Factors Affecting Energy Metabolism and Prognosis in Patients with Amyotrophic Lateral Sclerosis.


Journal

Annals of nutrition & metabolism
ISSN: 1421-9697
Titre abrégé: Ann Nutr Metab
Pays: Switzerland
ID NLM: 8105511

Informations de publication

Date de publication:
2021
Historique:
received: 26 11 2020
accepted: 04 08 2021
pubmed: 14 9 2021
medline: 14 1 2022
entrez: 13 9 2021
Statut: ppublish

Résumé

Nutritional status is a factor affecting prognosis in patients with amyotrophic lateral sclerosis (ALS). Here, we aimed to clarify the factors associated with hypermetabolism and the prognosticators of ALS. Forty-two inpatients (22 men, 20 women) diagnosed with ALS according to the revised El-Escorial criteria were investigated. The following data were retrospectively analyzed: anthropometric measurements, blood biochemistry, disease severity, basal energy expenditure (BEE), resting energy expenditure (REE) measured by indirect calorimetry, spirometry, and bioelectrical impedance analysis. Single and multiple regression analysis was performed to examine factors affecting REE and metabolic changes (defined as the ratio of REE to fat-free mass [FFM]). The Kaplan-Meier method was used to examine factors associated with the occurrence of cumulative events (death or tracheostomy). Among the 42 inpatients, REE was significantly higher than BEE, indicating hypermetabolism in ALS. Multiple regression analysis revealed that REE/FFM is strongly associated with the skeletal muscle index (-3.746 to -1.532, p < 0.0001) and percent forced vital capacity (%FVC) (-0.172 to -0.021, p = 0.013). Moreover, both the skeletal muscle index and %FVC were significant prognosticators associated with the occurrence of cumulative events. Energy metabolism was elevated in ALS, and respiratory status and muscle mass were associated with the hypermetabolism and poor prognosis. Adequate nutritional support may improve outcomes in ALS by preventing deterioration of respiratory status and reduction in muscle mass.

Sections du résumé

BACKGROUND/AIMS
Nutritional status is a factor affecting prognosis in patients with amyotrophic lateral sclerosis (ALS). Here, we aimed to clarify the factors associated with hypermetabolism and the prognosticators of ALS.
METHODS
Forty-two inpatients (22 men, 20 women) diagnosed with ALS according to the revised El-Escorial criteria were investigated. The following data were retrospectively analyzed: anthropometric measurements, blood biochemistry, disease severity, basal energy expenditure (BEE), resting energy expenditure (REE) measured by indirect calorimetry, spirometry, and bioelectrical impedance analysis. Single and multiple regression analysis was performed to examine factors affecting REE and metabolic changes (defined as the ratio of REE to fat-free mass [FFM]). The Kaplan-Meier method was used to examine factors associated with the occurrence of cumulative events (death or tracheostomy).
RESULTS
Among the 42 inpatients, REE was significantly higher than BEE, indicating hypermetabolism in ALS. Multiple regression analysis revealed that REE/FFM is strongly associated with the skeletal muscle index (-3.746 to -1.532, p < 0.0001) and percent forced vital capacity (%FVC) (-0.172 to -0.021, p = 0.013). Moreover, both the skeletal muscle index and %FVC were significant prognosticators associated with the occurrence of cumulative events.
CONCLUSIONS
Energy metabolism was elevated in ALS, and respiratory status and muscle mass were associated with the hypermetabolism and poor prognosis. Adequate nutritional support may improve outcomes in ALS by preventing deterioration of respiratory status and reduction in muscle mass.

Identifiants

pubmed: 34515052
pii: 000518908
doi: 10.1159/000518908
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

236-243

Informations de copyright

© 2021 The Author(s). Published by S. Karger AG, Basel.

Auteurs

Mika Kurihara (M)

Division of Clinical Nutrition, Shiga University of Medical Science, Otsu, Japan.

Shigeki Bamba (S)

Division of Clinical Nutrition, Shiga University of Medical Science, Otsu, Japan.

Shoko Yasuhara (S)

Division of Clinical Nutrition, Shiga University of Medical Science, Otsu, Japan.

Akihiko Itoh (A)

Department of Comprehensive Internal Medicine, Shiga University of Medical Science, Otsu, Japan.

Taishi Nagao (T)

Medical Education Center, Shimane University Hospital, Izumo, Japan.

Naoko Nakanishi (N)

Department of Neurology, Shiga University of Medical Science, Otsu, Japan.

Ryutaro Nakamura (R)

Department of Neurology, Shiga University of Medical Science, Otsu, Japan.

Nobuhiro Ogawa (N)

Department of Neurology, Shiga University of Medical Science, Otsu, Japan.

Akihiro Kitamura (A)

Department of Neurology, Shiga University of Medical Science, Otsu, Japan.

Isamu Yamakawa (I)

Department of Neurology, Shiga University of Medical Science, Otsu, Japan.

Hyou Kim (H)

Department of Neurology, Shiga University of Medical Science, Otsu, Japan.

Mitsuru Sanada (M)

Department of Neurology, Shiga University of Medical Science, Otsu, Japan.

Makoto Urushitani (M)

Department of Neurology, Shiga University of Medical Science, Otsu, Japan.

Masaya Sasaki (M)

Division of Clinical Nutrition, Shiga University of Medical Science, Otsu, Japan.

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