The transition from relapsing-remitting multiple sclerosis (RRMS) to secondary progressive multiple sclerosis (SPMS) evolves over time and it can be challenging for physicians to identify progression early. Typically, SPMS is diagnosed retrospectively with a significant delay, based on a history of gradual worsening, independent of relapses, following an initial relapsing-remitting disease course. As such, SPMS is often associated with a considerable period of diagnostic uncertainty. This study aimed to explore and characterize key symptoms and impacts associated with transitioning from RRMS to SPMS and inform the content for a tool to support evaluation of early subtle signs suggestive of progressive disease. Methods: The qualitative study involved 60-min, face-to-face, concept elicitation (CE) interviews with 32 patients with MS (US = 16 and Germany = 16); and 30-min, telephone, CE interviews with 16 neurologists (US = 8 and Germany = 8). Multivariate analysis on data from a real-world observational study of 3294 MS patients assessed the differences between early-RRMS and early-SPMS, and identified factors that were significant drivers of this difference. These studies informed selection of the key variables to be included in a pilot tool. Sixteen physicians used the pilot tool, presented as a paper questionnaire, with a sample of patients whom they suspected were progressing to SPMS (n ≥ 5). Following this, the physicians participated in a 30-min cognitive debriefing (CD) interview to evaluate the relevance and usefulness of the tool. Qualitative analysis of all anonymized, verbatim transcripts was performed using thematic analysis. Results: Patients and physicians reported signs that indicated progression to SPMS including gradual worsening of symptoms, lack of clear recovery, increased severity and presence of new symptoms. No specific symptoms definitively indicated progression to SPMS, however a number of potential symptoms associated with progression were identified by SPMS patients and physicians, including worsening ambulation, cognition, balance, muscle weakness, visual symptoms, bladder symptoms and fatigue. Quality of life domains reported to be more severely impacted in SPMS than MS in general included: physical activity, work, daily activities, emotional and social functioning. Multivariate analysis of the observational study data identified several variables strongly associated with progression to SPMS including, requirement of assistance in daily living, presence of motor symptoms, presence of ataxia/coordination symptoms, and unemployment. Physicians reported that items included in the tool were easy to understand and relevant. Physicians also reported that there is an unmet need for a tool to help identify signs of SPMS progression and so the tool would be useful in clinical practice. Conclusions: This was the first stage of development of a novel, validated, physician-completed tool to support

Background There is an unmet need for a tool that helps to evaluate patients who are at risk of progressing from relapsing-remitting multiple sclerosis to secondary progressive multiple sclerosis (SPMS). A new tool supporting the evaluation of early signs suggestive of progression in multiple sclerosis (MS) has been developed. In the initial stage, concepts relevant to progression were identified using a mixed method approach involving regression on data from a real-world observational study and qualitative research with patients and physicians. The tool was drafted in a questionnaire format to assess these variables. Objective This study aimed to develop the scoring algorithm for the tool, using both quantitative and qualitative research methods. Methods The draft scoring algorithm was developed using two approaches: quantitative analysis of real-world data and qualitative analysis based on physician interviews and ranking and weighting exercises. Variables that were included in the draft tool and regarded as most clinically relevant were selected for inclusion in a multiple logistic regression. The analyses were run using physician-reported data and patient-reported data. Subsequently, a ranking and weighting exercise was conducted with 8 experienced neurologists as part of semistructured interviews. Physicians were presented with the variables included in the draft tool and were asked to rank them in order of strength of contribution to progression and assign a weight by providing a percentage of the overall contribution. Physicians were also asked to explain their ranking and weighting choices. Concordance between physicians was explored. Results Multiple logistic regression identified age, MS disease activity, and Expanded Disability Status Scale score as the most significant physician-reported predictors of progression to SPMS. Patient age, mobility, and self-care were identified as the strongest patient-reported predictors of progression to SPMS. In physician interviews, the variables ranked and weighted as most important were stability or worsening of symptoms, intermittent or persistent symptoms, and presence of ambulatory and cognitive symptoms. Across all physicians, the level of concordance was 0.278 (P<.001), indicating a low to moderate, but statistically significant, level of agreement. Variables were categorized as high (n=8), moderate (n=8), or low (n=10) importance based on the findings from the different approaches described above. Accordingly, the respective questions in the tool were assigned a weight of “three,” “two,” or “one” to inform the draft scoring algorithm. Conclusions This study further confirms the need for a tool to provide a consistent, comprehensive approach across physicians to support the early evaluation of signs indicative of progression to SPMS. The novel and comprehensive approach to develop the draft scoring algorithm triangulates data obtained from ranking and weighting exercises, qualitative interviews, and a real-world observational study. Variables that go beyond the clinically most obvious impairment in lower limbs have been identified as relevant subtle/sensitive signs suggestive of progressive disease.

No abstract

IntroductionDimethyl fumarate (DMF) is a novel oral therapy used for the treatment of relapse-remitting multiple sclerosis (RRMS). In two 2-year pivotal Phase 3 trials in patients with RRMS, DMF significantly reduced disease activity based on both clinical and magnetic resonance imaging (MRI) findings and demonstrated an acceptable safety profile. However, there is currently a lack of comparative data which explore the relationship between work productivity and health-related quality of life (HRQoL) outcomes in RRMS and how these differ among RRMS therapies, including DMF.MethodsWe explored this relationship through patient-reported data from the EuroQol Five-Dimensions (EQ-5D) tool, Work Productivity and Activity Impairment Questionnaire (WPAI), and the Hamburg Quality of Life Questionnaire in Multiple Sclerosis (HAQUAMS) using the Adelphi MS DSP® dataset.ResultsOur data demonstrated that patients receiving DMF experienced better outcomes, relative to patients receiving beta (β)interferons or glatiramer acetate, in all WPAI subscales [overall; average treatment effect (ATE) −13.92, 95% confidence interval (CI) −18.87 to −7.08; p < 0.001], EQ-5D (ATE +0.075, 95% Cl 0.014–0.136; p = 0.016) and HAQUAMS [ATE −0.45, 95% Cl −0.61 to −0.29; p < 0.001]. The EQ-5D and HAQUAMS were used with WPAI to determine the relationship between HRQoL outcomes and work productivity. Multiple linear regression analyses were performed, adjusting for age, sex, body mass index, ethnicity and number of comorbid conditions.ConclusionsThese data demonstrate that therapy with DMF was associated with increased work productivity and HRQoL for patients with RRMS and that these outcomes were consistently improved compared to outcomes with interferon and glatiramer acetate therapies.

Implementation of guidelines can improve clinical practice. The aim in this study was to investigate whether neurologists in Germany adhered to the national Parkinson’s disease guideline. Data were obtained from a cross-sectional survey of 60 neurologists. Analyses were performed on 320 patients with idiopathic Parkinson’s disease with either low grades of functional impairment (Hoehn and Yahr stage I) or higher grades of functional impairment (stage II–V) but without motor complications. The sample was divided into four groups depending on age and grade of functional impairment. For each group, a biometric parameter on the use of dopamine agonists and L-dopa was defined based on the guideline. In patients aged <70 years, the recommendation to use dopamine agonists without L-dopa (parameter 1) was observed in 53% of patients with lower grades of functional impairment, whilst recommended use of dopamine agonists in more functionally impaired patients (parameter 2) was followed to a greater extent (84%). In patients aged ≥70 years, recommendations to use L-dopa without dopamine agonists were adhered to in only 50% of less functionally impaired (parameter 3) and 52% of more functionally impaired (parameter 4) patients. In conclusion, our results indicated there was moderate but not full adherence to the guideline.