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Amyotrophic lateral sclerosis established as a multistep process across phenotypes
Journal article   Open access   Peer reviewed

Amyotrophic lateral sclerosis established as a multistep process across phenotypes

Laura Ziser, Ruben P. A. van Eijk, Matthew C. Kiernan, Allan McRae, Robert D. Henderson, David Schultz, Merrilee Needham, Susan Mathers, Pam McCombe, Paul Talman, …
European journal of neurology, e16532
2024
PMID: 39475283
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CC BY V4.0 Open Access

Abstract

amyotrophic lateral sclerosis incidence multistep process
Background and purpose Given the accepted multistep process of disease causation in amyotrophic lateral sclerosis (ALS), the present study was undertaken to determine the number of steps required for disease onset across each of the ALS phenotypes. Methods Clinical and demographic data were prospectively accumulated using the Australian Motor Neurone Disease Registry (2005–2016), and age-specific incidence rates were calculated. Poisson regression was utilized to assess the relationship between log age-specific incidence and log age of onset, with McFadden's R2 used to assess the goodness of fit of the model. Results In total, 2647 ALS patients were included, with mean disease-onset age being 62.2 ± 12.1 years. A linear relationship between log incidence and log age was established across ALS phenotypes, with variable slope estimates: bulbar 5.1 (95% confidence interval [CI] 4.6–5.6); cervical 2.7 (95% CI 2.3–3.0); lumbar 3.5 (95% CI 3.2–3.9); flail arm 4.7 (95% CI 3.9–5.5); flail leg 3.6 (95% CI 2.6–4.5); primary lateral sclerosis 2.7 (95% CI 1.8–3.7). Slope estimates were significantly higher in the bulbar compared to the cervical, lumbar and primary lateral sclerosis phenotypes. McFadden's R2 values were >0.4 for all phenotypes indicating excellent model fit. Discussion A multistep process has been established across all ALS phenotypes with variable slope estimates, suggesting that the number of steps to develop disease is different across clinical presentations. Identification of mechanisms underlying slope estimate variability could exert pathophysiological significance.

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.52 Neurodegenerative Diseases
1.52.765 ALS Mechanisms
Web Of Science research areas
Clinical Neurology
Neurosciences
ESI research areas
Neuroscience & Behavior
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