Assessing fatigue in multiple sclerosis: Psychometric properties of the five-item Modified Fatigue Impact Scale (MFIS-5) [0.03%]
多发性硬化症疲劳的评估：五项修改版疲劳影像量表（MFIS-5）的心理测量属性
Virginia Meca-Lallana,María Brañas-Pampillón,Yolanda Higueras et al.
Virginia Meca-Lallana et al.
Fatigue in multiple sclerosis is a key symptom associated with work-related problems and poor quality of life outcomes. The five-item Modified Fatigue Impact Scale is a brief self-assessment tool for measuring the impact of fatigue on cogni...
Activity monitor use among persons with multiple sclerosis: Report on rate, pattern, and association with physical activity levels [0.03%]
多发性硬化患者使用活动监视器的情况：发生率、规律及其与运动强度之间的关系研究报告
Stephanie L Silveira,Robert W Motl
Stephanie L Silveira
Background: Commercially available activity monitors are a promising approach for tracking and changing physical activity in multiple sclerosis. Objective...
Serum neurofilament light chain concentration in a phase 1/2 trial of autologous mesenchymal stem cell transplantation [0.03%]
间充质干细胞移植一期/二期临床试验中神经丝轻链浓度的变化
Laura E Baldassari,Sarah M Planchon,Robert A Bermel et al.
Laura E Baldassari et al.
Background: Serum neurofilament light chain concentration is a proposed biomarker of axonal injury in multiple sclerosis. Mesenchymal stem cells have anti-inflammatory and repair-promoting activities, making them of inter...
Serum neurofilament light levels correlate with change of olfactory function in multiple sclerosis [0.03%]
血清神经丝轻链水平与多发性硬化嗅觉功能改变相关
Gabriel Bsteh,Klaus Berek,Harald Hegen et al.
Gabriel Bsteh et al.
Background: Serum neurofilament light chain levels (sNfL) and impairment of olfactory function emerge as biomarkers in multiple sclerosis (MS). However, the relation between sNfL and olfactory function in MS has not been ...
Gabriel Bsteh,David Haschka,Piotr Tymoszuk et al.
Gabriel Bsteh et al.
Background: Brain iron accumulation is associated with multiple sclerosis (MS). Hepcidin is the master regulator of iron homeostasis and distribution. Dysregulation of hepcidin is a feature of different chronic inflammato...
Machine learning in secondary progressive multiple sclerosis: an improved predictive model for short-term disability progression [0.03%]
机器学习在 Secondary Progressive 多发性硬化症中的应用：短期残疾进展的预测模型改进
Marco Tk Law,Anthony L Traboulsee,David Kb Li et al.
Marco Tk Law et al.
Background: Enhanced prediction of progression in secondary progressive multiple sclerosis (SPMS) could improve clinical trial design. Machine learning (ML) algorithms are methods for training predictive models with minim...
Edgar Patricio Correa-Díaz,María Angélica Ortiz,Ana María Toral et al.
Edgar Patricio Correa-Díaz et al.
Background: Cuenca, a city in the Andean Region of southern Ecuador, has 591,996 inhabitants. A decade-old study showed the prevalence of multiple sclerosis in Cuenca was 0.75 cases per 100,000 inhabitants but no new epid...
HDL-cholesterol elevation associated with fingolimod and dimethyl fumarate therapies in multiple sclerosis [0.03%]
芬戈莫德和富马酸二甲酯治疗与多发性硬化患者胆固醇水平升高有关联
S Blumenfeld Kan,E Staun-Ram,D Golan et al.
S Blumenfeld Kan et al.
Background: Patients with Multiple Sclerosis (PwMS) display altered lipoproteins levels and function, which seem to affect disease risk and progress. Whether disease-modifying therapies affect the lipoprotein profile in P...
Magnetic resonance spectroscopy evidence for declining gliosis in MS patients treated with ocrelizumab versus interferon beta-1a [0.03%]
奥法木单抗治疗多发性硬化症患者较干扰素β-1a治疗组胶质细胞增生减少的磁共振波谱证据显示下降趋势
Erin L MacMillan,Julia J Schubert,Irene M Vavasour et al.
Erin L MacMillan et al.
Background: Magnetic resonance spectroscopy quantitatively monitors biomarkers of neuron-myelin coupling (N-acetylaspartate (NAA)), and inflammation (total creatine (tCr), total choline (tCho), myo-inositol (mI)) in the b...
Does a modifiable risk factor score predict disability worsening in people with multiple sclerosis? [0.03%]
一个可改变的危险因素评分能否预测多发性硬化患者的残疾恶化？
Claudia H Marck,Zoe Aitken,Steve Simpson et al.
Claudia H Marck et al.
Background: Risk factors for chronic disease include smoking, hazardous alcohol consumption, physical inactivity, unhealthy body mass index and poor diet (SNAP factors). In multiple sclerosis (MS) SNAP factors are associa...