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Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
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Neurodegenerative disorders are progressive diseases that cause irreversible damage and loss to neurons in specific brain areas. Examples of these disorders include Parkinson's disease, Alzheimer's disease, Multiple Sclerosis (MS), and Amyotrophic Lateral Sclerosis (ALS). These disorders share characteristics such as proteinopathies, selective neuronal vulnerability, and a complex interplay between genetic and environmental factors. The primary therapeutic goal for these conditions is to...
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Related Experiment Video

Updated: May 21, 2026

Utility of Dissociated Intrinsic Hand Muscle Atrophy in the Diagnosis of Amyotrophic Lateral Sclerosis
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Published on: March 4, 2014

Prognostic categories for amyotrophic lateral sclerosis.

William J Scotton1, Kirsten M Scott, Dan H Moore

  • 1MRC Centre for Neurodegeneration Research, King's College London, Institute of Psychiatry, London, UK.

Amyotrophic Lateral Sclerosis : Official Publication of the World Federation of Neurology Research Group on Motor Neuron Diseases
|June 8, 2012
PubMed
Summary

A new prognostic score effectively classifies amyotrophic lateral sclerosis (ALS) patients into survival categories. This method uses readily available clinical data at diagnosis, aiding in personalized treatment strategies for ALS.

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Area of Science:

  • Neurology
  • Clinical Epidemiology

Background:

  • Amyotrophic lateral sclerosis (ALS) prognosis is complex and impacts patient management.
  • Accurate prognostic tools are needed for better clinical decision-making and patient counseling.

Purpose of the Study:

  • To develop and validate a prognostic classification method for amyotrophic lateral sclerosis (ALS) using clinical variables.
  • To create a prognostic score capable of categorizing patients into distinct survival groups.

Main Methods:

  • Retrospective multivariate analysis of 713 ALS patients from the South-East England ALS (SEALS) register over 20 years.
  • Patients were divided into discovery and test cohorts; a prognostic score was derived from the discovery cohort and validated in the test cohort.
  • Six key variables (age at onset, diagnostic delay, El Escorial category, riluzole use, gender, site of onset) were used in a Cox regression survival model.

Main Results:

  • The prognostic score accurately predicted survival in the test cohort with an r² of 0.72.
  • Cox regression confirmed a strong relationship between the selected variables and survival (p < 0.0001).
  • Kaplan-Meier analysis showed significant survival differences between prognostic categories (p < 0.001), with the score accurately predicting survival for 64% of patients.

Conclusions:

  • A prognostic classification method for ALS can be successfully generated using clinical data available at diagnosis.
  • This prognostic score allows for the reliable categorization of ALS patients into good, moderate, average, and poor prognostic groups.
  • The findings support the use of easily accessible clinical data for developing accurate ALS prognostic tools.