Related Experiment Video
Updated: Jan 22, 2026

Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis
Published on: October 13, 2016
Classifying Patients with Amyotrophic Lateral Sclerosis by Changes in FVC. A Group-based Trajectory Analysis
Jason Ackrivo1, John Hansen-Flaschen1, Bobby L Jones2
1Department of Medicine.
Researchers identified three distinct amyotrophic lateral sclerosis (ALS) respiratory progression patterns: stable low, slow progressor, and rapid progressor. This model predicts respiratory insufficiency, aiding future research and patient stratification.
Area of Science:
- Neurology
- Pulmonology
- Biostatistics
Background:
- Amyotrophic lateral sclerosis (ALS) is characterized by progressive respiratory muscle weakness.
- Stratifying ALS progression is crucial for understanding disease mechanisms and identifying patient phenotypes for clinical trials.
- Forced vital capacity (FVC) is a key indicator of respiratory function in ALS.
Purpose of the Study:
- To identify distinct clinical phenotypes of ALS respiratory progression.
- To categorize ALS progression based on forced vital capacity (FVC) trajectories over time.
- To develop a predictive model for respiratory muscle weakness progression in ALS patients.
Main Methods:
- A group-based trajectory model was derived from a single-center cohort of 837 ALS patients.
- The model was applied to the Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT) database (7,461 patients).
- Baseline characteristics predicted trajectory group membership, with FVC over time as the primary outcome.
Main Results:
- Three FVC trajectories were identified: "stable low," "rapid progressor," and "slow progressor."
- Rapid progressors showed shorter diagnosis delay, more bulbar-onset disease, and lower ALSFRS-R scores at baseline compared to slow progressors.
- The model predicted respiratory insufficiency in the PRO-ACT cohort with a concordance statistic of 0.78.
Conclusions:
- A validated group-based trajectory model for FVC progression in ALS was developed.
- This model accurately predicts respiratory insufficiency in an external ALS cohort.
- Future research should focus on stratifying patients, particularly those predicted as rapid progressors.
Related Concept Videos
Classifying Matter by Composition
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures.
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated.
A mixture is composed of two or...
Classifying Matter by State
How Data are Classified: Numerical Data
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
Lateralization
Nursing Interventions II: Selecting and Classifying the Nursing Interventions

