Bioelectrical Phase Angle in Patients with Breast Cancer: A Systematic Review

Morlino, D.; Cioffi, Iolanda; Marra, Maurizio; Vincenzo, Olivia Di; Scalfi, Luca; Pasanisi, Fabrizio

doi:10.3390/cancers14082002

Cited by 23 publications

(22 citation statements)

References 73 publications

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“…Based on the results above ( Table 1 ), we find that, in terms of cancer, low PhA is associated with sarcopenia risk in patients, particularly in gastric cancer ( 25 ), colorectal cancer ( 24 ), and prostate cancer ( 26 ). However, PhA has only been proven to be associated with malnutrition rather than sarcopenia in some types of cancers ( 29 – 34 ). As patients with breast cancer are at lower risk of malnutrition and sarcopenia, no conclusions can be drawn on the associations between PhA and sarcopenia ( 29 ).…”

Section: Discussionmentioning

confidence: 99%

“…In addition to the cancer types above, for which the relationship between PhA and sarcopenia has been demonstrated, there are a large number of cancers for which this relationship has not been clearly shown as the associated studies only investigated whether PhA could predict nutritional status. A systematic review, which included 16 studies of patients with breast cancer, proved that PhA can serve as a predictor of nutritional and functional status but not sarcopenia, and the predominant reason for this was that breast cancer patients were less likely to suffer from sarcopenia, resulting in an ambiguous link between PhA and sarcopenia ( 29 ). Furthermore, in patients with hepatobiliary-pancreatic (HBP) cancer ( 30 ), head and neck cancer ( 31 ), ovarian cancer ( 32 ), esophageal cancer ( 33 ), and cervical cancer ( 34 ), PhA has only been associated with malnutrition, and, to date, no studies have investigated the relationship between PhA and sarcopenia.…”

Section: Pha Prediction For Sarcopenia In Patients With Cancermentioning

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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Section: Discussionmentioning

confidence: 99%

Section: Pha Prediction For Sarcopenia In Patients With Cancermentioning

confidence: 99%

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

Ding

et al. 2022

Front. Nutr.

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“…Francisco et al [27] found that PhA predicted ICW and the ratio between ECW and ICW; higher values in PhA are related to increased ICW pool and lower ECW/ICW ratio, independently from other confounding factors. Definitely, PhA is positively related to body cellular mass (BCM), while a negative relationship could be observed for ECW/ ICW ratio [28][29][30]. Therefore, the shift of fluids from the ICW to ECW might be the expression of oedema or malnutrition [28][29][30].…”

Section: Bioelectrical Phase Angle: Definition and Characteristicsmentioning

confidence: 99%

“…Definitely, PhA is positively related to body cellular mass (BCM), while a negative relationship could be observed for ECW/ ICW ratio [28][29][30]. Therefore, the shift of fluids from the ICW to ECW might be the expression of oedema or malnutrition [28][29][30].…”

Section: Bioelectrical Phase Angle: Definition and Characteristicsmentioning

confidence: 99%

The role of bioelectrical phase angle in patients with heart failure

Scicchitano¹,

Massari²

2022

Rev Endocr Metab Disord

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The most challenging feature of heart failure (HF) still remains the evaluation of congestion. Residual congestion at discharge and the difficulties in perfectly dosing therapies in order to balance the hydration status of the patient are the most worrisome issues when dealing with HF. The use of bioimpedance vector analysis (BIVA) might promote a different approach in the general management of patients with HF. BIVA is a reliable, fast, bedside tool able to assess the congestion status. It proved to be helpful to physicians for diagnosing congestive status, managing therapies, and providing prognostic information in the setting of HF. Bioelectrical Phase Angle (PhA) – as derived from equations related to the parameters of BIVA – recently surged as a possible biomarker for patients with HF. Studies provided data about the application of PhA in the clinical management and in the overall risk stratification of HF patients. Basically, the use of PhA might be considered as a holistic evaluation of patients with HF which includes the need for a multiparametric approach able to effectively depict the clinical status of patients. There is no definite biomarker able to comprehensively describe and identify all the features of HF patient, but scores based on molecules/techniques able to explore the different pathogenetic mechanisms of HF are desirable. The aim of this review was to provide a comprehensive evaluation of literature related to PhA role in HF and the impact of this biomarker on clinical management and risk stratification of HF patients.

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“…A PhA cutoff value of 5.6° is used as a marker of the health status and functional capacity in breast cancer survivors [24]. Available data suggests that PhA decreases 5-15% following chemotherapy [25]. Therefore, exercise-based cancer rehabilitation programs should aim to restore PhA to baseline values or above 5.6°, which could be associated with an improved survival and QOL [6].…”

Section: Introductionmentioning

confidence: 99%

Muscular Strength Predicts Phase Angle in Breast Cancer Survivors

Short

Teranishi-Hashimoto²,

Yamada

2022

Preprint

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Phase angle (PhA) has emerged as a prognostic indicator of survival and quality of life (QOL) in cancer patients. Identifying measures of physical fitness that correlate with PhA can provide guidance towards optimizing cancer rehabilitation programs.PURPOSE: To examine the relationship between PhA and physical fitness in breast cancer survivors. METHODS: Sixty-three breast cancer survivors (60 ± 9 years, PhA 4.59±0.52, mean±SD) completed assessments for muscular strength, muscular endurance, cardiorespiratory endurance, flexibility, and body composition. PhA and body composition were measured using bioimpedance analysis (Inbody 770) at 50 KHz. The correlations between phase angle and measures of fitness were evaluated using Pearson coefficients. Simple and multiple linear regression was used to test if measures of muscular strength, muscular endurance, and cardiorespiratory endurance significantly predict PhA.RESULTS: Linear regression analysis showed that incline bench press 1-RM alone explains 28% (r2 = 0.28) of the variance in PhA. Multiple linear regression showed that incline bench press 1-RM, chair squat test repetitions, and predicted VO2peak explain 32% (r2 =0.32) of the variance in PhA. Incline bench press-1RM remained a significant predictor of PhA after adjusting for age (p=0.0001), while muscular endurance and cardiorespiratory endurance did not.CONCLUSION: Muscular strength is suggested to be a significant predictor of PhA in breast cancer survivors, while muscular endurance and cardiorespiratory endurance are not.IMPLICATIONS FOR CANCER SURVIVORS: The prioritization of muscular strength for improving PhA in exercise based cancer rehabilitation programs may be of importance.

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Bioelectrical Phase Angle in Patients with Breast Cancer: A Systematic Review

Cited by 23 publications

References 73 publications

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

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

The role of bioelectrical phase angle in patients with heart failure

Muscular Strength Predicts Phase Angle in Breast Cancer Survivors

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