Background: Current clinical assessments of people with multiple sclerosis are episodic and may miss critical features of functional fluctuations between visits. Objective: The goal of the research was to assess the feasibility of remote active testing and passive monitoring using smartphones and smartwatch technology in people with multiple sclerosis with respect to adherence and satisfaction with the FLOODLIGHT test battery. Methods: People with multiple sclerosis (aged 20 to 57 years; Expanded Disability Status Scale 0-5.5; n=76) and healthy controls (n=25) performed the FLOODLIGHT test battery, comprising active tests (daily, weekly, every two weeks, or on demand) and passive monitoring (sensor-based gait and mobility) for 24 weeks using a smartphone and smartwatch. The primary analysis assessed adherence (proportion of weeks with at least 3 days of completed testing and 4 hours per day passive monitoring) and questionnaire-based satisfaction. In-clinic assessments (clinical and magnetic resonance imaging) were performed. Results: People with multiple sclerosis showed 70% (16.68/24 weeks) adherence to active tests and 79% (18.89/24 weeks) to passive monitoring; satisfaction score was on average 73.7 out of 100. Neither adherence nor satisfaction was associated with specific population characteristics. Test-battery assessments had an at least acceptable impact on daily activities in over 80% (61/72) of people with multiple sclerosis. Conclusions: People with multiple sclerosis were engaged and satisfied with the FLOODLIGHT test battery. FLOODLIGHT sensor-based measures may enable continuous assessment of multiple sclerosis disease in clinical trials and real-world settings. Trial Registration: ClinicalTrials.gov: NCT02952911; https://clinicaltrials.gov/ct2/show/NCT02952911

The usefulness of performing a spinal cord (SC) magnetic resonance imaging (MRI) in all clinically isolated syndromes (CIS) is controversial. To assess the value of SC lesions for predicting multiple sclerosis (MS) diagnosis and disability accrual in CIS. Concerning SC lesions and MS diagnosis (2010 McDonald), adjusted Cox regression analyses were performed in increasingly specific CIS groups: all cases (n = 207), non-SC CIS (n = 143), non-SC CIS with abnormal brain MRI (n = 90) and non-SC CIS with abnormal brain MRI not fulfilling 2010 MS (n = 67). For the outcome Expanded Disability Status Scale (EDSS) ≥3.0, similar analyses were performed in all cases (n = 207), non-SC CIS (n = 143) and SC CIS (n = 64). Performance at 2 years was assessed for all outcomes. The presence of SC lesions increased MS risk 2.0–2.6 times independently of factors like brain lesions. If considering lesion number, the risk ranged from 1.6 to 2.1 for one lesion to 2.4–3.3 for ≥2. SC lesions increased the short-term disability risk around fivefold, better demonstrated in non-SC CIS. SC lesions were very specific for evolution to MS and showed very high sensitivity for EDSS ≥3.0. SC lesions are independent predictors of MS in all CIS and contribute to short-term disability accrual. SC MRIs in CIS could be useful to estimate their prognosis.

Objective: To study the contribution of the symptomatic lesion in establishing multiple sclerosis (MS) diagnosis and prognosis. Methods: We performed an observational study based on a prospective clinically isolated syndrome (CIS) cohort of 1,107 patients recruited for clinical and brain MRI follow-up from 1995 to 2014. Eligible patients (n = 954) were divided into 4 groups according to baseline MRI: patients with a normal MRI (n = 290); patients with a single asymptomatic lesion (n = 18); patients with a single cord/brainstem symptomatic lesion (n = 35); and patients with more than 1 lesion (n = 611). For each group, we studied the risk of second attack, with 2005 McDonald MS and Expanded Disability Status Scale 3.0, using univariable and multivariable regression models adjusted by age, sex, oligoclonal bands, and disease-modifying treatments. We tested the diagnostic performance of a modified dissemination in space (DIS) criterion that includes symptomatic lesions in the total count and compared it to the DIS criteria (at least 1 asymptomatic lesion in at least 2 of the 4 MS characteristic MS locations) for all patients and for the subgroup of patients with brainstem or spinal cord topography. Results: Patients with a cord/brainstem single symptomatic lesion have a higher risk of second attack and disability accumulation than patients with 0 lesions but have a similar risk compared to patients with 1 asymptomatic lesion. Diagnostic properties are reasonably maintained when the symptomatic lesion qualifies for DIS. Conclusions: Despite the recommendations of the 2010 McDonald criteria, symptomatic lesions should be taken into account when considering the diagnosis and prognosis of patients with CIS.

There is increasing interest in the development and deployment of digital solutions to improve patient care and facilitate monitoring in medical practice, e.g., by remote observation of disease symptoms in the patients’ home environment. Digital health solutions today range from non-regulated wellness applications and research-grade exploratory instruments to regulated software as a medical device (SaMD). This paper discusses the considerations and complexities in developing innovative, effective, and validated SaMD for multiple sclerosis (MS). The development of SaMD requires a formalised approach (design control), inclusive of technical verification and analytical validation to ensure reliability. SaMD must be clinically evaluated, characterised for benefit and risk, and must conform to regulatory requirements associated with device classification. Cybersecurity and data privacy are also critical. Careful consideration of patient and provider needs throughout the design and testing process help developers overcome challenges of adoption in medical practice. Here, we explore the development pathway for SaMD in MS, leveraging experiences from the development of Floodlight™ MS, a continually evolving bundled solution of SaMD for remote functional assessment of MS. The development process will be charted while reflecting on common challenges in the digital space, with a view to providing insights for future developers.

The safety profile of natalizumab has been widely discussed due to several cases of progressive multifocal leukoencephalopathy, reported worldwide. Since the launch of natalizumab, 32 patients have been treated at our centre. In this context, we describe two cases (6.25%), one of immune-mediated acute haemolytic anaemia (IAHA) and another of immune thrombocytopenic purpura during treatment with natalizumab. The temporal relationship between drug administration and the nature of the haematological complications, confirmed with the serological findings in the case of the IAHA, suggests that natalizumab is the most probable cause for these adverse events. Although very uncommon, the haematological complications are severe enough to justify a close and careful monitoring for all patients with multiple sclerosis treated with an immunosuppressant treatment.