Multiple Sclerosis and the Risk of Infection: A Consensus Guideline

Multiple sclerosis (MS) is an inflammatory condition affecting the central nervous system. Infection is a major consideration in the MS population due to its relevance to several stages of the disease process: (i) it has been suggested that infective processes may be 'triggering' or aetiological factors for MS, (ii) concurrent infection is known to exacerbate symptoms in MS, (iii) people with MS are at higher risk of infection when compared to the general population, and this risk is exaggerated in those receiving disease modifying therapies (DMTs). This guidance document was developed by specialists in the field of MS, Immunology, Infectious Disease and Pharmacy. A modified Delphi approach was used to develop clinically relevant, evidence-based consensus guidelines to help physicians navigate the complex interaction between DMTs and infectious diseases. We focus on specific risks predisposing people with MS to infection and how to manage these risks. We also provide recommendations on how to screen for, prevent, and manage infection in this population, in particular tuberculosis, progressive multifocal leukoencephalopathy, hepatitis B, human papillomavirus, herpetic and other opportunistic infections. We also discuss vaccination and the COVID-19 pandemic in people on DMTs.

Multiple sclerosis and COVID-19: Assessing risk perception, patient behaviors and access to disease-modifying therapies.

BACKGROUND: Following the outbreak of COVID-19, global healthcare systems have had to rapidly adapt. People with multiple sclerosis (pwMS) were required to make decisions about their individual risk and consequent work and social behaviors. This study aimed to evaluate risk perception and patterns of shielding behavior amongst pwMS at the onset of the COVID-19 pandemic and the subsequent impact on patients' employment and access to disease modifying therapies (DMTs). METHODS: Postal surveys were sent to 1690 people within a UK population-based MS cohort during the first wave of the COVID-19 pandemic. Patients were surveyed on: (i) perceived vulnerability to COVID-19; (ii) isolation behavior; (iii) interruption to DMT; (iv) employment status; (v) level of satisfaction with their current working arrangement. RESULTS: Responses were received from 1000 pwMS. Two thirds of patients reported isolating at home during the first wave of the pandemic. This behavior was associated with increased age (p<0.0001), higher disability (p<0.0001) and use of high-efficacy DMTs (p = 0.02). The majority of patients reported feeling vulnerable (82%) with perceived vulnerability associated with higher EDSS (p<0.0001) and receiving a high-efficacy DMT (p = 0.04). Clinician-defined risk was associated with shielding behavior, with those at high-risk more likely to self-isolate/shield (p<0.0001). Patients on high-efficacy DMTs were more likely to have an interruption to their treatment (50%) during the first wave of the pandemic. Most pwMS experienced a change to their working environment, and most were satisfied with the adjustments. CONCLUSION: This study highlights the risk perception, social behavioral practices and changes to treatment experienced by pwMS during the first wave of the COVID-19 pandemic in a large, well-described UK cohort. The results may help inform management of pwMS during future pandemic waves.

COVID-19 in Multiple Sclerosis: Clinically reported outcomes from the UK Multiple Sclerosis Register.

BACKGROUND: In March 2020, the United Kingdom Multiple Sclerosis Register (UKMSR) established an electronic case return form, designed collaboratively by MS neurologists, to record data about COVID-19 infections in people with MS (pwMS). OBJECTIVES: Examine how hospital admission and mortality are affected by disability, age and disease modifying treatments (DMTs) in people with Multiple Sclerosis with COVID-19. METHODS: Anonymised data were submitted by clinical teams. Regression models were tested for predictors of hospitalisation and mortality outcomes. Separate analyzes compared the first and second 'waves' of the pandemic. RESULTS: Univariable analysis found hospitalisation and mortality were associated with increasing age, male gender, comorbidities, severe disability, and progressive MS; severe disability showed the highest magnitude of association. Being on a DMT was associated with a small, lower risk. Multivariable analysis found only age and male gender were significant. Post hoc analysis demonstrated that factors were significant for hospitalisation but not mortality. In the second wave, hospitalisation and mortality were lower. Separate models of the first and second wave using age and gender found they had a more important role in the second wave. CONCLUSIONS: Features associated with poor outcome in COVID-19 are similar to other populations and being on a DMT was not found to be associated with adverse outcomes, consistent with smaller studies. Once in hospital, no factors were predictive of mortality. Reassuringly, mortality appears lower in the second wave.