Phase angle, muscle mass, and functionality in patients with Parkinson’s disease

Nascimento, Tais; Silva, Rebecca Peixoto Paes; Luz, Marcella Campos Lima da; Cabral, Poliana Coelho; Bezerra, Gleyce Kelly de Araújo; Gomes, Andressa Caroline Burgos

doi:10.1007/s10072-022-05975-3

Cited by 8 publications

(2 citation statements)

References 35 publications

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“…Moreover, we can ascertain that PhA has a strong negative relationship with sarcopenia in some non-cancer diseases ( 35 , 37 – 39 , 41 – 43 , 45 – 48 ), whereas irrelevant results were found for Parkinson's ( 40 ) and kidney transplant ( 44 ) patients. Although muscle mass is reduced by prolonged paralysis in patients suffering from Parkinson's, the distribution of intracellular and extracellular water remains unchanged.…”

Section: Discussionmentioning

confidence: 92%

“…A negative correlation between PhA and sarcopenia was observed in acute stroke patients and patients recovering from stroke; the cutoff points for sarcopenia in these instances were 5.28° for males and 4.62° for females ( 38 ), and 4.76° for males and 4.11° for females ( 39 ), respectively. A recent case series study involving 77 individuals demonstrated that for Parkinson's disease patients with sarcopenia, after adjusting for bias, only age (OR = 0.423; P < 0.001) was associated with PhA, but skeletal muscle mass index, grip strength, and gait speed, which were the diagnostic standards for sarcopenia, were not ( 40 ). Altogether, studies have not yet consistently shown that PhA can predict sarcopenia in patients with brain disease, and further research is needed to verify its predictive value in this context.…”

Section: Pha Prediction For Sarcopenia In Patients With Non-cancer Di...mentioning

confidence: 99%

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Phase angle derived from bioelectrical impedance analysis as a marker for predicting sarcopenia

Ding

et al. 2022

Front. Nutr.

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Sarcopenia is commonly defined as the age-related loss of muscle mass and function and may be caused by several factors, such as genetics, environmental conditions, lifestyle, drug use, and, in particular, comorbidities. People with pre-existing conditions are more likely to develop sarcopenia and subsequently have a less favorable prognosis. Recently, phase angle (PhA), which is derived from bioelectrical impedance analysis (BIA), has received a great deal of attention, and numerous studies have been carried out to examine the relationship between PhA and sarcopenia in different conditions. Based on these studies, we expect that PhA could be used as a potential marker for sarcopenia in the future.

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