Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder characterized by motor neuron degeneration, muscle wasting, and respiratory failure, with a median survival of 30 months. Due to the strong link between dysphagia, weight loss, and disease progression, this study investigates the relationship between body composition and clinical outcomes in ALS adults. This cross-sectional study involved 93 ALS adults (29 females, 64 males) from Imam Khomeini Hospital in Tehran, selected based on EI Escorial criteria. Researchers assessed body composition, functional abilities, and disease progression using ALSFRS-R, MRC scores, and DPR, analyzing associations through linear regression models with RStudio in conjunction with R software. In this study, significant differences were found between the third and first tertiles for various measures. Significant associations were observed between body composition and ALSFRS-R for MAC (β: 3.0; P = 0.006), with underweight and moderately active adults exhibiting notable differences. The MRC score was positively associated with FFM (β: 5.8; P = 0.002), SLM (β: 5.6; P = 0.002), SMM (β: 3.8; P = 0.001), MAC (β: 3.2; P = 0.002), ICW (β: 2.7; P = 0.002), and ECW (β: 1.5; P = 0.003), while underweight and low-to-moderate physical activity adults indicated inverse associations. For DPR, significant relationships were noted for weight (β: 4.5; 95% CI: 0.02, 9.3; P = 0.002) and FFM (β: 11; P < 0.001), influenced by gender and physical activity. The findings highlight the role of gender, weight, and activity in ALS management, suggesting that maintaining a healthy weight along and muscle mass along with regular activity is associated with better outcomes. This can inform personalized treatment strategies for better patient care.
Keywords: Amyotrophic lateral sclerosis, Body composition, Cross-sectional, Disease progression
BMC neurology
Journal Article
English
42218400
Guideline Central and select third party use “cookies” on this website to enhance the user experience.
This technology helps us gather statistical and analytical information to optimize the relevant content for you.
The user also has the option to opt-out which may have an effect on the browsing experience.