Associations between Lifestyle Behaviors and Quality of Life Differ Based on Multiple Sclerosis Phenotype.

Multiple sclerosis (MS), a neuroinflammatory disorder, occurs as non-progressive or progressive phenotypes; both forms present with diverse symptoms that may reduce quality of life (QoL). Adherence to healthy lifestyle behaviors has been associated with higher QoL in people with MS; whether these associations differ based on MS phenotype is unknown. Cross-sectional self-reported observational data from 1108 iConquerMS participants were analysed. Associations between lifestyle behaviors and QoL were assessed by linear regression, and phenotype differences via moderation analyses. Diet, wellness, and physical activity, but not vitamin D or omega-3 supplement use, were associated with QoL. Specifically, certain diet types were negatively associated with QoL in relapsing-remitting MS (RRMS), and positively associated in progressive MS (ProgMS). Participation in wellness activities had mixed associations with QoL in RRMS but was not associated in ProgMS. Physical activity was positively associated with QoL in RRMS and ProgMS. Phenotype differences were observed in diet and wellness with physical QoL, and physical activity with most QoL subdomains. Our findings show lifestyle behaviors are associated with QoL and appear to differ based on MS phenotype. Future studies assessing timing, duration, and adherence of adopting lifestyle behaviors may better inform their role in MS management.

Assessing Access to Five Types of Insurance by People with Multiple Sclerosis Using a Cross-sectional Online Survey.

BACKGROUND: Many individuals with multiple sclerosis (MS) depart the workforce prematurely. In the United States, access to insurance, including health, disability income, long-term care, and life insurance, is largely employment-based or purchased from earnings. Many individuals we see in the clinic experience financial hardship because of a lack of insurance, even if working. We sought to determine the proportion of workers who are financially protected through insurance coverage and the sources of this coverage in a large sample. METHODS: We developed an online survey and opened it to individuals aged 18 to 65 years registered with the North American Research Committee on Multiple Sclerosis, iConquerMS, or the National Multiple Sclerosis Society Minority Advisory Council. Data collected included demographic and disease characteristics, current information about each insurance type (coverage vs no coverage), and when the current insurance policies were obtained relative to MS diagnosis. RESULTS: Of 2507 survey respondents, 82.9% were female, 3.8% Hispanic/Latino, and 91.2% White. The mean ± SD age was 53.5 ± 8.5 years and disease duration was 16.4 ± 8.5 years after diagnosis. The most frequently held insurance types were health (96.3%) and life (58.8%). Only 9.7% of respondents had long-term care insurance. Except for life insurance, most current policies were obtained after MS diagnosis. CONCLUSIONS: Individuals with MS might not prioritize the possible short- and long-term benefits of these types of insurance. Health care providers can direct patients to nonprofit agencies that educate about of these insurance types and emphasize that others with MS have obtained these insurance types after their diagnosis.

Consensus Guidelines for CSF and Blood Biobanking for CNS Biomarker Studies.

There is a long history of research into body fluid biomarkers in neurodegenerative and neuroinflammatory diseases. However, only a few biomarkers in cerebrospinal fluid (CSF) are being used in clinical practice. Anti-aquaporin-4 antibodies in serum are currently useful for the diagnosis of neuromyelitis optica (NMO), but we could expect novel CSF biomarkers that help define prognosis and response to treatment for this disease. One of the most critical factors in biomarker research is the inadequate powering of studies performed by single centers. Collaboration between investigators is needed to establish large biobanks of well-defined samples. A key issue in collaboration is to establish standardized protocols for biobanking to ensure that the statistical power gained by increasing the numbers of CSF samples is not compromised by pre-analytical factors. Here, consensus guidelines for CSF collection and biobanking are presented, based on the guidelines that have been published by the BioMS-eu network for CSF biomarker research. We focussed on CSF collection procedures, pre-analytical factors and high quality clinical and paraclinical information. Importantly, the biobanking protocols are applicable for CSF biobanks for research targeting any neurological disease.