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

Nursing Diagnosis01:22

Nursing Diagnosis

4.2K
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
4.2K
Multiple Allele Traits01:49

Multiple Allele Traits

38.2K
The Concept of Multiple Allelism
38.2K
Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

4.0K
A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
4.0K
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.8K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
1.8K
Multiple Regression01:25

Multiple Regression

4.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
4.0K
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

4.0K
Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
4.0K

You might also read

Related Articles

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

Sort by
Same author

Non-infectious environmental risk factors of multiple sclerosis: Mechanisms and intervention windows for prevention.

Revue neurologique·2026
Same author

Tracing Neurological Diseases in the presymptomatic phase: moving forward a detection panel.

Revue neurologique·2025
Same author

Protocol of comparison of the effects of single plasma exchange and double filtration plasmapheresis on peripheral lymphocyte phenotypes in patients with Chronic Inflammatory Demyelinating Polyradiculoneuropathy: a monocentric prospective study with single-case experimental design.

BMC neurology·2022
Same author

Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis.

BMC medical research methodology·2022
Same author

Serum neurofilament light chain at time of diagnosis is an independent prognostic factor of survival in amyotrophic lateral sclerosis.

European journal of neurology·2019
Same author

Posttraumatic hemorrhagic dilated perivascular spaces.

Revue neurologique·2019

Related Experiment Video

Updated: Feb 10, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

Published on: July 19, 2019

12.1K

Multiple sclerosis biomarkers: Helping the diagnosis?

E Thouvenot1

  • 1Department of neurology, centre hospitalier universitaire Carémeau, 9, place du Pr. Robert Debré, 30029 Nîmes cedex 9, France; Équipe neuroprotéomique et signalisation des maladies neurologiques et psychiatriques, UMR5203, institut de génomique fonctionnelle, université de Montpellier, 141, rue de la Cardonille, 34094 Montpellier c edex 5, France.

Revue Neurologique
|May 23, 2018
PubMed
Summary

This review highlights key biomarkers for multiple sclerosis (MS) diagnosis and prognosis, including early disease stages. Combining multiple biomarkers and analyzing plasma may improve disease management and predict treatment responses.

Keywords:
BiomarkersCerebrospinal fluidDiagnosisMultiple sclerosisOCBPlasma

More Related Videos

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
11:35

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

Published on: June 30, 2014

58.8K
A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS
08:18

A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS

Published on: December 26, 2015

18.1K

Related Experiment Videos

Last Updated: Feb 10, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

Published on: July 19, 2019

12.1K
The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
11:35

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

Published on: June 30, 2014

58.8K
A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS
08:18

A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS

Published on: December 26, 2015

18.1K

Area of Science:

  • Neurology
  • Biomarker Discovery
  • Immunology

Background:

  • Multiple sclerosis (MS) is a complex, heterogeneous neurological disease.
  • Current diagnosis relies on symptoms, MRI, and excluding other conditions.
  • While MRI criteria have advanced, numerous biomarkers, particularly in cerebrospinal fluid, are being explored for MS diagnosis and prognosis.

Purpose of the Study:

  • To review validated biomarkers for multiple sclerosis (MS) diagnosis and prognosis.
  • To discuss the potential of new biomarker combinations for understanding disease complexity and staging.
  • To explore the utility of plasma-based biomarkers for less invasive MS monitoring.

Main Methods:

  • Review of large-scale studies validating new MS biomarkers.
  • Analysis of cerebrospinal fluid and plasma biomarker data.
  • Evaluation of biomarker utility across different MS stages, from early syndromes to progressive forms.

Main Results:

  • A restricted set of biomarkers shows potential value for early MS detection (clinically isolated syndrome, radiologically isolated syndrome).
  • Differentiating progressive MS from relapsing-remitting MS remains challenging but crucial for predicting secondary progression.
  • New approaches combining multiple biomarkers and plasma analysis offer promise for precise staging and predicting therapeutic responses.

Conclusions:

  • Validated biomarkers are crucial for diagnosing and prognosing multiple sclerosis (MS).
  • Combining multiple biomarkers and utilizing plasma analysis may enhance the understanding and management of MS.
  • Further research into novel biomarkers and their application in different MS phenotypes is warranted.