Observational studyJournal of cachexia, sarcopenia and muscle2024
Improving the nutritional evaluation in head neck cancer patients using bioelectrical impedance analysis: Not only the phase angle matters.
Observational study in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Article
- Observational
- Body composition analysis and handgrip strength as predictors of 12-month mortality in hospitalized adults receiving parenteral nutrition: A descriptive cohort study.JPEN. Journal of parenteral and enteral nutrition · 2026Observational
- Predictors of aspiration pneumonia in oral cavity cancer patients undergoing radiation therapy: A focus on skeletal muscle index.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Effects of Dietary Interventions on Nutritional Status in Patients with Gastrointestinal Cancers: A Systematic Review.Biomedicines · 2026Review
- Joint association of estimated skeletal muscle mass index and prognostic nutritional index with all-cause mortality in individuals with non-metastatic nasopharyngeal cancer.Frontiers in nutrition · 2026Article
- Impact of Nutritional Status on Severe Radiation-Induced Mucositis in Oropharyngeal Cancer Patients Undergoing Chemo-Radiotherapy.Nutrients · 2025Article
- Observational
- Article
- Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group.Cancers · 2024Article
- Improving the nutritional evaluation in head neck cancer patients using bioelectrical impedance analysis: Not only the phase angle matters.Journal of cachexia, sarcopenia and muscle · 2024Observational
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
backgroundMalnutrition and sarcopenia are highly prevalent in patients with head neck cancer (HNC). An accurate early diagnosis is necessary for starting nutritional support, as both are clearly associated with clinical outcomes and mortality. We aimed to evaluate the applicability and accuracy of body composition analysis using electrical bioimpedance vectorial analysis (BIVA) for diagnosing malnutrition and sarcopenia in patients with HNC cancer undergoing systemic treatment with chemotherapy or radiotherapy.
methodsCross-sectional, observational study that included 509 HNC patients. A comprehensive nutritional evaluation that included BIVA was performed.
resultsThe prevalence of malnutrition was higher in patients that received treatment with chemotherapy (59.2% vs. 40.8%, P < 0.001); increased mortality was observed in malnourished patients (33.3% vs. 20.1%; P < 0.001); ECOG status (1-4) was also worse in malnourished patients (59.2% vs. 22.8% P < 0.001). Body cell mass (BCM) and fat mass were the most significantly associated parameters with malnutrition [OR 0.88 (0.84-0.93) and 0.98 (0.95-1.01), respectively]; BCM and fat free mass index (FFMI) were associated with several aspects including (1) the patient-generated subjective global assessment [OR 0.93 (0.84-0.98) and 0.86 (0.76-0.97), respectively], (2) the presence of sarcopenia [OR 0.81 (0.76-0.87) and 0.78 (0.66-0.92), respectively]. A BCM index (BCMI) < 7.8 in combination with other parameters including FFMI and BCM accurately predicted patients with malnutrition [accuracy 95% CI: 0.803 (0.763-0.839); kappa index: 0.486; AUC: 0.618 (P < 0.01)]. A BCMI cutoff of 7.6 was enough for identifying males with malnutrition (P < 0.001), while it should be combined with other parameters in females.
conclusionsBody composition parameters determined by BIVA accurately identify patients with HNC and malnutrition. Phase angle, but other parameters including BCMI, FFMI and BCM provide significant information about nutritional status in patients with HNC.
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