Background: Comorbidities negatively impact the course of multiple sclerosis (MS). Identifying them is essential, as they represent potentially modifiable prognostic factors that can adversely influence the disease course. However, comorbidity prevalence remains underexplored in certain populations, including in individuals in Brazil.
Methods: In this cross-sectional study, we describe the frequency of comorbidities and their correlation with MS disability progression in a Brazilian population by reviewing the medical records of patients from a single MS center in Brazil. Preexisting comorbidities and those present at the time of MS diagnosis were screened. We assessed the prevalence of comorbidities, their prevalence ratios (PR) and the association between them, their number, and the confirmed disability worsening (CDW) that emerged during the follow-up visits.
Results: Comorbidities were present in 68.9% of individuals. The most prevalent comorbidities included cardiovascular diseases (19.3%), migraine (13.3%), psychiatric disorders (12.4%), smoking (12.4%), autoimmune diseases (12.0%), respiratory diseases (10.3%), and neoplasms (5.6%). Patients with 1 comorbidity and those with multiple comorbidities (≥ 3) had a significant PR for CDW (2.67, P = .01; 1.25, P = .03, respectively). Cardiovascular and autoimmune diseases presented significant PR for CDW (2.28, P = .03; 4.2, P = .004, respectively).
Conclusions: Comorbidities are more prevalent among Brazilian individuals with MS than in the general population and are associated with disease progression. Identifying and managing them may mitigate their adverse effects on disease course.
Background: The experience with spasticity varies among individuals with multiple sclerosis and spasticity (MSS), as they may not recognize it as spasticity or have the language to describe their symptoms. This can lead to potential delays in diagnosis and treatment.
Methods: Symptoms and Emotions Exploration Needed in Multiple Sclerosis Spasticity was an online survey completed by 1177 individuals with MSS in 2021. It sought to capture symptoms of spasticity, variability of symptoms, specific spasticity triggers, and how conversations with physicians were initiated.
Results: The mean age of the cohort was 56.8 years and it was 78% women. Prior to spasticity onset, 65% of respondents felt minimally prepared or unprepared for possibly developing spasticity and were unaware that spasticity manifests as part of MS. Eighty percent experienced spasticity daily, which was variable in severity and duration. Spasticity was triggered by a range of factors and 90% of those surveyed were unable to predict when it would occur or its severity. Day-to-day variability of spasticity prevented 65% of respondents from doing things they wished to do. Sixty percent were confused by their symptoms, not recognizing them as spasticity. Although 91% reported experiencing muscle spasms, only 69% used "muscle spasms" to describe their symptoms. Other descriptors included "muscle tightness," "stiffness," "cramping," and "pain." After recognizing spasticity, 78% proactively initiated discussions with their physicians, 52% wished they had done so sooner, and 42% delayed the conversation by up to or more than a year.
Conclusions: Results emphasize the variable nature of spasticity and the lack of a common language to describe symptoms, underscoring the importance of education, earlier recognition, and customized treatments tailored to the severity and duration of spasticity symptoms.
Background: Physical activity (PA) is a promising intervention for disease modification and symptom management in multiple sclerosis (MS); however, there is a lack of research focusing on PA behavior change interventions for persons newly diagnosed with MS. Such PA behavior change interventions should be developed based on a strong empirical foundation of understanding the behavior and its determinants (ie, what to target for changes to occur). To that end, this qualitative study examined factors explaining PA in persons newly diagnosed with MS and identified potential targets for future behavior change intervention development based on the Capability-Opportunity-Motivation-Behavior (COM-B) model.
Methods: Twenty individuals diagnosed with MS within the past 2 years underwent one-on-one semistructured interviews using questions developed based on the COM-B model. Data were analyzed using reflective thematic analysis, and the identified themes were then mapped with the COM-B model.
Results: Factors explaining PA in the study sample were identified across the COM-B components. The typical factors include knowledge and skills to sufficiently engage in PA with appropriate approaches, ability to adapt and navigate through new environmental and social difficulties after diagnosis, and motivation resulting from a combination of factors, such as outcome expectation, belief of capabilities, role/identity, reinforcement, and emotions.
Conclusions: The COM-B model was applied successfully in this study to understand PA behavior and identify potential targets for behavior change in individuals newly diagnosed with MS. Future behavior change interventions should consider addressing these factors to generate effective PA behavior change in this population.