Agreement Between the Harmonized and the Self‐Explanatory Versions of the Revised ALS Functional Rating Scale in a Clinical Setting
Year: 2025
Type: article
Study design: Observational Study
Abstract: INTRODUCTION/AIMS: The harmonized version of the ALS Functional Rating Scale - Revised (ALSFRS-R) is typically administered according to standard operating procedures (SOPs) to ensure procedural consistency. In contrast, obtaining the self-explanatory (SE) version of the ALSFRS-R does not include the use of SOPs. The aim of this study was to examine the level of agreement between the harmonized and the SE version of the ALSFRS-R in a cohort of ALS patients. METHODS: In a prospective study, the harmonized ALSFRS-R was assessed in 107 ALS patients. In parallel, all patients independently completed the ALSFRS-R-SE, either on a printed form (n = 36) or remotely via the ALS App (n = 71). Agreement between methods was investigated using Spearman's correlation, Lin's concordance correlation coefficient (CCC), Deming regression, Bland-Altman plots and item-level statistics including Kendall's tau-b and the Stuart-Maxwell test. RESULTS: Total scores from ALSFRS-R and ALSFRS-R-SE showed high correlation (ρ = 0.91-0.95) and concordance (CCC > 0.9). Deming regression (intercept≈0; slope≈1) and Bland-Altman analysis (95% of values within limits of agreement [LoA]) revealed no systematic bias. Item-level agreement was high (76.6% on average), with some variability in items such as handwriting, walking, and dyspnea. ALS progression rates were consistent (differences ≤ 0.02). ALSFRS-R-SE remained robust across remote digital and paper-based assessments. DISCUSSION: The strong agreement between the harmonized and self-explanatory versions of the ALSFRS-R supports their interchangeable use. The SE format may facilitate remote digital assessment and reduce complexity of ALSFRS-R assessment in research and clinical practice. Further studies are warranted to validate the ALSFRS-R-SE across larger cohorts, multiple languages, and diverse rater groups.
Source: Muscle & Nerve
DOI: 10.1002/mus.70092
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,610
OpenAlex ID: W4416904258
