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Updated: Jun 12, 2026

A Quick Phenotypic Neurological Scoring System for Evaluating Disease Progression in the SOD1-G93A Mouse Model of ALS
Published on: October 6, 2015
Progression in ALS is not linear but is curvilinear
Paul H Gordon1, Bin Cheng, Francois Salachas
1Fédération des Maladies du Système Nerveux, AP-HP, Centre Référent Maladie Rare SLA, Hôpital de la Pitié-Salpêtrière, 47-83, Boulevard de l'Hôpital, 75651, Paris, France. paul.gordon@psl.aphp.fr
Amyotrophic lateral sclerosis (ALS) progression is non-linear, with the fastest decline in early and late stages. Older age and bulbar onset predict steeper decline and shorter survival in ALS patients.
Area of Science:
- Neurology
- Clinical Medicine
- Biostatistics
Background:
- Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease.
- Understanding the ALS progression curve and its influencing factors is crucial for patient management and therapeutic development.
Purpose of the Study:
- To determine the non-linear progression curve of ALS.
- To assess the impact of clinical variables on the rate of ALS progression.
- To evaluate the association between functional decline and survival in ALS patients.
Main Methods:
- Prospective data collection from 1,884 ALS patients (2002-2008).
- Analysis of demographic data, ALS Functional Rating Scale-Revised (ALSFRS-R), Manual Muscle Testing (MMT), and survival.
- Utilized generalized additive mixed models, linear mixed effects models, and Cox proportional hazards models.
Main Results:
- ALSFRS-R and MMT scores exhibited a curvilinear decline, best described by a quadratic fit.
- Older age at onset, bulbar onset, and more severe bulbar features were associated with faster decline.
- Higher rates of decline in ALSFRS-R and MMT, older age at onset, and bulbar onset predicted shorter survival.
Conclusions:
- ALS progression is non-linear, with accelerated decline in early and late disease phases.
- Age at onset and bulbar involvement significantly influence ALS progression rate and survival.
- The rate of functional decline, particularly early on, is a critical predictor of survival in ALS.
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