Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Factors Affecting Illness01:18

Factors Affecting Illness

When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness, disability,...
Psychological and Sociocultural Causes of Schizophrenia01:29

Psychological and Sociocultural Causes of Schizophrenia

Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...
Classification of Illness01:17

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
Multiple Sclerosis l: Introduction01:19

Multiple Sclerosis l: Introduction

Multiple sclerosis is a chronic autoimmune disease of the central nervous system (CNS) that affects the brain, spinal cord, and optic nerves. It is an inflammatory demyelinating disorder and a leading cause of neurological disability in young adults.EpidemiologyMS commonly begins between 20 and 40 years of age and is twice as common in women. Its exact cause remains unclear, but genetic susceptibility contributes, with higher risk in first-degree relatives and identical twins. A greater...
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin create...
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Clinical, imaging, and immunotherapeutic features in MOGAD: a retrospective real-world cohort in Northern China.

Therapeutic advances in neurological disorders·2026
Same author

Spatio-dipolar synergy modulated interfacial molecular bridge for calendar-aging-resistant aqueous zinc-ion batteries.

National science review·2026
Same author

Study on the Reaction Mechanism of RuO<sub>x</sub> and Its Enhanced Hydrogen Evolution Reaction Activity.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Establishment and validation of the NEX-RiboTag system for profiling the excitatory neuronal translatome in the postnatal mouse forebrain.

Neuroscience·2026
Same author

Molecular-Fence Confinement Enabling Efficient Acidic CO<sub>2</sub> Electroreduction to Multi-carbon Products.

Journal of the American Chemical Society·2026
Same author

Biallelic variants in CELSR1 cause brain malformations, neurodevelopmental disorders and epilepsy in humans.

Nature communications·2026
Same journal

Factors Associated With the Rising Trend in Self-Reported Cognitive Disability Among U.S. Adults Aged 18-39 From 2013-2024.

Annals of clinical and translational neurology·2026
Same journal

Bi- and Mono-Allelic RFC1 Expansion in a North American Cohort With Idiopathic Axonal Neuropathy.

Annals of clinical and translational neurology·2026
Same journal

Characterizing Cutaneous α-Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes.

Annals of clinical and translational neurology·2026
Same journal

Effects of Add-On Icosapent Ethyl With Standard Treatment on Functional Outcomes and Inflammatory Biomarkers in Acute Ischemic Stroke: A Blinded Randomized Controlled Trial.

Annals of clinical and translational neurology·2026
Same journal

Baseline Neuroinflammation Stratifies TSPO-PET Response to Disease-Modifying Therapy in Multiple Sclerosis.

Annals of clinical and translational neurology·2026
Same journal

A 57-Year-Old Male With Behavioral Variant Frontotemporal Dementia and MATR3 and NOS3 Mutations.

Annals of clinical and translational neurology·2026
See all related articles

Related Experiment Video

Updated: Jun 25, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

Clinical and Modifiable Factors Associated With Disability and Relapse in MOGAD: A Multicentre Cohort Study.

Yingtao Wang1,2,3, Shaoxin Tao1,2,3, Qiujia Wang1,2,3

  • 1Department of Neurology, Xuanwu Hospital Capital Medical University, National Center for Neurological Disorders, Beijing, China.

Annals of Clinical and Translational Neurology
|June 24, 2026
PubMed
Summary
This summary is machine-generated.

Older age, smoking, and BMI influence prognosis in myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). These factors may help predict relapse and disability, guiding future treatment strategies.

Keywords:
MOGADcohort studymodifiable risk factorsprognosis

More Related Videos

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
06:52

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit

Published on: September 30, 2020

Related Experiment Videos

Last Updated: Jun 25, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
06:52

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit

Published on: September 30, 2020

Area of Science:

  • Neuroimmunology
  • Neurology
  • Clinical Research

Background:

  • Myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) prognosis factors are not fully understood.
  • Identifying predictors for relapse and disability is crucial for patient management.

Purpose of the Study:

  • To identify clinical and modifiable factors linked to relapse and disability in MOGAD patients.
  • To explore the impact of age, smoking, and Body Mass Index (BMI) on MOGAD outcomes.

Main Methods:

  • An ambispective multicentre cohort study of 173 MOGAD patients with over 12-month follow-up.
  • Cox regression analysis was used to assess time to relapse and disability (EDSS score ≥2).
  • Restricted cubic splines were employed to evaluate nonlinear associations.

Main Results:

  • Older age at onset and smoking history correlated with higher disability risk.
  • Smoking showed an association with relapse risk, though not statistically significant after adjustments.
  • Body Mass Index (BMI) demonstrated nonlinear associations with both relapse and disability.

Conclusions:

  • Older age, smoking, and BMI are potential prognostic factors in MOGAD.
  • Findings suggest investigating modifiable lifestyle and metabolic factors for better prognostic stratification.
  • Further research is warranted to confirm these associations and their clinical implications.