1. Prognostic value of bioelectrical impedance analysis in head and neck cancer patients undergoing radiotherapy: a VALOR® study
- Author
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Fresenius Kabi, Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72], Prior-Sánchez, Inmaculada, Herrera-Martínez, Aura D., Zarco-Martín, María Teresa, Fernández-Jiménez, Rocío, Gonzalo-Marín, Montserrat, Muñoz-Garach, Araceli, Vílchez-López, Francisco J., Cayón-Blanco, Manuel, Villarrubia-Pozo, Ana, Muñoz-Jiménez, Concepción, Zarco-Rodríguez, Felisa Pilar, Rabat Restrepo, Juana María, Luengo-Pérez, Luis Miguel, Boughanem, Hatim, Martínez-Ramírez, María José, García-Almeida, José Manuel, Fresenius Kabi, Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72], Prior-Sánchez, Inmaculada, Herrera-Martínez, Aura D., Zarco-Martín, María Teresa, Fernández-Jiménez, Rocío, Gonzalo-Marín, Montserrat, Muñoz-Garach, Araceli, Vílchez-López, Francisco J., Cayón-Blanco, Manuel, Villarrubia-Pozo, Ana, Muñoz-Jiménez, Concepción, Zarco-Rodríguez, Felisa Pilar, Rabat Restrepo, Juana María, Luengo-Pérez, Luis Miguel, Boughanem, Hatim, Martínez-Ramírez, María José, and García-Almeida, José Manuel
- Abstract
Introduction: Bioelectrical 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. Methods: A 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. Results: Significant 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 hospita
- Published
- 2024