHODS: Medical records were used to abstract data for 337 multiple myeloma patients who had received ASCT.
RESULTS: Following ASCT, 7% received maintenance therapy prior to progression. Lenalidomide was the most frequently prescribed maintenance, second- and third-line therapy. Monthly resource use was considerably lower in patients who received maintenance therapy (€638.14 vs €1001.74). Median time to progression was longer for patients who had received maintenance therapy.
CONCLUSION: The study highlights the diversity in current treatment patterns post-ASCT. Results suggest patients who receive maintenance therapy have a prolonged remission period, and as a result their associated healthcare resource utilization is spread across the treatment pathway.

Entities:  

Keywords:  healthcare resource utilization; lenalidomide; maintenance treatment; multiple myeloma; real world; stem cell transplantation; treatment patterns

Year:  2018        PMID: 30302236      PMCID: PMC6176952          DOI: 10.2217/ijh-2018-0004

Source DB:  PubMed          Journal:  Int J Hematol Oncol        ISSN: 2045-1393


The recent introduction of novel molecular agents has increased the therapeutic armory in multiple myeloma (MM). In addition, new roles for established agents are also being developed, as evidenced by the recent approval of lenalidomide as maintenance therapy following high-dose chemotherapy and autologous stem cell transplant (ASCT). ASCT following induction treatment remains the global gold standard treatment for eligible MM patients [1,2]. Maintenance therapy has shown substantial improvements in survival outcomes (e.g., response rates, progression-free survival [PFS], time to progression [TTP] and overall survival) versus conventional chemotherapies and placebo for MM patients [3,4,5,6,7,8]. It is suggested that maintenance treatments control the proliferation of residual malignant cells after transplantation and have demonstrated their benefit by controlling the disease for longer periods of time [8,9]. The effectiveness of these novel therapies used either as single agents or in combination has produced a paradigm shift in the way MM is treated [6]. However, uncertainties remain about optimum treatment strategies and with an ever-increasing choice of agents, the best sequence of available treatment options has not been fully established [10]. Current clinical practice guidelines within Europe, USA and Canada recommend induction followed by high-dose therapy with stem cell support and lenalidomide maintenance treatment [3,11]. The introduction of newer treatment options also impacts on the resource use and economic burden of this disease. Lenalidomide (Revlimid®), a thalidomide analog, is the first treatment to be indicated for maintenance treatment for patients with MM in the post-ASCT setting. It received approval, in February 2017, based on two large Phase III randomized clinical trials showing approximately 15-month (the Cancer and Leukemia Group B [CALGB] trial) and 18-month (the Intergroupe Francophone du Myelome (IFM) 2005–02 trial) PFS advantages in patients who received maintenance treatment with lenalidomide versus placebo (i.e., no treatment post-ASCT) [9,12,13,14,15]. In these studies, lenalidomide demonstrated a good tolerability profile, an advantage over some other agents, such as the parent drug thalidomide, which is limited by neurotoxicity during long-term use. While clinical trials provide key data regarding the efficacy and safety of new therapies, real-world studies are also required to establish the benefit of new therapies in routine clinical practice. In addition to the efficacy and safety associated with a treatment, it is also important to consider the costs to healthcare service providers and patients. Market access decisions require further detailed economic evaluations providing information on treatment patterns, and costs associated with resource use. The substantial economic burden of MM is well documented [16,17,18]. The disease- and treatment-related costs associated with managing MM are considerable; drug treatments and hospitalizations have been shown to be the largest cost components [16]. Although ASCT is the standard of therapy to achieve remission in MM, there is a considerable personal and economic burden associated with the procedure itself and what it means to the patient and the healthcare system. For example, initial therapy often includes three to six cycles of induction therapy prior to transplant; the collection of stem cells procedure is costly, complex, and time consuming, and involves the coordination of various departments and healthcare professionals (HCPs); and a second transplant may also be necessary in patients who do not achieve complete remission [19,20]. In one study, ASCT accounted for more than 80% of the nonpharmacological treatment costs [16]. Furthermore, considerable amounts of time and resources are necessary for the management of patients and the financial and time constraints of the patients themselves and their caregivers can be substantial [21]. Few studies have assessed the costs associated with novel agent-based treatment regimens in MM. Recently, in an analysis using data from the Connect MM registry [33], there were nonsignificant trends toward a shorter mean duration of hospitalization (5.0 vs 10.5 days in Year 1; 7.0 vs 9.0 days in Year 2) and lower rates of overall hospitalizations and use of certain medications (e.g., neuropathic pain treatments) in patients receiving lenalidomide maintenance therapy compared with patients who received no maintenance treatment [22]. Therefore, in order to support decision making with regard to MM treatment, more research is needed into the real-world treatment pathway for MM patients; with an emphasis on whether the use of maintenance therapy has PFS advantages and the potential impact the use of such maintenance therapy has on the healthcare resource utilization (HCRU) costs associated with MM. The objectives of this study are to describe and understand the current treatment practice patterns across the patient pathway as well as clinical outcomes (TTP and time to death) and HCRU-associated costs for patients with MM who have undergone ASCT in five European countries, as there is limited literature regarding these aspects of therapy.

Methods

Study design

A multicenter, retrospective observational chart review was performed for patients with MM who had received an ASCT as part of first-line treatment (Figure 1). The study was conducted in five European countries (France, Germany, Italy, Spain and UK) and involved physicians responsible for the management of patients with MM. Recruited physicians completed a medical chart review for 6–10 consecutive consulting patients who had undergone an ASCT as part of their first-line treatment on or after the index date of 1 January 2014. Data were extracted retrospectively from until January/March 2017 from individual patient charts and were recorded on electronic case report forms (eCRFs).

Treatment pathway flow for patient sample, detailing healthcare resource utilization capture.

1L: First-line; ASCT: Autologous stem cell transplant; HCRU: Healthcare resource utilization; MT: Maintenance therapy; NDMM: Newly diagnosed multiple myeloma; Tx: Treatment.

Treatment pathway flow for patient sample, detailing healthcare resource utilization capture.

1L: First-line; ASCT: Autologous stem cell transplant; HCRU: Healthcare resource utilization; MT: Maintenance therapy; NDMM: Newly diagnosed multiple myeloma; Tx: Treatment.

Site/investigator selection

A master list of investigators involved in the treatment and management of patients with MM was created in each country. The list of investigators consists of physicians who voluntarily wish to participate in observational research; all physicians within the list are systematically vetted against authoritative sources in each country, such as the General Medical Council (GMC) (UK) or equivalent. An eligible sample of physicians is selected based on study eligibility and willingness to participate. Although the results do not generalize to the entire MM population, the study recruited a geographically distributed sample of treating physicians who identified eligible patients, thus providing a broad overview of current MM practice. Physicians expressing an interest in participating in the study were screened to ensure they met the following eligibility criteria: having one of the following specialisms – hematologist, hematology–oncology or internist; having been qualified for at least 5 years and no more than 38 years; spending at least 50% of their time managing patients in clinical practice, overall; and being responsible for and actively involved in the treatment management of at least three MM patients in a typical working week. Participating physicians selected patients meeting the following inclusion criteria: aged ≥ 18 years, having a confirmed diagnosis of MM and having received induction drug therapy and an ASCT as part of their first-line treatment.

Outcome measures

The following data were collected for each patient: demographics, time to death (if applicable), details of first-line post-transplant treatment including types of therapy received (i.e., consolidation therapy – defined as treatments prescribed for a short period of time to improve ASCT response quality – and maintenance therapy – defined as a longer duration of treatment given to prolong the duration of remission/response effects); the following variables were collected across both first and second line of therapy: duration of therapy, TTP and HCRU (including total hospitalizations, additional supportive treatments, HCP visits and monitoring tests).

HCRU costing analysis

HCRU data were collected for each line of treatment line. First-line HCRU included resources used from completion of ASCT until initiation of second-line therapy; second-line HCRU included resources used from start of second line treatment to most recent date (third line, date of death and survey end). A unit analysis was used to calculate HCRU for each observation; over the course of each patient's treatment pathway, from completion of ASCT as part of first-line therapy to the most recent treatment date. Units were determined per month for all patients, and results were described as HCRU units per patient. Monthly resource use was calculated for the duration of patient follow-up. Unit costs were applied to the relevant HCRU data to estimate the associated costs. Tariffs from the UK health service were initially applied (an exchange rate of £1 to €1.1365 was used; correct as of 1 July 2017). Costs for hospitalizations, supportive treatments, HCP visits and monitoring tests were obtained from the National Health Service Schedule of Reference Costs (2015–2016) and supportive drug costs were obtained from the Monthly Index of Medical Specialities 2017. The costs were applied to data collected from the healthcare system perspective thus allowing for a broad overview to assess the impact of therapy on HCRU across treatment lines following first-line ASCT. Equivalent unit costs for France, Germany, Italy and Spain were also obtained and used to determine total costs for these countries for comparison. The costs of active drug therapies were not included within the HCRU costing analysis. Costs for France, Germany, Italy and Spain were also obtained for comparison (see Appendix).

Costing assumptions

When a hospitalization was recorded, emergency room and intensive care unit admission was captured and a one-off cost for the respective admission was applied (admission costs should be considered a minimum value as costs could be higher, depending on the number of days spent in the intensive care unit, for example). When an unspecified test was recorded, the lowest cost for a monitoring test was applied. Costs for prednisolone/prednisone were only available for the combination with either bendamustine or thalidomide; when patients were prescribed prednisolone/prednisone without either listed combination drug, the lowest cost was used. When body surface area (derived using the De Bois formula) or patient weight was required to calculate drug dosage, the average height and weight for male and female patients receiving an ASCT was taken from the Adelphi Disease Specific Programme Multiple Myeloma 2015–2015 data (Male: 174.6 cm and 77.5 kg; Female: 163.3 cm and 70.1 kg was assumed for each gender). Cycle lengths were not accurately abstracted from eCRF data; therefore, standard drug cycles were assumed, and when a standard cycle length was not available, a 28-day cycle was assumed. Data management and statistical analyses were conducted using Version 15.0 of the Stata software package (StataCorp LLC, TX, USA) [25].

Statistical methods

For all study objectives, standard descriptive statistics were used to describe the outcomes. Numerical variables were described in terms of mean, median and standard deviation (SD); categorical variables were described as frequency and percentage of patients falling into each category. A Kaplan–Meier approach was used to determine median TTP for first- and second-line therapy. For first-line therapy, TTP was considered to be the time from undergoing ASCT until the start of second-line therapy. For second-line therapy, the TTP was calculated as the period from the start of second-line therapy to the start of third-line therapy. Time to death was analyzed using the mean number of months between date of diagnosis and date of death.

Ethical conduct of the study

The study was conducted in accordance with the International Society for Pharmacoepidemiology and Guidelines for Good Pharmacoepidemiology Practices. The protocol was approved by the Freiburger Ethic-Komission International centralized ethics committee.

Results

Study population: physician & patient characteristics

A total of 337 eCRFs were completed across the five countries by 51 physicians (number of physicians by country: ten in France, 11 in Germany, ten in Italy, ten in Spain and ten in the UK). The majority of physicians included were hematologists (69%) and they saw an average of 20 MM patients per week. A summary of the main patient demographic characteristics is presented by those who had received maintenance therapy and those who did not in Table 1. Overall, there were slightly more male than female patients in the study population (57 vs 43%) and the mean (SD) age at diagnosis was 58.7 (± 7.7) years. A total of 53% of patients had stage III MM at diagnosis, and 34% had stage II disease at diagnosis; the mean (SD) duration from diagnosis to ASCT was 9.8 (± 13.2) months. Most patients (93%) were alive at the time of data collection; the small proportion of deceased patients (7%) had a mean (SD) time to death of 22.4 (± 12.6) months. Patients’ demographics were similar across the cohort from each country.

Demographic characteristics.

VariableAllMaintenance patientsNonmaintenance patients
n33725312

Age at diagnosis, yearsMean (SD)58.7 (7.7)58.9 (8.0)58.6 (7.7)

Sex, n (%)MaleFemale192 (57)145 (43)15 (60)10 (40)177 (57)135 (43)

MM stage at diagnosis, n (%)SmoulderingStage IStage IIStage IIIUnknown9 (3)32 (9)113 (34)180 (53)3 (1)2 (8)1 (4)8 (32)13 (52)1 (4)7 (2)31 (10)105 (34)167 (54)2 (1)

Time from diagnosis to ASCT, monthsMean (SD)9.8 (13.2)8.4 (6.9)10.0 (13.6)

Living status, n (%)AliveDead315 (93)22 (7)25 (100)290 (93)22 (7)

Country, n (%)

France73 (22)7 (28)66 (21)

Italy60 (18)1 (4)59 (19)

Germany74 (22)9 (36)65 (21)

Spain69 (20)6 (24)63 (20)

UK61 (18)2 (8)59 (19)

ASCT: Autologous stem cell transplant; SD: Standard deviation.

ASCT: Autologous stem cell transplant; SD: Standard deviation. Mean follow-up time for patients was 18.7 months from their initial ASCT; 21.2 and 18.5 months for maintenance and nonmaintenance therapy patients, respectively.

Treatment patterns & lines of therapy

Following the first ASCT and as part of first-line therapy (i.e., until receiving second-line therapy), 71% of patients (n = 240) did not receive any further drug therapy; 21% (n = 72) received consolidation therapy only, and 5% (n = 16) received maintenance therapy only as part of their first-line treatment. In total, 3% of patients received both consolidation and maintenance therapy; therefore, overall 24% of patients (n = 81) received consolidation therapy and 7% (n = 25) received maintenance therapy. Higher usage of maintenance therapy was seen in France, Germany and Spain (6–9%) compared with UK and Italy. During the observation period (from initial post-ASCT treatment to the most recent treatment date) overall, 61% of patients received only one line of treatment, 27% received a total of two lines and 12% three or more lines; 7% received a second ASCT. Patients who received maintenance therapy (maintenance patients) were, on average, more likely to receive a lower number of treatment lines compared with patients who did not receive any maintenance therapy at first-line (nonmaintenance patients; 1.2 vs 1.6 lines, respectively). In total, 40% of nonmaintenance patients went on to receive two or more lines of drug therapy; whereas only 20% of maintenance patients progressed to second-line therapy, and none progressed to third line (Table 2).

Therapy lines received by maintenance and nonmaintenance patients.

Maximum number of lines received to date, n (%)All (n = 337)Maintenance patients (n = 25)Nonmaintenance patients (n = 312)
1 line207 (61)20 (80)187 (60)

2 lines91 (27)5 (20)86 (28)

3 lines32 (9)032 (10)

4 lines6 (2)06 (2)

5 lines000

6 lines<1 (1)0<1 (1)

Overview of therapies

Treatment regimens

Most patients who received maintenance therapy at first line were prescribed lenalidomide monotherapy (88%); 8% received bortezomib and 4% received thalidomide. A thalidomide plus bortezomib combination was the most frequently prescribed consolidation treatment in nonmaintenance patients (68%). Lenalidomide was the most frequently prescribed therapy across both second-line and third-line for nonmaintenance patients. Lenalidomide-based regimens were the most frequently prescribed treatments for both maintenance and nonmaintenance patients (40 and 59%, respectively) at second line, and for nonmaintenance patients at third line (26%). None of the patients who received maintenance therapy at first line progressed to third line.

Duration of response

TTP was longer for maintenance patients compared with nonmaintenance patients: 39.0 months for maintenance patients (95% confidence interval: 31–not reached [months]; n = 25) and 30.0 months for nonmaintenance patients (95% confidence interval: 27–32 [months]; n = 312) (Figure 2).

Kaplan–Meier chart showing the time to progression from first-line treatment.

For nonmaintenance patients, the estimated median TTP from the start of second-line treatment was 13 months (n = 104). Only five maintenance patients were reported to be receiving second-line therapy, as a result of the low base and no progression from second line, an estimated median TTP could not be calculated for these patients. In total, 13% of these patients at third line (n = 5) took a mean duration of 3.6 months to disease progression (an estimated median TTP could not be calculated owing to a low sample size).

Supportive treatments

Over the course of first-line treatment following ASCT, the mean number of different supportive therapies given was 3.48 overall: 6.36 for maintenance patients and 3.25 for nonmaintenance patients. The most frequently prescribed supportive treatments were antibiotics (given to 60% of patients overall: 72% of maintenance patients and 59% of nonmaintenance patients), followed by bisphosphonates (54% overall: 68% maintenance and 53% nonmaintenance) and analgesics (50% overall: 72% maintenance and 45% nonmaintenance). All patients who were given maintenance therapy received at least one type of supportive therapy; whereas 15% of nonmaintenance patients did not receive any supportive treatments during first-line therapy. The most popularly prescribed supportive treatments and the most frequently conducted monitoring tests were the same across all three treatment lines. Similar to the first-line results described above, the most frequently prescribed supportive treatments over the course of second and third lines of treatment were antibiotics (48% at second line; 62% at third line) and analgesics (42% at second line; 31% at third line). In total, 16% of all patients at second line and 18% of all patients at third line did not require any supportive treatments.

HCRU-associated costs

Of the 337 patients, 91 (14 France, 22 Germany, 17 Italy, 26 Spain and 12 UK) had the complete resource use data across their treatment pathway and had a follow-up time of 15 months. These 91 patients had a mean age of 60 (SD 7.7), and 55% were male. Units were calculated per month for all patients (patients with missing data were excluded from unit resource calculations) for hospitalizations, HCP visits and monitoring tests. Across the observed resources, nonmaintenance patients had a higher number of HCRU units per month versus maintenance patients (Figure 3). The total cost of HCRU following first-line ASCT was €945.80 per patient per month (excluding the cost of active drug therapies). Patients receiving maintenance therapy (n = 14) had an associated HCRU cost of €638.14 per month compared with €1001.74 per patient per month for nonmaintenance patients (n = 77).

Healthcare resource utilization unit analysis: units calculated per month over the course of the patient's treatment pathway, from post autologous stem cell transplant at first-line onwards.

ER: Emergency room; HCP: Healthcare professional; HCRU: Healthcare resource utilization; ICU: Intensive care unit.

Healthcare resource utilization unit analysis: units calculated per month over the course of the patient's treatment pathway, from post autologous stem cell transplant at first-line onwards.

ER: Emergency room; HCP: Healthcare professional; HCRU: Healthcare resource utilization; ICU: Intensive care unit. The type of resource use recorded differed between the two groups (Table 3). Compared with nonmaintenance patients, maintenance patients incurred a greater expenditure on supportive drugs (€442.52 vs €250.15 per patient, respectively) and other supportive treatments (€55.12 vs €22.18, respectively). However, expenditure on hospitalization, HCP visits and monitoring tests was higher for nonmaintenance patients (hospitalizations: €243.12 vs €59.78; HCP visits: €498.58 vs €181.11; monitoring tests: €198.48 vs €84.20 per patient, respectively).

Healthcare resource utilization–associated costs by maintenance and nonmaintenance patients.

Cost per month across treatment pathway, €All (n = 337)Maintenance patients (n = 25)Nonmaintenance patients (n = 312)

 nMean (SD) €nMean (SD) €nMean (SD) €
Total HCRU91945.80 (1060.88)14638.14 (547.80)771001.74 (1122.88)

Hospitalizations261226.97 (1001.56)2359.78 (131.00)238243.12 (1046.86)

Supportive drugs328264.81 (580.95)25442.52 (626.51)303250.15 (575.69)

Supportive treatments§33024.68 (113.96)2555.12 (193.21)30522.18 (105.00)

HCP visits152460.99 (670.66)18181.11 (192.23)134498.58 (702.79)

Monitoring tests203187.22 (328.00)2084.20 (72.81)183198.48 (342.87)

†Including ER and ICU admissions.

‡Including bisphosphonates (IV/oral), steroids, low molecular weight heparin, aspirin and denosumab.

§Including blood transfusions and dialysis.

ER: Emergency room; HCP: Healthcare professional; HCRU: Healthcare resource utilization; ICU: Intensive care unit; IV: Intravenous; SD: Standard deviation.

†Including ER and ICU admissions. ‡Including bisphosphonates (IV/oral), steroids, low molecular weight heparin, aspirin and denosumab. §Including blood transfusions and dialysis. ER: Emergency room; HCP: Healthcare professional; HCRU: Healthcare resource utilization; ICU: Intensive care unit; IV: Intravenous; SD: Standard deviation. Applying tariffs for the other four countries revealed a similar pattern of greater total costs being incurred in nonmaintenance versus maintenance patients (Table 4). The lowest total cost was observed when using the tariffs for Italy and the highest cost was observed when applying the tariffs from the UK.

Total healthcare resource utilization–associated costs by maintenance and nonmaintenance patients and by country.

Total cost per month across treatment pathway, €All (n = 337)Maintenance patients (n = 25)Nonmaintenance patients (n = 312)

 nMean (SD) €nMean (SD) €mMean (SD) €
UK tariff analysis91945.80 (1060.88)14638.14 (547.80)771001.74 (1122.88)

France tariff analysis91446.51 (810.25)14260.86 (235.50)77480.26 (872.04)

Germany tariff analysis91562.58 (1005.59)14402.86 (412.07)77591.62 (1078.37)

Italy tariff analysis91407.96 (453.77)14238.29 (222.78)77438.81 (478.63)

Spain tariff analysis91620.07 (943.31)14301.00 (219.56)77678.08 (1011.61)

HCRU: Healthcare resource utilization; SD: Standard deviation.

HCRU: Healthcare resource utilization; SD: Standard deviation.

Discussion

The introduction of novel agents such as lenalidomide as maintenance therapy after transplant represented a major advance in the management of MM; it is therefore timely to review how clinicians are employing the available therapies and the benefits for their patients [6,7,8]. Real-world data describing the management of MM patients are limited and therefore this study reports treatment practice patterns, patient clinical outcomes and HCRU for a representative cohort of patients receiving treatment for MM in a real-world setting across five European countries. Additionally, recently conducted clinical studies (CALGB and IFM) have proven the longer PFS value of maintenance treatment, namely lenalidomide; however, the cost of this extended remission period on resource use (i.e., supportive therapies, hospital visits and monitoring) also requires consideration. An appreciation of costs and resource use are pivotal to ensuring appropriate use of available resources to enable patients to have access to new therapies and are able to benefit from developments in the management of this disorder. This study provides valuable insights into current management of MM patients eligible to receive ASCT in Europe, including clinical outcomes and resource use, thus contributing to the published literature which aims to clarify some of these issues. In particular, this study reveals that maintenance therapy following ASCT is now entering routine clinical practice and provides clinical meaningful benefits, in agreement with the results from clinical trials. The study also reveals that maintenance therapy can delay progression to further lines of therapy and reduce resource use – outcomes that are likely to facilitate the management of MM. The patients included in this study are considered to be representative of patients undergoing ASCT in the five European countries, as minimal screening criteria were implemented for both patients and physicians. Additionally, the patient samples observed in this real-world study are reflective of the patient demographics data reported in Raab et al. 2016, another large European chart review of MM patients completed by treating physicians, thus the findings from this study can be extrapolated to routine clinical practice across Europe [10]. Owing to the small sample of maintenance patients in the current study, statistical analysis could not be carried out to compare patients who did and did not receive first-line maintenance therapy post-ASCT. As a result, descriptive statistical analysis was completed and any comparative results should be interpreted with caution. There were a number of notable findings. Following the initial ASCT, 71% of the total study samples did not receive any drug therapy; 7% of patients (n = 25) received maintenance therapy and in most cases (88%) this was lenalidomide. Only 20% of maintenance therapy patients progressed to second-line therapy, and none progressed to third line in the observation period. Median TTP was 9 months longer in patients who received maintenance therapy post-ASCT compared with those who did not (median TTP of 39 vs 30 months, respectively). The TTP data for patients not receiving maintenance therapy (30 months) are comparable to recently published pooled PFS data from large randomized controlled trials (25 months) [26]. A retrospective chart review, conducted by Yang et al. 2017, identified a PFS of 41.7 months for MM patients who had received lenalidomide maintenance therapy post-ASCT [27]. According to McCarthy et al. 2012, although a cure is currently not possible in most patients, maintenance of a prolonged progression-free interval is an important goal in MM management [14]. Additionally, TTP decreases with increasing lines of therapy, which supports the rationale for delaying progression to later lines of therapy with maintenance treatment. The results of this study also highlight that there is a continued HCRU impact post-ASCT, even if patients are not receiving any active ongoing treatment (i.e., maintenance therapy). The study results presented suggested that across the treatment pathway, total monthly HCRU-associated costs were lower in maintenance compared with nonmaintenance patients. HCP visits account for a significant proportion of HCRU costs, particularly for nonmaintenance patients and hospitalizations account for 20% of costs for nonmaintenance patients, whereas this cost is <10% of total costs for maintenance patients. The lower hospitalization resource use for maintenance patients highlights the implication of reduced pressure on hospital beds and HCP in-patient services going forward. This same pattern was observed across markets when each country's respective costs were applied. The HCRU costing data observed within this study need to be taken into consideration with the cost of any active drug therapies that the patient may be receiving. However, as resource use was captured across the entire follow-up period, we are unable to derive whether an intense period of resource use occurred at a specific time point. Overall, treatment patterns of the patient cohort in this study are generally comparable to those reported previously; for example, in the Raab et al. 2016 chart review nearly half of the 7635 included patients (47%) were currently undergoing antitumor drug treatment, mostly at first line [10]. Overall use of maintenance therapy at first line was 12%, which is higher than the 7% found in this study; but similarly, lenalidomide was the most commonly used first-line maintenance therapy (45%) and second- and third-line agent overall [10]. Both studies suggest that first- and subsequent-line treatment practices are comparable across Europe; and that up-to-date recommendations are generally being followed [3,11]. Similar to the current study, Yong et al. 2016 (in a further analysis of the Raab et al. 2016 chart review) noticed that TTP decreased in later treatment lines [28]. The supportive treatments used by the patients were also comparable [28]. There is currently only limited published data on treatment patterns in newly diagnosed multiple myeloma patients; our study is providing important additions to current evidence. In a literature search and systematic review of the economic evaluations of novel therapeutic agents in MM, Aguiar et al. 2016 argued that current economic evidence for novel agents is poor; only eight studies could be included and most found that novel agents were generally cost effective at a threshold of up to $100,000 per quality-adjusted life year, but the reporting quality of the studies was low and there was large variation in methodologies [29]. This highlights the importance of the HCRU-associated cost analyses included in the current study. The results reflect the lack of consensus over the standard of care or optimal choice of treatments for MM and how treatment practices are likely to evolve as more evidence is gathered on newer agents. Drug treatment choice depends on a number of factors including previous therapies, the individual characteristics of the patient and their disease status, and local guidelines and reimbursement policies. The approval of lenalidomide in this new indication is expected to increase the use of maintenance therapy post-ASCT. When considered in isolation, the increased adoption of lenalidomide maintenance therapy may appear to have cost implications; however, its use may offset overall costs in two main ways: it will delay relapse, saving hospital resources; and the choice of second-line treatment will be impacted, as patients who relapse on lenalidomide maintenance therapy will not proceed to lenalidomide-based triplet options in later lines of treatment. Since 2015, new agents including the proteasome inhibitor ixazomib, monoclonal antibodies daratumumab and elotuzumab, and the histone deacetylase inhibitor panobinostat have been approved for the treatment of relapsed and/or refractory MM, and offer further treatment options that may change the therapeutic landscape again and help to avoid the need for multiple lines of therapy [30,31,32]. This study has a number of strengths. For example, it included multiple sites and countries, the setting was reflective of real-world practice and all MM patients were observed (with minimal screening criteria) rather than a subset of patients as would be the case in an interventional clinical trial. Understanding real-world practice is important when making decisions about new treatments, influencing future clinical studies and research and development; the data obtained from real-world practice provides insight into how new agents can be used in treatment pathways [10]. On the other hand, there are also a number of limitations that should be borne in mind when considering the results. The study included only a small sample of maintenance patients so the comparative results need to be interpreted cautiously. This may be a reflection of maintenance prescribing post-ASCT being a relatively recent treatment phenomenon; moreover, during the observation period, lenalidomide was not reimbursed as a maintenance treatment, having recently received EMA approval (February 2017) [3]. As with all studies of this type, a key limitation is the reliance on accurate and complete medical records and data collection. However, a number of quality control steps were incorporated into the design to minimize the impact of this. Also, pilot interviews with physicians were undertaken to ensure that the eCRFs were user friendly. The possibility of a physician selection bias is also a limitation; although steps were taken to mitigate this bias by recruiting a range of physicians from different regions, practice types and sizes, a prospective study is needed to address these issues.

Conclusion

In conclusion, this study highlights the different treatment pathways that are employed post-ASCT and the extent of current maintenance therapy usage, which is likely to increase owing to the recent indication approval of lenalidomide for maintenance monotherapy treatment. The results suggest that patients who receive maintenance therapy at first line have delayed disease progression (as maintenance therapy prolongs the remission period compared with patients who do not receive any maintenance therapy). As the remission period is prolonged, future treatment lines will be deferred; previous research has shown that lenalidomide maintenance treatment achieves this without deterioration in health-related quality of life [33]. Furthermore, the prolonged remission may also spread the burden of HCRU along the treatment pathway (i.e., deferred costs of subsequent MM treatment and reducing the overall monthly HCRU cost relating to hospitalizations, HCP visits and monitoring), thus assisting healthcare services with the allocation of resources across patients. Further studies are needed to support these conclusions and to inform health economic analyses.

Future perspective

MM is a disease associated with vast clinical and genetic heterogeneity. Current research indicates miscellany in the management and treatment of MM, highlighting the need for alignment across clinical practice for patients. As the life expectancy of our population increases, MM will undoubtedly become a disease primarily associated with the elderly. Long-term treatments are now increasingly being favored in practice; however, it is imperative to ensure optimum patient outcomes and efficient use of HCRU throughout the patient's life span. For example, the introduction of novel agents and the recently approved indication for lenalidomide, as a maintenance treatment, have proven to significantly increase both patient and clinical outcomes, specifically overall survival and PFS, for these patients when implemented within the early stages of treatment, in other words, first line. However, this extension of life is associated with a further burden of increasing comorbidities, frailty and high-risk disease for this patient population; all of which can be under-represented in the results produced by large multicenter trials, necessitated by national funding bodies. Furthermore, studies have also shown that as patients relapse, the qualitative and quantitative burden increases. By treating patients earlier and keeping them in remission for longer during the early stages of treatment, the overall quality of the treatment experience is improved. Further real-world data will be essential to assess how to most effectively utilize clinical interventions for these individuals in order for novel treatments to remain cost effective. Additional research could be conducted within the USA as maintenance therapy with lenalidomide post-transplant is currently the standard of care, to further quantify and validate the initial findings presented within this paper. The outlook for patients with MM has changed considerably over the last decade, and with the increasing adoption of novel agents, improving response rates and toxicity profiles, the field will continue to evolve. The introduction of novel agents such as lenalidomide as maintenance therapy post autologous stem cell transplant (ASCT) represented a major advancement in the management of multiple myeloma. Study results found that a high proportion of the patient sample did not go on to receive further drug therapy post-ASCT. Of the patients who did receive maintenance therapy, majority were given lenalidomide monotherapy. Only a fifth of maintenance therapy patients progressed to second-line therapy, and none progressed to third line in the observation period. Patients receiving maintenance therapy took longer to progress from first line versus patients not receiving any maintenance treatment up until progression. Median time to progression was longer in patients who received maintenance therapy post-ASCT compared with those who did not. Data indicate that patients receiving lenalidomide maintenance therapy have a lower monthly healthcare resource utilization versus patients who do not receive any maintenance treatment. Click here for additional data file.
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Review 1.  Consolidation and maintenance therapy for multiple myeloma after autologous transplantation: where do we stand?

Authors:  M Mohty; P G Richardson; P L McCarthy; M Attal
Journal:  Bone Marrow Transplant       Date:  2015-04-20       Impact factor: 5.483

2.  Multiple myeloma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

Authors:  P Moreau; J San Miguel; P Sonneveld; M V Mateos; E Zamagni; H Avet-Loiseau; R Hajek; M A Dimopoulos; H Ludwig; H Einsele; S Zweegman; T Facon; M Cavo; E Terpos; H Goldschmidt; M Attal; C Buske
Journal:  Ann Oncol       Date:  2017-07-01       Impact factor: 32.976

3.  Multiple Myeloma, Version 3.2017, NCCN Clinical Practice Guidelines in Oncology.

Authors:  Shaji K Kumar; Natalie S Callander; Melissa Alsina; Djordje Atanackovic; J Sybil Biermann; Jason C Chandler; Caitlin Costello; Matthew Faiman; Henry C Fung; Cristina Gasparetto; Kelly Godby; Craig Hofmeister; Leona Holmberg; Sarah Holstein; Carol Ann Huff; Adetola Kassim; Michaela Liedtke; Thomas Martin; James Omel; Noopur Raje; Frederic J Reu; Seema Singhal; George Somlo; Keith Stockerl-Goldstein; Steven P Treon; Donna Weber; Joachim Yahalom; Dorothy A Shead; Rashmi Kumar
Journal:  J Natl Compr Canc Netw       Date:  2017-02       Impact factor: 11.908

4.  Post-Transplant Outcomes in High-Risk Compared with Non-High-Risk Multiple Myeloma: A CIBMTR Analysis.

Authors:  Emma C Scott; Parameswaran Hari; Manish Sharma; Jennifer Le-Rademacher; Jiaxing Huang; Dan Vogl; Muneer Abidi; Amer Beitinjaneh; Henry Fung; Siddhartha Ganguly; Gerhard Hildebrandt; Leona Holmberg; Matt Kalaycio; Shaji Kumar; Robert Kyle; Hillard Lazarus; Cindy Lee; Richard T Maziarz; Kenneth Meehan; Joseph Mikhael; Taiga Nishihori; Muthalagu Ramanathan; Saad Usmani; Jason Tay; David Vesole; Baldeep Wirk; Jean Yared; Bipin N Savani; Cristina Gasparetto; Amrita Krishnan; Tomer Mark; Yago Nieto; Anita D'Souza
Journal:  Biol Blood Marrow Transplant       Date:  2016-08-02       Impact factor: 5.742

5.  Patterns of total cost and economic consequences of progression for patients with newly diagnosed multiple myeloma.

Authors:  Steven R Arikian; Dejan Milentijevic; Gary Binder; Craig J Gibson; X Henry Hu; Yasir Nagarwala; Mohamad Hussein; Frank A Corvino; Andy Surinach; Saad Z Usmani
Journal:  Curr Med Res Opin       Date:  2015-04-17       Impact factor: 2.580

Review 6.  Current therapeutic strategies for multiple myeloma.

Authors:  Yoshihiro Torimoto; Motohiro Shindo; Katsuya Ikuta; Yutaka Kohgo
Journal:  Int J Clin Oncol       Date:  2015-04-09       Impact factor: 3.402

7.  Lenalidomide Maintenance After Autologous Stem-Cell Transplantation in Newly Diagnosed Multiple Myeloma: A Meta-Analysis.

Authors:  Philip L McCarthy; Sarah A Holstein; Maria Teresa Petrucci; Paul G Richardson; Cyrille Hulin; Patrizia Tosi; Sara Bringhen; Pellegrino Musto; Kenneth C Anderson; Denis Caillot; Francesca Gay; Philippe Moreau; Gerald Marit; Sin-Ho Jung; Zhinuan Yu; Benjamin Winograd; Robert D Knight; Antonio Palumbo; Michel Attal
Journal:  J Clin Oncol       Date:  2017-07-25       Impact factor: 44.544

8.  Lenalidomide after stem-cell transplantation for multiple myeloma.

Authors:  Philip L McCarthy; Kouros Owzar; Craig C Hofmeister; David D Hurd; Hani Hassoun; Paul G Richardson; Sergio Giralt; Edward A Stadtmauer; Daniel J Weisdorf; Ravi Vij; Jan S Moreb; Natalie Scott Callander; Koen Van Besien; Teresa Gentile; Luis Isola; Richard T Maziarz; Don A Gabriel; Asad Bashey; Heather Landau; Thomas Martin; Muzaffar H Qazilbash; Denise Levitan; Brian McClune; Robert Schlossman; Vera Hars; John Postiglione; Chen Jiang; Elizabeth Bennett; Susan Barry; Linda Bressler; Michael Kelly; Michele Seiler; Cara Rosenbaum; Parameswaran Hari; Marcelo C Pasquini; Mary M Horowitz; Thomas C Shea; Steven M Devine; Kenneth C Anderson; Charles Linker
Journal:  N Engl J Med       Date:  2012-05-10       Impact factor: 91.245

9.  Multiple myeloma: patient outcomes in real-world practice.

Authors:  Kwee Yong; Michel Delforge; Christoph Driessen; Leah Fink; Alain Flinois; Sebastian Gonzalez-McQuire; Reza Safaei; Lionel Karlin; Maria-Victoria Mateos; Marc S Raab; Paul Schoen; Michele Cavo
Journal:  Br J Haematol       Date:  2016-07-13       Impact factor: 6.998

10.  Cost of illness in patients with multiple myeloma in Italy: the CoMiM study.

Authors:  Maria Teresa Petrucci; Elisabetta Calabrese; Anna Levi; Vincenzo Federico; Michela Ceccolini; Rita Rizzi; Alessandro Gozzetti; Patrizia Falco; Carlo Lazzaro; Elisa Martelli; Mario Boccadoro; Francesco Lauria; Vincenzo Liso; Michele Cavo; Robert Foa
Journal:  Tumori       Date:  2013 Jul-Aug
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  2 in total

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

Authors:  Monia Marchetti; Robert Peter Gale; Giovanni Barosi
Journal:  Mediterr J Hematol Infect Dis       Date:  2021-05-01       Impact factor: 2.576

2.  Usability of German hospital administrative claims data for healthcare research: General assessment and use case of multiple myeloma in Munich university hospital in 2015-2017.

Authors:  Amal AlZahmi; Irena Cenzer; Ulrich Mansmann; Helmut Ostermann; Sebastian Theurich; Tobias Schleinkofer; Karin Berger
Journal:  PLoS One       Date:  2022-07-28       Impact factor: 3.752

  2 in total

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