Association of phase angle with muscle function and prognosis in patients with head and neck cancer undergoing chemoradiotherapy

Yamanaka, Ayaka; Yasui-Yamada, Sonoko; Furumoto, Taiki; Kubo, Miyu; Hayashi, Haruka; Kitao, Midori; Wada, Kyoko; Ohmae, Nao; Kamimura, Seiichiro; Shimada, Aki; Sato, Nori; Katoh, Shinsuke; Takeda, Noriaki; Hamada, Y.

doi:10.1016/j.nut.2022.111798

Cited by 6 publications

(2 citation statements)

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“…TNM stage (1)(2)(3)(4), chemotherapy (yes/no), complications (yes/no): dermatitis (yes/no), dysphagia (yes/no), mucositis (yes/no), asthenia (yes/no), unplanned admissions (yes/no; days), exitus (yes/no), and persistence/free disease were included. The Eastern Cooperative Oncology Group (ECOG) scale was used to evaluate the functional status and quality of life (0: asymptomatic, normal activity, 1: symptomatic, may wander, 2: bedridden <50% of the day, with minimal assistance, 3: bedridden >50% of the day, with notable assistance, 4: bedridden all day, severely limited, and 5: deceased).…”

Section: Clinicopathological Variablesmentioning

confidence: 99%

“…Patients with head and neck cancer (HNC) represent a clinical, nutritional, and metabolically heterogeneous group of tumors. This population have a high prevalence of involuntary weight loss and muscle mass (MM) and a disease-related malnutrition (DRM) rate that can reach 30-55% (1). DRM is a negative prognostic factor that leads to altered body composition, decreased physical and mental function, and impaired clinical outcomes from the disease, such as greater morbidity, poorer tolerance to cancer treatments, increased health costs, and lower quality of life and life expectancy (2-6).…”

Section: Introductionmentioning

confidence: 99%

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Prognostic value of bioelectrical impedance analysis in head and neck cancer patients undergoing radiotherapy: a VALOR® study

Prior-Sánchez,

Herrera-Martínez,

Zarco-Martín

et al. 2024

Front. Nutr.

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IntroductionBioelectrical impedance analysis (BIA) serves as a method to estimate body composition. Parameters such as phase angle (PA), standardized phase angle (SPA), body mass cell (BCM), BCM index (BCMI), and fat-free mass (FFM) might significantly impact the prognosis of head and neck cancer (HNC) patients. The present study aimed to investigate whether bioelectrical parameters can be used to predict survival in the HNC population and establish the optimal cutoff points for predictive accuracy.MethodsA multicenter observational study was performed across 12 tertiary hospitals in Andalusia (a region from the south of Spain). A total of 494 patients diagnosed with HNC between 2020 and 2022 at different stages were included in this study, with a minimum follow-up period of 12 months. The BIA assessment was carried out during the first 2 weeks of radical radiotherapy treatment with chemotherapy or other systemic treatments. A multivariate logistic regression analysis of overall survival, complications, hospital admission, and palliative care and its relationship with BIA nutritional assessment was performed.ResultsSignificant prognostic factors identified in the multivariable analysis encompassed phase angle (PA), standardized phase angle (SPA), body cell mass (BCM), and BCM index (BCMI). Lower PA and BCM values were significantly associated with adverse clinical outcomes. A BCM threshold above 17 kg/m2 was the most significant predictor for predicting survival within the overall HNC population. The PA values of <5.1° in male and <4.8° in female patients showed the best predictive potential for mortality. Increased PA (as a continuous variable) demonstrated a significantly reduced risk for mortality (OR, 0.64; 95% CI, 0.43–0.94; p < 0.05) and a decreased likelihood of hospital admission (OR, 0.75; 95% CI, 0.52–1.07; p < 0.05). Higher BCM correlated with a lower risk of mortality (OR, 0.88; 95% CI, 0.80–0.96; p < 0.01) and a diminished probability of hospital admission (OR, 0.91; 95% CI, 0.83–0.99; p < 0.05).ConclusionBIA is a crucial tool in the nutritional assessment of HNC patients. BCM and PA are the main bioelectrical parameters used to predict clinical outcomes in this population. Future studies are needed to validate BIA variables in a large cohort to ensure whether early intensification of nutritional treatment would improve survival.

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Section: Clinicopathological Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%