Evidence map›Paper›PMID 42062527›Full record

ArticleEuropean journal of clinical nutrition2026

Agreement between bioimpedance-measured and calf-derived appendicular skeletal muscle mass in amyotrophic lateral sclerosis patients.

Domenico Azzolino, Aida Zulueta, Rachele Piras, Paola Mariani, Riccardo Sideri, Tiziano Lucchi, Christian Lunetta

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Article in European journal of clinical nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Domenico AzzolinoGeriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy. do.azzolino@hotmail.it.ORCID http://orcid.org/0000-0002-4910-7373
Aida ZuluetaDepartment of Neurorehabilitation of the Milan Institute, Istituti Clinici Scientifici Maugeri IRCCS, Milan, Italy.
Rachele PirasDepartment of Neurorehabilitation of the Milan Institute, Istituti Clinici Scientifici Maugeri IRCCS, Milan, Italy.
Paola MarianiDepartment of Neurorehabilitation of the Milan Institute, Istituti Clinici Scientifici Maugeri IRCCS, Milan, Italy.
Riccardo SideriDepartment of Neurorehabilitation of the Milan Institute, Istituti Clinici Scientifici Maugeri IRCCS, Milan, Italy.
Tiziano LucchiGeriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy.
Christian LunettaDepartment of Neurorehabilitation of the Milan Institute, Istituti Clinici Scientifici Maugeri IRCCS, Milan, Italy.

Funding

Ministero della Salute (Ministry of Health, Italy) Ricerca Corrente
6 · The paper itself

Abstract

backgroundOver time, amyotrophic lateral sclerosis (ALS) has been considered an accelerated model of sarcopenia. However, muscle mass is rarely assessed in ALS patients. The aim of this study was to explore the agreement between bioelectrical impedance analysis (BIA)-measured and calf circumference (CC)-derived appendicular skeletal muscle mass index (ASMMI) in ALS patients.

methodsBody composition was assessed using anthropometric measures and BIA. Pearson analyses were used to assess correlations and Kappa (κ) statistics were used to evaluate agreement between BIA-measured and CC-derived ASMMI. CC predictive ability was assessed through the area under the receiver operating characteristic curve.

resultsA total of 61 ALS patients were included. The CC-ASMM was highly correlated with the BIA-ASMM (r = 0.830, p < 0.001) and CC-ASMMI was moderately correlated with BIA-ASMMI (r = 0.62, p < 0.001). Low CC-derived and BIA-derived ASMMI presented a moderate degree of agreement in the overall sample (k = 0.546, 95% CI 0.325-0.767) and in men (k = 0.432, 95% CI 0.056-0.809), while a substantial agreement was observed in women (k = 0.613, 95% CI 0.344-0.883). The optimal cut-off values for CC in identifying low ASMMI from the ROC analysis, were 34 cm for both sexes with an area under the curve (AUC) of 0.818 for men (sensitivity 80%, specificity 78.3%) and of 0.841 (sensitivity 83.3%, specificity 72.7%) for women.

conclusionOur preliminary study showed a good predictive ability of the CC, an anthropometric parameter significantly associated with sarcopenia, in reflecting the ASMM. The best performance was found for a CC cut-off point of ≤34 cm in both sexes.

Indexed as

Amyotrophic Lateral SclerosisBody CompositionElectric ImpedanceMuscle, SkeletalSarcopeniaAgedFemaleHumansLegMaleMiddle AgedROC Curve

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.