International journal of MS care最新文献

Background: Upper extremity function (UEF) is often compromised in multiple sclerosis (MS), although its importance is regularly underrecognized relative to ambulation. We explored the concurrent presence of impairment in UEF and ambulation by examining various aspects of UEF across different levels of ambulation.

Methods: The cohort consisted of 247 patients with clinically definite MS or clinically isolated syndrome according to the revised 2010 McDonald criteria. The Nine-Hole Peg Test and the Expanded Disability Status Scale were used to stratify patients into clinically different subgroups. For UEF, cerebellar function (finger-to-nose test), pyramidal function (pronator drift test), and the ability to perform a task of activities of daily living (drinking-from-cup test) were examined. Patient-reported limitations of UEF in daily life were assessed using the Arm Function in Multiple Sclerosis Questionnaire.

Results: Patients in more severely impaired ambulation groups displayed poorer performance on all UEF measures. Although most patients had normal to mild (n = 147) or moderate (n = 46) ambulatory impairment, 87.7% exhibited some level of UEF impairment as defined using the Nine-Hole Peg Test. Most patients had mild UEF impairment (n = 174), accounting for the largest proportion in all ambulation groups (51.9%-77.8%).

Conclusions: A distinct pattern of impairment was found for ambulation and multiple aspects of UEF. Independent assessment of multiple aspects of disability may be helpful in treatment decision-making and could support the development of rehabilitation strategies that specifically target UEF impairment.

Background: Up to 50% of individuals with multiple sclerosis (MS) who are prescribed disease-modifying treatments (DMTs) do not take them as advised. Although many studies report on DMT adherence rate, few studies report on interventions involving individuals with MS. The current paper describes the development of an intervention aimed at improving adherence to DMTs among identified nonadherent individuals with MS.

Methods: An intervention was developed using an Intervention Mapping approach, recommendations from reviews on medication adherence, and input from individuals with MS. Its content was determined by theories of health behavior (specifically, a perceptions and practicalities approach), empirical evidence collected among the specific target population (an observational "needs assessment" stage [n = 186]), and other studies.

Results: A personalized intervention was tailored to the reasons for nonadherence, uncovered during the observational needs assessment stage, to be delivered sequentially by a neurologist and a psychologist. After the intervention objectives were identified, components of the intervention were set: psychoeducation and ways of coping with adverse effects; modification of unhelpful treatment beliefs (such modifications were found predictive of adherence in the observational phase of the study); improving confidence and self-efficacy; and developing strategies for remembering to take DMTs. These components were embedded within motivational interviewing.

Conclusions: Intervention Mapping was useful in developing an intervention grounded both in the theoretical approach of perceptions and practicalities and in empirical evidence from the literature and the target sample; concurrently, identifying determinants that the intervention did not address. The effectiveness of the intervention-which could potentially improve adherence among individuals with MS-needs to be examined.

Background: Patients with multiple sclerosis (MS) receiving disease-modifying therapies (DMT) show published adherence rates of 27.0% to 93.8% and published persistence rates of 49.7% to 96.5%. Improvements in DMT adherence and persistence are key to optimizing MS care, and enhanced understanding could improve MS disease management and identify research gaps. This scoping literature review aims to examine the nature and findings of the literature evaluating factors associated with DMT adherence and persistence in patients with MS.

Methods: Eligible articles included in the literature review were quantitative clinical studies written in English, included adherence or persistence as primary outcomes, and accounted for covariates/confounders. The articles were assessed to identify factors associated with adherence/persistence and analyzed according to DMT type (self-injectable, oral, infusion).

Results: Fifty-eight studies (103,450 patients) were included. Study distribution by DMT type was self-injectable only (n = 41), oral only (n = 2), infusion only (n = 1), and more than 1 type (n = 14). Older age and previous DMT use were associated with increased adherence and/or persistence. Increased alcohol consumption, DMT adverse events, higher education, and higher body mass index were negatively associated with adherence and/or persistence. Greater number and severity of relapses was associated with increased adherence but decreased persistence.

Conclusions: Most studies examined factors associated with adherence and persistence to self-injectable DMTs. These factors should be evaluated further for oral and infusion DMTs. Insights into the modifiable factors associated with adherence and persistence could guide treatment decisions and help improve adherence and clinical outcomes.

Serum sickness (SS) is a rare hypersensitivity reaction that can occur with monoclonal antibodies, and only 1 case of SS has been reported with ocrelizumab. We describe 2 patients with multiple sclerosis (MS) who developed SS/SS-like reactions (SSLRs) following ocrelizumab infusions. A man, aged 45 years, and a woman, aged 59 years, both with primary progressive MS, developed generalized weakness and arthralgias following their ocrelizumab infusions. Brain and spinal cord MRIs revealed no new or enhancing demyelinating lesions in both cases. They both had elevated inflammatory markers and negative infectious workups. They were subsequently treated for presumed SS with a steroid taper (and with potent anti-inflammatories in the second case), and symptoms improved dramatically after a few days. These cases suggest that SS/SSLRs should be suspected in a patient with new-onset arthralgia following ocrelizumab infusion who has an otherwise negative workup and rapid response to steroids.

Many medical organizations have begun to confront the longstanding problem of inequalities in health care delivery and the undeniable effect of disparities on health outcomes. The Consortium of Multiple Sclerosis Centers (CMSC) recognizes that disparities affect the lives of many people with multiple sclerosis (MS) and acknowledges the need to address this as an organization. The CMSC recently (1) appointed a task force, (2) conducted a survey of its membership, (3) commissioned this review article and call to action, and (4) formulated a mission statement on diversity, equity, and inclusion (DEI), which was adopted by the CMSC's Board of Governors in March 2023. This paper summarizes recent literature on health care disparities in MS, particularly those relating to race/ethnicity, sexual orientation, and gender identity. It presents findings from CMSC's survey of members' awareness of DEI issues, the need for education and resources for MS care providers, and existing institutional policies on DEI in the members' practice settings. It also presents the task force's recommendations for next steps, which includes the goal of greater diversity in the MS workforce of the future. The CMSC will continue to revisit DEI policies and practices over time with the goal of motivating greater awareness, momentum, and positive changes within the MS community.

Background: Neuromyelitis optica spectrum disorder (NMOSD) is an aggressive central nervous system astrocytopathy often resulting in rapid neurologic decline. Patients have recurrent flares that require immunomodulatory therapy for relapse prevention. These patients are usually hospitalized and may need rehospitalization after decline. Hospital readmission rates are important indicators that can be used to gauge health care quality and have direct implications on hospital compensation. This study aims to identify high-risk characteristics of patients with NMOSD that can be used to predict hospital readmissions.

Methods: The 2017 Nationwide Readmissions Database was searched for hospital admissions for NMOSD in the United States. All patients with hospital readmission within 30 days of discharge from the index hospitalization were included.

Results: The 30-day all-cause readmission rate for NMOSD was 11.9% (95% CI, 10.6%-13.3%). Patients aged 65 to 74 years had higher odds of readmission; those with private insurance had decreased odds. Sex did not affect readmission. Several comorbidities, such as respiratory failure, peripheral vascular disease, neurocognitive disorders, and neurologic blindness, were predictive of readmissions. Plasma exchange increased the odds of readmission, whereas intravenous immunoglobulin and immunomodulatory infusions, such as chemotherapies and monoclonal antibodies, did not affect readmission.

Conclusions: The most common etiologies for 30-day read-mission were neurologic, infectious, and respiratory. Treatment targeted toward these etiologies may result in reduced overall readmission, thereby decreasing overall disease burden.

Artificial intelligence (AI) and its specialized subcomponent machine learning are becoming increasingly popular analytic techniques. With this growth, clinicians and health care professionals should soon expect to see an increase in diagnostic, therapeutic, and rehabilitative technologies and processes that use elements of AI. The purpose of this review is twofold. First, we provide foundational knowledge that will help health care professionals understand these modern algorithmic techniques and their implementation for classification and clustering tasks. The phrases artificial intelligence and machine learning are defined and distinguished, as are the metrics by which they are assessed and delineated. Subsequently, 7 broad categories of algorithms are discussed, and their uses explained. Second, this review highlights several key studies that exemplify advances in diagnosis, treatment, and rehabilitation for individuals with multiple sclerosis using a variety of data sources-from wearable sensors to questionnaires and serology-and elements of AI. This review will help health care professionals and clinicians better understand AI-dependent diagnostic, therapeutic, and rehabilitative techniques, thereby facilitating a greater quality of care.

Climate change is contributing to increasingly hazardous tropical cyclones that endanger persons living in susceptible coastal and island communities. People living with chronic illness, including multiple sclerosis (MS), face unique challenges and vulnerabilities when exposed to hurricane hazards. Disaster and emergency preparedness requires a customized approach that considers the necessary adaptations to accommodate the mobility, self-care, sensory, cognitive, and communication impairments of persons living with MS. Related considerations include the potential for worsening neurologic signs and symptoms during and after a catastrophic storm. The impact of emotional and financial stresses, as well as disruptions in health care delivery, on this population are also key concerns. This paper addresses the challenges faced by individuals with MS in advance of, during, and in the aftermath of extreme storms. We propose new guidelines on how health care professionals can assist persons with MS when creating tailored disaster readiness and response plans.