journal article·2024-02-15Open access

Phase Angle and Bioelectrical Impedance Vector Analysis (BIVA) in Amyotrophic Lateral Sclerosis (ALS) Patients

Thais Alves Cunha, Márcia Marília Gomes Dantas Lopes, Acsa Nara de Araújo Brito, Karina Marques Vermeulen-Serpa, Sancha Helena de Lima Vale, José Brandão-Neto, Lucia Leite-Lais

Applied Sciences· Volume 14· Issue 4

Abstract

Phase angle (PhA) and bioelectrical impedance vector analysis (BIVA) have emerged as valuable tools for assessing nutritional status and prognosis in various patient populations, but there is a lack of studies in rare neurodegenerative diseases. The purpose of this cross-sectional study was to investigate these bioelectrical parameters in patients with amyotrophic lateral sclerosis (ALS), compared with healthy peers. The tetrapolar impedance method was applied and bioimpedance analysis (BIA) was performed. Bioelectrical parameters were obtained (Resistance—R; Reactance—Xc) or calculated (PhA; BIVA). For BIVA, bivariate vectors and confidence ellipses were graphically represented. In addition, R and Xc were used to determine body composition (BC) (Fat Mass—FM; Fat-Free Mass—FFM; and Total Body Water—TBW). In this study, 40 participants were divided into two groups: case group (n = 20, ALS patients) and control group (n = 20, healthy subjects. Our main results showed that ALS patients presented low levels of BMI, FFM, R, and Xc adjusted by height (R/H, Xc/H), hydration, and cellularity, compared to the healthy subjects. Our findings highlight BC and bioelectrical parameters, including PhA and BIVA, as valuable indicators of nutrition status, which should be implemented in the nutrition care process of ALS patients during the disease course.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Body Composition Measurement Techniques · Muscle activation and electromyography studies · Cerebral Palsy and Movement Disorders

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Postgraduate Health Sciences Program, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil

Departament of Nutrition, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil

Funding

CAPES—Higher Education Improvement Coordination

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