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

Authors :
Inmaculada Prior-Sánchez
Aura Dulcinea Herrera-Martínez
María Teresa Zarco-Martín
Rocío Fernández-Jiménez
Montserrat Gonzalo-Marín
Araceli Muñoz-Garach
Francisco Javier Vilchez-López
Manuel Cayón-Blanco
Ana Villarrubia-Pozo
Concepción Muñoz-Jiménez
Felisa Pilar Zarco-Rodríguez
Juana María Rabat-Restrepo
Luis Miguel Luengo-Pérez
Hatim Boughanem
María José Martínez-Ramírez
Jose Manuel García-Almeida
Source :
Frontiers in Nutrition, Vol 11 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

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

Details

Language :
English
ISSN :
2296861X
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Frontiers in Nutrition
Publication Type :
Academic Journal
Accession number :
edsdoj.b257fb24db734a63b99a8677d3c1fb7f
Document Type :
article
Full Text :
https://doi.org/10.3389/fnut.2024.1335052