Inclusion criteria used in trials of people with progressive multiple sclerosis

Transition to secondary progressive multiple sclerosis: The consequences for patients and healthcare systems, a healthcare professional survey

Background and Aims

Transition to secondary progressive multiple sclerosis (SPMS) from relapsing‐remitting MS (RRMS) is an expected part of the disease trajectory for most patients. However, the transition is challenging to identify due to the gradual nature of progression, and the complications of superimposed relapses, comorbidities, and natural variability in symptoms. This healthcare professional (HCP) survey sought to characterize the transition to and management of SPMS in UK clinical practice.

Methods

Telephone interviews with 20 neurologists and MS specialist nurses from England and Scotland gathered quantitative and qualitative responses. Numerical analyses and theoretical thematic methods were used to identify key emerging themes.

Results

The burden SPMS imposes on patients and caregivers was a major theme; discharge from specialist services is common, leading to a sense of abandonment. Respondents acknowledged substantial hesitancy toward identifying SPMS, predominantly due to restricted options of licensed and reimbursed disease‐modifying therapies (DMTs) for SPMS compared with RRMS. Currently, HCPs continue DMTs under a label of RRMS, even after recognition of progression. This survey identified MS to be unusual in comparison with other disease areas in that reimbursement guidelines have a direct impact on clinicians' decisions around disease staging. Respondents suggested reimbursed DMTs proven to slow disability progression in SPMS will create a step‐change in identifying SPMS, providing rationale to acknowledge progression earlier while removing key obstacles to identification. To aid this change, respondents identified a need for SPMS‐specific diagnostic guidance, despite substantial divergence in implementation of current guidance.

Conclusions

In contrast to the current heterogeneity, a more structured and standardized approach to the identification of SPMS, along with guidelines on treatment, will ensure patients can maximally benefit as treatment options for SPMS evolve.

Genomic, proteomic, and systems biology approaches in biomarker discovery for multiple sclerosis

Multiple sclerosis (MS) is a neuroinflammatory disorder characterized by autoimmune-mediated inflammatory lesions in CNS leading to myelin damage and axonal loss. MS is a heterogenous disease with variable and unpredictable disease course. Due to its complex nature, MS is difficult to diagnose and responses to specific treatments may vary between individuals. Therefore, there is an indisputable need for biomarkers for early diagnosis, prediction of disease exacerbations, monitoring the progression of disease, and for measuring responses to therapy. Genomic and proteomic studies have sought to understand the molecular basis of MS and find biomarker candidates. Advances in next-generation sequencing and mass-spectrometry techniques have yielded an unprecedented amount of genomic and proteomic data; yet, translation of the results into the clinic has been underwhelming. This has prompted the development of novel data science techniques for exploring these large datasets to identify biologically relevant relationships and ultimately point towards useful biomarkers. Herein we discuss optimization of omics study designs, advances in the generation of omics data, and systems biology approaches aimed at improving biomarker discovery and translation to the clinic for MS.

Can We Improve the Monitoring of People With Multiple Sclerosis Using Simple Tools, Data Sharing, and Patient Engagement?

Technological innovation is transforming traditional clinical practice, enabling people with multiple sclerosis (pwMS) to contribute health care outcome data remotely between clinic visits. In both relapsing and progressive forms of multiple sclerosis (MS), patients may experience variable disability accrual and symptoms throughout their disease course. The potential impact on the quality of life (QoL) in pwMS and their families and carers is profound. The introduction of treatment targets, such as NEDA (no evidence of disease activity) and NEPAD (no evidence of progression or active disease), that guide clinical decision-making, highlight the importance of utilizing sensitive instruments to measure and track disease activity and progression. However, the gold standard neurological disability tool—expanded disability severity scale (EDSS)—has universally recognized limitations. With strides made in our understanding of MS pathophysiology and DMT responsiveness, maintaining the status quo of measuring disability progression is no longer the recommended option. Outside the clinical trial setting, a comprehensive monitoring system has not been robustly established for pwMS. A 21st-century approach is required to integrate clinical, paraclinical, and patient-reported outcome (PRO) data from electronic health records, local databases, and patient registries. Patient and public involvement (PPI) is critical in the design and implementation of this workflow. To take full advantage of the potential of digital technology in the monitoring and care and QoL of pwMS will require iterative feedback between pwMS, health care professionals (HCPs), scientists, and digital experts.