Neurology最新文献

Background and objectives: All 4 previous nationwide surveys of multiple sclerosis (MS) in Japan were conducted before the discovery of anti-aquaporin-4 (AQP4) antibodies; thus, neuromyelitis optica spectrum disorder (NMOSD) was included in MS, as optic-spinal MS. We aimed to clarify the epidemiologic features and trends of MS and NMOSD in Japan separately using a fifth nationwide survey.

Methods: The primary survey, in which a questionnaire was sent to 3,799 selected departments (including neurology/internal medicine, pediatrics, and ophthalmology), explored the estimated number and prevalence of patients with MS or NMOSD in 2017, and the secondary survey collected detailed characteristics of the patients using a second questionnaire.

Results: The response rates for the primary and secondary surveys were 60.1% and 53.9%, respectively. The estimated total number of patients with MS or NMOSD was 24,800, 2.5-fold higher than that in the fourth survey in 2003. The crude prevalence was 19.6 per 100,000 patients (14.2 for MS and 5.4 for NMOSD), compared with 7.7 per 100,000 patients in the fourth survey. Patients with MS showed milder disability (median Expanded Disability Status Scale [EDSS] score: 2.0 [interquartile range 1.0-4.5] vs 2.5 [1.0-6.0]), decreased secondary progression (8.5% vs 15.2%), and increased usage of disease-modifying drugs (63.7% vs 37.2%) compared with those with conventional MS in the fourth survey. The proportions of oligoclonal bands and Barkhof criteria fulfillment on MRI, which are features of classical MS, increased with advancing year of birth. Patients with NMOSD also showed less disability and shorter disease duration than patients with optic-spinal MS in the fourth survey (EDSS score: 3.5 [2.0-5.5] vs 3.8 [2.0-6.0]; disease duration: 8.0 [3.9-14.8] vs 10.0 [5.0-16.0]). Among patients with NMOSD, disability was exacerbated by a history of longitudinally extensive spinal cord lesions and anti-AQP4 antibody positivity, which both decreased with advancing year of birth.

Discussion: The prevalences of MS (particularly with classical features) and NMOSD have been increasing in Japan, suggesting the contribution of environmental factors. However, disabilities in patients with MS and NMOSD have been mitigated. Extensive usage of various disease-modifying drugs could be a factor contributing to this disability mitigation in MS.

Objectives: The objective of this study was to estimate the incidence, timing, and type of new cancer diagnosis among patients with cryptogenic stroke.

Methods: We used data from the ARCADIA trial, which enrolled patients with cryptogenic stroke and atrial cardiopathy. Participants were prospectively followed, and serious adverse events were assessed every 3 months or sooner if investigators were alerted between visits to an event. Kaplan-Meier statistics were used to estimate the cumulative incidence of a cancer diagnosis within the first year after randomization.

Results: Among 878 participants without baseline history of cancer, 13 (1.5%) were diagnosed with incident cancer in the year after randomization, comprising 12 solid cancers (3 prostate, 2 breast, 2 gastrointestinal, and 5 other primary sites) and 1 hematologic cancer (non-Hodgkin lymphoma). The cumulative incidences of a cancer diagnosis were 0% at 3 months, 0.6% (95% CI 0.2%-1.5%) at 6 months, and 2.0% (95 CI 1.1%-3.4%) at 1 year. The median time from index stroke to cancer diagnosis was 261 days (interquartile range 183-358).

Discussion: In a multicenter cryptogenic stroke cohort with prospective follow-up, the 1-year cumulative incidence of a cancer diagnosis was 2%. This rate may be an underestimation because of the clinical trial population and exclusion of cancers diagnosed immediately after stroke.

Trial registration information: ClinicalTrials.gov Identifier: NCT03192215. Registered June 20, 2017. First patient enrolled February 1, 2018.

Background and objectives: Patients with multiple sclerosis (MS) often experience cognitive impairment, and this is related to structural disconnection and subsequent functional reorganization. It is unclear how specific patterns of functional reorganization might make it harder for cognitively impaired (CI) patients with MS to dynamically adapt how brain regions communicate, which is crucial for normal cognition. We aimed to identify dynamic functional network patterns that are relevant to cognitive impairment in MS and investigate whether these patterns can be explained by altered energy costs.

Methods: Resting-state functional and diffusion MRI was acquired in a cross-sectional design, as part of the Amsterdam MS cohort. Patients with clinically definitive MS (relapse-free) were classified as CI (≥2/7 domains Z < -2), mildly CI (MCI) (≥2/7 domains Z < -1.5), or cognitively preserved (CP) based on an expanded Brief Repeatable Battery of Neuropsychological Tests. Functional connectivity states were determined using k-means clustering of moment-to-moment cofluctuations (i.e., edge time series), and the resulting state sequence was used to characterize the frequency of transitions. Control energy of the state transitions was calculated using the structural network with network control theory.

Results: Imaging and cognitive data were available for 95 controls and 330 patients (disease duration: 15 years; 179 CP, 65 MCI, and 86 CI). We identified a "visual network state," "sensorimotor network state," "ventral attention network state," and "default mode network state." CI patients transitioned less frequently between connectivity states compared with CP (β = -5.78; p = 0.038). Relative to the time spent in a state, CI patients transitioned less from a "default mode network state" to a "visual network state" (β = -0.02; p = 0.004). The CI patients required more control energy to transition between states (β = 0.32; p = 0.007), particularly for the same transition (β = 0.34; p = 0.049).

Discussion: This study showed that it costs more energy for MS patients with cognitive impairment to dynamically change the functional network, possibly explaining why these transitions occur less frequently. In particular, transitions from a default mode network state to a visual network state were relevant for cognition in these patients. To further study the order of events leading to these network disturbances, future work should include longitudinal data across different disease stages.