Population-Based Evidence that Survival in Amyotrophic Lateral Sclerosis Is Related to Weight Loss at Diagnosis
Abstract
Background/Aims: In a population-based setting, we aimed to (i) describe weight loss (WL) of amyotrophic lateral sclerosis (ALS) patients at the time of diagnosis and (ii) evaluate the association between WL and survival. Methods: All patients recruited in the FRALim register (2000-2013) were considered to be included in this study. Time-to-death analyses were performed using a multivariable Cox model. Model discrimination and calibration were assessed. Results: Among 322 patients in the register, 261 (81%) were included. At the time of diagnosis, 50.6% of patients reported a WL of more than 5%: 14.6% with WL between 5 and 10% and 36.0% with a WL of more than 10%. WL was independently associated with survival (p = 0.002). Patients with a WL of 10% or more experienced a 45% increase in the risk of death (95% CI 6-99) with respect to patients with a WL lower than 5% or no WL. The introduction of WL significantly improved the model's discrimination achieving a survival C statistic of 79.5% (95% CI 75.6-83.5, p = 0.006) at 12 months. Conclusion: More than 50% of ALS patients experience a WL of more than 5% at the time of diagnosis. This finding highlights the need for randomized trials to evaluate the effect of nutritional interventions to improve ALS survival.
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A lower BMI at diagnosis and increased weight loss before diagnosis have been previously related to a higher risk of death after ALS diagnosis.
“A lower BMI at diagnosis [21, 24–26] and an increased weight loss before diagnosis [27, 28] have been previously related to a higher risk of death after ALS diagnosis.”
From Lifestyle and medical conditions in relation to ALS risk and progression—an introduction to the Swedish ALSrisc Study (2024) · cites this paper as [27]
Cites
Cedarbaum, J. M., Stambler, N., Malta, E., Fuller, C., Hilt, D., Thurmond, B., & Nakanishi, A. (1999) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(99)00210-5 · Cited by 3,307 · see citing works
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Bennett, D. A. (2001) · Australian and New Zealand Journal of Public Health · doi:10.1111/j.1467-842x.2001.tb00294.x · Cited by 1,656 · see citing works
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Chourpiliadis, C., Seitz, C., Lovik, A., Joyce, E. E., Pan, L., Hu, Y., Kläppe, U., Samuelsson, K., Press, R., Ingre, C., et al. (2024) · Journal of Neurology · doi:10.1007/s00415-024-12496-w · Cited by 10 · see citing works
“A lower BMI at diagnosis [21, 24–26] and an increased weight loss before diagnosis [27, 28] have been previously related to a higher risk of death after ALS diagnosis.”
Background
- Authors
- Marin, B., Arcuti, S., Jesus, P., Logroscino, G., Copetti, M., Fontana, A., Nicol, M., Raymondeau, M., Desport, J. C., Preux, P. M., Couratier, P., & (FRALim), O. B. O. T. F. R. O. A. I. L.
- Affiliations
- University of Bari Aldo Moro (IT)
- Casa Sollievo della Sofferenza (IT)
- Centre National de la Recherche Scientifique (FR)
- Épidémiologie des maladies chroniques en zone tropicale (FR)
- ORCID
- Venue
- Neurodegenerative Diseases
- Publisher
- S. Karger AG
- Published
- 2016
- Volume
- 16
- Issue
- 3-4
- Pages
- 225-234
- ISSN
- 1660-2854 (ISSN-L)
- 1660-2862
- OpenAlex
- W2268354613
- Cited by
- 48
- References
- 2
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 6 · 2023: 6 · 2022: 6 · 2021: 7 · 2020: 5 · 2019: 2 · 2018: 5 · 2017: 8
- FWCI
- 3.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurodegenerative Diseases (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Topics
- Health Sciences › Medicine › Neurology › Amyotrophic Lateral Sclerosis Research
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Keywords
- amyotrophic lateral sclerosis, weight loss, survival, mortality, nutritional status, dietary intervention, time to death
- MeSH terms
- Aged, Amyotrophic Lateral Sclerosis, Female, Follow-Up Studies, Humans, Male, Middle Aged, Nutritional Status, Prognosis, Registries, Risk, Weight Loss, Multivariate Analysis, Proportional Hazards Models
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