Summary
With increasing number of therapies available for the treatment of multiple myeloma, it is timely to examine the course of patients' journeys. We investigated patient characteristics, ...treatment durations and outcomes, and symptom burden across the treatment pathway in Belgium, France, Germany, Italy, Spain, Switzerland and the UK. In total, 435 physicians retrospectively reviewed 4997 patient charts. Profiles of patients diagnosed with multiple myeloma during the last 12 months were similar across countries; bone pain was the most common presentation. Median duration of first‐line therapy was 6 months, followed by a median treatment‐free interval of 10 months; both these decreased with increasing lines of therapy, as did time to progression. Depth of response, as assessed by the treating physician, also decreased with each additional line of therapy: 74% of patients achieved at least a very good partial response at first line, compared with only 11% at fifth line. Deeper responses were associated with longer time to progression, although these were physician‐judged. Toxicities and co‐morbidities increased with later treatment lines, and were more likely to have led to discontinuation of treatment. These real‐world data provide an insight into patient outcomes and treatment decisions being made in clinical practice.
Summary
Real‐world data describing management of patients with multiple myeloma are limited. A European (Belgium, France, Germany, Italy, Spain, Switzerland, UK) observational chart review was ...conducted to address this. Physicians completed questionnaires for every patient seen during a 2–4‐week observation period, regardless of treatment status. A total of 435 physicians completed 7635 cross‐sectional chart reviews. Overall, 47% of patients were undergoing anti‐tumour drug treatment, 42% had previously received ≥1 line of treatment and 12% had never received anti‐tumour drug treatment. Of the patients treated by oncologists, onco‐haematologists or internists, 95% received, or were expected to receive, at least one line of anti‐tumour drug treatment, 61% received ≥2 lines of therapy and 38% received ≥3 lines. Except in the UK, the most commonly used induction therapies contained bortezomib (48%); lenalidomide was the most commonly used first‐line maintenance therapy (45%) and second‐ and third‐line agent overall (60% and 52% of patients at those lines, respectively). Bortezomib retreatment was used in 47% of patients who received it first line. Treatment patterns became more diverse with subsequent treatment lines. This study provides insight into real‐world treatment patterns in Europe. While treatment practices are broadly similar across countries, some notable differences in the agents used exist.
Summary
Multiple myeloma (MM) is a malignancy with varying survival outcomes and drivers of disease progression. Existing MM staging tools were developed using data from newly diagnosed patients. As ...patient characteristics and disease‐related factors change between diagnosis and the initiation of second‐line (2L) treatment, an unmet need exists for a tool that can evaluate risk of death at first relapse. We have developed a risk stratification algorithm (RSA) using data from patients with MM who were at 2L. Hazard ratios for independent predictors of overall survival (OS) were derived from a Cox models, and individual patient scores were calculated for total risk. K‐adaptive partitioning for survival was used to stratify patients into groups based on their scores. Relative risk doubled with ascending risk group; median OSs for patients in group 1 (lowest risk)–4 (highest risk) were 61·6, 29·6, 14·2 and 5·9 months, respectively. Differences in OS between risk groups were significant. Similar stratification was observed when the RSA was applied to an external validation data set. In conclusion, we have developed a validated RSA that can quantify total risk, frailty risk and disease aggressiveness risk, and stratify patients with MM at 2L into groups with profoundly different survival expectations.
Multiple myeloma (MM) accounts for 10% of hematological cancers. Stem cell transplantation remains the cornerstone of first‐line treatment for eligible patients, but historically, pharmaceutical ...treatment options for MM have been limited. The proteasome was identified as a target for MM therapy in the early 2000s and, in 2004, the boronic acid proteasome inhibitor bortezomib gained European approval. Bortezomib now plays a major role in MM treatment, but the duration of its use can be limited by toxicities such as peripheral neuropathy and the development of resistance. A new generation of proteasome inhibitors has since entered the treatment landscape: carfilzomib, an epoxyketone‐based agent with a distinct mode of action, high clinical efficacy, and lower levels of peripheral neuropathy compared with bortezomib, received approval in 2015 for use in patients with relapsed and/or refractory MM (RRMM). Ixazomib, a second‐generation, orally administered, boronic acid proteasome inhibitor, has also been approved for use in patients with RRMM. In just over a decade, proteasome inhibitor‐based regimens have become an integral component of MM treatment; with more proteasome inhibitors in development, this remains a vibrant research area with potential to improve the lives of patients with MM in the years to come.
Objectives
This study aimed to provide real‐world data on the characteristics and treatment of patients with multiple myeloma (MM) at the time of death.
Methods
The study was a retrospective patient ...chart review across France, Germany, Italy, Spain and the UK during 2016, and included patients who had died in the 3 months before the index date.
Results
Data from 786 patients were reviewed. At the time of death, 37% of patients were receiving active treatment, 12% were in a treatment‐free interval and 51% were receiving only supportive care. Death before and during active first‐line treatment was not uncommon (6% and 24% of patients, respectively) but these deaths were often not solely due to disease progression; factors such as renal failure and infection frequently played a role (in 30% and 20% of patients at first‐line, respectively). Most deaths at later lines were due to progressive disease. Cox model results suggested that early deaths were associated with advanced disease stage, high‐risk cytogenetics and poor response and relapse profiles.
Conclusions
These real‐world data could be used to help develop strategies for improving survival in patients with MM and to support management tailored to the stage of disease.
Introduction: Biosimilars have the potential to enhance the sustainability of evolving health care systems. A sustainable biosimilars market requires all stakeholders to balance competition and ...supply chain security. However, there is significant variation in the policies for pricing, procurement, and use of biosimilars in the European Union. A modified Delphi process was conducted to achieve expert consensus on biosimilar market sustainability in Europe. Methods: The priorities of 11 stakeholders were explored in three stages: a brainstorming stage supported by a systematic literature review (SLR) and key materials identified by the participants; development and review of statements derived during brainstorming; and a facilitated roundtable discussion. Results: Participants argued that a sustainable biosimilar market must deliver tangible and transparent benefits to the health care system, while meeting the needs of all stakeholders. Key drivers of biosimilar market sustainability included: (i) competition is more effective than regulation; (ii) there should be incentives to ensure industry investment in biosimilar development and innovation; (iii) procurement processes must avoid monopolies and minimize market disruption; and (iv) principles for procurement should be defined by all stakeholders. However, findings from the SLR were limited, with significant gaps on the impact of different tender models on supply risks, savings, and sustainability. Conclusions: A sustainable biosimilar market means that all stakeholders benefit from appropriate and reliable access to biological therapies. Failure to care for biosimilar market sustainability may impoverish biosimilar development and offerings, eventually leading to increased cost for health care systems and patients, with fewer resources for innovation.
Registry data are important for monitoring the impact of new therapies on treatment algorithms and outcomes, and for guiding clinical decision making in multiple myeloma (MM). This observational ...study analyzed real-world data from patients in the Population-based HAematological Registry for Observational Studies who were treated for symptomatic MM from 2008 to 2013 in the Netherlands. The primary endpoint was overall survival (OS) from initiation of first-line treatment. Secondary endpoints included OS and progression-free survival per treatment line, treatment patterns, and treatment response. Between 2008 and 2013, 917, 583, 283, and 139 patients had initiated first, second, third, and fourth treatment lines, respectively. Thalidomide-based regimens were the most frequently used first-line treatment (66%); bortezomib- and lenalidomide-based regimens were most often used in the second line (41% and 27%, respectively). The median OS (95% confidence interval) ranged from 37.5 months (34.8-41.8 months) in the first line to 9.2 months (6.2-12.3 months) in the fourth line. Univariate analyses showed that survival benefits were most apparent in younger patients (≤65 vs >65 years). These analyses provide important real-world information on treatment patterns and outcomes in patients with MM.
Objectives and designA novel risk stratification algorithm estimating risk of death in patients with relapsed multiple myeloma starting second-line treatment was recently developed using ...multivariable Cox regression of data from a Czech registry. It uses 16 parameters routinely collected in medical practice to stratify patients into four distinct risk groups in terms of survival expectation. To provide insight into generalisability of the risk stratification algorithm, the study aimed to validate the risk stratification algorithm using real-world data from specifically designed retrospective chart audits from three European countries.Participants and settingPhysicians collected data from 998 patients (France, 386; Germany, 344; UK, 268) and applied the risk stratification algorithm.MethodsThe performance of the Cox regression model for predicting risk of death was assessed by Nagelkerke’s R2, goodness of fit and the C-index. The risk stratification algorithm’s ability to discriminate overall survival across four risk groups was evaluated using Kaplan-Meier curves and HRs.ResultsConsistent with the Czech registry, the stratification performance of the risk stratification algorithm demonstrated clear differentiation in risk of death between the four groups. As risk groups increased, risk of death doubled. The C-index was 0.715 (95% CI 0.690 to 0.734).ConclusionsValidation of the novel risk stratification algorithm in an independent ‘real-world’ dataset demonstrated that it stratifies patients in four subgroups according to survival expectation.
Introduction
Risk stratification tools provide valuable information to inform treatment decisions. Existing algorithms for patients with multiple myeloma (MM) were based on patients with newly ...diagnosed disease, and these have not been validated in the relapsed setting or in routine clinical practice. We developed a risk stratification algorithm (RSA) for patients with MM at initiation of second-line (2L) treatment, based on data from the Czech Registry of Monoclonal Gammopathies.
Methods
Predictors of overall survival (OS) at 2L treatment were identified using Cox proportional hazards models and backward selection. Risk scores were obtained by multiplying the hazard ratios for each predictor. The K-adaptive partitioning for survival (KAPS) algorithm defined four groups of stratification based on individual risk scores.
Results
Performance of the RSA was assessed using Nagelkerke’s
R
2
test and Harrell’s concordance index through Kaplan–Meier analysis of OS data. Prognostic groups were successfully defined based on real-world data. Use of a multiplicative score based on Cox modeling and KAPS to define cut-off values was effective.
Conclusion
Through innovative methods of risk assessment and collaboration between physicians and statisticians, the RSA was capable of stratifying patients at 2L treatment by survival expectations. This approach can be used to develop clinical decision-making tools in other disease areas to improve patient management.
Funding
Amgen Europe GmbH.
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