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A Quick Phenotypic Neurological Scoring System for Evaluating Disease Progression in the SOD1-G93A Mouse Model of ALS
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Prognostic factors affecting ALS progression through disease tollgates.

Haoran Wu1, F Safa Erenay2, Osman Y Özaltın3

  • 1School of Business, Sun Yat-Sen University, Guangzhou, Guangdong, China.

Journal of Neurology
|December 16, 2024
PubMed
Summary

Progression of Amyotrophic Lateral Sclerosis (ALS) is significantly influenced by specific patient phenotypes and disease tollgates. Understanding these factors helps predict disease aggressiveness and patient outcomes.

Keywords:
Amyotrophic lateral sclerosis tollgatesDisease progressionKaplan–Meier analysisPrognostic factorsTime trajectory projection

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Area of Science:

  • Neurology
  • Clinical Research
  • Biostatistics

Background:

  • Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disease.
  • Predicting the timing of critical clinical events in ALS is crucial for patient management.
  • Existing models may not fully capture the complex progression trajectories.

Purpose of the Study:

  • To identify and understand factors influencing the timing of critical clinical events (tollgates) in ALS progression.
  • To develop a more nuanced understanding of ALS disease trajectories.

Main Methods:

  • Utilized data from 6366 patients in the PRO-ACT database.
  • Augmented patient data with classification of tollgate-passed information.
  • Employed Kaplan-Meier analyses for time trajectories and log-rank tests for prognostic factors.
  • Used decision-tree classification to identify ALS phenotypes based on initial body segment involvement.

Main Results:

  • Both standard factors (gender, onset type) and tollgate-related factors (phenotype, initial tollgate level) significantly impact ALS progression timing.
  • Phenotype and initial impairment level demonstrated a stronger effect on progression than standard factors.
  • Specific examples illustrate the differential impact, such as bulbar-onset patients progressing faster than limb-onset patients.

Conclusions:

  • Tollgate- and phenotype-related factors are key determinants of ALS progression speed.
  • A comprehensive consideration of all identified factors is necessary for accurate patient stratification and prediction of disease aggressiveness.