Aura D. Herrera-Martínez, Inmaculada Prior-Sánchez, María Luisa Fernández-Soto, María García-Olivares, Cristina Novo-Rodríguez, María González-Pacheco, María José Martínez-Ramirez, Alba Carmona-Llanos, Andrés Jiménez-Sánchez, Concepción Muñoz-Jiménez, Fátima Torres-Flores, Rocío Fernández-Jiménez, Hatim Boughanem, María Carmen del Galindo-Gallardo, Luis Miguel Luengo-Pérez, María Josefa Molina-Puerta, José Manuel García-Almeida
{"title":"Improving the nutritional evaluation in head neck cancer patients using bioelectrical impedance analysis: Not only the phase angle matters","authors":"Aura D. Herrera-Martínez, Inmaculada Prior-Sánchez, María Luisa Fernández-Soto, María García-Olivares, Cristina Novo-Rodríguez, María González-Pacheco, María José Martínez-Ramirez, Alba Carmona-Llanos, Andrés Jiménez-Sánchez, Concepción Muñoz-Jiménez, Fátima Torres-Flores, Rocío Fernández-Jiménez, Hatim Boughanem, María Carmen del Galindo-Gallardo, Luis Miguel Luengo-Pérez, María Josefa Molina-Puerta, José Manuel García-Almeida","doi":"10.1002/jcsm.13577","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Malnutrition 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.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Cross-sectional, observational study that included 509 HNC patients. A comprehensive nutritional evaluation that included BIVA was performed.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The prevalence of malnutrition was higher in patients that received treatment with chemotherapy (59.2% vs. 40.8%, <i>P</i> < 0.001); increased mortality was observed in malnourished patients (33.3% vs. 20.1%; <i>P</i> < 0.001); ECOG status (1–4) was also worse in malnourished patients (59.2% vs. 22.8% <i>P</i> < 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 (<i>P</i> < 0.01)]. A BCMI cutoff of 7.6 was enough for identifying males with malnutrition (<i>P</i> < 0.001), while it should be combined with other parameters in females.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Body 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.</p>\n </section>\n </div>","PeriodicalId":48911,"journal":{"name":"Journal of Cachexia Sarcopenia and Muscle","volume":"15 6","pages":"2426-2436"},"PeriodicalIF":9.4000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcsm.13577","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cachexia Sarcopenia and Muscle","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jcsm.13577","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Malnutrition 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.
Methods
Cross-sectional, observational study that included 509 HNC patients. A comprehensive nutritional evaluation that included BIVA was performed.
Results
The 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.
Conclusions
Body 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.
期刊介绍:
The Journal of Cachexia, Sarcopenia and Muscle is a peer-reviewed international journal dedicated to publishing materials related to cachexia and sarcopenia, as well as body composition and its physiological and pathophysiological changes across the lifespan and in response to various illnesses from all fields of life sciences. The journal aims to provide a reliable resource for professionals interested in related research or involved in the clinical care of affected patients, such as those suffering from AIDS, cancer, chronic heart failure, chronic lung disease, liver cirrhosis, chronic kidney failure, rheumatoid arthritis, or sepsis.