Leveraging Real-World Evidence and Observational Studies in Treating Multiple Sclerosis

The relative risk of infection in people with multiple sclerosis using disease-modifying treatment: a systematic review of observational studies

BACKGROUND

Some disease-modifying treatments (DMTs) for multiple sclerosis (MS) increase the risk of infection, but it remains unknown how the risk compares between trials and observational studies.

OBJECTIVE

To assess the current state of observational research on the risk of infection in people with MS and using DMTs.

METHODS

PubMed and Embase were searched for observational studies published on or before 4 April 2023 describing infection in people with MS, with a comparison of at least 1 DMT to no DMT or another DMT. We examined which DMT contrasts and types of infection were studied and how often; and compared observational results of the most frequently studied DMT to trial data from a network meta-analysis.

RESULTS

Out of 5373 search records 22 papers were eligible, of which 5 reported relative risks (RRs). In total, 9 DMTs were studied. Out of 45 possible contrasts, 9 were not studied, and 19 once. The most assessed specific type of infection was neurological (n = 11/22 studies). Natalizumab was the most studied DMT contrasting 7 other DMTs or no DMT, with 12 RRs reported. Point estimates of the RRs (compared to no DMT) for respiratory and urinary tract infections were in opposite direction compared to trial data.

CONCLUSION

Observational study data on the risk of infection in people with MS on DMT are sparse. The growing availability of real-world data on MS and DMT use provides an opportunity to study specific infections on DMT, which is particularly valuable to populations underrepresented in trials.

Real-world persistence and adherence of ofatumumab versus oral and injectable disease-modifying therapies in patients with multiple sclerosis

BACKGROUND

Ofatumumab (OMB) was approved as a self-injectable disease-modifying therapy (DMT) for relapsing multiple sclerosis (MS) in August 2020. This study aimed to examine treatment persistence and adherence of OMB to oral and platform self-injectable DMTs in a real-world setting.

METHODS

This was a retrospective cohort study using IQVIA Pharmetrics Plus® in adults diagnosed with MS and treated with OMB, oral DMTs, or platform self-injectable DMTs (index treatment) between August 2020 and November 2021. Patients had at least 12 months of continuous enrollment before the index date and 6 months of follow-up after the index date; the index date was defined as the date of the first pharmacy claim for an index treatment. Inverse probability of treatment weighting (IPTW) analysis was used to account for differences in baseline characteristics among patients initiating OMB versus oral DMTs and, separately, OMB versus platform self-injectable DMTs. Persistence was defined as the number of days from the index date until the earliest time of discontinuation (>60-day gap) or switch to a new DMT. Adherence was calculated based on proportion of days covered (PDC) with adherence defined as PDC ≥0.8. Persistence and adherence were compared between OMB versus oral DMTs and OMB versus platform self-injectable DMTs. Persistence was assessed via Kaplan-Meier analyses of the weighted sample, and log-rank tests were used to compare time to treatment discontinuation and treatment switch. The proportion of patients adherent at 6 and 12 months post index were compared using chi-square tests.

RESULTS

A total of 11,167 patients were identified with an incident claim of OMB, an oral DMT, or a platform self-injectable DMT. After applying all inclusion and exclusion criteria and IPTW, two sets of study cohorts were created. For the oral DMT analysis, 577 patients treated with OMB and 2,468 patients treated with oral DMTs were identified. For the self-injectable DMT analysis, 574 patients treated with OMB and 578 patients treated with a platform self-injectable DMT were identified. At 6- and 12-month follow-up, the proportion of patients who were persistent on DMT was higher in the OMB cohort compared with the oral DMT cohort (6 months: 79.9% vs. 75.4 %, 12 months: 71.4% vs. 62.9 %; p < 0.05), as well as in the OMB cohort compared with the self-injectable DMT cohort (6 months: 79.3% vs. 60.4 %, 12 months: 71.5% vs. 48.7 %; p < 0.0001). A similar proportion of patients were adherent to OMB versus oral DMTs at 6- and 12-months post index, whereas a higher proportion of patients treated with OMB versus platform self-injectable DMTs were adherent at 6- and 12-months post index.

CONCLUSIONS

OMB showed better persistence and adherence compared with platform self-injectable DMTs, as well as better persistence compared with oral DMTs. This real-world analysis provides additional insights into OMB utilization among patients with MS in clinical practice and demonstrates that OMB is a valuable treatment option for these patients.

A future of AI-driven personalized care for people with multiple sclerosis

Multiple sclerosis (MS) is a devastating immune-mediated disorder of the central nervous system resulting in progressive disability accumulation. As there is no cure available yet for MS, the primary therapeutic objective is to reduce relapses and to slow down disability progression as early as possible during the disease to maintain and/or improve health-related quality of life. However, optimizing treatment for people with MS (pwMS) is complex and challenging due to the many factors involved and in particular, the high degree of clinical and sub-clinical heterogeneity in disease progression among pwMS. In this paper, we discuss these many different challenges complicating treatment optimization for pwMS as well as how a shift towards a more pro-active, data-driven and personalized medicine approach could potentially improve patient outcomes for pwMS. We describe how the 'Clinical Impact through AI-assisted MS Care' (CLAIMS) project serves as a recent example of how to realize such a shift towards personalized treatment optimization for pwMS through the development of a platform that offers a holistic view of all relevant patient data and biomarkers, and then using this data to enable AI-supported prognostic modelling.

Understanding multiple sclerosis as a disease spectrum: above and below the clinical threshold

PURPOSE OF REVIEW

Research in multiple sclerosis (MS) has long been predicated on clinical groupings that do not reflect the underlying biologic heterogeneity apparent within patient populations. This review explicates the various levels of explanation through which the spectrum of disease is described and investigated both above and below the clinical threshold of detection, as framed by the topographical model of MS, to help advance a cogent mechanistic framework.

RECENT FINDINGS

Contemporary evidence has amended the view of MS as consisting of sequential disease phases in favor of a spectrum of disease with an admixture of interdependent and dynamic pathobiological axes driving tissue injury and progression. Recent studies have shown the presence of acute and compartmentalized inflammation and mechanisms of neurodegeneration beginning early and evolving throughout the disease continuum. Still, the gap between the understanding of immunopathologic processes in MS and the tools used to measure relevant molecular, laboratory, radiologic, and clinical metrics needs attention to enable better prognostication of disease and monitoring for changes along specific pathologic axes and variable treatment outcomes.

SUMMARY

Aligning on a consistently-applied mechanistic framework at distinct levels of explanation will enable greater precision across bench and clinical research, and inform discourse on drivers of disability progression and delivery of care for individuals with MS.

Associations between Mediterranean Diet Adherence, Quality of Life, and Mental Health in Patients with Multiple Sclerosis: A Cross-Sectional Study

BACKGROUND

The Mediterranean diet (MD) is well-known as a diet which may exert a protective effect against neurodegenerative diseases, including multiple sclerosis (MS). To date, only a few clinical surveys have assessed the potential effects of the MD in patients with MS. The purpose of the present study is to evaluate the potential effects of MD compliance on disease disability, quality of life, physical activity, depressive symptomatology, and blood biochemical parameters related to nutritional status in MS patients, considering several socio-demographic, anthropometric, and lifestyle characteristics.

METHODS

This is a cross-sectional study conducted on 558 adults with MS aged 18-64 years. Relevant questionnaires were utilized to evaluate socio-demographic and anthropometric parameters, disease disability (Expanded Disability Status Scale, EDSS), multidimensional health-related quality (MS Quality of Life-54, MSQOL-54), physical activity levels (International Physical Activity Questionnaire, IPAQ), depression (Beck Depression Inventory II, BDI-II), and MD adherence (MedDietScore), while several blood biochemical parameters were retrieved from the patients' medical records.

RESULTS

Enhanced MD compliance was independently associated with a decreased frequency of overweight/obesity, as well as abdominal obesity, in patients suffering from MS. Elevated MD compliance was also independently associated with a decreased incidence of advanced disease disability, a higher prevalence of elevated physical activity, an improved quality of life, and lower depressive symptoms, as well as higher levels of certain blood biochemical parameters, which are effective indicators of iron deficiency and malnutrition.

CONCLUSIONS

The present study found that higher MD adherence may slow down disease disability, promoting a better quality of life and mental health in adults with MS. Future prospective surveys are required to obtain conclusive results.