Related Experiment Video
Updated: Mar 18, 2026

12:35
Clinical Testing and Spinal Cord Removal in a Mouse Model for Amyotrophic Lateral Sclerosis ALS
Published on: March 17, 2012
28.8K
A clinical tool for predicting survival in ALS.
Jonathan A Knibb1, Noa Keren2, Anna Kulka2
1Brighton and Sussex University Hospitals NHS Trust, Royal Sussex County Hospital, Brighton, UK.
Journal of Neurology, Neurosurgery, and Psychiatry
|July 6, 2016
Summary
Predicting survival in amyotrophic lateral sclerosis (ALS) is crucial. Factors like age, diagnosis delay, riluzole, and NIV use significantly impact patient prognosis and disease progression.
Area of Science:
- Neuroscience
- Clinical Neurology
Background:
- Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with variable survival rates.
- Key prognostic factors include onset site, age, diagnosis delay, riluzole, and non-invasive ventilation (NIV).
Purpose of the Study:
- To develop a practical method for individualised ALS prognosis.
- To utilize known prognostic factors for predicting patient survival.
Main Methods:
- Studied 575 consecutive ALS patients from a population-based registry.
- Modeled survival in two steps: diagnosis to respiratory involvement, then respiratory involvement to death.
- Assessed predictor variable effects on each time interval.
Main Results:
- Younger age, longer diagnosis delay, and riluzole use correlated with slower progression to respiratory involvement.
- NIV use was linked to lower mortality post-respiratory involvement.
- Riluzole's effect may be greater in younger patients with longer diagnosis delays.
Conclusions:
- A simple, clinically applicable graphical method for predicting individual ALS survival from diagnosis is presented.
- Further validation in independent cohorts and inclusion of additional factors are recommended.
More Related Videos
Related Concept Videos
Cancer Survival Analysis
812
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
812
Myasthenia Gravis: Diagnostic Tests
3.0K
Myasthenia gravis is an autoimmune condition affecting neuromuscular transmission, causing generalized weakness in skeletal muscles. Initial diagnoses rely on patients' signs, symptoms, and medical history. The challenge lies in distinguishing myasthenia from other muscular dystrophies. An important diagnostic feature is the significant improvement of symptoms after administering anticholinesterase inhibitors.
The edrophonium test is a diagnostic tool for myasthenia gravis. It involves...
The edrophonium test is a diagnostic tool for myasthenia gravis. It involves...
3.0K

